Hypertuning¶
Setup¶
In [1]:
#!conda install kaggle --yes
In [2]:
#!conda install hyperopt --yes
In [3]:
import datetime
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import xgboost as xgb
from hyperopt import hp
from hyperopt import tpe
from hyperopt import Trials
from hyperopt import fmin
from hyperopt.pyll.stochastic import sample
from hyperopt import STATUS_OK
from hyperopt import STATUS_FAIL
from hyperopt import plotting
from sklearn.preprocessing import StandardScaler
from sklearn.preprocessing import OneHotEncoder
from sklearn.pipeline import Pipeline
from sklearn.compose import ColumnTransformer
from sklearn.model_selection import train_test_split
from sklearn.model_selection import StratifiedKFold
from sklearn.model_selection import cross_val_score
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import RandomizedSearchCV
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.metrics import classification_report
from sklearn.metrics import log_loss
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble import RandomForestClassifier
from sklearn.ensemble import VotingClassifier
Data¶
In [4]:
!kaggle competitions download -c ghouls-goblins-and-ghosts-boo -p ./ghost
ghouls-goblins-and-ghosts-boo.zip: Skipping, found more recently modified local copy (use --force to force download)
In [5]:
!(cd ghost; unzip -o ghouls-goblins-and-ghosts-boo.zip)
!(cd ghost; unzip -o train.csv.zip)
Archive: ghouls-goblins-and-ghosts-boo.zip inflating: sample_submission.csv.zip inflating: test.csv.zip inflating: train.csv.zip Archive: train.csv.zip inflating: train.csv
In [6]:
!ls ghost
ghouls-goblins-and-ghosts-boo.zip train.csv sample_submission.csv.zip train.csv.zip test.csv.zip
In [7]:
df = pd.read_csv('ghost/train.csv')
In [8]:
df.head()
Out[8]:
| id | bone_length | rotting_flesh | hair_length | has_soul | color | type | |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0.354512 | 0.350839 | 0.465761 | 0.781142 | clear | Ghoul |
| 1 | 1 | 0.575560 | 0.425868 | 0.531401 | 0.439899 | green | Goblin |
| 2 | 2 | 0.467875 | 0.354330 | 0.811616 | 0.791225 | black | Ghoul |
| 3 | 4 | 0.776652 | 0.508723 | 0.636766 | 0.884464 | black | Ghoul |
| 4 | 5 | 0.566117 | 0.875862 | 0.418594 | 0.636438 | green | Ghost |
Features & Target¶
Column Types¶
In [9]:
df.dtypes
Out[9]:
id int64 bone_length float64 rotting_flesh float64 hair_length float64 has_soul float64 color object type object dtype: object
In [10]:
y = df['type']
X = df.drop(columns=['type', 'id'])
In [11]:
X.shape, y.shape
Out[11]:
((371, 5), (371,))
EDA¶
Missing¶
In [12]:
X.isna().sum()
Out[12]:
bone_length 0 rotting_flesh 0 hair_length 0 has_soul 0 color 0 dtype: int64
Class Balance¶
In [13]:
df.groupby('type').size().plot.bar()
Out[13]:
<matplotlib.axes._subplots.AxesSubplot at 0x117713390>
Pair Plot¶
- There is some grouping, but not really separable
- Possible that we could project this data to a different space could help
- Interactions may be useful
In [14]:
sns.pairplot(df[['bone_length', 'rotting_flesh', 'hair_length', 'has_soul', 'type']], hue='type')
Out[14]:
<seaborn.axisgrid.PairGrid at 0x1176f1b38>
Color¶
- Not a lot of separation here
- Perhaps, clear is a little less likely to be a ghost
- And if you have blood color not as likely to be a goblin
In [15]:
plt.figure(figsize=(10,8))
sns.countplot(x='color', hue='type', data=df)
Out[15]:
<matplotlib.axes._subplots.AxesSubplot at 0x11a0a8f98>
Metrics¶
In [16]:
def errors(y, yhat):
accuracy = accuracy_score(yhat, y)
print('Accuracy', accuracy)
print('Confusion Matrix')
print(confusion_matrix(yhat, y))
print('Classification Report')
print(classification_report(yhat, y))
return accuracy
In [17]:
resultsDF = pd.DataFrame(columns=['Time', 'Accuracy'])
Pipeline¶
In [18]:
featuresN = ['bone_length',
'rotting_flesh',
'hair_length',
'has_soul']
transformerN = Pipeline(steps=[('scaler', StandardScaler())], verbose=True)
featuresC = ['color']
transformerC = Pipeline(steps=[('ohe', OneHotEncoder())], verbose=True)
preprocessor = ColumnTransformer(transformers=[
('numerical', transformerN, featuresN),
('categorical', transformerC, featuresC)
])
In [19]:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=46)
X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.2, random_state=46)
In [20]:
pipe = Pipeline(steps=[('pre', preprocessor)])
X_train_proc = pipe.fit_transform(X_train, y_train)
X_val_proc = pipe.fit_transform(X_val, y_val)
X_test_proc = pipe.fit_transform(X_test, y_test)
[Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s [Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s [Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s
Baseline Model¶
- Split Train - Validation - Test
In [21]:
bst = xgb.XGBClassifier(n_estimators=10000,
max_depth=4,
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
Fit¶
In [22]:
startDefault = datetime.datetime.now()
eval_set = [(X_val_proc, y_val)]
bst.fit(X_train_proc, y_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=eval_set,
verbose=True)
endDefault = datetime.datetime.now()
[0] validation_0-merror:0.333333 validation_0-mlogloss:1.04431 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00265 [2] validation_0-merror:0.35 validation_0-mlogloss:0.969908 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.943569 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920085 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899691 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880294 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.861652 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850396 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841422 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829942 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.823159 [12] validation_0-merror:0.35 validation_0-mlogloss:0.812241 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.810833 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.8124 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.804465 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.805445 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.798504 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794427 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.790419 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.787147 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.78924 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.784578 [23] validation_0-merror:0.35 validation_0-mlogloss:0.783383 [24] validation_0-merror:0.35 validation_0-mlogloss:0.789195 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.790584 [26] validation_0-merror:0.35 validation_0-mlogloss:0.793064 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.795901 [28] validation_0-merror:0.35 validation_0-mlogloss:0.794447 Stopping. Best iteration: [23] validation_0-merror:0.35 validation_0-mlogloss:0.783383
In [23]:
defaultTime = (endDefault - startDefault).seconds
print(f'Default took {defaultTime} seconds')
Default took 0 seconds
Predict¶
In [24]:
proba = bst.predict_proba(X_test_proc, bst.best_iteration)
pred = np.argmax(proba, axis=1)
truth = y_test.astype('category').cat.codes
acc = errors(truth, pred);
Accuracy 0.6666666666666666
Confusion Matrix
[[19 0 3]
[ 5 17 8]
[ 3 6 14]]
Classification Report
precision recall f1-score support
0 0.70 0.86 0.78 22
1 0.74 0.57 0.64 30
2 0.56 0.61 0.58 23
accuracy 0.67 75
macro avg 0.67 0.68 0.67 75
weighted avg 0.67 0.67 0.66 75
Log Results¶
In [25]:
resultsDF.loc['Default'] = [defaultTime, acc]
resultsDF
Out[25]:
| Time | Accuracy | |
|---|---|---|
| Default | 0.0 | 0.666667 |
Leaderboard¶
- Most scores around .758 to .752
- Test-Train-Val split lags the leaderboard .666
- Not surprising ... We didn't:
- Attempt feature engineering
- Hypertune XGBoost (Used some simple settings)
In [26]:
!kaggle competitions leaderboard -c ghouls-goblins-and-ghosts-boo --show
teamId teamName submissionDate score ------ ---------------------------------- ------------------- ------- 411720 Victor Kasatkin overfits PLB 2016-12-01 07:51:50 1.00000 397199 anokas and his overfitting bazooka 2016-11-24 09:59:07 0.80718 402601 HangYu 2016-12-01 04:30:22 0.77504 413031 Daqi's overfitting Bazinga 2016-11-29 18:44:57 0.77315 414968 the 10 minute overfit 2016-12-01 08:25:34 0.76937 405019 DDerek 2016-12-01 11:57:29 0.76748 411108 Jeans 2016-12-01 17:33:56 0.76748 414353 exCite 2016-12-01 02:00:36 0.76559 419851 victor 2016-12-01 19:00:15 0.76370 419903 Ghost 2016-12-01 19:18:10 0.76370 400304 Prakhar Agarwal 2016-12-01 19:22:25 0.76370 398369 Gilles Vandewiele 2016-11-28 16:09:17 0.76181 417571 shaka 2016-12-01 01:55:58 0.76181 403046 alitvin 2016-12-01 19:22:13 0.75992 409646 Marta Klimaszewska 2016-12-01 08:37:33 0.75992 419799 trail 2016-12-01 18:48:31 0.75992 402429 Boris Filippov 2016-12-01 23:53:12 0.75992 413456 SISU 2016-11-28 00:08:11 0.75803 418263 shall 2016-12-01 01:43:02 0.75803 417196 yoyoyo 2016-12-01 08:33:19 0.75803 396954 MahirKukreja 2016-12-01 08:40:08 0.75803 419709 overfit 2016-12-01 18:34:18 0.75803 406998 Farzi100 2016-12-01 18:39:05 0.75614 400229 d4t4sc13nt1st 2016-11-25 08:34:48 0.75614 404822 Wei Sun 2016-11-28 01:19:59 0.75614 411175 AyanAdhikari 2016-11-28 05:51:15 0.75614 415501 JoyTest3 2016-11-30 14:25:51 0.75614 413216 JoyGarfield 2016-11-30 14:34:14 0.75614 398089 Velibor Ilic 2016-11-28 17:18:11 0.75425 405345 PaulG 2016-11-25 04:06:06 0.75425 415165 gwsan826 2016-12-01 14:30:25 0.75425 414787 JADS Keje 2016-11-29 12:54:41 0.75425 413961 Lynn 2016-12-01 12:29:12 0.75425 396888 Kirill Olmezov 2016-12-01 06:48:28 0.75425 397026 Aakashaggawral 2016-12-01 07:58:28 0.75425 402193 Rubén Avalos 2016-11-14 03:40:35 0.75236 403038 l-ray 2016-11-12 16:09:45 0.75236 411851 AnadiChaturvedi 2016-11-26 18:25:25 0.75236 412605 LucguQolfiera 2016-11-26 08:52:30 0.75236 402411 GauravJoshi 2016-11-27 14:11:41 0.75236 415104 aliyahdamar 2016-11-25 10:45:53 0.75236 415609 TCWQBY 2016-11-27 02:31:28 0.75236 415664 kkks 2016-11-30 17:50:52 0.75236 417239 Anjith George 2016-12-01 19:29:55 0.75236 403713 Alexander Vasilenko 2016-12-01 06:53:24 0.75236 398535 Kirill Kuts 2016-12-01 07:00:02 0.75236 414582 JoyTest 2016-11-30 14:15:45 0.75236 402862 soft201mssb 2016-11-30 15:54:33 0.75236 415856 Boozebulak 2016-12-01 00:08:23 0.75236 416186 sourav kalra 2016-12-01 07:50:16 0.75236
XGBoost Parameters¶
- Controlling model complexity
- max_depth : Max allowable depth of nodes (splits)
- min_child_weight : Minimum child weight to create a leaf node
- gamma : Minium loss reduction required to make a further split on a node
- Adding randomness to make training robust to noise
- subsample : sample % of training data for an iteration
- colsample_bytree : sample % of columns available for an iteration
In [27]:
param_grid = {'max_depth': [2,4,6,8],
'min_child_weight': [1,2,3,4,5],
'gamma': [0.0, 0.1, 0.2, 0.3],
'subsample':[0.6, 0.8, 1.0],
'colsample_bytree':[0.6, 0.8, 1.0]}
Grid Search¶
- Grid search is exhaustive, trying all combinations
- Expensive in terms of compute and time
- In our example we'll search over 5 common parameters with early stop
- That's 4 5 4 3 3 models = 720 searches
- Each model is being cross fold validated as well 720 * 3 = 2,160
- Over 2 minutes to train
- In Battleship terms - it's the equivalent of putting a peg in each hole
Search¶
In [28]:
startGrid = datetime.datetime.now()
fit_params = {'early_stopping_rounds':5,
'eval_metric': [ 'merror', 'mlogloss'],
'eval_set': [(X_val_proc, y_val)]}
kfold = StratifiedKFold(n_splits=3, random_state=8)
model = xgb.XGBClassifier(n_estimators=10000,
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=0)
gridsearch = GridSearchCV(model, param_grid,
verbose=0,
cv=kfold)
gridsearch.fit(X_train_proc, y_train, **fit_params)
endGrid = datetime.datetime.now()
[0] validation_0-merror:0.4 validation_0-mlogloss:1.05726 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02672 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00005 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970093 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.962484 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941913 [6] validation_0-merror:0.35 validation_0-mlogloss:0.924615 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.909442 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.888094 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859473 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845054 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.832724 [13] validation_0-merror:0.3 validation_0-mlogloss:0.823359 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812038 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.807477 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.795286 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.78303 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.777331 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772807 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.764871 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.758117 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.751434 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744867 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.732936 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.72582 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.711215 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705201 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702354 [29] validation_0-merror:0.25 validation_0-mlogloss:0.695727 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.691588 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.687794 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.68322 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680128 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.679928 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.679019 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.677465 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.672384 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.673229 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.668839 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.669584 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.670817 [42] validation_0-merror:0.3 validation_0-mlogloss:0.665535 [43] validation_0-merror:0.3 validation_0-mlogloss:0.664641 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660614 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.657051 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656735 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.655025 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.653599 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.655258 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.65176 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.652799 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653979 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.657605 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.656571 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.654584 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.65176 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04005 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00421 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983026 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.954007 [5] validation_0-merror:0.4 validation_0-mlogloss:0.932684 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.911895 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89587 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.875726 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859092 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842363 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830486 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82381 [13] validation_0-merror:0.35 validation_0-mlogloss:0.816299 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809372 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800594 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.794176 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788413 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784841 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.776186 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773666 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767164 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766118 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761321 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759534 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756347 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752534 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748947 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742317 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.741077 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.741177 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.738471 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736673 [33] validation_0-merror:0.35 validation_0-mlogloss:0.733443 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.736995 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.737276 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.730554 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.731618 [38] validation_0-merror:0.35 validation_0-mlogloss:0.729974 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.728248 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.72674 [41] validation_0-merror:0.35 validation_0-mlogloss:0.722755 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.72244 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.717819 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.716316 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.717931 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.721155 [47] validation_0-merror:0.35 validation_0-mlogloss:0.7183 [48] validation_0-merror:0.35 validation_0-mlogloss:0.720313 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.725663 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.716316 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0702 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04471 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00802 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.992068 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962353 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.937658 [6] validation_0-merror:0.3 validation_0-mlogloss:0.91848 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.900922 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880632 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.868598 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.848 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.834827 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.820317 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.802036 [14] validation_0-merror:0.3 validation_0-mlogloss:0.785859 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.780717 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.772189 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768709 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.756744 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750355 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.745919 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.738502 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.7321 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.724758 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723126 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.7175 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.713498 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708177 [28] validation_0-merror:0.3 validation_0-mlogloss:0.702292 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.696366 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688621 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684886 [32] validation_0-merror:0.3 validation_0-mlogloss:0.680643 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68147 [34] validation_0-merror:0.3 validation_0-mlogloss:0.679085 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.677782 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671354 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.66944 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.667937 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.666297 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.663336 [41] validation_0-merror:0.3 validation_0-mlogloss:0.657504 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.657022 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.652109 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.649619 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.648651 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.650012 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.649014 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.648326 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.646968 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.647074 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.646275 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.641551 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.643245 [54] validation_0-merror:0.3 validation_0-mlogloss:0.64654 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.644074 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.643573 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.641317 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.639834 [59] validation_0-merror:0.3 validation_0-mlogloss:0.638715 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.637675 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.638956 [62] validation_0-merror:0.3 validation_0-mlogloss:0.639532 [63] validation_0-merror:0.3 validation_0-mlogloss:0.638424 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.638963 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.638923 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.637675 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05311 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01885 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992598 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963711 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955657 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928463 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908113 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890626 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872198 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853284 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839063 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82336 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809987 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800039 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79068 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783709 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774562 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764244 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758715 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751995 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745963 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740657 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729358 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.724272 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716023 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711084 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702963 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.70082 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.698071 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694392 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.68956 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686294 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681846 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.677512 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.674934 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.672801 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.668867 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.671195 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674499 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671647 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671595 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670747 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.668867 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06436 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03619 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00717 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980242 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953412 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.931024 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914544 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.90011 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879913 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.86483 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.854175 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845798 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836277 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827399 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.818281 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808614 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.806005 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802553 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.794484 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.791437 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.784541 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780107 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.77542 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769051 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767334 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762715 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754631 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754877 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750858 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748636 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746096 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.746702 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.743528 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.738334 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738402 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.736847 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.736056 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.736316 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.734388 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.733676 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.733773 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733509 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.733263 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.731822 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.731228 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.727515 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.727241 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.727027 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.723957 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.725611 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.727331 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.728934 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.73233 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.732391 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.723957 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06927 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04446 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01187 [3] validation_0-merror:0.4 validation_0-mlogloss:0.988847 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.965723 [5] validation_0-merror:0.35 validation_0-mlogloss:0.945113 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911513 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.888025 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.872132 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.858835 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845672 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.83299 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822731 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811514 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803633 [16] validation_0-merror:0.35 validation_0-mlogloss:0.797046 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786525 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775789 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768763 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.766245 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.762248 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754151 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747227 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.738935 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.733767 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.729382 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.724323 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.71763 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.711591 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.70733 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.705056 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.699092 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.700934 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.695788 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.693253 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.688658 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.686175 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.68118 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.679864 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.677099 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.676378 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.674583 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.67207 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.673698 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.671131 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.667934 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.668301 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667989 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.670742 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.668768 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.667112 [52] validation_0-merror:0.3 validation_0-mlogloss:0.665827 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668284 [54] validation_0-merror:0.3 validation_0-mlogloss:0.667383 [55] validation_0-merror:0.3 validation_0-mlogloss:0.666523 [56] validation_0-merror:0.3 validation_0-mlogloss:0.664038 [57] validation_0-merror:0.3 validation_0-mlogloss:0.661252 [58] validation_0-merror:0.3 validation_0-mlogloss:0.660081 [59] validation_0-merror:0.3 validation_0-mlogloss:0.657832 [60] validation_0-merror:0.3 validation_0-mlogloss:0.653757 [61] validation_0-merror:0.3 validation_0-mlogloss:0.654029 [62] validation_0-merror:0.3 validation_0-mlogloss:0.65482 [63] validation_0-merror:0.3 validation_0-mlogloss:0.656574 [64] validation_0-merror:0.3 validation_0-mlogloss:0.658629 [65] validation_0-merror:0.3 validation_0-mlogloss:0.655356 Stopping. Best iteration: [60] validation_0-merror:0.3 validation_0-mlogloss:0.653757 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02433 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993379 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970753 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941311 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917251 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901316 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890118 [8] validation_0-merror:0.3 validation_0-mlogloss:0.875711 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.861543 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.848222 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83528 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.821018 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807454 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797752 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.786212 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778489 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768327 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758967 [19] validation_0-merror:0.3 validation_0-mlogloss:0.749477 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742257 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737656 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.730777 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727086 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723979 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719298 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716351 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713679 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711996 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706465 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704045 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699302 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698404 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694986 [34] validation_0-merror:0.3 validation_0-mlogloss:0.693946 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692347 [36] validation_0-merror:0.3 validation_0-mlogloss:0.685758 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.680665 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682319 [39] validation_0-merror:0.3 validation_0-mlogloss:0.679835 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678433 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.676146 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.673986 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.674941 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.675368 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.676333 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.675444 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.675973 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.673986 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0324 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.4 validation_0-mlogloss:0.987192 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961958 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936442 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92171 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911402 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897534 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.883863 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870499 [11] validation_0-merror:0.35 validation_0-mlogloss:0.855375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.841011 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.828179 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820683 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.816872 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808566 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802375 [18] validation_0-merror:0.4 validation_0-mlogloss:0.796988 [19] validation_0-merror:0.4 validation_0-mlogloss:0.788644 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.785776 [21] validation_0-merror:0.4 validation_0-mlogloss:0.783286 [22] validation_0-merror:0.4 validation_0-mlogloss:0.780444 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775986 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772234 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769093 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.764629 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762103 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.758172 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.757286 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.758489 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757251 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.751264 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74991 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746382 [35] validation_0-merror:0.35 validation_0-mlogloss:0.742298 [36] validation_0-merror:0.35 validation_0-mlogloss:0.745241 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.744602 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.73956 [39] validation_0-merror:0.35 validation_0-mlogloss:0.738633 [40] validation_0-merror:0.35 validation_0-mlogloss:0.73819 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.734765 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.733885 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.73114 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.72826 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.727893 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.73092 [47] validation_0-merror:0.35 validation_0-mlogloss:0.730796 [48] validation_0-merror:0.35 validation_0-mlogloss:0.730199 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.729429 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.727311 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.727092 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.725598 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.724639 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.723362 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.721918 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.720726 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.72246 [58] validation_0-merror:0.383333 validation_0-mlogloss:0.7241 [59] validation_0-merror:0.366667 validation_0-mlogloss:0.726374 [60] validation_0-merror:0.383333 validation_0-mlogloss:0.725002 [61] validation_0-merror:0.383333 validation_0-mlogloss:0.728028 Stopping. Best iteration: [56] validation_0-merror:0.383333 validation_0-mlogloss:0.720726 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04155 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01652 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00152 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.985254 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.961206 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.946625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.935171 [8] validation_0-merror:0.35 validation_0-mlogloss:0.917596 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.902731 [10] validation_0-merror:0.35 validation_0-mlogloss:0.883005 [11] validation_0-merror:0.35 validation_0-mlogloss:0.868999 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.851613 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.841103 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.82895 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.823836 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812416 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803686 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792047 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781897 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.774156 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768709 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761214 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755071 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748235 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742894 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736713 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731613 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.725749 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.721233 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721734 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716475 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709097 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.705282 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701222 [35] validation_0-merror:0.3 validation_0-mlogloss:0.697834 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69484 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.691976 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687741 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685331 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.6824 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.679623 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677447 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.674029 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671614 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.669057 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.668769 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665902 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.663023 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659635 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.659021 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.657203 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.654936 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.655711 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.65394 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.655043 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652906 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.649732 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.648964 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.648644 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.646482 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.643836 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.642309 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.641841 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.641349 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.642744 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.640679 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.640056 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.63828 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.637545 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.636601 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.635989 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.637109 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.635407 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.63762 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.6375 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.636783 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.639176 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.638271 Stopping. Best iteration: [73] validation_0-merror:0.266667 validation_0-mlogloss:0.635407 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02446 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00217 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973142 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.964394 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.945688 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.930538 [7] validation_0-merror:0.35 validation_0-mlogloss:0.912778 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894663 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879073 [10] validation_0-merror:0.35 validation_0-mlogloss:0.86606 [11] validation_0-merror:0.3 validation_0-mlogloss:0.851451 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.838905 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.833366 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821578 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816116 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803412 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791672 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78771 [19] validation_0-merror:0.3 validation_0-mlogloss:0.779589 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770713 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.766226 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759617 [23] validation_0-merror:0.35 validation_0-mlogloss:0.753009 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741547 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736062 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724558 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717873 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710895 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701571 [30] validation_0-merror:0.3 validation_0-mlogloss:0.697236 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.694533 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688874 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684511 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684584 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682374 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680887 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67637 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675571 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671382 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671649 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672126 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666253 [43] validation_0-merror:0.3 validation_0-mlogloss:0.665661 [44] validation_0-merror:0.3 validation_0-mlogloss:0.662109 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.658498 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656395 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.653907 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.650392 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.652636 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.64955 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.651596 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.651945 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.654946 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654185 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.652313 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.64955 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06427 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0391 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00336 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983009 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.954928 [5] validation_0-merror:0.4 validation_0-mlogloss:0.934116 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.913014 [7] validation_0-merror:0.4 validation_0-mlogloss:0.896259 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.877359 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.859782 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844168 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832009 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825297 [13] validation_0-merror:0.35 validation_0-mlogloss:0.816312 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810465 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.801231 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794823 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78931 [18] validation_0-merror:0.35 validation_0-mlogloss:0.78559 [19] validation_0-merror:0.35 validation_0-mlogloss:0.777862 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775261 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769154 [22] validation_0-merror:0.35 validation_0-mlogloss:0.767542 [23] validation_0-merror:0.35 validation_0-mlogloss:0.763933 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761418 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758335 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755593 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753148 [28] validation_0-merror:0.35 validation_0-mlogloss:0.750705 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.749362 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.748864 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.746803 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.745038 [33] validation_0-merror:0.35 validation_0-mlogloss:0.742102 [34] validation_0-merror:0.35 validation_0-mlogloss:0.746017 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.745663 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.7401 [37] validation_0-merror:0.35 validation_0-mlogloss:0.740541 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738318 [39] validation_0-merror:0.35 validation_0-mlogloss:0.736863 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.734957 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733833 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.73132 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.728538 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.728422 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.730718 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.736314 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.731562 [48] validation_0-merror:0.35 validation_0-mlogloss:0.732175 [49] validation_0-merror:0.35 validation_0-mlogloss:0.737798 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.728422 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06995 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04421 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.0075 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.991617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.963321 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938512 [6] validation_0-merror:0.3 validation_0-mlogloss:0.919439 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902402 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884528 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870558 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.849593 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.836355 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822046 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.803487 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.787563 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.782285 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.774011 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770046 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.757988 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.751775 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.747179 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.73825 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731789 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.724057 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.722315 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.718493 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710111 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.703603 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.697085 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.693548 [30] validation_0-merror:0.25 validation_0-mlogloss:0.686246 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683264 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.679226 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680086 [34] validation_0-merror:0.3 validation_0-mlogloss:0.677511 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.677764 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670017 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669026 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.668005 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.666201 [40] validation_0-merror:0.3 validation_0-mlogloss:0.663256 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.658127 [42] validation_0-merror:0.25 validation_0-mlogloss:0.660446 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.654729 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.654145 [45] validation_0-merror:0.25 validation_0-mlogloss:0.65297 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.657086 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.655658 [48] validation_0-merror:0.25 validation_0-mlogloss:0.653793 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654681 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.654837 Stopping. Best iteration: [45] validation_0-merror:0.25 validation_0-mlogloss:0.65297 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01811 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.991785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962936 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954847 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928676 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905885 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.889106 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870694 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852717 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838507 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823934 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810909 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802584 [14] validation_0-merror:0.3 validation_0-mlogloss:0.792219 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78538 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77652 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765916 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759989 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753671 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746915 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.740689 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729444 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.72573 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.717407 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71096 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702981 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.70082 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698349 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694497 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688484 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683107 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.679035 [33] validation_0-merror:0.25 validation_0-mlogloss:0.676534 [34] validation_0-merror:0.25 validation_0-mlogloss:0.673719 [35] validation_0-merror:0.25 validation_0-mlogloss:0.670537 [36] validation_0-merror:0.25 validation_0-mlogloss:0.667352 [37] validation_0-merror:0.25 validation_0-mlogloss:0.669041 [38] validation_0-merror:0.25 validation_0-mlogloss:0.671333 [39] validation_0-merror:0.25 validation_0-mlogloss:0.668682 [40] validation_0-merror:0.25 validation_0-mlogloss:0.669156 [41] validation_0-merror:0.25 validation_0-mlogloss:0.668188 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.667352 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0359 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00639 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.97892 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.952764 [5] validation_0-merror:0.3 validation_0-mlogloss:0.92984 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913195 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899084 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879015 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.863813 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853256 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.844964 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835668 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.826895 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817125 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808029 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805108 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801176 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792264 [19] validation_0-merror:0.35 validation_0-mlogloss:0.789155 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.782078 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778388 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.773782 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.767711 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766198 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761437 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754271 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754668 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75318 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750778 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.750656 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751011 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.747709 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742793 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744469 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741861 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741471 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.740811 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.739528 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.739741 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.737994 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.740607 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.740183 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.739272 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.73809 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737355 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.736702 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.734465 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.738345 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.739917 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.744885 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.74773 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.748397 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.734465 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.04111 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00945 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961854 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942788 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.925134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910981 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889733 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873623 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861209 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848962 [12] validation_0-merror:0.3 validation_0-mlogloss:0.835572 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825223 [14] validation_0-merror:0.35 validation_0-mlogloss:0.813685 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.80597 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800897 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792799 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783324 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776316 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775903 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774169 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767243 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760337 [24] validation_0-merror:0.35 validation_0-mlogloss:0.752418 [25] validation_0-merror:0.35 validation_0-mlogloss:0.74698 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740965 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736126 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728916 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72289 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.719175 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.71639 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.709442 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.710111 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.704888 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.704377 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.699947 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694736 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.691318 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.688946 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.685385 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.686035 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.683101 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.681462 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.681936 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.680782 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.67674 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.676037 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.67313 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.675375 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.672931 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.669576 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668356 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.668332 [54] validation_0-merror:0.3 validation_0-mlogloss:0.669747 [55] validation_0-merror:0.3 validation_0-mlogloss:0.667857 [56] validation_0-merror:0.3 validation_0-mlogloss:0.666419 [57] validation_0-merror:0.3 validation_0-mlogloss:0.663253 [58] validation_0-merror:0.3 validation_0-mlogloss:0.661342 [59] validation_0-merror:0.3 validation_0-mlogloss:0.658856 [60] validation_0-merror:0.3 validation_0-mlogloss:0.656191 [61] validation_0-merror:0.3 validation_0-mlogloss:0.656525 [62] validation_0-merror:0.3 validation_0-mlogloss:0.65796 [63] validation_0-merror:0.3 validation_0-mlogloss:0.659788 [64] validation_0-merror:0.3 validation_0-mlogloss:0.661455 [65] validation_0-merror:0.3 validation_0-mlogloss:0.658163 Stopping. Best iteration: [60] validation_0-merror:0.3 validation_0-mlogloss:0.656191 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02327 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992351 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.969668 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941287 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916239 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901263 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890077 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876154 [9] validation_0-merror:0.3 validation_0-mlogloss:0.862492 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84947 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835863 [12] validation_0-merror:0.3 validation_0-mlogloss:0.820957 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808208 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798967 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787353 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.777866 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.76886 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759627 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752763 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747292 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742192 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.737305 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73387 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731388 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724832 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722344 [27] validation_0-merror:0.3 validation_0-mlogloss:0.719389 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716229 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710128 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708123 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.70368 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702439 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700229 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700544 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.698334 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695289 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688854 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.689488 [39] validation_0-merror:0.3 validation_0-mlogloss:0.688042 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68672 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.684862 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682828 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.68264 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.680117 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.680719 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.679748 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677869 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.677795 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.675586 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.67387 [51] validation_0-merror:0.25 validation_0-mlogloss:0.675026 [52] validation_0-merror:0.25 validation_0-mlogloss:0.672754 [53] validation_0-merror:0.25 validation_0-mlogloss:0.671707 [54] validation_0-merror:0.25 validation_0-mlogloss:0.673548 [55] validation_0-merror:0.25 validation_0-mlogloss:0.673089 [56] validation_0-merror:0.25 validation_0-mlogloss:0.673863 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.673548 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.674028 Stopping. Best iteration: [53] validation_0-merror:0.25 validation_0-mlogloss:0.671707 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06166 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00622 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985205 [4] validation_0-merror:0.4 validation_0-mlogloss:0.961256 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93559 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920402 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.909482 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.894399 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.880583 [10] validation_0-merror:0.4 validation_0-mlogloss:0.867074 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851762 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.836474 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815614 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.81208 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803284 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796122 [18] validation_0-merror:0.4 validation_0-mlogloss:0.792537 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783889 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778132 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775328 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.770555 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.76738 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763564 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.760935 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756181 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753253 [28] validation_0-merror:0.35 validation_0-mlogloss:0.747772 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747853 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.747119 [31] validation_0-merror:0.35 validation_0-mlogloss:0.748032 [32] validation_0-merror:0.35 validation_0-mlogloss:0.741156 [33] validation_0-merror:0.35 validation_0-mlogloss:0.740632 [34] validation_0-merror:0.35 validation_0-mlogloss:0.733865 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.730248 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.731136 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.730109 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.728913 [39] validation_0-merror:0.35 validation_0-mlogloss:0.726362 [40] validation_0-merror:0.35 validation_0-mlogloss:0.725382 [41] validation_0-merror:0.35 validation_0-mlogloss:0.722319 [42] validation_0-merror:0.35 validation_0-mlogloss:0.72146 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.722081 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.721136 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.722441 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.722888 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.72414 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.724528 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.724816 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.721136 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07283 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04079 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01534 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00047 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.978458 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954362 [6] validation_0-merror:0.35 validation_0-mlogloss:0.938961 [7] validation_0-merror:0.35 validation_0-mlogloss:0.927469 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.911015 [9] validation_0-merror:0.35 validation_0-mlogloss:0.89471 [10] validation_0-merror:0.35 validation_0-mlogloss:0.87492 [11] validation_0-merror:0.35 validation_0-mlogloss:0.85867 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.842522 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.831972 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82273 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818552 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807056 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798457 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789723 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779982 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773175 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767748 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760351 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752685 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74571 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740351 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73394 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730755 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725227 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721245 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.716768 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715296 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708171 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.704038 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700995 [35] validation_0-merror:0.3 validation_0-mlogloss:0.696632 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692527 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688928 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685682 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683338 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679175 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677388 [42] validation_0-merror:0.3 validation_0-mlogloss:0.676979 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673149 [44] validation_0-merror:0.3 validation_0-mlogloss:0.671976 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.668368 [46] validation_0-merror:0.3 validation_0-mlogloss:0.667189 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66532 [48] validation_0-merror:0.3 validation_0-mlogloss:0.662727 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.660987 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.657874 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.656547 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.655461 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.655709 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654382 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.652049 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.650394 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.651085 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.650705 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.650945 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.648217 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.64905 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.651222 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.652319 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.652516 [65] validation_0-merror:0.25 validation_0-mlogloss:0.648699 Stopping. Best iteration: [60] validation_0-merror:0.266667 validation_0-mlogloss:0.648217 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.05973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03024 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00708 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.978927 [4] validation_0-merror:0.4 validation_0-mlogloss:0.970171 [5] validation_0-merror:0.4 validation_0-mlogloss:0.950777 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.935343 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.917739 [8] validation_0-merror:0.35 validation_0-mlogloss:0.896306 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.880408 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.867004 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851871 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839479 [13] validation_0-merror:0.35 validation_0-mlogloss:0.831087 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.819678 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816715 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804342 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792552 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.787226 [19] validation_0-merror:0.3 validation_0-mlogloss:0.779079 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771369 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763948 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755766 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748722 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.737659 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735079 [26] validation_0-merror:0.35 validation_0-mlogloss:0.723707 [27] validation_0-merror:0.35 validation_0-mlogloss:0.716562 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.710044 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.704176 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.699524 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695173 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692389 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687478 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684533 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683179 [36] validation_0-merror:0.3 validation_0-mlogloss:0.68015 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67484 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675786 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673585 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673107 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673536 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670082 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667671 [44] validation_0-merror:0.3 validation_0-mlogloss:0.665475 [45] validation_0-merror:0.3 validation_0-mlogloss:0.662451 [46] validation_0-merror:0.3 validation_0-mlogloss:0.661739 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.660389 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.656364 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.657833 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653946 [51] validation_0-merror:0.3 validation_0-mlogloss:0.65518 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656299 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660182 [54] validation_0-merror:0.3 validation_0-mlogloss:0.660246 [55] validation_0-merror:0.3 validation_0-mlogloss:0.658987 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653946 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03984 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00519 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984303 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95629 [5] validation_0-merror:0.4 validation_0-mlogloss:0.935455 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.913727 [7] validation_0-merror:0.4 validation_0-mlogloss:0.89746 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878719 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861922 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.846851 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834648 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825608 [13] validation_0-merror:0.35 validation_0-mlogloss:0.817756 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812292 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803212 [16] validation_0-merror:0.35 validation_0-mlogloss:0.797079 [17] validation_0-merror:0.35 validation_0-mlogloss:0.792344 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789514 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781325 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777404 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774023 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772337 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768385 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76681 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763875 [26] validation_0-merror:0.35 validation_0-mlogloss:0.761818 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755485 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752226 [29] validation_0-merror:0.35 validation_0-mlogloss:0.750786 [30] validation_0-merror:0.35 validation_0-mlogloss:0.752627 [31] validation_0-merror:0.35 validation_0-mlogloss:0.74922 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747074 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744215 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.74711 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748495 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.742711 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744996 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.744948 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.743936 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.741792 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.736997 [42] validation_0-merror:0.35 validation_0-mlogloss:0.735062 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.732108 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728656 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.729937 [46] validation_0-merror:0.35 validation_0-mlogloss:0.730807 [47] validation_0-merror:0.35 validation_0-mlogloss:0.727342 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.728747 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.736573 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.735534 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.740099 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.739852 Stopping. Best iteration: [47] validation_0-merror:0.35 validation_0-mlogloss:0.727342 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.07382 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04741 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01075 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.993529 [4] validation_0-merror:0.35 validation_0-mlogloss:0.966689 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942827 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925947 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908469 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89063 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874181 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852575 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.838372 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.823687 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.808173 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796822 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79181 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783246 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.778207 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765732 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.759399 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.754498 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.745437 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740598 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732283 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730974 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726875 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719272 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712918 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708409 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.704593 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69693 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693037 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687267 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688976 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686292 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687575 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681507 [37] validation_0-merror:0.3 validation_0-mlogloss:0.678452 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678393 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676528 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673049 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.667259 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.667764 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663693 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660713 [45] validation_0-merror:0.3 validation_0-mlogloss:0.659681 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662846 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662691 [48] validation_0-merror:0.3 validation_0-mlogloss:0.663555 [49] validation_0-merror:0.3 validation_0-mlogloss:0.663614 [50] validation_0-merror:0.3 validation_0-mlogloss:0.665085 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.659681 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05261 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01782 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.992705 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964269 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956251 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930094 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908962 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891945 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874153 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855948 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828872 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81504 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806665 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795371 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788301 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77999 [17] validation_0-merror:0.3 validation_0-mlogloss:0.771455 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.76664 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760392 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752392 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747879 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736782 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.73228 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723948 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717639 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.709518 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.706367 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.703325 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699366 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694745 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.691241 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688811 [33] validation_0-merror:0.25 validation_0-mlogloss:0.68665 [34] validation_0-merror:0.25 validation_0-mlogloss:0.683986 [35] validation_0-merror:0.25 validation_0-mlogloss:0.680629 [36] validation_0-merror:0.25 validation_0-mlogloss:0.677847 [37] validation_0-merror:0.25 validation_0-mlogloss:0.679097 [38] validation_0-merror:0.25 validation_0-mlogloss:0.680314 [39] validation_0-merror:0.25 validation_0-mlogloss:0.674044 [40] validation_0-merror:0.25 validation_0-mlogloss:0.67306 [41] validation_0-merror:0.25 validation_0-mlogloss:0.67194 [42] validation_0-merror:0.25 validation_0-mlogloss:0.670248 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.668925 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.666361 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.665198 [46] validation_0-merror:0.25 validation_0-mlogloss:0.662745 [47] validation_0-merror:0.25 validation_0-mlogloss:0.65906 [48] validation_0-merror:0.25 validation_0-mlogloss:0.654552 [49] validation_0-merror:0.25 validation_0-mlogloss:0.656336 [50] validation_0-merror:0.25 validation_0-mlogloss:0.655755 [51] validation_0-merror:0.25 validation_0-mlogloss:0.656543 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.655041 [53] validation_0-merror:0.25 validation_0-mlogloss:0.656073 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.654552 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06563 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04086 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.01125 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.986634 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96034 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.937294 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.920924 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.90442 [8] validation_0-merror:0.3 validation_0-mlogloss:0.883774 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.868595 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.857799 [11] validation_0-merror:0.35 validation_0-mlogloss:0.850257 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.8415 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.83184 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.822712 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.8134 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.810381 [17] validation_0-merror:0.35 validation_0-mlogloss:0.805861 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7991 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.794902 [20] validation_0-merror:0.35 validation_0-mlogloss:0.787787 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.784001 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.780208 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.776192 [24] validation_0-merror:0.35 validation_0-mlogloss:0.776249 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.771284 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.764164 [27] validation_0-merror:0.35 validation_0-mlogloss:0.761654 [28] validation_0-merror:0.35 validation_0-mlogloss:0.758284 [29] validation_0-merror:0.35 validation_0-mlogloss:0.755639 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75624 [31] validation_0-merror:0.35 validation_0-mlogloss:0.756856 [32] validation_0-merror:0.35 validation_0-mlogloss:0.752659 [33] validation_0-merror:0.35 validation_0-mlogloss:0.747722 [34] validation_0-merror:0.35 validation_0-mlogloss:0.749419 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.745791 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.746031 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.749222 [38] validation_0-merror:0.35 validation_0-mlogloss:0.746593 [39] validation_0-merror:0.35 validation_0-mlogloss:0.745488 [40] validation_0-merror:0.35 validation_0-mlogloss:0.744501 [41] validation_0-merror:0.35 validation_0-mlogloss:0.745168 [42] validation_0-merror:0.35 validation_0-mlogloss:0.744486 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.745262 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.742522 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.74476 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.743085 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.745899 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.742443 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.746309 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.745143 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.7465 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.749489 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.751631 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.742443 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.04111 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00945 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961854 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.944849 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.926845 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.912751 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.891799 [9] validation_0-merror:0.35 validation_0-mlogloss:0.875729 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.862813 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.850782 [12] validation_0-merror:0.3 validation_0-mlogloss:0.838405 [13] validation_0-merror:0.3 validation_0-mlogloss:0.830329 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818491 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812028 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807334 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799279 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789475 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782387 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781824 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777924 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771173 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.764862 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756241 [25] validation_0-merror:0.35 validation_0-mlogloss:0.749097 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743774 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.738958 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.731469 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.723621 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.723049 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.719294 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.713339 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.71363 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.708521 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.707817 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.702457 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69661 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693861 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.691267 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.687273 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.6873 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.684491 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.682217 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.683075 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.681227 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.680979 [47] validation_0-merror:0.3 validation_0-mlogloss:0.679826 [48] validation_0-merror:0.3 validation_0-mlogloss:0.677561 [49] validation_0-merror:0.3 validation_0-mlogloss:0.679328 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677343 [51] validation_0-merror:0.3 validation_0-mlogloss:0.677277 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676095 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677058 [54] validation_0-merror:0.3 validation_0-mlogloss:0.676279 [55] validation_0-merror:0.3 validation_0-mlogloss:0.674584 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672602 [57] validation_0-merror:0.3 validation_0-mlogloss:0.66874 [58] validation_0-merror:0.3 validation_0-mlogloss:0.667736 [59] validation_0-merror:0.3 validation_0-mlogloss:0.667032 [60] validation_0-merror:0.3 validation_0-mlogloss:0.668415 [61] validation_0-merror:0.3 validation_0-mlogloss:0.666382 [62] validation_0-merror:0.3 validation_0-mlogloss:0.668724 [63] validation_0-merror:0.3 validation_0-mlogloss:0.670424 [64] validation_0-merror:0.3 validation_0-mlogloss:0.673682 [65] validation_0-merror:0.3 validation_0-mlogloss:0.6711 [66] validation_0-merror:0.3 validation_0-mlogloss:0.671397 Stopping. Best iteration: [61] validation_0-merror:0.3 validation_0-mlogloss:0.666382 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05742 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02405 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995359 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97231 [4] validation_0-merror:0.35 validation_0-mlogloss:0.946137 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920998 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905756 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894511 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880604 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865984 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852836 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837706 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824067 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811242 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802524 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79264 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782823 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772963 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762158 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752865 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745237 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740095 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733499 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729344 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72618 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.72138 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716981 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712863 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70995 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703965 [30] validation_0-merror:0.3 validation_0-mlogloss:0.701081 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.695015 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693564 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.689435 [34] validation_0-merror:0.3 validation_0-mlogloss:0.688647 [35] validation_0-merror:0.3 validation_0-mlogloss:0.68802 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.682851 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.680074 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.678392 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.676821 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.677118 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.67428 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.672115 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.669009 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.671483 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.673071 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.672619 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.670479 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.670984 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.669009 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03459 [2] validation_0-merror:0.4 validation_0-mlogloss:1.01134 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.989289 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963289 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937363 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921908 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.910652 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.895338 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882026 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868372 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.853355 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.839952 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827391 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818132 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807608 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799195 [17] validation_0-merror:0.35 validation_0-mlogloss:0.792338 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787253 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780018 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774906 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.771937 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765032 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759926 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756021 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751974 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749383 [27] validation_0-merror:0.35 validation_0-mlogloss:0.747216 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741764 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739006 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.735889 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.736938 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.733848 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.733275 [34] validation_0-merror:0.35 validation_0-mlogloss:0.731009 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731996 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.733299 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734311 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.732229 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.729908 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.732855 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.733974 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.733572 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.733203 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.734443 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.729908 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04022 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0149 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00018 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.978736 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954018 [6] validation_0-merror:0.35 validation_0-mlogloss:0.939694 [7] validation_0-merror:0.35 validation_0-mlogloss:0.928203 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.9107 [9] validation_0-merror:0.35 validation_0-mlogloss:0.89442 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.874744 [11] validation_0-merror:0.35 validation_0-mlogloss:0.858407 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.843294 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830995 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821092 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81669 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803817 [17] validation_0-merror:0.35 validation_0-mlogloss:0.796114 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789008 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778863 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.770779 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765981 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.758443 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750914 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74301 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737909 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732757 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730873 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724698 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722685 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720467 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71423 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.707572 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.704181 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.698708 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695366 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691849 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.688992 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.685716 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.6842 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.679769 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676188 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.675574 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.67398 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.671508 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.667761 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.665819 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.663422 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661533 [49] validation_0-merror:0.3 validation_0-mlogloss:0.660581 [50] validation_0-merror:0.3 validation_0-mlogloss:0.66062 [51] validation_0-merror:0.3 validation_0-mlogloss:0.658757 [52] validation_0-merror:0.3 validation_0-mlogloss:0.657171 [53] validation_0-merror:0.3 validation_0-mlogloss:0.654581 [54] validation_0-merror:0.3 validation_0-mlogloss:0.654765 [55] validation_0-merror:0.3 validation_0-mlogloss:0.653778 [56] validation_0-merror:0.3 validation_0-mlogloss:0.651644 [57] validation_0-merror:0.3 validation_0-mlogloss:0.649862 [58] validation_0-merror:0.3 validation_0-mlogloss:0.648726 [59] validation_0-merror:0.3 validation_0-mlogloss:0.649118 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.646019 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.643818 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.643575 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.643296 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.643471 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.643041 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.641833 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.64289 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.643113 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.644807 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.645039 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.647281 Stopping. Best iteration: [66] validation_0-merror:0.266667 validation_0-mlogloss:0.641833 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06182 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00317 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.974913 [4] validation_0-merror:0.4 validation_0-mlogloss:0.966137 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.942358 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.92699 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909804 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88852 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872456 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859462 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845132 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832947 [13] validation_0-merror:0.3 validation_0-mlogloss:0.821782 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811553 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.807178 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.793583 [17] validation_0-merror:0.3 validation_0-mlogloss:0.781242 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777441 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771352 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762635 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756267 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748287 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742891 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.732077 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731273 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722296 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715417 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708905 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703062 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698223 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692581 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689461 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684366 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681448 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678319 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676473 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67233 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674438 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671552 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674322 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672151 [42] validation_0-merror:0.3 validation_0-mlogloss:0.668269 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66693 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665741 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.663957 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664686 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.663907 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660207 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662348 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.659756 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.662325 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.663284 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.665104 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664102 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.662624 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.659756 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03984 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00519 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984303 [4] validation_0-merror:0.4 validation_0-mlogloss:0.955764 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.935623 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.913851 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897672 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878141 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863235 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.847267 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827679 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.818549 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.812877 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.803838 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.79823 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790339 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787313 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779323 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775043 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767971 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766865 [23] validation_0-merror:0.35 validation_0-mlogloss:0.763102 [24] validation_0-merror:0.35 validation_0-mlogloss:0.762323 [25] validation_0-merror:0.35 validation_0-mlogloss:0.759201 [26] validation_0-merror:0.35 validation_0-mlogloss:0.7575 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753804 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751542 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751702 [30] validation_0-merror:0.35 validation_0-mlogloss:0.752145 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750302 [32] validation_0-merror:0.35 validation_0-mlogloss:0.748683 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744186 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.747131 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.74926 [36] validation_0-merror:0.35 validation_0-mlogloss:0.747087 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749964 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749812 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744186 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07127 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04485 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00898 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.991839 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966972 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.943316 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925671 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908602 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89129 [9] validation_0-merror:0.3 validation_0-mlogloss:0.876832 [10] validation_0-merror:0.3 validation_0-mlogloss:0.8557 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841613 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828364 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812968 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801684 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795757 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789442 [17] validation_0-merror:0.3 validation_0-mlogloss:0.78366 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774946 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768414 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.761864 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.752571 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.746554 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737579 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73816 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.731795 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.728541 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722374 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.717303 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713368 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709737 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704853 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.701057 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701787 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698584 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698987 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692326 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.690909 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.689124 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.686541 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.681657 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.676514 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.679405 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674721 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672956 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.669386 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672325 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.671814 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.671365 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.672867 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.6728 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.669386 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01957 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99458 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966839 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958943 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932493 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.909074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891826 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875072 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857967 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843932 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828628 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816014 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806734 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795872 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790155 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779588 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771485 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766112 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759816 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.750808 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746333 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.735302 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73012 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.721739 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716312 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710863 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707785 [28] validation_0-merror:0.3 validation_0-mlogloss:0.704058 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700902 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697828 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.69343 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689791 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686598 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.684487 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.681096 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.679082 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.679298 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.681091 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.674972 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.673956 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.672875 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.672444 [43] validation_0-merror:0.25 validation_0-mlogloss:0.669726 [44] validation_0-merror:0.25 validation_0-mlogloss:0.666945 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.663048 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660406 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.657154 [48] validation_0-merror:0.25 validation_0-mlogloss:0.653498 [49] validation_0-merror:0.25 validation_0-mlogloss:0.655301 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.654934 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.655226 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650619 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.654171 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.653879 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.653533 [56] validation_0-merror:0.3 validation_0-mlogloss:0.653897 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.65161 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650619 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06219 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03843 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00869 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981789 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954191 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.931642 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.915808 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89986 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879333 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865424 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.854567 [11] validation_0-merror:0.35 validation_0-mlogloss:0.846162 [12] validation_0-merror:0.35 validation_0-mlogloss:0.83782 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828786 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.819838 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.810714 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807907 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803078 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.796048 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.794073 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784352 [21] validation_0-merror:0.35 validation_0-mlogloss:0.778706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774113 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770188 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770383 [25] validation_0-merror:0.35 validation_0-mlogloss:0.766309 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759829 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759318 [28] validation_0-merror:0.35 validation_0-mlogloss:0.757561 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.754977 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755535 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755722 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.753382 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.748151 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.748205 [35] validation_0-merror:0.35 validation_0-mlogloss:0.744295 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742541 [37] validation_0-merror:0.35 validation_0-mlogloss:0.742432 [38] validation_0-merror:0.35 validation_0-mlogloss:0.740299 [39] validation_0-merror:0.35 validation_0-mlogloss:0.741779 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.740488 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.741385 [42] validation_0-merror:0.35 validation_0-mlogloss:0.74101 [43] validation_0-merror:0.35 validation_0-mlogloss:0.741683 Stopping. Best iteration: [38] validation_0-merror:0.35 validation_0-mlogloss:0.740299 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07074 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0423 [2] validation_0-merror:0.35 validation_0-mlogloss:1.01073 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.986024 [4] validation_0-merror:0.35 validation_0-mlogloss:0.963061 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942179 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92446 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910531 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894563 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879321 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866531 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.855156 [12] validation_0-merror:0.3 validation_0-mlogloss:0.84193 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.83376 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.821788 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814803 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808602 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800806 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791072 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78126 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777613 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774354 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767426 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760575 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755606 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.748323 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744388 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.73871 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732164 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.724262 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.723976 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72107 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.713933 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.713545 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.708245 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.705838 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.701953 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698458 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.694758 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.693482 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.689005 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.688718 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.687611 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.685665 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.686991 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.684805 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682689 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.680539 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679172 [49] validation_0-merror:0.3 validation_0-mlogloss:0.68295 [50] validation_0-merror:0.3 validation_0-mlogloss:0.681087 [51] validation_0-merror:0.3 validation_0-mlogloss:0.679832 [52] validation_0-merror:0.3 validation_0-mlogloss:0.679226 [53] validation_0-merror:0.3 validation_0-mlogloss:0.678666 [54] validation_0-merror:0.3 validation_0-mlogloss:0.680195 [55] validation_0-merror:0.3 validation_0-mlogloss:0.678452 [56] validation_0-merror:0.3 validation_0-mlogloss:0.67479 [57] validation_0-merror:0.3 validation_0-mlogloss:0.673222 [58] validation_0-merror:0.3 validation_0-mlogloss:0.672696 [59] validation_0-merror:0.3 validation_0-mlogloss:0.672165 [60] validation_0-merror:0.3 validation_0-mlogloss:0.669004 [61] validation_0-merror:0.3 validation_0-mlogloss:0.671679 [62] validation_0-merror:0.3 validation_0-mlogloss:0.672313 [63] validation_0-merror:0.3 validation_0-mlogloss:0.67278 [64] validation_0-merror:0.3 validation_0-mlogloss:0.674728 [65] validation_0-merror:0.3 validation_0-mlogloss:0.670444 Stopping. Best iteration: [60] validation_0-merror:0.3 validation_0-mlogloss:0.669004 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03035 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00159 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978521 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95296 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926278 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910992 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901208 [8] validation_0-merror:0.3 validation_0-mlogloss:0.885473 [9] validation_0-merror:0.3 validation_0-mlogloss:0.87076 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857689 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842366 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.825885 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.81522 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.806469 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796406 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.78697 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777001 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766488 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759424 [20] validation_0-merror:0.3 validation_0-mlogloss:0.75058 [21] validation_0-merror:0.3 validation_0-mlogloss:0.746306 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742464 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738055 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732723 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72822 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725763 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72168 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718844 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713044 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710175 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704415 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700129 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698049 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696718 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694915 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692195 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685956 [38] validation_0-merror:0.3 validation_0-mlogloss:0.686856 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685934 [40] validation_0-merror:0.3 validation_0-mlogloss:0.687451 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.685535 [42] validation_0-merror:0.3 validation_0-mlogloss:0.684822 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685226 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.687272 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687645 [46] validation_0-merror:0.3 validation_0-mlogloss:0.684349 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.684769 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.685508 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.684852 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.683327 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.682549 [52] validation_0-merror:0.3 validation_0-mlogloss:0.681443 [53] validation_0-merror:0.3 validation_0-mlogloss:0.682935 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.683915 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.683523 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.68122 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.678471 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.676695 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.677958 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.676413 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.676109 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.67644 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.676353 [64] validation_0-merror:0.3 validation_0-mlogloss:0.677057 [65] validation_0-merror:0.3 validation_0-mlogloss:0.678986 [66] validation_0-merror:0.3 validation_0-mlogloss:0.678338 Stopping. Best iteration: [61] validation_0-merror:0.316667 validation_0-mlogloss:0.676109 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0377 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01477 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.993513 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.968026 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941723 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.926193 [7] validation_0-merror:0.4 validation_0-mlogloss:0.915534 [8] validation_0-merror:0.4 validation_0-mlogloss:0.900442 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.887429 [10] validation_0-merror:0.4 validation_0-mlogloss:0.873613 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.858799 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.844179 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830021 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821917 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.811552 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802571 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795573 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790725 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783998 [20] validation_0-merror:0.4 validation_0-mlogloss:0.779782 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.777152 [22] validation_0-merror:0.35 validation_0-mlogloss:0.769899 [23] validation_0-merror:0.35 validation_0-mlogloss:0.767802 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763218 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760161 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756615 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756415 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752943 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750606 [30] validation_0-merror:0.35 validation_0-mlogloss:0.74974 [31] validation_0-merror:0.35 validation_0-mlogloss:0.749606 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747126 [33] validation_0-merror:0.35 validation_0-mlogloss:0.746178 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743555 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742738 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.740988 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742496 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.74119 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.740039 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.741991 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.742247 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.741879 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.742146 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.742179 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.740039 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.986041 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.960856 [6] validation_0-merror:0.35 validation_0-mlogloss:0.946502 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.934973 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917415 [9] validation_0-merror:0.35 validation_0-mlogloss:0.901096 [10] validation_0-merror:0.35 validation_0-mlogloss:0.881324 [11] validation_0-merror:0.35 validation_0-mlogloss:0.864698 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.849485 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.836998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.827815 [15] validation_0-merror:0.35 validation_0-mlogloss:0.820748 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808445 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799403 [18] validation_0-merror:0.35 validation_0-mlogloss:0.79357 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.784624 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776597 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771664 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764109 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756378 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74847 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74434 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740935 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736456 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731696 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726364 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725897 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719262 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714428 [33] validation_0-merror:0.3 validation_0-mlogloss:0.710566 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707328 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702554 [36] validation_0-merror:0.3 validation_0-mlogloss:0.699539 [37] validation_0-merror:0.3 validation_0-mlogloss:0.69665 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693307 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690666 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68707 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684344 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680928 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679057 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67854 [45] validation_0-merror:0.3 validation_0-mlogloss:0.675919 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675627 [47] validation_0-merror:0.3 validation_0-mlogloss:0.674091 [48] validation_0-merror:0.3 validation_0-mlogloss:0.672017 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.670588 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.671364 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.674077 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.672595 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.671203 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.673823 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.670588 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05485 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0265 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.9992 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970148 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961227 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938107 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92276 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.906327 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884894 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866937 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852783 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838433 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826311 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81429 [14] validation_0-merror:0.3 validation_0-mlogloss:0.804166 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800159 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788104 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775835 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77234 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766859 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760664 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75399 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749005 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744399 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736318 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734816 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724387 [27] validation_0-merror:0.3 validation_0-mlogloss:0.718708 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712263 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709297 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.70407 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699669 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697398 [33] validation_0-merror:0.3 validation_0-mlogloss:0.695558 [34] validation_0-merror:0.3 validation_0-mlogloss:0.693691 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690242 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.687251 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687661 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691136 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.687484 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.690118 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.68949 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.687251 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04031 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984669 [4] validation_0-merror:0.4 validation_0-mlogloss:0.95625 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935819 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.915366 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898182 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878245 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861264 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845149 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833292 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826506 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815575 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811041 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802008 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.796878 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.789464 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785489 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777547 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.773624 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76721 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.76605 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762119 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.761068 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758783 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755954 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752698 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749521 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747164 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746626 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743082 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.741588 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.740792 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.743993 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.742178 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.740328 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742543 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.742628 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.742716 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.742103 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.737397 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.738033 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.736337 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.737573 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.734707 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.735083 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.73122 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.730096 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.730702 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.728016 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.732592 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.734735 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.736868 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.744182 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.741122 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.728016 [0] validation_0-merror:0.45 validation_0-mlogloss:1.07151 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04437 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00847 [3] validation_0-merror:0.35 validation_0-mlogloss:0.991187 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966359 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942626 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.925226 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908172 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.89016 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874807 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853887 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.839555 [12] validation_0-merror:0.25 validation_0-mlogloss:0.824671 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809157 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798304 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.793669 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78677 [17] validation_0-merror:0.3 validation_0-mlogloss:0.781853 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774461 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769694 [20] validation_0-merror:0.3 validation_0-mlogloss:0.766063 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.756351 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754461 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748644 [24] validation_0-merror:0.3 validation_0-mlogloss:0.748729 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744943 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739234 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.732867 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.727438 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.723112 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.7245 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718875 [32] validation_0-merror:0.35 validation_0-mlogloss:0.715071 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714471 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.710818 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.709338 [36] validation_0-merror:0.35 validation_0-mlogloss:0.704331 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.701496 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.699736 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.696605 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.691326 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.687444 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.689633 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686344 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.682082 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.678879 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.679617 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.680406 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.678512 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.680075 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.679003 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.677191 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672537 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.671005 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675508 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673946 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.675671 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.677191 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.675622 Stopping. Best iteration: [53] validation_0-merror:0.316667 validation_0-mlogloss:0.671005 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05462 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.02132 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99444 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958751 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932246 [6] validation_0-merror:0.3 validation_0-mlogloss:0.910637 [7] validation_0-merror:0.3 validation_0-mlogloss:0.892569 [8] validation_0-merror:0.3 validation_0-mlogloss:0.875461 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.858676 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844149 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829034 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817759 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.81005 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798314 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791965 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78098 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771478 [18] validation_0-merror:0.3 validation_0-mlogloss:0.7647 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759668 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750918 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746658 [22] validation_0-merror:0.3 validation_0-mlogloss:0.735159 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.729004 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719844 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.714215 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70755 [27] validation_0-merror:0.3 validation_0-mlogloss:0.705211 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.701757 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701015 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698706 [31] validation_0-merror:0.3 validation_0-mlogloss:0.695376 [32] validation_0-merror:0.3 validation_0-mlogloss:0.690558 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686502 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684423 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.680666 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.678144 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.677816 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.679454 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673671 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.673396 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.672404 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.672545 [43] validation_0-merror:0.3 validation_0-mlogloss:0.671079 [44] validation_0-merror:0.3 validation_0-mlogloss:0.668209 [45] validation_0-merror:0.3 validation_0-mlogloss:0.66774 [46] validation_0-merror:0.3 validation_0-mlogloss:0.666187 [47] validation_0-merror:0.3 validation_0-mlogloss:0.665087 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662603 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.664149 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.663642 [51] validation_0-merror:0.3 validation_0-mlogloss:0.665766 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.664029 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.667821 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662603 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06212 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03714 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00786 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980917 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.954327 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932207 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915898 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899902 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878861 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864879 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853592 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.844168 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836155 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828208 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.820106 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.80987 [16] validation_0-merror:0.4 validation_0-mlogloss:0.806651 [17] validation_0-merror:0.4 validation_0-mlogloss:0.80094 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793955 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.790485 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.780798 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774767 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770411 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766608 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767732 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763061 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756663 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756816 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.751859 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748827 [30] validation_0-merror:0.35 validation_0-mlogloss:0.74782 [31] validation_0-merror:0.35 validation_0-mlogloss:0.747634 [32] validation_0-merror:0.35 validation_0-mlogloss:0.745878 [33] validation_0-merror:0.35 validation_0-mlogloss:0.74774 [34] validation_0-merror:0.35 validation_0-mlogloss:0.74747 [35] validation_0-merror:0.35 validation_0-mlogloss:0.743482 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.744078 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744085 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.742124 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.7425 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.7412 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.742163 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.742237 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.743452 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.74145 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.743895 Stopping. Best iteration: [40] validation_0-merror:0.366667 validation_0-mlogloss:0.7412 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.04033 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00795 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.983324 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961241 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.945325 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.927513 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91379 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.898021 [9] validation_0-merror:0.35 validation_0-mlogloss:0.87927 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867064 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854769 [12] validation_0-merror:0.3 validation_0-mlogloss:0.841737 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.833762 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82192 [15] validation_0-merror:0.35 validation_0-mlogloss:0.815 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810284 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802232 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.793029 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785461 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781908 [21] validation_0-merror:0.35 validation_0-mlogloss:0.778682 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771738 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765625 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763353 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756079 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752213 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746821 [28] validation_0-merror:0.35 validation_0-mlogloss:0.740059 [29] validation_0-merror:0.35 validation_0-mlogloss:0.735471 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737812 [31] validation_0-merror:0.35 validation_0-mlogloss:0.733933 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726888 [33] validation_0-merror:0.35 validation_0-mlogloss:0.729424 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.722663 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.719893 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717025 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.712874 [38] validation_0-merror:0.35 validation_0-mlogloss:0.709811 [39] validation_0-merror:0.35 validation_0-mlogloss:0.709174 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.704553 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.704163 [42] validation_0-merror:0.35 validation_0-mlogloss:0.70355 [43] validation_0-merror:0.35 validation_0-mlogloss:0.705066 [44] validation_0-merror:0.35 validation_0-mlogloss:0.706445 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.702514 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.700677 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.699407 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.699874 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.70365 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.699602 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.700556 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.698155 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.699056 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.701031 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.699468 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.694697 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.691608 [58] validation_0-merror:0.333333 validation_0-mlogloss:0.691458 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.691159 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.690229 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.692014 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.694844 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.695658 [64] validation_0-merror:0.316667 validation_0-mlogloss:0.695988 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.693139 Stopping. Best iteration: [60] validation_0-merror:0.316667 validation_0-mlogloss:0.690229 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02915 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00026 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.977676 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952623 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925844 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910619 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.900814 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.885092 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870469 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857329 [11] validation_0-merror:0.3 validation_0-mlogloss:0.840931 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826811 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.813646 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.804833 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794746 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.785615 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.77556 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765013 [19] validation_0-merror:0.3 validation_0-mlogloss:0.757759 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.750751 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745012 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738578 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732727 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728856 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.722917 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719899 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714601 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713653 [29] validation_0-merror:0.3 validation_0-mlogloss:0.70957 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706446 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705322 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704324 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700988 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699795 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701238 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699277 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693021 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693789 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691768 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.693204 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.691052 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.690703 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.690839 [44] validation_0-merror:0.3 validation_0-mlogloss:0.689786 [45] validation_0-merror:0.3 validation_0-mlogloss:0.690356 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.68552 [47] validation_0-merror:0.3 validation_0-mlogloss:0.687478 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688595 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.685753 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.685029 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.685509 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.68114 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.681079 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.680926 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.678881 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.678523 [57] validation_0-merror:0.3 validation_0-mlogloss:0.676592 [58] validation_0-merror:0.3 validation_0-mlogloss:0.676569 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.677429 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.673937 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.672951 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.673239 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.674465 [64] validation_0-merror:0.3 validation_0-mlogloss:0.674744 [65] validation_0-merror:0.3 validation_0-mlogloss:0.676855 [66] validation_0-merror:0.3 validation_0-mlogloss:0.676149 Stopping. Best iteration: [61] validation_0-merror:0.283333 validation_0-mlogloss:0.672951 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06302 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03594 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01207 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.991244 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.96499 [5] validation_0-merror:0.35 validation_0-mlogloss:0.939397 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.923981 [7] validation_0-merror:0.35 validation_0-mlogloss:0.913567 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.898432 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.884327 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870839 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.855431 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.840748 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827581 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.819928 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809857 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800414 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794425 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788358 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781379 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777324 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77458 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768009 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765006 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761576 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.7584 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75502 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754114 [28] validation_0-merror:0.35 validation_0-mlogloss:0.750144 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747812 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.747236 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.748583 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.745855 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74488 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.741893 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739291 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742347 [37] validation_0-merror:0.35 validation_0-mlogloss:0.741918 [38] validation_0-merror:0.35 validation_0-mlogloss:0.741258 [39] validation_0-merror:0.35 validation_0-mlogloss:0.740367 [40] validation_0-merror:0.35 validation_0-mlogloss:0.740744 Stopping. Best iteration: [35] validation_0-merror:0.35 validation_0-mlogloss:0.739291 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.934464 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917267 [9] validation_0-merror:0.35 validation_0-mlogloss:0.899559 [10] validation_0-merror:0.35 validation_0-mlogloss:0.879882 [11] validation_0-merror:0.35 validation_0-mlogloss:0.863467 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.84838 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.835863 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.826701 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.821736 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809192 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799597 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792978 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783971 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775952 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770767 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765621 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758361 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749896 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746656 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.739393 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.733967 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728375 [29] validation_0-merror:0.3 validation_0-mlogloss:0.722925 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717585 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.717749 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712736 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70878 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70343 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699923 [36] validation_0-merror:0.3 validation_0-mlogloss:0.695967 [37] validation_0-merror:0.3 validation_0-mlogloss:0.692703 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68974 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687487 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684685 [41] validation_0-merror:0.3 validation_0-mlogloss:0.682269 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677409 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675353 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672482 [45] validation_0-merror:0.3 validation_0-mlogloss:0.669474 [46] validation_0-merror:0.3 validation_0-mlogloss:0.666203 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666504 [48] validation_0-merror:0.3 validation_0-mlogloss:0.666358 [49] validation_0-merror:0.3 validation_0-mlogloss:0.66462 [50] validation_0-merror:0.3 validation_0-mlogloss:0.663009 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664018 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662641 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660644 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.663033 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.665467 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.663932 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.662177 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.660614 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.660638 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.658162 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.659049 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.659897 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.661109 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.660457 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.660313 Stopping. Best iteration: [60] validation_0-merror:0.266667 validation_0-mlogloss:0.658162 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0228 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996423 [3] validation_0-merror:0.4 validation_0-mlogloss:0.961755 [4] validation_0-merror:0.4 validation_0-mlogloss:0.952762 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927651 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.906666 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892754 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875811 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857486 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845124 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834618 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819838 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809269 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802258 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802466 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.789129 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779399 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772907 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767219 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757697 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747651 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.740506 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732297 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723723 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723713 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.714544 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.710433 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706731 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700621 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.692721 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.690003 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.685902 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680029 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678994 [35] validation_0-merror:0.3 validation_0-mlogloss:0.676293 [36] validation_0-merror:0.3 validation_0-mlogloss:0.672834 [37] validation_0-merror:0.3 validation_0-mlogloss:0.665667 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667003 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662315 [40] validation_0-merror:0.3 validation_0-mlogloss:0.666123 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666755 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66512 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665964 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665591 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.662315 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06125 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03608 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997516 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971139 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935974 [5] validation_0-merror:0.35 validation_0-mlogloss:0.91452 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893281 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87614 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858531 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844742 [10] validation_0-merror:0.3 validation_0-mlogloss:0.828983 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818126 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813794 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805475 [14] validation_0-merror:0.35 validation_0-mlogloss:0.799016 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787264 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785607 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780802 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779438 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772345 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772657 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766427 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765758 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762053 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764132 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76236 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.758237 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754593 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.749106 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.746862 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744242 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744606 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.746534 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746519 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.75249 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.749054 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744242 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06148 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03724 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.995145 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972525 [4] validation_0-merror:0.3 validation_0-mlogloss:0.93675 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915449 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904349 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891631 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872309 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858044 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840009 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831777 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820725 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806014 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789916 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78277 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774842 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772281 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761691 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752965 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751233 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746187 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739238 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.731951 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729585 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724172 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715673 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709201 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.707047 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703684 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.701385 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701487 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700153 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702249 [34] validation_0-merror:0.3 validation_0-mlogloss:0.705034 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.710312 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70578 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.705919 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700153 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04814 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01061 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.978049 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950894 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.946552 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917281 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897222 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88402 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865496 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847333 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831295 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819717 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804687 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791028 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780956 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77655 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766518 [17] validation_0-merror:0.3 validation_0-mlogloss:0.759789 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753897 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748292 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739323 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73534 [22] validation_0-merror:0.3 validation_0-mlogloss:0.724293 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716656 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.706914 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.704502 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.696296 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.697435 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.691103 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.688105 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.683734 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.682251 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.67644 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.672224 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.66985 [35] validation_0-merror:0.25 validation_0-mlogloss:0.668523 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.666762 [37] validation_0-merror:0.3 validation_0-mlogloss:0.670938 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.675566 [39] validation_0-merror:0.3 validation_0-mlogloss:0.675524 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674655 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.673526 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.666762 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0331 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998156 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965342 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919113 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900868 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883544 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862576 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851491 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840822 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830954 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825231 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814249 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806979 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797059 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.797511 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791564 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786685 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783591 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778812 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776352 [22] validation_0-merror:0.35 validation_0-mlogloss:0.772051 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768402 [24] validation_0-merror:0.35 validation_0-mlogloss:0.77243 [25] validation_0-merror:0.35 validation_0-mlogloss:0.769988 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.769448 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769517 [28] validation_0-merror:0.35 validation_0-mlogloss:0.772544 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768402 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06056 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02475 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992311 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.975078 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951413 [5] validation_0-merror:0.35 validation_0-mlogloss:0.937644 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915001 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.905631 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.888091 [9] validation_0-merror:0.3 validation_0-mlogloss:0.871364 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.858953 [11] validation_0-merror:0.3 validation_0-mlogloss:0.849706 [12] validation_0-merror:0.3 validation_0-mlogloss:0.833796 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807856 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.801378 [16] validation_0-merror:0.3 validation_0-mlogloss:0.797423 [17] validation_0-merror:0.3 validation_0-mlogloss:0.791371 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78261 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.775672 [20] validation_0-merror:0.3 validation_0-mlogloss:0.774853 [21] validation_0-merror:0.3 validation_0-mlogloss:0.770779 [22] validation_0-merror:0.3 validation_0-mlogloss:0.764486 [23] validation_0-merror:0.3 validation_0-mlogloss:0.757669 [24] validation_0-merror:0.3 validation_0-mlogloss:0.753243 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751207 [26] validation_0-merror:0.3 validation_0-mlogloss:0.74451 [27] validation_0-merror:0.3 validation_0-mlogloss:0.742813 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737066 [29] validation_0-merror:0.3 validation_0-mlogloss:0.731726 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730082 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730022 [32] validation_0-merror:0.3 validation_0-mlogloss:0.726077 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.730722 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.729884 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.727777 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.726686 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.730249 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.726077 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05163 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01432 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984662 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.960439 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.926806 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.900013 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881448 [7] validation_0-merror:0.3 validation_0-mlogloss:0.870382 [8] validation_0-merror:0.3 validation_0-mlogloss:0.855608 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842017 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830508 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.813946 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.794214 [13] validation_0-merror:0.25 validation_0-mlogloss:0.778971 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.768374 [15] validation_0-merror:0.25 validation_0-mlogloss:0.760862 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.753073 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.746073 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.735683 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.727707 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.722142 [21] validation_0-merror:0.25 validation_0-mlogloss:0.717858 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.712264 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.708438 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.705232 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.699225 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.698713 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696518 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.691916 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.688117 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.686594 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.6799 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.674225 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.6692 [34] validation_0-merror:0.25 validation_0-mlogloss:0.668574 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.668551 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.668748 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.667175 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.662473 [39] validation_0-merror:0.25 validation_0-mlogloss:0.662779 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.661265 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.660384 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.658845 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.657855 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.657011 [45] validation_0-merror:0.216667 validation_0-mlogloss:0.657519 [46] validation_0-merror:0.216667 validation_0-mlogloss:0.65749 [47] validation_0-merror:0.216667 validation_0-mlogloss:0.657778 [48] validation_0-merror:0.216667 validation_0-mlogloss:0.654742 [49] validation_0-merror:0.216667 validation_0-mlogloss:0.650338 [50] validation_0-merror:0.233333 validation_0-mlogloss:0.649366 [51] validation_0-merror:0.233333 validation_0-mlogloss:0.647749 [52] validation_0-merror:0.233333 validation_0-mlogloss:0.647931 [53] validation_0-merror:0.233333 validation_0-mlogloss:0.648563 [54] validation_0-merror:0.233333 validation_0-mlogloss:0.649949 [55] validation_0-merror:0.233333 validation_0-mlogloss:0.653612 [56] validation_0-merror:0.233333 validation_0-mlogloss:0.652713 Stopping. Best iteration: [51] validation_0-merror:0.233333 validation_0-mlogloss:0.647749 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05782 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03276 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0046 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984098 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951283 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926874 [6] validation_0-merror:0.35 validation_0-mlogloss:0.913177 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903985 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890581 [9] validation_0-merror:0.3 validation_0-mlogloss:0.876928 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.864444 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.849406 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.833465 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.821284 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816137 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808719 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803229 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.798395 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.797739 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.789919 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788513 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.788143 [22] validation_0-merror:0.35 validation_0-mlogloss:0.786258 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.784235 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.784486 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.784999 [26] validation_0-merror:0.35 validation_0-mlogloss:0.788183 [27] validation_0-merror:0.35 validation_0-mlogloss:0.789375 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.789949 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.784235 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03171 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996379 [3] validation_0-merror:0.35 validation_0-mlogloss:0.97825 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949682 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927787 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.907368 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894918 [8] validation_0-merror:0.35 validation_0-mlogloss:0.875885 [9] validation_0-merror:0.35 validation_0-mlogloss:0.857406 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842478 [11] validation_0-merror:0.35 validation_0-mlogloss:0.828012 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805344 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788463 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783794 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770959 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.759614 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.751422 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.747145 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738818 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731008 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.72892 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72506 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716467 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710852 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.704968 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70718 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.699494 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.692434 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69078 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.690134 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695104 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694956 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.693523 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688581 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686991 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692112 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.700558 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.698167 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.698528 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.696273 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686991 [0] validation_0-merror:0.5 validation_0-mlogloss:1.05525 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02167 [2] validation_0-merror:0.45 validation_0-mlogloss:0.997608 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968718 [4] validation_0-merror:0.4 validation_0-mlogloss:0.958981 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936964 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.918603 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900297 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883987 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864932 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.855095 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844772 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.834315 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.825761 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817948 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815616 [16] validation_0-merror:0.3 validation_0-mlogloss:0.804167 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790072 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784657 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779359 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.769187 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759341 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752896 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748099 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.738407 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.737073 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.72888 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.726533 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.720015 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.711676 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703034 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.697894 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694134 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688693 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.687704 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683654 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681353 [37] validation_0-merror:0.3 validation_0-mlogloss:0.677689 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678732 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.678572 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.681507 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.680309 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673581 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.669314 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.668318 [45] validation_0-merror:0.3 validation_0-mlogloss:0.666508 [46] validation_0-merror:0.3 validation_0-mlogloss:0.664126 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.660501 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661043 [49] validation_0-merror:0.3 validation_0-mlogloss:0.663291 [50] validation_0-merror:0.3 validation_0-mlogloss:0.661691 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661184 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662305 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.660501 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03606 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.999395 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.972484 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937022 [5] validation_0-merror:0.3 validation_0-mlogloss:0.915644 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893936 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877036 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858174 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840642 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826081 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812944 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806329 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797467 [14] validation_0-merror:0.35 validation_0-mlogloss:0.789676 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777325 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774464 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772427 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.770456 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.767188 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768018 [21] validation_0-merror:0.35 validation_0-mlogloss:0.764452 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.761466 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.760072 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762062 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759803 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757895 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755836 [28] validation_0-merror:0.35 validation_0-mlogloss:0.758082 [29] validation_0-merror:0.35 validation_0-mlogloss:0.755851 [30] validation_0-merror:0.35 validation_0-mlogloss:0.756579 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75553 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.755566 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.755835 [34] validation_0-merror:0.35 validation_0-mlogloss:0.756701 [35] validation_0-merror:0.35 validation_0-mlogloss:0.762469 [36] validation_0-merror:0.35 validation_0-mlogloss:0.760537 Stopping. Best iteration: [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75553 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06041 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0329 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.993199 [3] validation_0-merror:0.3 validation_0-mlogloss:0.977954 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947171 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925857 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905847 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891306 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.873631 [9] validation_0-merror:0.35 validation_0-mlogloss:0.863464 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844152 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836972 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823566 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806557 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789807 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784443 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776002 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770889 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760301 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750965 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749624 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746181 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739967 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732435 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731988 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727818 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720741 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71649 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710672 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707042 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705045 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701773 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700021 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701191 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701742 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704446 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698026 [37] validation_0-merror:0.3 validation_0-mlogloss:0.696319 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693937 [39] validation_0-merror:0.3 validation_0-mlogloss:0.693642 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689208 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684443 [42] validation_0-merror:0.3 validation_0-mlogloss:0.68595 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683041 [44] validation_0-merror:0.3 validation_0-mlogloss:0.683948 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683758 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684906 [47] validation_0-merror:0.3 validation_0-mlogloss:0.686255 [48] validation_0-merror:0.3 validation_0-mlogloss:0.687882 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.683041 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0107 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978446 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949207 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944656 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914158 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89451 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878286 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.859882 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840889 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824842 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813145 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800388 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791268 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783323 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778307 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767781 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.758755 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754376 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.748663 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739754 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735114 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725294 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720241 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.712149 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.71045 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702754 [27] validation_0-merror:0.3 validation_0-mlogloss:0.701969 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696462 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694716 [30] validation_0-merror:0.3 validation_0-mlogloss:0.692241 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68792 [32] validation_0-merror:0.3 validation_0-mlogloss:0.681896 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679031 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676641 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.675144 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.67747 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.677823 [38] validation_0-merror:0.3 validation_0-mlogloss:0.682317 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678813 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675443 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.675144 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06373 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02944 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998548 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964142 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937087 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918153 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899622 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884653 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865549 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851497 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840524 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832304 [12] validation_0-merror:0.35 validation_0-mlogloss:0.824335 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.812297 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804871 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796915 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.797407 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792297 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788016 [19] validation_0-merror:0.35 validation_0-mlogloss:0.788072 [20] validation_0-merror:0.35 validation_0-mlogloss:0.784294 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783275 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776944 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770281 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770268 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767673 [26] validation_0-merror:0.35 validation_0-mlogloss:0.763187 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760811 [28] validation_0-merror:0.35 validation_0-mlogloss:0.76178 [29] validation_0-merror:0.35 validation_0-mlogloss:0.757803 [30] validation_0-merror:0.35 validation_0-mlogloss:0.757789 [31] validation_0-merror:0.35 validation_0-mlogloss:0.759681 [32] validation_0-merror:0.35 validation_0-mlogloss:0.758371 [33] validation_0-merror:0.35 validation_0-mlogloss:0.757811 [34] validation_0-merror:0.35 validation_0-mlogloss:0.757379 [35] validation_0-merror:0.35 validation_0-mlogloss:0.760081 [36] validation_0-merror:0.35 validation_0-mlogloss:0.763939 [37] validation_0-merror:0.35 validation_0-mlogloss:0.766872 [38] validation_0-merror:0.35 validation_0-mlogloss:0.768517 [39] validation_0-merror:0.35 validation_0-mlogloss:0.768401 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.757379 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06114 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02984 [2] validation_0-merror:0.3 validation_0-mlogloss:0.996872 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976271 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943386 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.926043 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.905812 [7] validation_0-merror:0.3 validation_0-mlogloss:0.893512 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.873938 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862173 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851923 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841062 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824346 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813477 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798217 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79254 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786988 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.780419 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.773075 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763521 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763206 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763396 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.758726 [23] validation_0-merror:0.3 validation_0-mlogloss:0.751248 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745815 [25] validation_0-merror:0.3 validation_0-mlogloss:0.742372 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737239 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73425 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.728432 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.723358 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.726175 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.726009 [32] validation_0-merror:0.3 validation_0-mlogloss:0.720894 [33] validation_0-merror:0.3 validation_0-mlogloss:0.725329 [34] validation_0-merror:0.3 validation_0-mlogloss:0.72232 [35] validation_0-merror:0.3 validation_0-mlogloss:0.724768 [36] validation_0-merror:0.3 validation_0-mlogloss:0.724515 [37] validation_0-merror:0.3 validation_0-mlogloss:0.720497 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717136 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717712 [40] validation_0-merror:0.3 validation_0-mlogloss:0.715435 [41] validation_0-merror:0.3 validation_0-mlogloss:0.713515 [42] validation_0-merror:0.3 validation_0-mlogloss:0.712384 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.712331 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.718303 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.718028 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.716917 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.714334 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.716025 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.712331 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05492 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02181 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988203 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962925 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931035 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903546 [6] validation_0-merror:0.3 validation_0-mlogloss:0.884967 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.872818 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85921 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846855 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836058 [11] validation_0-merror:0.3 validation_0-mlogloss:0.821868 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.801764 [13] validation_0-merror:0.3 validation_0-mlogloss:0.786205 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77536 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.768603 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.758148 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.748219 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.738895 [19] validation_0-merror:0.3 validation_0-mlogloss:0.729433 [20] validation_0-merror:0.3 validation_0-mlogloss:0.723246 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.718781 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.71343 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.710862 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.705994 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.699626 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.697679 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.693992 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.693051 [29] validation_0-merror:0.3 validation_0-mlogloss:0.688886 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685207 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.68144 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.67769 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67207 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.66952 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.669478 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670965 [37] validation_0-merror:0.3 validation_0-mlogloss:0.670951 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.672092 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.67263 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.674866 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.669478 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05642 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02998 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998679 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976339 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949458 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925615 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909807 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.899809 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.886009 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.875326 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861459 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841638 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826877 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815813 [14] validation_0-merror:0.35 validation_0-mlogloss:0.808596 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799075 [16] validation_0-merror:0.35 validation_0-mlogloss:0.789008 [17] validation_0-merror:0.35 validation_0-mlogloss:0.784646 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781209 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776013 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774028 [21] validation_0-merror:0.35 validation_0-mlogloss:0.772386 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770365 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768714 [24] validation_0-merror:0.35 validation_0-mlogloss:0.767491 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763155 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765831 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762642 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.765202 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.765901 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.769301 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.770759 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.770112 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762642 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06206 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03243 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00017 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982732 [4] validation_0-merror:0.35 validation_0-mlogloss:0.958022 [5] validation_0-merror:0.35 validation_0-mlogloss:0.930934 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912244 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.895892 [8] validation_0-merror:0.35 validation_0-mlogloss:0.875689 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858016 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841057 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824566 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804052 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791816 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786342 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77611 [16] validation_0-merror:0.3 validation_0-mlogloss:0.764137 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754545 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749565 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741736 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73525 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731592 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72571 [23] validation_0-merror:0.3 validation_0-mlogloss:0.717627 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710368 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705949 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70395 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698275 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.69263 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689263 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691505 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.691341 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.686927 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.685914 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.681941 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679034 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681543 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6848 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.682751 [39] validation_0-merror:0.3 validation_0-mlogloss:0.681326 [40] validation_0-merror:0.3 validation_0-mlogloss:0.676735 [41] validation_0-merror:0.3 validation_0-mlogloss:0.67544 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672773 [43] validation_0-merror:0.3 validation_0-mlogloss:0.671773 [44] validation_0-merror:0.3 validation_0-mlogloss:0.670687 [45] validation_0-merror:0.3 validation_0-mlogloss:0.672565 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.676768 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.675167 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.676893 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.67858 Stopping. Best iteration: [44] validation_0-merror:0.3 validation_0-mlogloss:0.670687 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0295 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00252 [3] validation_0-merror:0.4 validation_0-mlogloss:0.974605 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.964439 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940136 [6] validation_0-merror:0.35 validation_0-mlogloss:0.922982 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.906156 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890991 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.871894 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.86111 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.849452 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836399 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.826509 [14] validation_0-merror:0.35 validation_0-mlogloss:0.819682 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816674 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803515 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.790377 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786161 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781616 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76996 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761358 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755646 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747103 [24] validation_0-merror:0.35 validation_0-mlogloss:0.738844 [25] validation_0-merror:0.35 validation_0-mlogloss:0.737022 [26] validation_0-merror:0.35 validation_0-mlogloss:0.72851 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.721506 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715802 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.711325 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706001 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.70155 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699827 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696659 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.695493 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69122 [36] validation_0-merror:0.3 validation_0-mlogloss:0.693231 [37] validation_0-merror:0.3 validation_0-mlogloss:0.690574 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690891 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686817 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.687262 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.687523 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.685604 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681545 [44] validation_0-merror:0.3 validation_0-mlogloss:0.681148 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.681515 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.679662 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677785 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.674196 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677346 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.6734 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.676294 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.677536 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.680257 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.678668 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.67797 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.6734 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03362 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996821 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972866 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939923 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918852 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898797 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881809 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.861089 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843308 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82685 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811853 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804745 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794655 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.786633 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77641 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.770166 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.767008 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.765034 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.761878 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.757411 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753044 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75082 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.748968 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75063 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.750374 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748001 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.744274 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.744103 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742834 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74301 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.741063 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.738072 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.736452 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.740906 [35] validation_0-merror:0.35 validation_0-mlogloss:0.746239 [36] validation_0-merror:0.35 validation_0-mlogloss:0.739995 [37] validation_0-merror:0.35 validation_0-mlogloss:0.743614 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.744147 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.736452 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06833 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04044 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00208 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.979871 [4] validation_0-merror:0.3 validation_0-mlogloss:0.951694 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.928133 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910412 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.896527 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878679 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863946 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845063 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836408 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823951 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808926 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796301 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792413 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786355 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.781477 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.774421 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765203 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760152 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75392 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749579 [23] validation_0-merror:0.3 validation_0-mlogloss:0.741965 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738308 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7344 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728554 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720648 [28] validation_0-merror:0.3 validation_0-mlogloss:0.717591 [29] validation_0-merror:0.3 validation_0-mlogloss:0.713883 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710155 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706465 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703603 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70396 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704069 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706616 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702115 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701414 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699174 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699265 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694027 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691271 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.693009 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688756 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688196 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.68807 [46] validation_0-merror:0.3 validation_0-mlogloss:0.68658 [47] validation_0-merror:0.3 validation_0-mlogloss:0.68714 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.689889 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.69005 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690144 [51] validation_0-merror:0.3 validation_0-mlogloss:0.690772 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.68658 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01377 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985289 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95639 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.948466 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917378 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896635 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880066 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861117 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843731 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830821 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818237 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80319 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791147 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781764 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777257 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765186 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754058 [18] validation_0-merror:0.3 validation_0-mlogloss:0.748078 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743994 [20] validation_0-merror:0.3 validation_0-mlogloss:0.733202 [21] validation_0-merror:0.3 validation_0-mlogloss:0.72801 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.719556 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.713007 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.703086 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.700704 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.694324 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.694256 [28] validation_0-merror:0.3 validation_0-mlogloss:0.688541 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.68768 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.684585 [31] validation_0-merror:0.3 validation_0-mlogloss:0.676811 [32] validation_0-merror:0.3 validation_0-mlogloss:0.671988 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.670793 [34] validation_0-merror:0.3 validation_0-mlogloss:0.667246 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.66343 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.66234 [37] validation_0-merror:0.3 validation_0-mlogloss:0.663191 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665512 [39] validation_0-merror:0.3 validation_0-mlogloss:0.661883 [40] validation_0-merror:0.3 validation_0-mlogloss:0.659631 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65253 [42] validation_0-merror:0.3 validation_0-mlogloss:0.649346 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.646742 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.644374 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.642172 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.641997 [47] validation_0-merror:0.25 validation_0-mlogloss:0.640403 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.638315 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.641166 [50] validation_0-merror:0.25 validation_0-mlogloss:0.642689 [51] validation_0-merror:0.25 validation_0-mlogloss:0.643987 [52] validation_0-merror:0.25 validation_0-mlogloss:0.643646 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.648141 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.638315 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0642 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03367 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00103 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971131 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942091 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921086 [6] validation_0-merror:0.35 validation_0-mlogloss:0.904817 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889239 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86601 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.852375 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842226 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.8319 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821585 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813318 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809854 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800974 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.798211 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.794025 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791176 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790517 [20] validation_0-merror:0.35 validation_0-mlogloss:0.786677 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783446 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777809 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772812 [24] validation_0-merror:0.35 validation_0-mlogloss:0.774089 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772188 [26] validation_0-merror:0.35 validation_0-mlogloss:0.76954 [27] validation_0-merror:0.35 validation_0-mlogloss:0.768797 [28] validation_0-merror:0.35 validation_0-mlogloss:0.772699 [29] validation_0-merror:0.35 validation_0-mlogloss:0.768911 [30] validation_0-merror:0.35 validation_0-mlogloss:0.769962 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772864 [32] validation_0-merror:0.35 validation_0-mlogloss:0.772541 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.768797 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06234 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03504 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00358 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975361 [4] validation_0-merror:0.3 validation_0-mlogloss:0.943251 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.922019 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.90334 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.888066 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.869399 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.856184 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843973 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.83138 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816708 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803885 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790354 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.783952 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.781005 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.776336 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769127 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761621 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.76025 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759039 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.754902 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.747365 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.739496 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.735415 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.733421 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.728757 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.724711 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.71837 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719273 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.718442 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713635 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.71758 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.714836 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.715297 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.715085 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.71524 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713635 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02068 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990316 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962893 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934558 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908083 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889604 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87822 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862808 [9] validation_0-merror:0.3 validation_0-mlogloss:0.849327 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83825 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.81905 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.801598 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.78818 [14] validation_0-merror:0.3 validation_0-mlogloss:0.777528 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768848 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.762167 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.752178 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.744256 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.736569 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.731168 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.727341 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.720699 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.718988 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.715686 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.708347 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.699667 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696321 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.694446 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.688662 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.686015 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.682231 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.678012 [33] validation_0-merror:0.25 validation_0-mlogloss:0.674814 [34] validation_0-merror:0.25 validation_0-mlogloss:0.672282 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.674691 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.673838 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.674503 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.674436 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.673353 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.672282 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05515 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994623 [3] validation_0-merror:0.35 validation_0-mlogloss:0.972738 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941632 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918585 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901424 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890574 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87883 [9] validation_0-merror:0.35 validation_0-mlogloss:0.867955 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85722 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.845221 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831674 [13] validation_0-merror:0.35 validation_0-mlogloss:0.819409 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.813009 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809143 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.801777 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797059 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791274 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786597 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.782856 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.780493 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.777016 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.77426 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.77317 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.771644 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.77213 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772307 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.772094 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.773254 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.775066 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.771644 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06738 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03806 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00414 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.986314 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.964833 [5] validation_0-merror:0.4 validation_0-mlogloss:0.942975 [6] validation_0-merror:0.35 validation_0-mlogloss:0.923438 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.90778 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889108 [9] validation_0-merror:0.35 validation_0-mlogloss:0.873773 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855704 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.840137 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819892 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808619 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800883 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788833 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774891 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764516 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758261 [19] validation_0-merror:0.3 validation_0-mlogloss:0.74834 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742871 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.740266 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734809 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728302 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.719981 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.716946 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.713752 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.709747 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704272 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70241 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.702044 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702084 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697996 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.695772 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.691383 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688668 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69157 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695243 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69225 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693304 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691165 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688668 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02989 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998893 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972205 [4] validation_0-merror:0.35 validation_0-mlogloss:0.963254 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936243 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.917789 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.898758 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882925 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.866285 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853653 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837636 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825462 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814062 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80789 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806599 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.795855 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.784481 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779888 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773889 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763145 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756028 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748967 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744974 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734402 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734077 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728221 [27] validation_0-merror:0.3 validation_0-mlogloss:0.725281 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719295 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715307 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709686 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707078 [32] validation_0-merror:0.3 validation_0-mlogloss:0.707313 [33] validation_0-merror:0.3 validation_0-mlogloss:0.7064 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706943 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703713 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703214 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699142 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697564 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.695756 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.69814 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.69897 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.697109 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694922 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.692254 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689807 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.691252 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.689075 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.688533 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.691526 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689665 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.692274 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.69338 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.695539 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.688533 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.04322 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00721 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980692 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94657 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926128 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906376 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.887877 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868857 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.852363 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836625 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827041 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820206 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811547 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.805097 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.796855 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790844 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.783227 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779779 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77364 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767041 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760249 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.758793 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755765 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.755266 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.752319 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751309 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.747703 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.744863 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742575 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.745138 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74253 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74025 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739725 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.743227 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.743737 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.739072 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744151 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.744531 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.741784 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.738011 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.735232 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.734903 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.735568 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.73762 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.736791 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.737619 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.737355 Stopping. Best iteration: [42] validation_0-merror:0.366667 validation_0-mlogloss:0.734903 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.07022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04127 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00259 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981399 [4] validation_0-merror:0.35 validation_0-mlogloss:0.95595 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934292 [6] validation_0-merror:0.3 validation_0-mlogloss:0.912267 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.898051 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88187 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.868436 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84722 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835843 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823276 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809231 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.797412 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796145 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.790603 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.784098 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77154 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767021 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759417 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750617 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.7476 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737246 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.735902 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732245 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.726437 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719498 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718353 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.714304 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.709671 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704122 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.703241 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.703566 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700753 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.702191 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697035 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.697209 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694975 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691144 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685215 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.682795 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.683913 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.679509 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.678234 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.674928 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.675986 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.676579 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.680698 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.681942 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.679092 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.674928 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01092 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987883 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.9531 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922208 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900456 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882093 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848507 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834125 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820033 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807069 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797561 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788972 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785667 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776366 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765723 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759499 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754212 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743266 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737875 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.726416 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721457 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.713103 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.711892 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.706396 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.704798 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699777 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696694 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694118 [31] validation_0-merror:0.3 validation_0-mlogloss:0.687182 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683064 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680427 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678764 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.672411 [36] validation_0-merror:0.3 validation_0-mlogloss:0.670761 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669217 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672356 [39] validation_0-merror:0.3 validation_0-mlogloss:0.66799 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669098 [41] validation_0-merror:0.3 validation_0-mlogloss:0.663644 [42] validation_0-merror:0.3 validation_0-mlogloss:0.664965 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.662437 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660808 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.659 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.657415 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654998 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.651782 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.653068 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653711 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.65437 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.652562 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.656165 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.651782 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06326 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03148 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00087 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.969562 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93964 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921067 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.905824 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887544 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865033 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.850839 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840766 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831961 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823357 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815654 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.812842 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805177 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.803171 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.797712 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791604 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.791438 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784462 [21] validation_0-merror:0.4 validation_0-mlogloss:0.780914 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774083 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770216 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.772061 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.76939 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765393 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762796 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.765045 [29] validation_0-merror:0.35 validation_0-mlogloss:0.76237 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762071 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.767279 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.767133 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.766673 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.766034 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.766895 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762071 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03727 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00369 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975497 [4] validation_0-merror:0.3 validation_0-mlogloss:0.946432 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924618 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.906499 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.891636 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.87184 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857739 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.844649 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.834378 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.820322 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.80768 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798401 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792578 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788446 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.781811 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.774099 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.76543 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.763413 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.761938 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.755548 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.746706 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.743229 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.737684 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737911 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.733891 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.732303 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.726918 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.72659 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.724437 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.716922 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.719698 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.715512 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.717762 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.717054 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.714857 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.712992 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.713141 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.712086 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.712248 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.712957 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.715214 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.718214 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.715522 Stopping. Best iteration: [40] validation_0-merror:0.266667 validation_0-mlogloss:0.712086 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0237 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992481 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966207 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938492 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913205 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895522 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.885175 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.869746 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855797 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841901 [11] validation_0-merror:0.3 validation_0-mlogloss:0.827422 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.806649 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.792638 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.784037 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.776456 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769396 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763426 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752911 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743361 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735439 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731491 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726233 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721539 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715899 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711218 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710528 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.706268 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.705578 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.700078 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698376 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694214 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688592 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686698 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.684535 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686109 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.685276 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.68571 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.686611 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682665 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685175 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.68403 [42] validation_0-merror:0.3 validation_0-mlogloss:0.683938 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684277 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684376 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682665 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0566 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0272 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999251 [3] validation_0-merror:0.4 validation_0-mlogloss:0.978443 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.947306 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925344 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.911072 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901662 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.894187 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.883289 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870527 [11] validation_0-merror:0.4 validation_0-mlogloss:0.860667 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846179 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.835019 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.828005 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.821948 [16] validation_0-merror:0.35 validation_0-mlogloss:0.81292 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.807432 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.803931 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.800964 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.799685 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.797368 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.79313 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.787838 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.786059 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.782674 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.78301 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.782644 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.782534 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.781706 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.782753 [31] validation_0-merror:0.4 validation_0-mlogloss:0.784468 [32] validation_0-merror:0.4 validation_0-mlogloss:0.784275 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.786942 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.786798 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.781706 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06369 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03205 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00043 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981008 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957287 [5] validation_0-merror:0.35 validation_0-mlogloss:0.930886 [6] validation_0-merror:0.35 validation_0-mlogloss:0.914927 [7] validation_0-merror:0.35 validation_0-mlogloss:0.902812 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884739 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.871163 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.852796 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.835901 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818552 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807249 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799322 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789028 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.775768 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.764841 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.759311 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.749399 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745764 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.742958 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.734947 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.725535 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.716337 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.709039 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.706163 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.703958 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.695973 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.695635 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697093 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.700335 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.697951 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.696312 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.690943 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.688769 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.68987 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.692421 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.689664 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688634 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.68698 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.686214 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.686086 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.687605 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.690148 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.686947 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.68881 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.689632 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.686086 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91934 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.901949 [8] validation_0-merror:0.35 validation_0-mlogloss:0.884681 [9] validation_0-merror:0.35 validation_0-mlogloss:0.863714 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849352 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833769 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.820668 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80755 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797713 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795514 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782982 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771612 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768504 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763721 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753045 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745823 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742335 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73751 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726592 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.726742 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.719852 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.7174 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711217 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.709538 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702317 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.700886 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.698686 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698161 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693917 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694171 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692936 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695082 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.69433 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.696863 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.697474 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697363 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692936 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06457 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04173 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00733 [3] validation_0-merror:0.35 validation_0-mlogloss:0.98166 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947489 [5] validation_0-merror:0.4 validation_0-mlogloss:0.929201 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911095 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894554 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877953 [9] validation_0-merror:0.4 validation_0-mlogloss:0.862431 [10] validation_0-merror:0.4 validation_0-mlogloss:0.845043 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833365 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.826923 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817986 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811658 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80397 [16] validation_0-merror:0.4 validation_0-mlogloss:0.798754 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788959 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783437 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775331 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772498 [21] validation_0-merror:0.4 validation_0-mlogloss:0.767896 [22] validation_0-merror:0.4 validation_0-mlogloss:0.766339 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764006 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762623 [25] validation_0-merror:0.4 validation_0-mlogloss:0.760678 [26] validation_0-merror:0.4 validation_0-mlogloss:0.759464 [27] validation_0-merror:0.4 validation_0-mlogloss:0.757083 [28] validation_0-merror:0.4 validation_0-mlogloss:0.753841 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.752895 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.752866 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74976 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74878 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.749212 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.751475 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.748841 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.746407 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.745701 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.74605 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.745976 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.743813 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740602 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740706 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.740636 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.73936 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.736908 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.737745 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.73402 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.734953 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.734937 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.730774 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.732167 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.730311 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.731145 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.736927 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.73625 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.734949 Stopping. Best iteration: [52] validation_0-merror:0.383333 validation_0-mlogloss:0.730311 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0657 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03649 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997903 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954021 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928689 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912406 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898859 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880971 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868459 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849276 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836091 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824579 [13] validation_0-merror:0.3 validation_0-mlogloss:0.8104 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799276 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797463 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792392 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.787166 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779901 [19] validation_0-merror:0.3 validation_0-mlogloss:0.775901 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.769736 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764621 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764083 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757556 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.754749 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750111 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742197 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740711 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.736144 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.73252 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.729124 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.72818 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727565 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72556 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.723896 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.718151 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.718954 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.715486 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.713489 [40] validation_0-merror:0.3 validation_0-mlogloss:0.707091 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.705091 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.706194 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702077 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698018 [45] validation_0-merror:0.3 validation_0-mlogloss:0.693377 [46] validation_0-merror:0.3 validation_0-mlogloss:0.693885 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.694639 [48] validation_0-merror:0.3 validation_0-mlogloss:0.692909 [49] validation_0-merror:0.3 validation_0-mlogloss:0.694311 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690506 [51] validation_0-merror:0.3 validation_0-mlogloss:0.688811 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684899 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.686236 [54] validation_0-merror:0.3 validation_0-mlogloss:0.690761 [55] validation_0-merror:0.3 validation_0-mlogloss:0.689355 [56] validation_0-merror:0.3 validation_0-mlogloss:0.689763 [57] validation_0-merror:0.3 validation_0-mlogloss:0.687914 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684899 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01294 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9861 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957684 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951177 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924554 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906688 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887225 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.869968 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849382 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835382 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822132 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808042 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797465 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789159 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784503 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77453 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.763234 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758702 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753415 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744775 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740881 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729606 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721789 [24] validation_0-merror:0.3 validation_0-mlogloss:0.712731 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710168 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704337 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704907 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70229 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.696824 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691653 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688386 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686438 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684222 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67785 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676672 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672436 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674473 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672415 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674432 [41] validation_0-merror:0.3 validation_0-mlogloss:0.67034 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670262 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669409 [44] validation_0-merror:0.3 validation_0-mlogloss:0.667518 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664751 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664377 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.663816 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662062 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659084 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.659733 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.661655 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660974 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.662287 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664138 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659084 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06353 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02989 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.998805 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96932 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941237 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923203 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907653 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891517 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.870373 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854097 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.841414 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830489 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824906 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815244 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810019 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799568 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79647 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790819 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785537 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781604 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777249 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771176 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766319 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764586 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76612 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763898 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.759469 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755066 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75332 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749161 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750849 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751552 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.751457 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752548 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752283 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749161 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03873 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00892 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.981404 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.960432 [5] validation_0-merror:0.3 validation_0-mlogloss:0.937604 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.91775 [7] validation_0-merror:0.35 validation_0-mlogloss:0.904703 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.887132 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.869258 [10] validation_0-merror:0.3 validation_0-mlogloss:0.856381 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84438 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831714 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820275 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810733 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804576 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799516 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.792133 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786111 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.776494 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773951 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771073 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765285 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758916 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759159 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752324 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750225 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744008 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741241 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737714 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733177 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728269 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730015 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725984 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726855 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726047 [37] validation_0-merror:0.3 validation_0-mlogloss:0.725507 [38] validation_0-merror:0.3 validation_0-mlogloss:0.723938 [39] validation_0-merror:0.3 validation_0-mlogloss:0.725382 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719969 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718334 [42] validation_0-merror:0.3 validation_0-mlogloss:0.718605 [43] validation_0-merror:0.3 validation_0-mlogloss:0.718168 [44] validation_0-merror:0.3 validation_0-mlogloss:0.719615 [45] validation_0-merror:0.3 validation_0-mlogloss:0.716693 [46] validation_0-merror:0.3 validation_0-mlogloss:0.711875 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711324 [48] validation_0-merror:0.3 validation_0-mlogloss:0.71098 [49] validation_0-merror:0.3 validation_0-mlogloss:0.714851 [50] validation_0-merror:0.3 validation_0-mlogloss:0.709647 [51] validation_0-merror:0.3 validation_0-mlogloss:0.711173 [52] validation_0-merror:0.3 validation_0-mlogloss:0.709291 [53] validation_0-merror:0.3 validation_0-mlogloss:0.708602 [54] validation_0-merror:0.3 validation_0-mlogloss:0.712462 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.711687 [56] validation_0-merror:0.3 validation_0-mlogloss:0.709523 [57] validation_0-merror:0.3 validation_0-mlogloss:0.707712 [58] validation_0-merror:0.3 validation_0-mlogloss:0.707865 [59] validation_0-merror:0.3 validation_0-mlogloss:0.708799 [60] validation_0-merror:0.3 validation_0-mlogloss:0.712394 [61] validation_0-merror:0.3 validation_0-mlogloss:0.716426 [62] validation_0-merror:0.3 validation_0-mlogloss:0.720349 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.707712 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.991636 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965611 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937777 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912257 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893884 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882253 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867035 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.853554 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.840542 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.822082 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800774 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.786515 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.778145 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.769028 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760825 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.751812 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.742446 [19] validation_0-merror:0.3 validation_0-mlogloss:0.732482 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.728316 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.724983 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.716649 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.712602 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.706151 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.698254 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.697542 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.690624 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.688727 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.683711 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.680732 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.677337 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.674962 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67332 [34] validation_0-merror:0.3 validation_0-mlogloss:0.671223 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.671847 [36] validation_0-merror:0.3 validation_0-mlogloss:0.669623 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668249 [38] validation_0-merror:0.3 validation_0-mlogloss:0.668384 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.668699 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671942 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671401 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670955 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.668249 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03112 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999648 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.982443 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.952492 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.930556 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.916327 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.907143 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.89808 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.885763 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.873284 [11] validation_0-merror:0.4 validation_0-mlogloss:0.862668 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.84897 [13] validation_0-merror:0.4 validation_0-mlogloss:0.837893 [14] validation_0-merror:0.4 validation_0-mlogloss:0.829819 [15] validation_0-merror:0.4 validation_0-mlogloss:0.82214 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.813895 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.809431 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.80304 [19] validation_0-merror:0.4 validation_0-mlogloss:0.799077 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.795296 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.792948 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.789082 [23] validation_0-merror:0.4 validation_0-mlogloss:0.785787 [24] validation_0-merror:0.4 validation_0-mlogloss:0.78418 [25] validation_0-merror:0.4 validation_0-mlogloss:0.781435 [26] validation_0-merror:0.4 validation_0-mlogloss:0.7825 [27] validation_0-merror:0.4 validation_0-mlogloss:0.781726 [28] validation_0-merror:0.4 validation_0-mlogloss:0.780151 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.778996 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.782332 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.780912 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.780872 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.780283 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.780225 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.778996 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06524 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03249 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00174 [3] validation_0-merror:0.4 validation_0-mlogloss:0.982423 [4] validation_0-merror:0.35 validation_0-mlogloss:0.957691 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928304 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.912058 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901017 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879379 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864087 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845715 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828582 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80847 [13] validation_0-merror:0.3 validation_0-mlogloss:0.796463 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788571 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780882 [16] validation_0-merror:0.3 validation_0-mlogloss:0.767826 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758422 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752223 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743495 [20] validation_0-merror:0.3 validation_0-mlogloss:0.736142 [21] validation_0-merror:0.3 validation_0-mlogloss:0.730883 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723689 [23] validation_0-merror:0.3 validation_0-mlogloss:0.715896 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71186 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.70671 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.704139 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.699624 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.695619 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694718 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695336 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.697749 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.695738 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.694437 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693188 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691495 [36] validation_0-merror:0.3 validation_0-mlogloss:0.688824 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.689856 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688605 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684288 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.68479 [41] validation_0-merror:0.3 validation_0-mlogloss:0.682364 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680684 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680413 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679964 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679715 [46] validation_0-merror:0.3 validation_0-mlogloss:0.679426 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678538 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678145 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677969 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678489 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679573 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.677828 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.679147 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.679869 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.677863 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.67703 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.678641 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.679437 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.678457 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.679124 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.680645 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.67703 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05704 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02052 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99219 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95779 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951405 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925928 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907265 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.893701 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877605 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.855343 [10] validation_0-merror:0.35 validation_0-mlogloss:0.844329 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830033 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819245 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808959 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804073 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804933 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.789548 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.780333 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773587 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766642 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757466 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747791 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739424 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.731754 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728275 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727022 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716697 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713689 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708466 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701983 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695226 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691042 [32] validation_0-merror:0.3 validation_0-mlogloss:0.68866 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687455 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686593 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683125 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.679494 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.671863 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.672381 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.668274 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.673748 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.676093 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.672541 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673532 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672214 Stopping. Best iteration: [39] validation_0-merror:0.283333 validation_0-mlogloss:0.668274 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03479 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998026 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971575 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935587 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912697 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891115 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876024 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857338 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840527 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.8279 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819219 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816658 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806876 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801319 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787749 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.78369 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779134 [18] validation_0-merror:0.35 validation_0-mlogloss:0.777411 [19] validation_0-merror:0.35 validation_0-mlogloss:0.773046 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772637 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767177 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.766875 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763109 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76143 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.762017 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759609 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757093 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75169 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751114 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751006 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750608 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748105 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.751537 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.757097 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.756003 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.755221 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.758657 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748105 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03642 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994184 [3] validation_0-merror:0.3 validation_0-mlogloss:0.971208 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938499 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916134 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903411 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891693 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876567 [9] validation_0-merror:0.35 validation_0-mlogloss:0.862865 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847749 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838205 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825999 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814716 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797553 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789294 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780168 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772624 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76385 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761705 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763602 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763472 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760411 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751649 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751948 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.749732 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741103 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739176 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.735158 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732655 [30] validation_0-merror:0.3 validation_0-mlogloss:0.732411 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.734298 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736305 [33] validation_0-merror:0.35 validation_0-mlogloss:0.73932 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744143 [35] validation_0-merror:0.35 validation_0-mlogloss:0.749819 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.732411 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00903 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.97645 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948997 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945651 [5] validation_0-merror:0.3 validation_0-mlogloss:0.916388 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895503 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883648 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865941 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849742 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83316 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823914 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809947 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799567 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789495 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78499 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776409 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768852 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764289 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758961 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749688 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743481 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73162 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721948 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71524 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716597 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.710642 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.711237 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704256 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703504 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.696849 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.693391 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.689273 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687187 [34] validation_0-merror:0.25 validation_0-mlogloss:0.685902 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683678 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.683743 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.686391 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.688086 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.690706 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.689461 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683678 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03347 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00079 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.972097 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944186 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924959 [6] validation_0-merror:0.3 validation_0-mlogloss:0.904774 [7] validation_0-merror:0.3 validation_0-mlogloss:0.887732 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862235 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851099 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838199 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832161 [12] validation_0-merror:0.35 validation_0-mlogloss:0.82352 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814637 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809216 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800107 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79958 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.796774 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792502 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790699 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.787153 [21] validation_0-merror:0.35 validation_0-mlogloss:0.785105 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779446 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776103 [24] validation_0-merror:0.35 validation_0-mlogloss:0.780698 [25] validation_0-merror:0.35 validation_0-mlogloss:0.77987 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777198 [27] validation_0-merror:0.35 validation_0-mlogloss:0.777623 [28] validation_0-merror:0.35 validation_0-mlogloss:0.781239 Stopping. Best iteration: [23] validation_0-merror:0.35 validation_0-mlogloss:0.776103 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0298 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00022 [3] validation_0-merror:0.4 validation_0-mlogloss:0.98008 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.954497 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93991 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.929236 [7] validation_0-merror:0.35 validation_0-mlogloss:0.919449 [8] validation_0-merror:0.35 validation_0-mlogloss:0.897711 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.885645 [10] validation_0-merror:0.35 validation_0-mlogloss:0.870794 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.857611 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.844366 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.835975 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819193 [15] validation_0-merror:0.3 validation_0-mlogloss:0.8158 [16] validation_0-merror:0.3 validation_0-mlogloss:0.814244 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.809344 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.800271 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.7956 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.796868 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.792441 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.792562 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.785547 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781955 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.783523 [26] validation_0-merror:0.35 validation_0-mlogloss:0.780308 [27] validation_0-merror:0.35 validation_0-mlogloss:0.778583 [28] validation_0-merror:0.35 validation_0-mlogloss:0.774618 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770289 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.76932 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.770539 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.768705 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767618 [34] validation_0-merror:0.3 validation_0-mlogloss:0.767211 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.769798 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.774737 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.772761 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.775913 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.776097 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.767211 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05236 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01856 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988821 [3] validation_0-merror:0.3 validation_0-mlogloss:0.963571 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927903 [5] validation_0-merror:0.3 validation_0-mlogloss:0.902866 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886872 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874359 [8] validation_0-merror:0.3 validation_0-mlogloss:0.85832 [9] validation_0-merror:0.3 validation_0-mlogloss:0.843942 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833492 [11] validation_0-merror:0.3 validation_0-mlogloss:0.819133 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.798625 [13] validation_0-merror:0.25 validation_0-mlogloss:0.778452 [14] validation_0-merror:0.25 validation_0-mlogloss:0.769669 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.759109 [16] validation_0-merror:0.25 validation_0-mlogloss:0.750484 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.747359 [18] validation_0-merror:0.25 validation_0-mlogloss:0.737905 [19] validation_0-merror:0.25 validation_0-mlogloss:0.727582 [20] validation_0-merror:0.25 validation_0-mlogloss:0.722659 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.717883 [22] validation_0-merror:0.25 validation_0-mlogloss:0.715234 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.708988 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.70493 [25] validation_0-merror:0.25 validation_0-mlogloss:0.697823 [26] validation_0-merror:0.25 validation_0-mlogloss:0.694923 [27] validation_0-merror:0.25 validation_0-mlogloss:0.690113 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.69164 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.685887 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.683079 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.680846 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.676868 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.678078 [34] validation_0-merror:0.25 validation_0-mlogloss:0.677089 [35] validation_0-merror:0.25 validation_0-mlogloss:0.678106 [36] validation_0-merror:0.25 validation_0-mlogloss:0.67884 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.678425 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.676868 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05717 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03168 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00452 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.986111 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.956849 [5] validation_0-merror:0.35 validation_0-mlogloss:0.932533 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.918373 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.91175 [8] validation_0-merror:0.35 validation_0-mlogloss:0.897243 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.885747 [10] validation_0-merror:0.35 validation_0-mlogloss:0.871235 [11] validation_0-merror:0.35 validation_0-mlogloss:0.856848 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.841317 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.82831 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.820942 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816597 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.807438 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.801755 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.801123 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.792754 [20] validation_0-merror:0.3 validation_0-mlogloss:0.79345 [21] validation_0-merror:0.3 validation_0-mlogloss:0.791463 [22] validation_0-merror:0.35 validation_0-mlogloss:0.792243 [23] validation_0-merror:0.35 validation_0-mlogloss:0.79104 [24] validation_0-merror:0.35 validation_0-mlogloss:0.789386 [25] validation_0-merror:0.35 validation_0-mlogloss:0.788319 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.787988 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.790752 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.791602 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.794652 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.800118 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.803085 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.787988 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05778 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02881 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995282 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973626 [4] validation_0-merror:0.4 validation_0-mlogloss:0.955887 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936246 [6] validation_0-merror:0.4 validation_0-mlogloss:0.914609 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903115 [8] validation_0-merror:0.35 validation_0-mlogloss:0.882201 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865445 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.852589 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835639 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817147 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803944 [14] validation_0-merror:0.35 validation_0-mlogloss:0.799365 [15] validation_0-merror:0.35 validation_0-mlogloss:0.794688 [16] validation_0-merror:0.35 validation_0-mlogloss:0.784727 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778498 [18] validation_0-merror:0.35 validation_0-mlogloss:0.775763 [19] validation_0-merror:0.35 validation_0-mlogloss:0.769851 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765824 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768501 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763358 [23] validation_0-merror:0.35 validation_0-mlogloss:0.75958 [24] validation_0-merror:0.35 validation_0-mlogloss:0.754954 [25] validation_0-merror:0.35 validation_0-mlogloss:0.75314 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752051 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748638 [28] validation_0-merror:0.35 validation_0-mlogloss:0.742822 [29] validation_0-merror:0.35 validation_0-mlogloss:0.744489 [30] validation_0-merror:0.35 validation_0-mlogloss:0.745412 [31] validation_0-merror:0.35 validation_0-mlogloss:0.75026 [32] validation_0-merror:0.35 validation_0-mlogloss:0.75087 [33] validation_0-merror:0.35 validation_0-mlogloss:0.750033 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.742822 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05676 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02168 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995588 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.967958 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.960621 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938368 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.920464 [7] validation_0-merror:0.4 validation_0-mlogloss:0.902405 [8] validation_0-merror:0.4 validation_0-mlogloss:0.884463 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.867431 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.856816 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8458 [12] validation_0-merror:0.35 validation_0-mlogloss:0.835562 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82619 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817737 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.817261 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.806159 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.79307 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.787732 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780684 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772725 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763057 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754243 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75076 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742956 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741184 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.731839 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730201 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722161 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71735 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710192 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703746 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.7033 [33] validation_0-merror:0.3 validation_0-mlogloss:0.704829 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704474 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700692 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.696923 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.69398 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694361 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694969 [40] validation_0-merror:0.3 validation_0-mlogloss:0.697198 [41] validation_0-merror:0.3 validation_0-mlogloss:0.695574 [42] validation_0-merror:0.3 validation_0-mlogloss:0.689472 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.686224 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.685677 [45] validation_0-merror:0.3 validation_0-mlogloss:0.684243 [46] validation_0-merror:0.3 validation_0-mlogloss:0.686043 [47] validation_0-merror:0.3 validation_0-mlogloss:0.683557 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.682322 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.685161 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.682869 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.683471 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684498 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.686902 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.682322 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03878 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00446 [3] validation_0-merror:0.35 validation_0-mlogloss:0.98116 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945091 [5] validation_0-merror:0.35 validation_0-mlogloss:0.924045 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903101 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888231 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869761 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853789 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.838274 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826479 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.821561 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.815242 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805893 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791789 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784928 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.781941 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.782057 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.780406 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777711 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774839 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.772957 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.772215 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770169 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767745 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765268 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.763799 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.765386 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761533 [30] validation_0-merror:0.35 validation_0-mlogloss:0.764722 [31] validation_0-merror:0.35 validation_0-mlogloss:0.762451 [32] validation_0-merror:0.35 validation_0-mlogloss:0.76296 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.762626 [34] validation_0-merror:0.35 validation_0-mlogloss:0.765406 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.761533 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06115 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03449 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.995766 [3] validation_0-merror:0.3 validation_0-mlogloss:0.98045 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.948925 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927909 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909542 [7] validation_0-merror:0.35 validation_0-mlogloss:0.896387 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.883282 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869542 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853318 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843426 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.830205 [13] validation_0-merror:0.35 validation_0-mlogloss:0.813776 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798054 [15] validation_0-merror:0.35 validation_0-mlogloss:0.796448 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787149 [17] validation_0-merror:0.35 validation_0-mlogloss:0.783148 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773089 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763035 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.760547 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757058 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755086 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.745684 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743093 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.739335 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734107 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.725181 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720452 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716612 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715838 [31] validation_0-merror:0.3 validation_0-mlogloss:0.718556 [32] validation_0-merror:0.3 validation_0-mlogloss:0.719818 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72036 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723447 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.729253 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.715838 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00937 [2] validation_0-merror:0.3 validation_0-mlogloss:0.975267 [3] validation_0-merror:0.3 validation_0-mlogloss:0.945698 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943065 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913214 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891625 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874831 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854935 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837895 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821383 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.808612 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796367 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.782363 [14] validation_0-merror:0.3 validation_0-mlogloss:0.775382 [15] validation_0-merror:0.3 validation_0-mlogloss:0.770719 [16] validation_0-merror:0.3 validation_0-mlogloss:0.761136 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749401 [18] validation_0-merror:0.3 validation_0-mlogloss:0.743649 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738336 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.730892 [21] validation_0-merror:0.3 validation_0-mlogloss:0.728032 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.719893 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.71567 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.709702 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.709541 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702768 [27] validation_0-merror:0.3 validation_0-mlogloss:0.701903 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696184 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694638 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.692574 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.689014 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.684992 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.680277 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.677844 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.6752 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.677858 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.67938 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.681931 [39] validation_0-merror:0.3 validation_0-mlogloss:0.682723 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682253 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.6752 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0308 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00043 [3] validation_0-merror:0.3 validation_0-mlogloss:0.969076 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937926 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917875 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897964 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884719 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862177 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84942 [10] validation_0-merror:0.3 validation_0-mlogloss:0.837472 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8292 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821018 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804631 [15] validation_0-merror:0.35 validation_0-mlogloss:0.794558 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794252 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79104 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791432 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791768 [20] validation_0-merror:0.35 validation_0-mlogloss:0.789181 [21] validation_0-merror:0.35 validation_0-mlogloss:0.787327 [22] validation_0-merror:0.35 validation_0-mlogloss:0.781987 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776602 [24] validation_0-merror:0.35 validation_0-mlogloss:0.776036 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772662 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768446 [27] validation_0-merror:0.35 validation_0-mlogloss:0.765695 [28] validation_0-merror:0.35 validation_0-mlogloss:0.768663 [29] validation_0-merror:0.35 validation_0-mlogloss:0.767678 [30] validation_0-merror:0.35 validation_0-mlogloss:0.770003 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772959 [32] validation_0-merror:0.35 validation_0-mlogloss:0.77481 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.765695 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06126 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0322 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00087 [3] validation_0-merror:0.35 validation_0-mlogloss:0.978554 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948441 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932338 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922351 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909498 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890885 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.880652 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866762 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.852747 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.837193 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828435 [14] validation_0-merror:0.3 validation_0-mlogloss:0.811914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807683 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803353 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.796609 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.788779 [19] validation_0-merror:0.3 validation_0-mlogloss:0.780308 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.782584 [21] validation_0-merror:0.35 validation_0-mlogloss:0.780935 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.776388 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768535 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76471 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.761481 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756371 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754407 [28] validation_0-merror:0.3 validation_0-mlogloss:0.752242 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748751 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.750164 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.752472 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.749576 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.752053 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.752266 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748751 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02332 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988949 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964522 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932983 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908385 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893136 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881469 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.866719 [9] validation_0-merror:0.35 validation_0-mlogloss:0.85562 [10] validation_0-merror:0.4 validation_0-mlogloss:0.846819 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830141 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810524 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794575 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785741 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779538 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769274 [17] validation_0-merror:0.35 validation_0-mlogloss:0.75954 [18] validation_0-merror:0.35 validation_0-mlogloss:0.751126 [19] validation_0-merror:0.35 validation_0-mlogloss:0.743893 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.737551 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731752 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.72659 [23] validation_0-merror:0.35 validation_0-mlogloss:0.721328 [24] validation_0-merror:0.35 validation_0-mlogloss:0.717282 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.711422 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.709229 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.704737 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703352 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699617 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693443 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.695753 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693341 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690575 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690222 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692587 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69352 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692666 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691531 [39] validation_0-merror:0.3 validation_0-mlogloss:0.691056 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.690222 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05828 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03257 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00074 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.982116 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.958709 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935525 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921444 [7] validation_0-merror:0.35 validation_0-mlogloss:0.91232 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.901894 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.891653 [10] validation_0-merror:0.35 validation_0-mlogloss:0.87822 [11] validation_0-merror:0.35 validation_0-mlogloss:0.859419 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.843817 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.831028 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.82355 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.815534 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808546 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803263 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.795508 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.789103 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.782718 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780559 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.778099 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777751 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.776004 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.773338 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.773122 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.770642 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.76751 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.768802 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.771383 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772286 [32] validation_0-merror:0.35 validation_0-mlogloss:0.76999 [33] validation_0-merror:0.35 validation_0-mlogloss:0.772058 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.76751 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05784 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03064 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999757 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979408 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956239 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933235 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.918558 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.905452 [8] validation_0-merror:0.35 validation_0-mlogloss:0.886247 [9] validation_0-merror:0.35 validation_0-mlogloss:0.869621 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.857202 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84016 [12] validation_0-merror:0.3 validation_0-mlogloss:0.820068 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.807186 [14] validation_0-merror:0.3 validation_0-mlogloss:0.803031 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792549 [16] validation_0-merror:0.3 validation_0-mlogloss:0.784758 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77748 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770072 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763465 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755175 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756111 [22] validation_0-merror:0.3 validation_0-mlogloss:0.751478 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749663 [24] validation_0-merror:0.3 validation_0-mlogloss:0.743817 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738783 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.739462 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73409 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729038 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727013 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728279 [31] validation_0-merror:0.3 validation_0-mlogloss:0.731362 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727981 [33] validation_0-merror:0.3 validation_0-mlogloss:0.725825 [34] validation_0-merror:0.3 validation_0-mlogloss:0.719886 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71892 [36] validation_0-merror:0.3 validation_0-mlogloss:0.720999 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722915 [38] validation_0-merror:0.3 validation_0-mlogloss:0.722898 [39] validation_0-merror:0.3 validation_0-mlogloss:0.722822 [40] validation_0-merror:0.3 validation_0-mlogloss:0.7214 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.71892 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0275 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998181 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972454 [4] validation_0-merror:0.4 validation_0-mlogloss:0.962578 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93908 [6] validation_0-merror:0.35 validation_0-mlogloss:0.922157 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905503 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890273 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.87305 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862501 [11] validation_0-merror:0.433333 validation_0-mlogloss:0.851015 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.838139 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.830188 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.822483 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.819702 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807298 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794262 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789695 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.784926 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.7759 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768693 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760091 [23] validation_0-merror:0.35 validation_0-mlogloss:0.752964 [24] validation_0-merror:0.35 validation_0-mlogloss:0.745108 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743771 [26] validation_0-merror:0.35 validation_0-mlogloss:0.735303 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727589 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721219 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.716475 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.712254 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705837 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70687 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70175 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.701189 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.698671 [36] validation_0-merror:0.3 validation_0-mlogloss:0.699131 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.69685 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698198 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.694903 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.693603 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.694605 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69258 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688964 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688656 [45] validation_0-merror:0.3 validation_0-mlogloss:0.688904 [46] validation_0-merror:0.3 validation_0-mlogloss:0.688062 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.686486 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.683651 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.685544 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681324 [51] validation_0-merror:0.3 validation_0-mlogloss:0.685059 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.686591 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.687693 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.684685 [55] validation_0-merror:0.3 validation_0-mlogloss:0.684249 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681324 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03326 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997506 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976679 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942678 [5] validation_0-merror:0.35 validation_0-mlogloss:0.922213 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901561 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.887037 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86765 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850539 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.832458 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823108 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.818954 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809105 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.804071 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.793661 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.787069 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782748 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778666 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77384 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767882 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762264 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760581 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760655 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763058 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763028 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760371 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.755897 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755527 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.754186 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755312 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.754358 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747646 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744495 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.749849 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.752896 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.748106 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.746545 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.74689 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744495 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06779 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03862 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00138 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.97908 [4] validation_0-merror:0.3 validation_0-mlogloss:0.9508 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.925459 [6] validation_0-merror:0.3 validation_0-mlogloss:0.908217 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894901 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.880618 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.86794 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849745 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841392 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.828883 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813833 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801564 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799806 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.792548 [17] validation_0-merror:0.3 validation_0-mlogloss:0.788325 [18] validation_0-merror:0.3 validation_0-mlogloss:0.780879 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.7792 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774596 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.769731 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765729 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75717 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.754884 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.750174 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.744942 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736828 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736584 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732876 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728342 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726369 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722359 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.722948 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718987 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.722215 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.719168 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717989 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715678 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.715222 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.710403 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.707797 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.710204 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.706551 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70743 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.707094 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.70499 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.705825 [48] validation_0-merror:0.3 validation_0-mlogloss:0.709125 [49] validation_0-merror:0.3 validation_0-mlogloss:0.708998 [50] validation_0-merror:0.3 validation_0-mlogloss:0.70905 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.708118 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.70499 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01365 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983341 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956589 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949496 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917357 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895497 [7] validation_0-merror:0.35 validation_0-mlogloss:0.877849 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858299 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840826 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.826229 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.812336 [12] validation_0-merror:0.35 validation_0-mlogloss:0.798669 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.784273 [14] validation_0-merror:0.35 validation_0-mlogloss:0.776073 [15] validation_0-merror:0.35 validation_0-mlogloss:0.771692 [16] validation_0-merror:0.35 validation_0-mlogloss:0.760083 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749727 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.74449 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74017 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.73085 [21] validation_0-merror:0.3 validation_0-mlogloss:0.726038 [22] validation_0-merror:0.3 validation_0-mlogloss:0.717823 [23] validation_0-merror:0.3 validation_0-mlogloss:0.711653 [24] validation_0-merror:0.3 validation_0-mlogloss:0.704506 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.703076 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.697074 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.697118 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690883 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689012 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.68699 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.681634 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.677548 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677091 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.674983 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.671357 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.669987 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.667476 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.669358 [39] validation_0-merror:0.3 validation_0-mlogloss:0.666646 [40] validation_0-merror:0.3 validation_0-mlogloss:0.665476 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.662905 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.659858 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.656923 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65574 [45] validation_0-merror:0.3 validation_0-mlogloss:0.653962 [46] validation_0-merror:0.3 validation_0-mlogloss:0.654284 [47] validation_0-merror:0.3 validation_0-mlogloss:0.653283 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65058 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.652373 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653006 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.655489 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.65351 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.657663 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65058 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03385 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00212 [3] validation_0-merror:0.35 validation_0-mlogloss:0.972152 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939057 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917012 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.90017 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885472 [8] validation_0-merror:0.35 validation_0-mlogloss:0.861742 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849035 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836784 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826133 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.82085 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809237 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80698 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799064 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796954 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791985 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788507 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.78755 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.783091 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781196 [22] validation_0-merror:0.35 validation_0-mlogloss:0.774278 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768371 [24] validation_0-merror:0.35 validation_0-mlogloss:0.768213 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767713 [26] validation_0-merror:0.35 validation_0-mlogloss:0.765199 [27] validation_0-merror:0.35 validation_0-mlogloss:0.767363 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767903 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766519 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763942 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765324 [32] validation_0-merror:0.35 validation_0-mlogloss:0.765129 [33] validation_0-merror:0.35 validation_0-mlogloss:0.763376 [34] validation_0-merror:0.35 validation_0-mlogloss:0.766793 [35] validation_0-merror:0.35 validation_0-mlogloss:0.768741 [36] validation_0-merror:0.35 validation_0-mlogloss:0.768995 [37] validation_0-merror:0.35 validation_0-mlogloss:0.77217 [38] validation_0-merror:0.35 validation_0-mlogloss:0.770102 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.763376 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06315 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03597 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9775 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944935 [5] validation_0-merror:0.25 validation_0-mlogloss:0.922643 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.902315 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.887672 [8] validation_0-merror:0.3 validation_0-mlogloss:0.872164 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.858334 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.842402 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.830911 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816733 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.805233 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790992 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787921 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783499 [17] validation_0-merror:0.25 validation_0-mlogloss:0.777122 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768502 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762771 [20] validation_0-merror:0.3 validation_0-mlogloss:0.762854 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760661 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755198 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749688 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746331 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743507 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741792 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737733 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.734029 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.728783 [30] validation_0-merror:0.3 validation_0-mlogloss:0.733451 [31] validation_0-merror:0.3 validation_0-mlogloss:0.732008 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727589 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730898 [34] validation_0-merror:0.3 validation_0-mlogloss:0.728581 [35] validation_0-merror:0.3 validation_0-mlogloss:0.727678 [36] validation_0-merror:0.3 validation_0-mlogloss:0.725723 [37] validation_0-merror:0.3 validation_0-mlogloss:0.725887 [38] validation_0-merror:0.3 validation_0-mlogloss:0.725159 [39] validation_0-merror:0.3 validation_0-mlogloss:0.725239 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.719967 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.719315 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720474 [43] validation_0-merror:0.3 validation_0-mlogloss:0.72334 [44] validation_0-merror:0.3 validation_0-mlogloss:0.724228 [45] validation_0-merror:0.3 validation_0-mlogloss:0.723214 [46] validation_0-merror:0.3 validation_0-mlogloss:0.71856 [47] validation_0-merror:0.3 validation_0-mlogloss:0.718301 [48] validation_0-merror:0.3 validation_0-mlogloss:0.719318 [49] validation_0-merror:0.3 validation_0-mlogloss:0.71802 [50] validation_0-merror:0.3 validation_0-mlogloss:0.717043 [51] validation_0-merror:0.3 validation_0-mlogloss:0.719243 [52] validation_0-merror:0.3 validation_0-mlogloss:0.719613 [53] validation_0-merror:0.3 validation_0-mlogloss:0.719607 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.719593 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.71768 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.717043 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02335 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.992696 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965005 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936189 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.911886 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893665 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885372 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866446 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854651 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844913 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827426 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809729 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798944 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790089 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77822 [16] validation_0-merror:0.3 validation_0-mlogloss:0.766254 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757958 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748723 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.742013 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.736771 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.73252 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727141 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722275 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718678 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712658 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70668 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703709 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701787 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.697498 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695419 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693903 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693514 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.691164 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.689935 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.689098 [36] validation_0-merror:0.3 validation_0-mlogloss:0.689012 [37] validation_0-merror:0.3 validation_0-mlogloss:0.68888 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688089 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.686649 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.68719 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.686575 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.688382 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.686704 [44] validation_0-merror:0.3 validation_0-mlogloss:0.689083 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.690846 [46] validation_0-merror:0.3 validation_0-mlogloss:0.693992 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.686575 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05888 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03126 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.998482 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981036 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.956523 [5] validation_0-merror:0.4 validation_0-mlogloss:0.934607 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919064 [7] validation_0-merror:0.35 validation_0-mlogloss:0.90992 [8] validation_0-merror:0.35 validation_0-mlogloss:0.898743 [9] validation_0-merror:0.35 validation_0-mlogloss:0.887622 [10] validation_0-merror:0.35 validation_0-mlogloss:0.878775 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.863962 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.848936 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.839594 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.833496 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.825723 [16] validation_0-merror:0.35 validation_0-mlogloss:0.818136 [17] validation_0-merror:0.35 validation_0-mlogloss:0.815567 [18] validation_0-merror:0.35 validation_0-mlogloss:0.81024 [19] validation_0-merror:0.35 validation_0-mlogloss:0.805693 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.800468 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.796028 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.791533 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.789083 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.786991 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.786205 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.789069 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.789504 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.786999 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.786163 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.788741 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.790698 [32] validation_0-merror:0.4 validation_0-mlogloss:0.791841 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.792486 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.792699 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.786163 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06341 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03373 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999066 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980056 [4] validation_0-merror:0.35 validation_0-mlogloss:0.957501 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934093 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.917468 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.90284 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884807 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868239 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850903 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835905 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.815337 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805174 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797729 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788754 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775611 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768925 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.762996 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753637 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.749803 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.747621 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741636 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734906 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730217 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726613 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725622 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720896 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715631 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712878 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712055 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712301 [32] validation_0-merror:0.3 validation_0-mlogloss:0.7057 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70435 [34] validation_0-merror:0.3 validation_0-mlogloss:0.69975 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698584 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701002 [37] validation_0-merror:0.3 validation_0-mlogloss:0.70442 [38] validation_0-merror:0.3 validation_0-mlogloss:0.703043 [39] validation_0-merror:0.3 validation_0-mlogloss:0.702775 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702451 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.698584 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02989 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996512 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970771 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962002 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935071 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91673 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901679 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886518 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.869788 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.857255 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841722 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828251 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813702 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807835 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805849 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.795073 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78344 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779197 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772365 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763002 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755337 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748271 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744767 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733861 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733459 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726913 [27] validation_0-merror:0.3 validation_0-mlogloss:0.723492 [28] validation_0-merror:0.3 validation_0-mlogloss:0.7184 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.714304 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708335 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705558 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705643 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.703555 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704841 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701933 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703681 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699652 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700098 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697962 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.700821 [41] validation_0-merror:0.3 validation_0-mlogloss:0.70176 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69957 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.696503 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695689 [45] validation_0-merror:0.3 validation_0-mlogloss:0.69355 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694377 [47] validation_0-merror:0.3 validation_0-mlogloss:0.690845 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688188 [49] validation_0-merror:0.3 validation_0-mlogloss:0.69032 [50] validation_0-merror:0.3 validation_0-mlogloss:0.688655 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.691058 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690611 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.692416 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.688188 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.04322 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00721 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981928 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949778 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.929684 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910077 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890945 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873556 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857637 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.841701 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832605 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827846 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.818629 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.812869 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805832 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800271 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793704 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786683 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781118 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774917 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768409 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767157 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.76516 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765864 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.762866 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76158 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758369 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755087 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752687 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753803 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75026 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.748609 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74813 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.75048 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.752014 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74771 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.752803 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.752333 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.751361 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.748493 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.745274 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.745961 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.743909 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.74183 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.744234 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.744934 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.744636 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748779 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.747903 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.74183 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.07022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04127 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00255 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981355 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955909 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.933095 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.897767 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.88299 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870768 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849556 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838512 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825599 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809507 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797624 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797877 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.792332 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785853 [18] validation_0-merror:0.3 validation_0-mlogloss:0.77249 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.768596 [20] validation_0-merror:0.3 validation_0-mlogloss:0.762588 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753662 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750758 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740856 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.739653 [25] validation_0-merror:0.3 validation_0-mlogloss:0.735024 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72985 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724693 [28] validation_0-merror:0.3 validation_0-mlogloss:0.721442 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717288 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.711734 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706588 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705771 [33] validation_0-merror:0.3 validation_0-mlogloss:0.7062 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703672 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702689 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697727 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69707 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694381 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690743 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684889 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.682723 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.683972 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.680555 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679471 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676632 [46] validation_0-merror:0.3 validation_0-mlogloss:0.677566 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678222 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682987 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682726 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680128 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676632 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01287 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987917 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957243 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949666 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918312 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89707 [7] validation_0-merror:0.35 validation_0-mlogloss:0.879995 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.864528 [9] validation_0-merror:0.35 validation_0-mlogloss:0.845102 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.832005 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817878 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805932 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796793 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788227 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785786 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772313 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.760831 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754252 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749128 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738523 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735546 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.72557 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720772 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712879 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710859 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.704571 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702698 [28] validation_0-merror:0.3 validation_0-mlogloss:0.69906 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69572 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693636 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68844 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683651 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680789 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.678191 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673435 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673079 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.672984 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674235 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670223 [40] validation_0-merror:0.3 validation_0-mlogloss:0.672178 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.66941 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.670072 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.667787 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666334 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664195 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662451 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.660365 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.658091 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.657833 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.658322 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.659883 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.657477 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660592 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.661833 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.662968 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.663327 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.663772 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.657477 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06326 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02986 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999488 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968913 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.936425 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917478 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902618 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885415 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86144 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.847016 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837277 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828566 [12] validation_0-merror:0.35 validation_0-mlogloss:0.822559 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814839 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813757 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805169 [16] validation_0-merror:0.4 validation_0-mlogloss:0.802656 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.795574 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.794487 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.794715 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.787356 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.783762 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.778065 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776693 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778171 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.776496 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.772013 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.771334 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.770181 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.769051 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.769365 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.769892 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.769348 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.769812 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.771181 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.769051 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03729 [2] validation_0-merror:0.3 validation_0-mlogloss:1.0047 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976484 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947373 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924426 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.906312 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892219 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.873704 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.859853 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.846563 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.834245 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.820875 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.809035 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800203 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796618 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791951 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.784028 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.777104 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.768301 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.76578 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.762933 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.75539 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.746643 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.747783 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.743155 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.740997 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.736104 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734387 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.728858 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.731814 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.726587 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.719878 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.724082 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.720795 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.724308 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.721122 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.720548 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.719878 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05774 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02465 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993329 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969072 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939685 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914393 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89526 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884655 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863762 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852156 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.838526 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821069 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.798426 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.784832 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.775916 [15] validation_0-merror:0.3 validation_0-mlogloss:0.767273 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760989 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752738 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.742766 [19] validation_0-merror:0.3 validation_0-mlogloss:0.736437 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731005 [21] validation_0-merror:0.3 validation_0-mlogloss:0.724894 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.719288 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.713951 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709473 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70708 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.703892 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703596 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.699733 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697704 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694159 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692367 [33] validation_0-merror:0.3 validation_0-mlogloss:0.691227 [34] validation_0-merror:0.3 validation_0-mlogloss:0.688408 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688123 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.688148 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686368 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687526 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687643 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.689536 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.689375 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.688751 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.686368 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03092 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00189 [3] validation_0-merror:0.45 validation_0-mlogloss:0.982286 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.95243 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.932348 [6] validation_0-merror:0.4 validation_0-mlogloss:0.917175 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.911919 [8] validation_0-merror:0.35 validation_0-mlogloss:0.902029 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.891181 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.879434 [11] validation_0-merror:0.4 validation_0-mlogloss:0.869275 [12] validation_0-merror:0.4 validation_0-mlogloss:0.855165 [13] validation_0-merror:0.4 validation_0-mlogloss:0.844084 [14] validation_0-merror:0.4 validation_0-mlogloss:0.837008 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.826559 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.818384 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.814758 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.812014 [19] validation_0-merror:0.4 validation_0-mlogloss:0.809634 [20] validation_0-merror:0.4 validation_0-mlogloss:0.809596 [21] validation_0-merror:0.4 validation_0-mlogloss:0.807958 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.80409 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.800226 [24] validation_0-merror:0.4 validation_0-mlogloss:0.797272 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.794512 [26] validation_0-merror:0.4 validation_0-mlogloss:0.795253 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.797472 [28] validation_0-merror:0.4 validation_0-mlogloss:0.79588 [29] validation_0-merror:0.4 validation_0-mlogloss:0.795422 [30] validation_0-merror:0.4 validation_0-mlogloss:0.796295 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.794512 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06369 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03079 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998837 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97842 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955764 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929174 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.913601 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.900637 [8] validation_0-merror:0.3 validation_0-mlogloss:0.88379 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870115 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851773 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.834577 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821129 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810006 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804664 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.795689 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.780467 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770084 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766415 [19] validation_0-merror:0.3 validation_0-mlogloss:0.757281 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.753531 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752599 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.745182 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.73564 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728006 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.725858 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.72482 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.716643 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70906 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708705 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.708994 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.707721 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705744 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704339 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703108 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702499 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705651 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.709084 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.707125 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.706203 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.703344 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702499 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.940185 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920968 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.903699 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886441 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870131 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.856125 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.840842 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827807 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814519 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804707 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802591 [16] validation_0-merror:0.35 validation_0-mlogloss:0.790148 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778858 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776184 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771543 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.760886 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753534 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75003 [23] validation_0-merror:0.35 validation_0-mlogloss:0.745089 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.734195 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734288 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.727397 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.725249 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718148 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715076 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711742 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707711 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.706637 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70388 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.703303 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699424 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699662 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.70152 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.703798 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.702162 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.705144 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699424 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06457 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04173 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00733 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982999 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949739 [5] validation_0-merror:0.4 validation_0-mlogloss:0.931661 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913235 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.897014 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880495 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.865393 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.847954 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.837511 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831124 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820128 [14] validation_0-merror:0.4 validation_0-mlogloss:0.813476 [15] validation_0-merror:0.4 validation_0-mlogloss:0.805764 [16] validation_0-merror:0.4 validation_0-mlogloss:0.800575 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790905 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785512 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779269 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777311 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772695 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771231 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.768986 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.767655 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765964 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764675 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762243 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.759902 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.759667 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.759299 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757152 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756288 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.756614 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.758967 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.756362 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.754023 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.753352 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.75361 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.754203 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.751935 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.748189 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.748384 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.747267 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.746018 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.741807 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.742578 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.738895 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.739845 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.739433 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.735235 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.736618 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.735404 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.736294 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.743116 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.74431 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.735235 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0657 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03649 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997903 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954021 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.929258 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912949 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899386 [8] validation_0-merror:0.3 validation_0-mlogloss:0.88148 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868967 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849789 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836606 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825027 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810822 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799692 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79879 [16] validation_0-merror:0.3 validation_0-mlogloss:0.793604 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788404 [18] validation_0-merror:0.3 validation_0-mlogloss:0.781446 [19] validation_0-merror:0.3 validation_0-mlogloss:0.777448 [20] validation_0-merror:0.3 validation_0-mlogloss:0.77123 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766056 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765336 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.759122 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.758525 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756347 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750602 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742669 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741182 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73651 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.732945 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72954 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728588 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.728473 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.726403 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724613 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.718738 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719404 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.71631 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.71416 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.707949 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.705867 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.706911 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702662 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698498 [45] validation_0-merror:0.3 validation_0-mlogloss:0.695148 [46] validation_0-merror:0.3 validation_0-mlogloss:0.695809 [47] validation_0-merror:0.3 validation_0-mlogloss:0.696621 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695201 [49] validation_0-merror:0.3 validation_0-mlogloss:0.696528 [50] validation_0-merror:0.3 validation_0-mlogloss:0.692298 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.6906 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686705 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.688074 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.693416 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.691102 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.692274 [57] validation_0-merror:0.3 validation_0-mlogloss:0.691421 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686705 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985919 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957662 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948773 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920993 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905015 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886016 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869338 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.846725 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83371 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821316 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807793 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796202 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787767 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784131 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772556 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.760738 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75588 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750576 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742939 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740002 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728427 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720872 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.712765 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.711214 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70647 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705889 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703089 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700917 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698142 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693366 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689902 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687077 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685321 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.680046 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.678002 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.673998 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676065 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673873 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.675567 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.671436 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670694 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669568 [44] validation_0-merror:0.3 validation_0-mlogloss:0.668343 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664144 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662324 [47] validation_0-merror:0.3 validation_0-mlogloss:0.660784 [48] validation_0-merror:0.3 validation_0-mlogloss:0.659183 [49] validation_0-merror:0.3 validation_0-mlogloss:0.658387 [50] validation_0-merror:0.3 validation_0-mlogloss:0.658899 [51] validation_0-merror:0.3 validation_0-mlogloss:0.660867 [52] validation_0-merror:0.3 validation_0-mlogloss:0.660287 [53] validation_0-merror:0.3 validation_0-mlogloss:0.662455 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.664183 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.658387 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06353 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03102 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00114 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97188 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942169 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.92336 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907985 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891946 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.870726 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.855868 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843191 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83254 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827203 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819504 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815585 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809533 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80798 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.801686 [18] validation_0-merror:0.4 validation_0-mlogloss:0.795682 [19] validation_0-merror:0.4 validation_0-mlogloss:0.792506 [20] validation_0-merror:0.4 validation_0-mlogloss:0.790554 [21] validation_0-merror:0.4 validation_0-mlogloss:0.785103 [22] validation_0-merror:0.4 validation_0-mlogloss:0.781104 [23] validation_0-merror:0.4 validation_0-mlogloss:0.777788 [24] validation_0-merror:0.4 validation_0-mlogloss:0.779244 [25] validation_0-merror:0.4 validation_0-mlogloss:0.77734 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.773083 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769216 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.766117 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.764995 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.765006 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.764272 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.762852 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.766971 [34] validation_0-merror:0.4 validation_0-mlogloss:0.765859 [35] validation_0-merror:0.4 validation_0-mlogloss:0.766268 [36] validation_0-merror:0.4 validation_0-mlogloss:0.767682 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.770878 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.762852 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03873 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.0097 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.982144 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.961126 [5] validation_0-merror:0.3 validation_0-mlogloss:0.938207 [6] validation_0-merror:0.3 validation_0-mlogloss:0.918654 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.905555 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.88799 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870971 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.858048 [11] validation_0-merror:0.3 validation_0-mlogloss:0.846098 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.832164 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820608 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812601 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807983 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80296 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.796122 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.789311 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780305 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778414 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776952 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770905 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763317 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763895 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756753 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756998 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750525 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748019 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.743155 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746063 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.740038 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735948 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.737508 [34] validation_0-merror:0.3 validation_0-mlogloss:0.733532 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.735486 [36] validation_0-merror:0.3 validation_0-mlogloss:0.734599 [37] validation_0-merror:0.3 validation_0-mlogloss:0.734319 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732957 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.733238 [40] validation_0-merror:0.3 validation_0-mlogloss:0.728003 [41] validation_0-merror:0.3 validation_0-mlogloss:0.726341 [42] validation_0-merror:0.3 validation_0-mlogloss:0.726858 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.727805 [44] validation_0-merror:0.3 validation_0-mlogloss:0.727856 [45] validation_0-merror:0.3 validation_0-mlogloss:0.724574 [46] validation_0-merror:0.3 validation_0-mlogloss:0.719911 [47] validation_0-merror:0.3 validation_0-mlogloss:0.720051 [48] validation_0-merror:0.3 validation_0-mlogloss:0.722945 [49] validation_0-merror:0.3 validation_0-mlogloss:0.728024 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.727959 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.72908 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.719911 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02416 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.992385 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.967001 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.9388 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915801 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895148 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882013 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.862595 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.850844 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839167 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821689 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80336 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789327 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781994 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772318 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.763717 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.755616 [18] validation_0-merror:0.3 validation_0-mlogloss:0.745852 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.736983 [20] validation_0-merror:0.3 validation_0-mlogloss:0.729467 [21] validation_0-merror:0.3 validation_0-mlogloss:0.726012 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.718508 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.713534 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.708721 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.70276 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.701468 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.696865 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.69511 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.690209 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.688621 [31] validation_0-merror:0.3 validation_0-mlogloss:0.682891 [32] validation_0-merror:0.3 validation_0-mlogloss:0.67962 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679006 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.678795 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679905 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680718 [37] validation_0-merror:0.3 validation_0-mlogloss:0.678142 [38] validation_0-merror:0.3 validation_0-mlogloss:0.67724 [39] validation_0-merror:0.3 validation_0-mlogloss:0.676969 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68021 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680968 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680886 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683026 [44] validation_0-merror:0.3 validation_0-mlogloss:0.686364 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.676969 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03221 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0017 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.985977 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95773 [5] validation_0-merror:0.4 validation_0-mlogloss:0.936077 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.921846 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.915209 [8] validation_0-merror:0.4 validation_0-mlogloss:0.906826 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.89435 [10] validation_0-merror:0.4 validation_0-mlogloss:0.881541 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.871895 [12] validation_0-merror:0.4 validation_0-mlogloss:0.858251 [13] validation_0-merror:0.4 validation_0-mlogloss:0.846654 [14] validation_0-merror:0.4 validation_0-mlogloss:0.838454 [15] validation_0-merror:0.4 validation_0-mlogloss:0.827628 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.819858 [17] validation_0-merror:0.4 validation_0-mlogloss:0.816759 [18] validation_0-merror:0.4 validation_0-mlogloss:0.813554 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.811499 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.807543 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.806095 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.802536 [23] validation_0-merror:0.4 validation_0-mlogloss:0.799987 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.79658 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.794815 [26] validation_0-merror:0.4 validation_0-mlogloss:0.792284 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.794192 [28] validation_0-merror:0.4 validation_0-mlogloss:0.793028 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.791973 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.795182 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.798026 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.798227 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.799128 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.799394 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.791973 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06524 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0308 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00014 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980768 [4] validation_0-merror:0.35 validation_0-mlogloss:0.95609 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92657 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911132 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901899 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.882476 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866453 [10] validation_0-merror:0.3 validation_0-mlogloss:0.847963 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830914 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813246 [13] validation_0-merror:0.3 validation_0-mlogloss:0.801566 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794413 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786923 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773256 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763282 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760351 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750058 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743222 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741876 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734371 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726382 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722548 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717369 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716154 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.708363 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702498 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.70097 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699356 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697521 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696971 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692828 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695159 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697063 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696042 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695005 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692971 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692828 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05704 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02173 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993474 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958627 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951861 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927479 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.908287 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.896298 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.881334 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865325 [10] validation_0-merror:0.35 validation_0-mlogloss:0.855729 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843259 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.830598 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820017 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815069 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81488 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.800102 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7896 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.783813 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.778542 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.768796 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.758865 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.753857 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747003 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743018 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742761 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733049 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731108 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724255 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717459 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711168 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705215 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70335 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700801 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698407 [35] validation_0-merror:0.3 validation_0-mlogloss:0.695146 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.690833 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.683461 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683813 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.681717 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683599 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.682501 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.680014 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.681373 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.681182 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.683147 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.67976 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.678959 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678865 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680054 [50] validation_0-merror:0.3 validation_0-mlogloss:0.679465 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680912 [52] validation_0-merror:0.3 validation_0-mlogloss:0.679952 [53] validation_0-merror:0.3 validation_0-mlogloss:0.685161 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.678865 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03497 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.97237 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940557 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917217 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895823 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882068 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864356 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.845995 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833305 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82444 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.822835 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813017 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807896 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800864 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796636 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792942 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792723 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791932 [20] validation_0-merror:0.35 validation_0-mlogloss:0.792185 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783653 [22] validation_0-merror:0.35 validation_0-mlogloss:0.784783 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.782766 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.780601 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.781645 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.779143 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.776024 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.768368 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.768294 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.767463 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.767266 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.766268 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.768837 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.774055 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.776702 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.773959 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.776761 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.766268 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06384 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03651 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.996443 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973459 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942804 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921433 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908742 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.89686 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.881997 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869167 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.853186 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843508 [12] validation_0-merror:0.35 validation_0-mlogloss:0.831976 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.820376 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802568 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796259 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.791044 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.788472 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779428 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.774009 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.77376 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.773524 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768303 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758367 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756157 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752876 [26] validation_0-merror:0.35 validation_0-mlogloss:0.745057 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74376 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.740865 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737713 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738509 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.740896 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.741468 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744478 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.74856 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737713 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04999 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00924 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97768 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949881 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949115 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.920307 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900549 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890245 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87526 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859813 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.84215 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835943 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821664 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808364 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79807 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796229 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787451 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780972 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776189 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.770074 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.761007 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756449 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.745979 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734741 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727843 [25] validation_0-merror:0.3 validation_0-mlogloss:0.729476 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7237 [27] validation_0-merror:0.3 validation_0-mlogloss:0.725253 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.718791 [29] validation_0-merror:0.3 validation_0-mlogloss:0.71633 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.713222 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.709277 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.703685 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706854 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706748 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703399 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703245 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.703092 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.706094 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.705276 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702642 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.703408 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.702282 [43] validation_0-merror:0.3 validation_0-mlogloss:0.700612 [44] validation_0-merror:0.3 validation_0-mlogloss:0.700224 [45] validation_0-merror:0.3 validation_0-mlogloss:0.701303 [46] validation_0-merror:0.3 validation_0-mlogloss:0.703198 [47] validation_0-merror:0.3 validation_0-mlogloss:0.702374 [48] validation_0-merror:0.3 validation_0-mlogloss:0.701393 [49] validation_0-merror:0.3 validation_0-mlogloss:0.704045 Stopping. Best iteration: [44] validation_0-merror:0.3 validation_0-mlogloss:0.700224 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06257 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03476 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00656 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974101 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947196 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.928009 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910483 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894139 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870282 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860102 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850405 [11] validation_0-merror:0.35 validation_0-mlogloss:0.848546 [12] validation_0-merror:0.35 validation_0-mlogloss:0.840526 [13] validation_0-merror:0.35 validation_0-mlogloss:0.834074 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.82832 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.81564 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.815998 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.817009 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.81842 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.813315 [20] validation_0-merror:0.35 validation_0-mlogloss:0.810155 [21] validation_0-merror:0.35 validation_0-mlogloss:0.807177 [22] validation_0-merror:0.35 validation_0-mlogloss:0.80396 [23] validation_0-merror:0.35 validation_0-mlogloss:0.80014 [24] validation_0-merror:0.35 validation_0-mlogloss:0.802752 [25] validation_0-merror:0.35 validation_0-mlogloss:0.803192 [26] validation_0-merror:0.35 validation_0-mlogloss:0.799021 [27] validation_0-merror:0.35 validation_0-mlogloss:0.797923 [28] validation_0-merror:0.35 validation_0-mlogloss:0.796566 [29] validation_0-merror:0.35 validation_0-mlogloss:0.794445 [30] validation_0-merror:0.35 validation_0-mlogloss:0.794701 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.795857 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.797032 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.794397 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.797209 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.798816 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.798456 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.80426 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.806468 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.794397 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06359 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02926 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999296 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.979182 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.953639 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.94216 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.931802 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.922798 [8] validation_0-merror:0.35 validation_0-mlogloss:0.904049 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.894822 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880832 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.867566 [12] validation_0-merror:0.35 validation_0-mlogloss:0.857634 [13] validation_0-merror:0.35 validation_0-mlogloss:0.850808 [14] validation_0-merror:0.3 validation_0-mlogloss:0.835447 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.832312 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.82867 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.824845 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.813612 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.811014 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.812395 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.809611 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.806067 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.798744 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.795146 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.796697 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.794055 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.792847 [28] validation_0-merror:0.35 validation_0-mlogloss:0.790114 [29] validation_0-merror:0.35 validation_0-mlogloss:0.78283 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.783685 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.782362 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.777767 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.776797 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.777659 [35] validation_0-merror:0.35 validation_0-mlogloss:0.780997 [36] validation_0-merror:0.35 validation_0-mlogloss:0.783252 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.785643 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.782258 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.776797 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05255 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01979 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99114 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966277 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932279 [5] validation_0-merror:0.3 validation_0-mlogloss:0.906464 [6] validation_0-merror:0.3 validation_0-mlogloss:0.891187 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.88099 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865957 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851547 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840644 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824281 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.80268 [13] validation_0-merror:0.25 validation_0-mlogloss:0.785083 [14] validation_0-merror:0.25 validation_0-mlogloss:0.776625 [15] validation_0-merror:0.25 validation_0-mlogloss:0.766853 [16] validation_0-merror:0.3 validation_0-mlogloss:0.759101 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.751817 [18] validation_0-merror:0.25 validation_0-mlogloss:0.742481 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.733704 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.724799 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.72141 [22] validation_0-merror:0.25 validation_0-mlogloss:0.718794 [23] validation_0-merror:0.25 validation_0-mlogloss:0.713614 [24] validation_0-merror:0.25 validation_0-mlogloss:0.712594 [25] validation_0-merror:0.25 validation_0-mlogloss:0.705456 [26] validation_0-merror:0.25 validation_0-mlogloss:0.701723 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.696828 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.697412 [29] validation_0-merror:0.25 validation_0-mlogloss:0.694251 [30] validation_0-merror:0.25 validation_0-mlogloss:0.693519 [31] validation_0-merror:0.25 validation_0-mlogloss:0.692154 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.688966 [33] validation_0-merror:0.25 validation_0-mlogloss:0.689915 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.686008 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.6841 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.684841 [37] validation_0-merror:0.25 validation_0-mlogloss:0.685068 [38] validation_0-merror:0.25 validation_0-mlogloss:0.684034 [39] validation_0-merror:0.25 validation_0-mlogloss:0.682386 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.681028 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.679852 [42] validation_0-merror:0.25 validation_0-mlogloss:0.679275 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.680416 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.679671 [45] validation_0-merror:0.25 validation_0-mlogloss:0.682137 [46] validation_0-merror:0.25 validation_0-mlogloss:0.684392 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.686779 Stopping. Best iteration: [42] validation_0-merror:0.25 validation_0-mlogloss:0.679275 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05681 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03155 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00551 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.988985 [4] validation_0-merror:0.4 validation_0-mlogloss:0.960048 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.936882 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921852 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.916398 [8] validation_0-merror:0.3 validation_0-mlogloss:0.905815 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.894374 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.88129 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.86934 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.853217 [13] validation_0-merror:0.3 validation_0-mlogloss:0.842895 [14] validation_0-merror:0.3 validation_0-mlogloss:0.836354 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.829463 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.821465 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.816142 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.816506 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.811592 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.813546 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.812567 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.812031 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.809219 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.806372 [25] validation_0-merror:0.35 validation_0-mlogloss:0.806282 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.808139 [27] validation_0-merror:0.35 validation_0-mlogloss:0.811946 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.810799 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.813989 [30] validation_0-merror:0.35 validation_0-mlogloss:0.819122 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.806282 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05704 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03017 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995675 [3] validation_0-merror:0.35 validation_0-mlogloss:0.973858 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953746 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933196 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910603 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89985 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.87975 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864473 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851946 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.8361 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815716 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805319 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79986 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795551 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784531 [17] validation_0-merror:0.35 validation_0-mlogloss:0.774696 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772057 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769402 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.760884 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765987 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763172 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758977 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.752677 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750798 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749386 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747227 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742963 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.741789 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.742605 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744632 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741747 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.741098 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738347 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741085 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.744186 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.747317 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.74735 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.748091 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738347 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05676 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02168 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995588 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.967958 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.960974 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938747 [6] validation_0-merror:0.4 validation_0-mlogloss:0.920826 [7] validation_0-merror:0.4 validation_0-mlogloss:0.906593 [8] validation_0-merror:0.4 validation_0-mlogloss:0.888802 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.872553 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.865257 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.8547 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844441 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834936 [14] validation_0-merror:0.35 validation_0-mlogloss:0.824683 [15] validation_0-merror:0.35 validation_0-mlogloss:0.824229 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813031 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799962 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.795018 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.787249 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.778466 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771039 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76237 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756328 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.748448 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74612 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.738441 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738826 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73056 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726359 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.719221 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712893 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712256 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712022 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.710279 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706438 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703396 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.698406 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698624 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699897 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702099 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.700511 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.695192 [43] validation_0-merror:0.3 validation_0-mlogloss:0.693155 [44] validation_0-merror:0.3 validation_0-mlogloss:0.692551 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693033 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.694456 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.691225 [48] validation_0-merror:0.3 validation_0-mlogloss:0.690039 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692291 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689871 [51] validation_0-merror:0.3 validation_0-mlogloss:0.690618 [52] validation_0-merror:0.3 validation_0-mlogloss:0.691657 [53] validation_0-merror:0.3 validation_0-mlogloss:0.694132 [54] validation_0-merror:0.3 validation_0-mlogloss:0.693935 [55] validation_0-merror:0.3 validation_0-mlogloss:0.693325 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689871 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03878 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00446 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982392 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945187 [5] validation_0-merror:0.35 validation_0-mlogloss:0.924365 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903507 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886336 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868023 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851959 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836496 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823987 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819845 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.813522 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805227 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.792033 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784915 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.78254 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.781744 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779516 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.776637 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772978 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.770307 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769127 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766927 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765347 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763013 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.761536 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763302 [29] validation_0-merror:0.35 validation_0-mlogloss:0.765138 [30] validation_0-merror:0.35 validation_0-mlogloss:0.76845 [31] validation_0-merror:0.35 validation_0-mlogloss:0.768554 [32] validation_0-merror:0.35 validation_0-mlogloss:0.768896 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.761536 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0612 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03346 [2] validation_0-merror:0.25 validation_0-mlogloss:0.994794 [3] validation_0-merror:0.3 validation_0-mlogloss:0.979124 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947707 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926183 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.907871 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.89582 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882693 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868869 [10] validation_0-merror:0.4 validation_0-mlogloss:0.852804 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843431 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.829458 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812905 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797718 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795084 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786181 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780528 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771779 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766648 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763567 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760719 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756796 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.746521 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.743652 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740839 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735773 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727413 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72241 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718591 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717984 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72022 [32] validation_0-merror:0.3 validation_0-mlogloss:0.720214 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720767 [34] validation_0-merror:0.3 validation_0-mlogloss:0.722128 [35] validation_0-merror:0.3 validation_0-mlogloss:0.727995 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.717984 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05091 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01084 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.976694 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94662 [4] validation_0-merror:0.35 validation_0-mlogloss:0.945455 [5] validation_0-merror:0.35 validation_0-mlogloss:0.9158 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900681 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882715 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864507 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846995 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830342 [11] validation_0-merror:0.3 validation_0-mlogloss:0.817946 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807308 [13] validation_0-merror:0.3 validation_0-mlogloss:0.793117 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790132 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786759 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776014 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.764345 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757188 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.751459 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.745366 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741475 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.732576 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727287 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721554 [25] validation_0-merror:0.3 validation_0-mlogloss:0.720353 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712824 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711986 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705491 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706001 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704862 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.70109 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.69699 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696579 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693676 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691197 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692887 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692687 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693798 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692259 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691456 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691197 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06379 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03276 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00015 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968475 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93982 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920055 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900721 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888008 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865342 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854603 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843337 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836808 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831254 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.819711 [14] validation_0-merror:0.35 validation_0-mlogloss:0.81398 [15] validation_0-merror:0.35 validation_0-mlogloss:0.804218 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805475 [17] validation_0-merror:0.35 validation_0-mlogloss:0.80079 [18] validation_0-merror:0.35 validation_0-mlogloss:0.796977 [19] validation_0-merror:0.35 validation_0-mlogloss:0.796754 [20] validation_0-merror:0.35 validation_0-mlogloss:0.795004 [21] validation_0-merror:0.35 validation_0-mlogloss:0.793113 [22] validation_0-merror:0.35 validation_0-mlogloss:0.787953 [23] validation_0-merror:0.35 validation_0-mlogloss:0.78424 [24] validation_0-merror:0.35 validation_0-mlogloss:0.783438 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.782252 [26] validation_0-merror:0.35 validation_0-mlogloss:0.779391 [27] validation_0-merror:0.35 validation_0-mlogloss:0.777017 [28] validation_0-merror:0.35 validation_0-mlogloss:0.779989 [29] validation_0-merror:0.35 validation_0-mlogloss:0.779292 [30] validation_0-merror:0.35 validation_0-mlogloss:0.777296 [31] validation_0-merror:0.35 validation_0-mlogloss:0.78014 [32] validation_0-merror:0.35 validation_0-mlogloss:0.780866 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.777017 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03251 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00118 [3] validation_0-merror:0.35 validation_0-mlogloss:0.978813 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948707 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934771 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914753 [7] validation_0-merror:0.3 validation_0-mlogloss:0.901656 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.881112 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868057 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854673 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843307 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827798 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81771 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80157 [15] validation_0-merror:0.3 validation_0-mlogloss:0.797951 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790785 [17] validation_0-merror:0.3 validation_0-mlogloss:0.784468 [18] validation_0-merror:0.3 validation_0-mlogloss:0.776325 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769094 [20] validation_0-merror:0.3 validation_0-mlogloss:0.771009 [21] validation_0-merror:0.3 validation_0-mlogloss:0.769453 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766955 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75981 [24] validation_0-merror:0.3 validation_0-mlogloss:0.755946 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754503 [26] validation_0-merror:0.3 validation_0-mlogloss:0.750206 [27] validation_0-merror:0.3 validation_0-mlogloss:0.748621 [28] validation_0-merror:0.3 validation_0-mlogloss:0.747537 [29] validation_0-merror:0.3 validation_0-mlogloss:0.743525 [30] validation_0-merror:0.3 validation_0-mlogloss:0.746381 [31] validation_0-merror:0.3 validation_0-mlogloss:0.747274 [32] validation_0-merror:0.3 validation_0-mlogloss:0.743273 [33] validation_0-merror:0.3 validation_0-mlogloss:0.747013 [34] validation_0-merror:0.3 validation_0-mlogloss:0.746853 [35] validation_0-merror:0.3 validation_0-mlogloss:0.74953 [36] validation_0-merror:0.3 validation_0-mlogloss:0.748418 [37] validation_0-merror:0.3 validation_0-mlogloss:0.74827 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.743273 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05741 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02493 [2] validation_0-merror:0.3 validation_0-mlogloss:0.992807 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970118 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.940441 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914421 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897638 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884141 [8] validation_0-merror:0.3 validation_0-mlogloss:0.869836 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.855699 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.846151 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834627 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815336 [13] validation_0-merror:0.35 validation_0-mlogloss:0.800919 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793068 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787259 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777057 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768612 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760167 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750677 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744602 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.739554 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734195 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.732982 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.730188 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.726084 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.723131 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72115 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720462 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.714995 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.713449 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71303 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.709348 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.706087 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704417 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70564 [36] validation_0-merror:0.3 validation_0-mlogloss:0.705768 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.706163 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.704981 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.704874 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.704417 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03147 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00137 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.983252 [4] validation_0-merror:0.4 validation_0-mlogloss:0.962961 [5] validation_0-merror:0.4 validation_0-mlogloss:0.940056 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.92535 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91979 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.907906 [9] validation_0-merror:0.35 validation_0-mlogloss:0.896745 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.884576 [11] validation_0-merror:0.35 validation_0-mlogloss:0.86779 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.854447 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.84143 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.831119 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.822658 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.815791 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.810402 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.806628 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.8008 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.798319 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.79667 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793162 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.791505 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.787979 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.784673 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.784986 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.787342 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.786897 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.789133 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.795014 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.784673 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05782 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03136 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00058 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980802 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954772 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.931685 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.918441 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.907907 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889363 [9] validation_0-merror:0.35 validation_0-mlogloss:0.874341 [10] validation_0-merror:0.35 validation_0-mlogloss:0.862308 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845946 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824273 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812349 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808078 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.798478 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788869 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.783045 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776313 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768533 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764101 [22] validation_0-merror:0.3 validation_0-mlogloss:0.75974 [23] validation_0-merror:0.3 validation_0-mlogloss:0.755723 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74989 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742854 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741443 [27] validation_0-merror:0.3 validation_0-mlogloss:0.7378 [28] validation_0-merror:0.3 validation_0-mlogloss:0.733461 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732238 [30] validation_0-merror:0.3 validation_0-mlogloss:0.732055 [31] validation_0-merror:0.3 validation_0-mlogloss:0.732911 [32] validation_0-merror:0.3 validation_0-mlogloss:0.732784 [33] validation_0-merror:0.3 validation_0-mlogloss:0.731639 [34] validation_0-merror:0.3 validation_0-mlogloss:0.729265 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726548 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728068 [37] validation_0-merror:0.3 validation_0-mlogloss:0.729095 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727561 [39] validation_0-merror:0.3 validation_0-mlogloss:0.72902 [40] validation_0-merror:0.3 validation_0-mlogloss:0.72718 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.726548 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0275 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998181 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972454 [4] validation_0-merror:0.4 validation_0-mlogloss:0.962578 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938503 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.921567 [7] validation_0-merror:0.35 validation_0-mlogloss:0.904966 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889743 [9] validation_0-merror:0.4 validation_0-mlogloss:0.872799 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862474 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.850453 [12] validation_0-merror:0.35 validation_0-mlogloss:0.837538 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.825392 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.818386 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.816662 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.804199 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791179 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78699 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782073 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771617 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764592 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755882 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748738 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.740533 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.739169 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.730674 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721745 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715235 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710367 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70614 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699782 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700912 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698047 [34] validation_0-merror:0.3 validation_0-mlogloss:0.697705 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.695097 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69489 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692577 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.693991 [39] validation_0-merror:0.3 validation_0-mlogloss:0.691423 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.691867 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.69277 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.691209 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.687603 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.688241 [45] validation_0-merror:0.3 validation_0-mlogloss:0.68754 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.687846 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.684924 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.681892 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.683897 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681183 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.684807 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.68628 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.685542 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.684779 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.684879 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681183 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03326 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997506 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976679 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942886 [5] validation_0-merror:0.35 validation_0-mlogloss:0.922417 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901758 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887229 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.867805 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850731 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.832483 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823059 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.818926 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809126 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.804133 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.793781 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786179 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.781818 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776956 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772412 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766398 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76074 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.758925 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.75895 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.758826 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758228 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755604 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751308 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750649 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749912 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.751087 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749206 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74273 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739553 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.743836 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.749857 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.745271 [37] validation_0-merror:0.35 validation_0-mlogloss:0.744071 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.745573 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739553 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06779 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03862 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00138 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.97908 [4] validation_0-merror:0.3 validation_0-mlogloss:0.9508 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.925017 [6] validation_0-merror:0.3 validation_0-mlogloss:0.907752 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.89442 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.880154 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.867453 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849244 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840877 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.828443 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813398 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801113 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799532 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792293 [17] validation_0-merror:0.3 validation_0-mlogloss:0.788208 [18] validation_0-merror:0.3 validation_0-mlogloss:0.780818 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.779152 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774506 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768554 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76454 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757839 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.754701 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751412 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746156 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738084 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737718 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.734048 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730897 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.728878 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.72488 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72444 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.721911 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.725024 [36] validation_0-merror:0.3 validation_0-mlogloss:0.721148 [37] validation_0-merror:0.3 validation_0-mlogloss:0.71994 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717069 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.715215 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.709923 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.706581 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.708981 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.705203 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.706076 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.705953 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.703895 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.704665 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.70768 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.707654 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.704691 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.70351 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.699423 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.699301 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.702225 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.699538 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.699865 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.697437 [58] validation_0-merror:0.333333 validation_0-mlogloss:0.69624 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.700842 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.703045 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.702559 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.705547 [63] validation_0-merror:0.3 validation_0-mlogloss:0.70539 Stopping. Best iteration: [58] validation_0-merror:0.333333 validation_0-mlogloss:0.69624 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01415 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983793 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957044 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.952428 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.920961 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.9047 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887065 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867051 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.849576 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836841 [11] validation_0-merror:0.35 validation_0-mlogloss:0.82673 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813269 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798279 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788051 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784642 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774467 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764074 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758517 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.75391 [20] validation_0-merror:0.3 validation_0-mlogloss:0.7454 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742655 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735026 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727159 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.718814 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717249 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710857 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.709075 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702003 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699781 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697433 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690919 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.68687 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.684475 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682001 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679144 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.677567 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.679052 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.681012 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.678222 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675083 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.671299 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.668224 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66574 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.663581 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.661886 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662897 [47] validation_0-merror:0.3 validation_0-mlogloss:0.661793 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660967 [49] validation_0-merror:0.3 validation_0-mlogloss:0.661968 [50] validation_0-merror:0.3 validation_0-mlogloss:0.662595 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664195 [52] validation_0-merror:0.3 validation_0-mlogloss:0.663924 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668171 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.660967 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06169 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03283 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.35 validation_0-mlogloss:0.973792 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942937 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9218 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906524 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891696 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867987 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851364 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840738 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832719 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825158 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817167 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815151 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80707 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804837 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800627 [18] validation_0-merror:0.35 validation_0-mlogloss:0.797885 [19] validation_0-merror:0.35 validation_0-mlogloss:0.796896 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.792772 [21] validation_0-merror:0.35 validation_0-mlogloss:0.790275 [22] validation_0-merror:0.35 validation_0-mlogloss:0.7847 [23] validation_0-merror:0.35 validation_0-mlogloss:0.779975 [24] validation_0-merror:0.35 validation_0-mlogloss:0.779285 [25] validation_0-merror:0.35 validation_0-mlogloss:0.778899 [26] validation_0-merror:0.35 validation_0-mlogloss:0.77592 [27] validation_0-merror:0.35 validation_0-mlogloss:0.774594 [28] validation_0-merror:0.35 validation_0-mlogloss:0.775613 [29] validation_0-merror:0.35 validation_0-mlogloss:0.77466 [30] validation_0-merror:0.35 validation_0-mlogloss:0.77545 [31] validation_0-merror:0.35 validation_0-mlogloss:0.776227 [32] validation_0-merror:0.35 validation_0-mlogloss:0.776182 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.774594 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06315 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03597 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9775 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944935 [5] validation_0-merror:0.25 validation_0-mlogloss:0.922643 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.903874 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.889228 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873641 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.859779 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843836 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.832335 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.818312 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.806808 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.79277 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.78851 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.783956 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.777595 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768635 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763489 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.763299 [21] validation_0-merror:0.3 validation_0-mlogloss:0.760827 [22] validation_0-merror:0.3 validation_0-mlogloss:0.757013 [23] validation_0-merror:0.3 validation_0-mlogloss:0.751483 [24] validation_0-merror:0.3 validation_0-mlogloss:0.747357 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744445 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742474 [27] validation_0-merror:0.3 validation_0-mlogloss:0.738412 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.734816 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.72946 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.730546 [31] validation_0-merror:0.3 validation_0-mlogloss:0.728951 [32] validation_0-merror:0.3 validation_0-mlogloss:0.724605 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.727085 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.727349 [35] validation_0-merror:0.3 validation_0-mlogloss:0.729416 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728732 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.729623 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.724605 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02425 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992881 [3] validation_0-merror:0.3 validation_0-mlogloss:0.966365 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93967 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914611 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897668 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887658 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869228 [9] validation_0-merror:0.4 validation_0-mlogloss:0.859459 [10] validation_0-merror:0.35 validation_0-mlogloss:0.848938 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831266 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810248 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799602 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790278 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778241 [16] validation_0-merror:0.35 validation_0-mlogloss:0.76939 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761949 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.751769 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741532 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.735 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731516 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726387 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723809 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719214 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714611 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.711005 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707843 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706317 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.700998 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.696943 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.69202 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.690624 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.686353 [34] validation_0-merror:0.3 validation_0-mlogloss:0.685115 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.686156 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.68498 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.683879 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682962 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682688 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.684903 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.685059 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.686553 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.68584 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.688972 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682688 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05867 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03104 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999346 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981718 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.956869 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.935491 [6] validation_0-merror:0.4 validation_0-mlogloss:0.919742 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911273 [8] validation_0-merror:0.35 validation_0-mlogloss:0.899468 [9] validation_0-merror:0.35 validation_0-mlogloss:0.888094 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.878948 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864163 [12] validation_0-merror:0.35 validation_0-mlogloss:0.850766 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839576 [14] validation_0-merror:0.35 validation_0-mlogloss:0.831711 [15] validation_0-merror:0.35 validation_0-mlogloss:0.821904 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.815586 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.813821 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.808281 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.80324 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.798469 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.794449 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.790499 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.786549 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.786168 [25] validation_0-merror:0.35 validation_0-mlogloss:0.785687 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.784802 [27] validation_0-merror:0.35 validation_0-mlogloss:0.78422 [28] validation_0-merror:0.35 validation_0-mlogloss:0.783938 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.782963 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.786741 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.789142 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.787242 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.788614 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.788435 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.782963 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06341 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0323 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997709 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979482 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956942 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933542 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.91699 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.903969 [8] validation_0-merror:0.3 validation_0-mlogloss:0.885271 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868714 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851318 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836256 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.818277 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807368 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800501 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790767 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776503 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769799 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767194 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758865 [20] validation_0-merror:0.35 validation_0-mlogloss:0.754099 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754162 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747679 [23] validation_0-merror:0.35 validation_0-mlogloss:0.739613 [24] validation_0-merror:0.35 validation_0-mlogloss:0.732394 [25] validation_0-merror:0.35 validation_0-mlogloss:0.726662 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.725615 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.721494 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.715969 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.71456 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.714886 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.714864 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.70885 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.707245 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.707228 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.70472 [36] validation_0-merror:0.3 validation_0-mlogloss:0.709181 [37] validation_0-merror:0.3 validation_0-mlogloss:0.710541 [38] validation_0-merror:0.3 validation_0-mlogloss:0.708801 [39] validation_0-merror:0.3 validation_0-mlogloss:0.707977 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703503 [41] validation_0-merror:0.3 validation_0-mlogloss:0.703675 [42] validation_0-merror:0.3 validation_0-mlogloss:0.70094 [43] validation_0-merror:0.3 validation_0-mlogloss:0.699519 [44] validation_0-merror:0.3 validation_0-mlogloss:0.703021 [45] validation_0-merror:0.3 validation_0-mlogloss:0.701074 [46] validation_0-merror:0.3 validation_0-mlogloss:0.70173 [47] validation_0-merror:0.3 validation_0-mlogloss:0.703006 [48] validation_0-merror:0.3 validation_0-mlogloss:0.703308 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.699519 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02989 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996512 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970771 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962002 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935071 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91673 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901679 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886518 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.869788 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.857255 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841722 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828251 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813702 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807835 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805849 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.795073 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78344 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779197 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772365 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763002 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755337 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748271 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744767 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733861 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733459 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726913 [27] validation_0-merror:0.3 validation_0-mlogloss:0.723492 [28] validation_0-merror:0.3 validation_0-mlogloss:0.7184 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.714304 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708335 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705558 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705643 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.703555 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704841 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701933 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703681 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699652 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700098 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697962 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.700821 [41] validation_0-merror:0.3 validation_0-mlogloss:0.70176 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69957 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.696503 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695689 [45] validation_0-merror:0.3 validation_0-mlogloss:0.69355 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694377 [47] validation_0-merror:0.3 validation_0-mlogloss:0.690845 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688188 [49] validation_0-merror:0.3 validation_0-mlogloss:0.69032 [50] validation_0-merror:0.3 validation_0-mlogloss:0.688655 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.691058 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690611 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.692416 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.688188 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.04322 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00721 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981928 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949778 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.929684 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910077 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890945 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873556 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857637 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.841701 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832605 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827846 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.818629 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.812869 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805832 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800271 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793704 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786683 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781118 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774917 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768409 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767157 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.76516 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765864 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.762866 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76158 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758369 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755087 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752687 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753803 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75026 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.748609 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74813 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.75048 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.752014 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74771 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.752803 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.752333 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.751361 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.748493 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.745274 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.745961 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.743909 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.74183 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.744234 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.744934 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.744636 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748779 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.747903 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.74183 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.07022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04127 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00255 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981355 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955909 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.933095 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.897767 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.88299 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870768 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849556 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838512 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825599 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809507 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797624 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797877 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.792332 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785853 [18] validation_0-merror:0.3 validation_0-mlogloss:0.77249 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.768596 [20] validation_0-merror:0.3 validation_0-mlogloss:0.762588 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753662 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750758 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740856 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.739653 [25] validation_0-merror:0.3 validation_0-mlogloss:0.735024 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72985 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724693 [28] validation_0-merror:0.3 validation_0-mlogloss:0.721442 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717288 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.711734 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706588 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705771 [33] validation_0-merror:0.3 validation_0-mlogloss:0.7062 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703672 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702689 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697727 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69707 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694381 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690743 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684889 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.682723 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.683972 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.680555 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679471 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676632 [46] validation_0-merror:0.3 validation_0-mlogloss:0.677566 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678222 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682987 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682726 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680128 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676632 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01287 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987917 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957243 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949279 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917874 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896776 [7] validation_0-merror:0.35 validation_0-mlogloss:0.879748 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864312 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844965 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831541 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817468 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805531 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796594 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788028 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785543 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771446 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.759975 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.755715 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751282 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.740102 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.737167 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.727404 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.722635 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.714736 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712702 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706947 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706384 [28] validation_0-merror:0.3 validation_0-mlogloss:0.702798 [29] validation_0-merror:0.3 validation_0-mlogloss:0.698473 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695681 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690592 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.685839 [33] validation_0-merror:0.3 validation_0-mlogloss:0.683038 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.679936 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673782 [36] validation_0-merror:0.3 validation_0-mlogloss:0.671769 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.670451 [38] validation_0-merror:0.3 validation_0-mlogloss:0.671916 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668589 [40] validation_0-merror:0.3 validation_0-mlogloss:0.670537 [41] validation_0-merror:0.3 validation_0-mlogloss:0.664884 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665648 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.662993 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.66184 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.660044 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.65801 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.655059 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.652782 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.652552 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653274 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.654888 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.654388 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.657439 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.658735 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.652552 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06326 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0303 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999959 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.967098 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935827 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916795 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901796 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.88545 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.861419 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.847285 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837384 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829103 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82488 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817012 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814393 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805283 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.8026 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.795405 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790842 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.790809 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.7836 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.780093 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.774396 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772979 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.774347 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772105 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.767559 [27] validation_0-merror:0.35 validation_0-mlogloss:0.767272 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765383 [29] validation_0-merror:0.35 validation_0-mlogloss:0.764258 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763413 [31] validation_0-merror:0.35 validation_0-mlogloss:0.766074 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767021 [33] validation_0-merror:0.35 validation_0-mlogloss:0.76757 [34] validation_0-merror:0.35 validation_0-mlogloss:0.767521 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.767988 Stopping. Best iteration: [30] validation_0-merror:0.35 validation_0-mlogloss:0.763413 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03729 [2] validation_0-merror:0.3 validation_0-mlogloss:1.0047 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976484 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947373 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924426 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.906312 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892219 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.873704 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.859853 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.846563 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.834245 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.821894 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.810054 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.801222 [15] validation_0-merror:0.3 validation_0-mlogloss:0.797633 [16] validation_0-merror:0.3 validation_0-mlogloss:0.793095 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.785148 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.778214 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.77044 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.767911 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.765038 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.757459 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.748197 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.74724 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742538 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.740002 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735029 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.733272 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.727603 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.73053 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.725131 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.719948 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.72613 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.723499 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.723265 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.719712 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.719125 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.718141 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.717491 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.713956 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.712827 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.712726 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.714372 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.717894 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.713936 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.709738 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.708714 [48] validation_0-merror:0.3 validation_0-mlogloss:0.708783 [49] validation_0-merror:0.3 validation_0-mlogloss:0.711019 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708011 [51] validation_0-merror:0.3 validation_0-mlogloss:0.709411 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.707432 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.705455 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.710097 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.708217 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.706245 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.706038 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.704905 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.705875 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.705962 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.710616 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.71451 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.715835 Stopping. Best iteration: [58] validation_0-merror:0.283333 validation_0-mlogloss:0.704905 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05774 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02501 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993676 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969841 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941365 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.916052 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897271 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886496 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.867749 [9] validation_0-merror:0.35 validation_0-mlogloss:0.856425 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842988 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826545 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807892 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794743 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785587 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776451 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770345 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762525 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75192 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.744306 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.73874 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.73141 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.727255 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.720829 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.718872 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716433 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713287 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.712897 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.708151 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707709 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702514 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702107 [33] validation_0-merror:0.3 validation_0-mlogloss:0.699023 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700288 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699601 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699929 [37] validation_0-merror:0.3 validation_0-mlogloss:0.699978 [38] validation_0-merror:0.3 validation_0-mlogloss:0.699758 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.699023 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05814 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02997 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00055 [3] validation_0-merror:0.4 validation_0-mlogloss:0.982139 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952768 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.932666 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918263 [7] validation_0-merror:0.4 validation_0-mlogloss:0.913383 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.90363 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.892703 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.881097 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.870925 [12] validation_0-merror:0.4 validation_0-mlogloss:0.857294 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845951 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.839186 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.830057 [16] validation_0-merror:0.4 validation_0-mlogloss:0.822061 [17] validation_0-merror:0.4 validation_0-mlogloss:0.818377 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.813363 [19] validation_0-merror:0.4 validation_0-mlogloss:0.809664 [20] validation_0-merror:0.4 validation_0-mlogloss:0.807695 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.80538 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.802069 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.802976 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.800873 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.798539 [26] validation_0-merror:0.4 validation_0-mlogloss:0.799026 [27] validation_0-merror:0.4 validation_0-mlogloss:0.80098 [28] validation_0-merror:0.4 validation_0-mlogloss:0.800183 [29] validation_0-merror:0.4 validation_0-mlogloss:0.798527 [30] validation_0-merror:0.4 validation_0-mlogloss:0.801074 [31] validation_0-merror:0.4 validation_0-mlogloss:0.802151 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.801661 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.803626 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.803572 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.798527 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06369 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03104 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.978671 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956017 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929409 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.913826 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.900863 [8] validation_0-merror:0.3 validation_0-mlogloss:0.884625 [9] validation_0-merror:0.3 validation_0-mlogloss:0.87093 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852491 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.835014 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819086 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808009 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.803192 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794273 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778964 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769632 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763593 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754728 [20] validation_0-merror:0.3 validation_0-mlogloss:0.753419 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752542 [22] validation_0-merror:0.3 validation_0-mlogloss:0.743613 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734124 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.727669 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.722848 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.722283 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.719022 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713112 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.711052 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710476 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.711677 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711971 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710998 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.7105 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.709248 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.711895 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.714811 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712897 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.713124 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.710906 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.709248 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.940185 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920968 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.903699 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886441 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870131 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.856125 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.840842 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827807 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814519 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804707 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802591 [16] validation_0-merror:0.35 validation_0-mlogloss:0.790148 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778858 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776184 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771543 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.760886 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753534 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75003 [23] validation_0-merror:0.35 validation_0-mlogloss:0.745089 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.734195 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734288 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.727397 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.725249 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718148 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715076 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711742 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707711 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.706637 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70388 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.703303 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699424 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699662 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.70152 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.703798 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.702162 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.705144 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699424 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06457 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04173 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00733 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982999 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949739 [5] validation_0-merror:0.4 validation_0-mlogloss:0.931661 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913235 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.897014 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880495 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.865393 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.847954 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.837511 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831124 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820128 [14] validation_0-merror:0.4 validation_0-mlogloss:0.813476 [15] validation_0-merror:0.4 validation_0-mlogloss:0.805764 [16] validation_0-merror:0.4 validation_0-mlogloss:0.800575 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790905 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785512 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779269 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777311 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772695 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771231 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.768986 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.767655 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765964 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764675 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762243 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.759902 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.759667 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.759299 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757152 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756288 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.756614 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.758967 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.756362 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.754023 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.753352 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.75361 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.754203 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.751935 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.748189 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.748384 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.747267 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.746018 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.741807 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.742578 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.738895 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.739845 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.739433 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.735235 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.736618 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.735404 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.736294 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.743116 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.74431 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.735235 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0657 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03649 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997903 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954021 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.929258 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912949 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899386 [8] validation_0-merror:0.3 validation_0-mlogloss:0.88148 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868967 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849789 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836606 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825027 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810822 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799692 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79879 [16] validation_0-merror:0.3 validation_0-mlogloss:0.793604 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788404 [18] validation_0-merror:0.3 validation_0-mlogloss:0.781446 [19] validation_0-merror:0.3 validation_0-mlogloss:0.777448 [20] validation_0-merror:0.3 validation_0-mlogloss:0.77123 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766056 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765336 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.759122 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.758525 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756347 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750602 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742669 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741182 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73651 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.732945 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72954 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728588 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.728473 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.726403 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724613 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.718738 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719404 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.71631 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.71416 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.707949 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.705867 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.706911 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702662 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698498 [45] validation_0-merror:0.3 validation_0-mlogloss:0.695148 [46] validation_0-merror:0.3 validation_0-mlogloss:0.695809 [47] validation_0-merror:0.3 validation_0-mlogloss:0.696621 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695201 [49] validation_0-merror:0.3 validation_0-mlogloss:0.696528 [50] validation_0-merror:0.3 validation_0-mlogloss:0.692298 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.6906 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686705 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.688074 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.693416 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.691102 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.692274 [57] validation_0-merror:0.3 validation_0-mlogloss:0.691421 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686705 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985919 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957662 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948773 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920801 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904806 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885806 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869105 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.846463 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.833412 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820999 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807466 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797537 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789503 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785514 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775639 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763934 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759112 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753811 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746239 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74329 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.733705 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.72892 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.720614 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.719115 [26] validation_0-merror:0.3 validation_0-mlogloss:0.713844 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713295 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710698 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70849 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705868 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702514 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.698375 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696591 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.694923 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.689732 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.687644 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.683605 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685674 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683488 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685235 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.681104 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680248 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679147 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677214 [45] validation_0-merror:0.3 validation_0-mlogloss:0.672995 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671139 [47] validation_0-merror:0.3 validation_0-mlogloss:0.668801 [48] validation_0-merror:0.3 validation_0-mlogloss:0.667166 [49] validation_0-merror:0.3 validation_0-mlogloss:0.666265 [50] validation_0-merror:0.3 validation_0-mlogloss:0.666812 [51] validation_0-merror:0.3 validation_0-mlogloss:0.668223 [52] validation_0-merror:0.3 validation_0-mlogloss:0.667546 [53] validation_0-merror:0.3 validation_0-mlogloss:0.67051 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.672233 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.666265 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06353 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03102 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00114 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97188 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942677 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.92432 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908942 [7] validation_0-merror:0.4 validation_0-mlogloss:0.892931 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871663 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856784 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.844091 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833439 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828085 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.820333 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.817092 [15] validation_0-merror:0.4 validation_0-mlogloss:0.810938 [16] validation_0-merror:0.4 validation_0-mlogloss:0.8094 [17] validation_0-merror:0.4 validation_0-mlogloss:0.8031 [18] validation_0-merror:0.4 validation_0-mlogloss:0.797043 [19] validation_0-merror:0.4 validation_0-mlogloss:0.793926 [20] validation_0-merror:0.4 validation_0-mlogloss:0.792211 [21] validation_0-merror:0.4 validation_0-mlogloss:0.786721 [22] validation_0-merror:0.4 validation_0-mlogloss:0.782742 [23] validation_0-merror:0.4 validation_0-mlogloss:0.779396 [24] validation_0-merror:0.4 validation_0-mlogloss:0.780582 [25] validation_0-merror:0.4 validation_0-mlogloss:0.778664 [26] validation_0-merror:0.4 validation_0-mlogloss:0.774308 [27] validation_0-merror:0.4 validation_0-mlogloss:0.770422 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.767153 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.765921 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.767466 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.76642 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.765011 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.766366 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.765249 [35] validation_0-merror:0.4 validation_0-mlogloss:0.765654 [36] validation_0-merror:0.4 validation_0-mlogloss:0.767075 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.769571 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.765011 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03873 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.0097 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.982144 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.961126 [5] validation_0-merror:0.3 validation_0-mlogloss:0.938207 [6] validation_0-merror:0.3 validation_0-mlogloss:0.918654 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.905555 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.88799 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870971 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.858048 [11] validation_0-merror:0.3 validation_0-mlogloss:0.846098 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.832164 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820608 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812601 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807983 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80296 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.796122 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.789311 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780305 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778414 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776952 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770905 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763317 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763895 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756753 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756998 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750525 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748019 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.743155 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746063 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.740038 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735948 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.737508 [34] validation_0-merror:0.3 validation_0-mlogloss:0.733532 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.735486 [36] validation_0-merror:0.3 validation_0-mlogloss:0.734599 [37] validation_0-merror:0.3 validation_0-mlogloss:0.734319 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732957 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.733238 [40] validation_0-merror:0.3 validation_0-mlogloss:0.728003 [41] validation_0-merror:0.3 validation_0-mlogloss:0.726341 [42] validation_0-merror:0.3 validation_0-mlogloss:0.726858 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.727805 [44] validation_0-merror:0.3 validation_0-mlogloss:0.727856 [45] validation_0-merror:0.3 validation_0-mlogloss:0.724574 [46] validation_0-merror:0.3 validation_0-mlogloss:0.719911 [47] validation_0-merror:0.3 validation_0-mlogloss:0.720051 [48] validation_0-merror:0.3 validation_0-mlogloss:0.722945 [49] validation_0-merror:0.3 validation_0-mlogloss:0.728024 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.727959 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.72908 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.719911 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02554 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993599 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96823 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940036 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917497 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896856 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882786 [8] validation_0-merror:0.3 validation_0-mlogloss:0.863863 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852138 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839987 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822442 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803873 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782819 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77269 [16] validation_0-merror:0.3 validation_0-mlogloss:0.764758 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.755964 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.745784 [19] validation_0-merror:0.3 validation_0-mlogloss:0.737302 [20] validation_0-merror:0.3 validation_0-mlogloss:0.730788 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.727261 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.720236 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716708 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.711661 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.705913 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703533 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.698488 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696788 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692951 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690957 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685313 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684594 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680682 [34] validation_0-merror:0.3 validation_0-mlogloss:0.682495 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682055 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681363 [37] validation_0-merror:0.3 validation_0-mlogloss:0.680573 [38] validation_0-merror:0.3 validation_0-mlogloss:0.681452 [39] validation_0-merror:0.3 validation_0-mlogloss:0.681231 [40] validation_0-merror:0.3 validation_0-mlogloss:0.685132 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685918 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685929 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.680573 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03221 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0017 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.985977 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95773 [5] validation_0-merror:0.4 validation_0-mlogloss:0.936077 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.921846 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.915209 [8] validation_0-merror:0.4 validation_0-mlogloss:0.906826 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.89435 [10] validation_0-merror:0.4 validation_0-mlogloss:0.881541 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.871895 [12] validation_0-merror:0.4 validation_0-mlogloss:0.858086 [13] validation_0-merror:0.4 validation_0-mlogloss:0.846482 [14] validation_0-merror:0.4 validation_0-mlogloss:0.838289 [15] validation_0-merror:0.4 validation_0-mlogloss:0.829787 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.822568 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.819126 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.814328 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.81321 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.807569 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.805619 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.802066 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.798367 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.795129 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.793288 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.790651 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.793369 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.792721 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.790497 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.794139 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.797282 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.797522 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.798244 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.798444 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.790497 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06524 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0308 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00014 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980768 [4] validation_0-merror:0.35 validation_0-mlogloss:0.95609 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92657 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911132 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901899 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.882476 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866453 [10] validation_0-merror:0.3 validation_0-mlogloss:0.847963 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830914 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813246 [13] validation_0-merror:0.3 validation_0-mlogloss:0.801566 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794413 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786923 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773256 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763282 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760351 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750058 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743222 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741876 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734371 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726382 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722548 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717369 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716154 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.708363 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702498 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.70097 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699356 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697521 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696971 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692828 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695159 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697063 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696042 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695005 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692971 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692828 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05726 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02672 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00005 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970093 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.962484 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941913 [6] validation_0-merror:0.35 validation_0-mlogloss:0.924615 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.909442 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.888094 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859473 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845054 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.832724 [13] validation_0-merror:0.3 validation_0-mlogloss:0.823359 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812038 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.807477 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794792 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.782546 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.776856 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772352 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.764439 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.757693 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.750501 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74397 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732051 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724935 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710236 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.704224 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.701387 [29] validation_0-merror:0.25 validation_0-mlogloss:0.694665 [30] validation_0-merror:0.25 validation_0-mlogloss:0.690829 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.686997 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.682445 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.679344 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.679165 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.678263 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.676744 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.672063 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.672925 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.668504 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.669243 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.6705 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665135 [43] validation_0-merror:0.3 validation_0-mlogloss:0.664247 [44] validation_0-merror:0.3 validation_0-mlogloss:0.66019 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.656601 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656268 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654527 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65347 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.655866 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.652293 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.653266 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.654461 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.658103 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.657078 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.655262 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.652293 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04005 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00421 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983026 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.954007 [5] validation_0-merror:0.4 validation_0-mlogloss:0.932684 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.911895 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89587 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.875726 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859103 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842358 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830482 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.823796 [13] validation_0-merror:0.35 validation_0-mlogloss:0.816267 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809338 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80054 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.794128 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788374 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784797 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.776131 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773607 [21] validation_0-merror:0.35 validation_0-mlogloss:0.766682 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765634 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760832 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759022 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75583 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752022 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.748436 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741805 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740571 [30] validation_0-merror:0.35 validation_0-mlogloss:0.740675 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.736808 [32] validation_0-merror:0.35 validation_0-mlogloss:0.73498 [33] validation_0-merror:0.35 validation_0-mlogloss:0.731761 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.735259 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.73489 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.728157 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.729213 [38] validation_0-merror:0.35 validation_0-mlogloss:0.727588 [39] validation_0-merror:0.35 validation_0-mlogloss:0.72588 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.724384 [41] validation_0-merror:0.35 validation_0-mlogloss:0.723437 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.723103 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718644 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.717075 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.718744 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.721961 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.718908 [48] validation_0-merror:0.35 validation_0-mlogloss:0.720891 [49] validation_0-merror:0.35 validation_0-mlogloss:0.728751 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.717075 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0702 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04471 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00802 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.990692 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.960912 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936933 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.917837 [7] validation_0-merror:0.35 validation_0-mlogloss:0.90026 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879933 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.867857 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.847077 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.83385 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819437 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801252 [14] validation_0-merror:0.3 validation_0-mlogloss:0.785126 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.779313 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769091 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765522 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.753536 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.747135 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.742854 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.735477 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729115 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.721967 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.7198 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.715603 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71159 [27] validation_0-merror:0.3 validation_0-mlogloss:0.70621 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700365 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694427 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686615 [31] validation_0-merror:0.3 validation_0-mlogloss:0.683628 [32] validation_0-merror:0.3 validation_0-mlogloss:0.679463 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680428 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.677856 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67652 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670106 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669281 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667903 [39] validation_0-merror:0.3 validation_0-mlogloss:0.666274 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.663297 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.657496 [42] validation_0-merror:0.3 validation_0-mlogloss:0.656829 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.650915 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.648466 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.647373 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.648779 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.648962 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.648537 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.647024 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.648173 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.647515 [52] validation_0-merror:0.3 validation_0-mlogloss:0.641692 [53] validation_0-merror:0.3 validation_0-mlogloss:0.64356 [54] validation_0-merror:0.3 validation_0-mlogloss:0.64683 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.644361 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.646044 [57] validation_0-merror:0.3 validation_0-mlogloss:0.643774 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.641692 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05311 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01885 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992598 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963711 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955657 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928463 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908113 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890626 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872198 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853284 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839063 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82336 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809987 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800039 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79068 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783709 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774562 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764244 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758715 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751995 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745963 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741002 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729706 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.72462 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716378 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711443 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.703321 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.701187 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.698469 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694807 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.689965 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686372 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681948 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.677629 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.67508 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.672948 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.669031 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.670816 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674116 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671279 [40] validation_0-merror:0.3 validation_0-mlogloss:0.67218 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671371 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.669031 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06436 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03619 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00717 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979869 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952996 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930589 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.91408 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.899619 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879424 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864341 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853667 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845291 [12] validation_0-merror:0.35 validation_0-mlogloss:0.835767 [13] validation_0-merror:0.35 validation_0-mlogloss:0.826861 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817721 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808024 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805417 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801962 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.793867 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790817 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783908 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779469 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774772 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768403 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766671 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762067 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753977 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754221 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750193 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.747963 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745333 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.745945 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.742764 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.738196 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738252 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.735458 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.734711 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734968 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.733238 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732566 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.732724 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.732529 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.732322 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.730802 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.730223 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.726162 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.725535 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.725399 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.722365 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.724078 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.725749 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.727404 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.730781 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.731421 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.722365 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06927 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04446 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01187 [3] validation_0-merror:0.4 validation_0-mlogloss:0.988847 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.965723 [5] validation_0-merror:0.35 validation_0-mlogloss:0.945113 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911513 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.888025 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.872132 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.858835 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845672 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.83299 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822731 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811514 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803085 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79649 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.785969 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775231 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768212 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765694 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761694 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.753594 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746678 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.738399 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.733238 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.728854 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.723799 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.717105 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.711065 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.706808 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.704542 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.698581 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.700418 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.695274 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.69274 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.688144 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.685665 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.680677 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.679363 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.6766 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.675881 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.67409 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.671584 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.673219 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.670664 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.666871 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.667257 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.666941 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.669705 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.667741 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.666063 [52] validation_0-merror:0.3 validation_0-mlogloss:0.664779 [53] validation_0-merror:0.3 validation_0-mlogloss:0.667258 [54] validation_0-merror:0.3 validation_0-mlogloss:0.666357 [55] validation_0-merror:0.3 validation_0-mlogloss:0.665527 [56] validation_0-merror:0.3 validation_0-mlogloss:0.66302 [57] validation_0-merror:0.3 validation_0-mlogloss:0.660247 [58] validation_0-merror:0.3 validation_0-mlogloss:0.659117 [59] validation_0-merror:0.3 validation_0-mlogloss:0.656818 [60] validation_0-merror:0.3 validation_0-mlogloss:0.65277 [61] validation_0-merror:0.3 validation_0-mlogloss:0.653012 [62] validation_0-merror:0.3 validation_0-mlogloss:0.653805 [63] validation_0-merror:0.3 validation_0-mlogloss:0.65538 [64] validation_0-merror:0.3 validation_0-mlogloss:0.657432 [65] validation_0-merror:0.3 validation_0-mlogloss:0.6544 Stopping. Best iteration: [60] validation_0-merror:0.3 validation_0-mlogloss:0.65277 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02433 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993379 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970753 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941311 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917251 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901316 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890706 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876299 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.862143 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.848812 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835871 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.822599 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809083 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.799409 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786916 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779198 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769054 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759673 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750192 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743467 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738052 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731234 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727527 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724402 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719693 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717673 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715106 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713818 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708034 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703866 [31] validation_0-merror:0.3 validation_0-mlogloss:0.69935 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699216 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697383 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696395 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69373 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687208 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681994 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.680673 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67992 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678259 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.675528 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673625 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.670957 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.671466 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.670288 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.669339 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67094 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.668733 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.666964 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.667211 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.668096 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.667576 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.668444 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.667895 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.666964 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0324 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.4 validation_0-mlogloss:0.987192 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961958 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936442 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92171 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911402 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897534 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.883863 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870499 [11] validation_0-merror:0.35 validation_0-mlogloss:0.855375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.841011 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.828179 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820683 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.816872 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808566 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802375 [18] validation_0-merror:0.4 validation_0-mlogloss:0.796988 [19] validation_0-merror:0.4 validation_0-mlogloss:0.788644 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.785776 [21] validation_0-merror:0.4 validation_0-mlogloss:0.783286 [22] validation_0-merror:0.4 validation_0-mlogloss:0.780444 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775986 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772234 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769093 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.764629 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762103 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.758172 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756962 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.759091 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757811 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.751902 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750518 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744728 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740605 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74171 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742861 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737756 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.73835 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.737469 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.733927 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.73232 [43] validation_0-merror:0.35 validation_0-mlogloss:0.730004 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.729487 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.726948 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.730002 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.728317 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.727365 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.726615 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.725043 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.723681 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.723844 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.726321 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.725693 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.724383 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.723928 Stopping. Best iteration: [51] validation_0-merror:0.383333 validation_0-mlogloss:0.723681 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04155 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01652 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00152 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.985254 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.961206 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.946625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.935171 [8] validation_0-merror:0.35 validation_0-mlogloss:0.917596 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.902731 [10] validation_0-merror:0.35 validation_0-mlogloss:0.883005 [11] validation_0-merror:0.35 validation_0-mlogloss:0.868999 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.851613 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.841103 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.82895 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.823836 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812416 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803686 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792047 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781777 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.774064 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768645 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761161 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755038 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748215 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74289 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736727 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731651 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.725794 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.721303 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721816 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716562 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709711 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705351 [34] validation_0-merror:0.3 validation_0-mlogloss:0.702313 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698983 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69572 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.69191 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68824 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685729 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682432 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678787 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676506 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673309 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671747 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667846 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.667201 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665654 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661108 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.658124 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656226 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.654479 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.65334 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.652631 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.652632 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.653778 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.650761 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.64921 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.648383 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.648506 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.647468 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.646241 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.644535 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.644155 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.643584 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.64254 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.641942 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.6405 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.6387 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.639715 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.641949 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.641218 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.642403 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.642405 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.6387 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02446 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00217 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973142 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.964394 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.945688 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.930538 [7] validation_0-merror:0.35 validation_0-mlogloss:0.912778 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894663 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879073 [10] validation_0-merror:0.35 validation_0-mlogloss:0.86606 [11] validation_0-merror:0.3 validation_0-mlogloss:0.851451 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.838905 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.833366 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821578 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816209 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803513 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791763 [18] validation_0-merror:0.3 validation_0-mlogloss:0.7878 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77968 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770801 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.766003 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758927 [23] validation_0-merror:0.35 validation_0-mlogloss:0.752315 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740996 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735537 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723957 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717267 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710327 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700887 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.696687 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693995 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688423 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684165 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683063 [35] validation_0-merror:0.3 validation_0-mlogloss:0.680867 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679475 [37] validation_0-merror:0.3 validation_0-mlogloss:0.676391 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673752 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671099 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671968 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672517 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666511 [43] validation_0-merror:0.3 validation_0-mlogloss:0.664921 [44] validation_0-merror:0.3 validation_0-mlogloss:0.661231 [45] validation_0-merror:0.3 validation_0-mlogloss:0.656825 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.654687 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.652269 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.646916 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.649341 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.646165 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.648182 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.64957 [53] validation_0-merror:0.3 validation_0-mlogloss:0.652649 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.651881 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.650125 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.646165 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03976 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00399 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983579 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955402 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93462 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.913489 [7] validation_0-merror:0.4 validation_0-mlogloss:0.896674 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.877743 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.860156 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844483 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832248 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825923 [13] validation_0-merror:0.35 validation_0-mlogloss:0.816923 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.811017 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.801749 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795306 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789697 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785935 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778147 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775499 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76931 [22] validation_0-merror:0.35 validation_0-mlogloss:0.767706 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764127 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761576 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758391 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755662 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752876 [28] validation_0-merror:0.35 validation_0-mlogloss:0.750387 [29] validation_0-merror:0.35 validation_0-mlogloss:0.749022 [30] validation_0-merror:0.35 validation_0-mlogloss:0.748586 [31] validation_0-merror:0.35 validation_0-mlogloss:0.745256 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743552 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.740454 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744025 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.746539 [36] validation_0-merror:0.35 validation_0-mlogloss:0.741647 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742082 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.738899 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.737327 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.735465 [41] validation_0-merror:0.35 validation_0-mlogloss:0.734325 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.731754 [43] validation_0-merror:0.35 validation_0-mlogloss:0.728916 [44] validation_0-merror:0.35 validation_0-mlogloss:0.728728 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.729956 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735546 [47] validation_0-merror:0.35 validation_0-mlogloss:0.730777 [48] validation_0-merror:0.35 validation_0-mlogloss:0.731492 [49] validation_0-merror:0.35 validation_0-mlogloss:0.737075 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.728728 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06946 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04373 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.989784 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961438 [5] validation_0-merror:0.35 validation_0-mlogloss:0.937408 [6] validation_0-merror:0.3 validation_0-mlogloss:0.919469 [7] validation_0-merror:0.35 validation_0-mlogloss:0.902983 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88422 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.870355 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849391 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836197 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821903 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.803518 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.787659 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.781918 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.773151 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.769185 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.757274 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750838 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.746381 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.737508 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731056 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.723446 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.721857 [25] validation_0-merror:0.3 validation_0-mlogloss:0.718748 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710377 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704373 [28] validation_0-merror:0.3 validation_0-mlogloss:0.697961 [29] validation_0-merror:0.3 validation_0-mlogloss:0.693579 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.686536 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.682341 [32] validation_0-merror:0.3 validation_0-mlogloss:0.678021 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.679003 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.676684 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.678084 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.670436 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669269 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.668246 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.666469 [40] validation_0-merror:0.3 validation_0-mlogloss:0.662868 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.657767 [42] validation_0-merror:0.3 validation_0-mlogloss:0.660041 [43] validation_0-merror:0.3 validation_0-mlogloss:0.654551 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.651841 [45] validation_0-merror:0.25 validation_0-mlogloss:0.650542 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.654724 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.653436 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.651752 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.652115 [50] validation_0-merror:0.3 validation_0-mlogloss:0.652336 Stopping. Best iteration: [45] validation_0-merror:0.25 validation_0-mlogloss:0.650542 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01811 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.991785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962936 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954847 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928676 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905885 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.889106 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870694 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852717 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838507 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823934 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810909 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802584 [14] validation_0-merror:0.3 validation_0-mlogloss:0.792219 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78538 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77652 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765916 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759496 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753186 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746436 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.74058 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729354 [23] validation_0-merror:0.3 validation_0-mlogloss:0.725439 [24] validation_0-merror:0.3 validation_0-mlogloss:0.7169 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710476 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702515 [27] validation_0-merror:0.3 validation_0-mlogloss:0.700371 [28] validation_0-merror:0.3 validation_0-mlogloss:0.69748 [29] validation_0-merror:0.3 validation_0-mlogloss:0.693618 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.687651 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.682253 [32] validation_0-merror:0.25 validation_0-mlogloss:0.675067 [33] validation_0-merror:0.25 validation_0-mlogloss:0.672149 [34] validation_0-merror:0.25 validation_0-mlogloss:0.669353 [35] validation_0-merror:0.25 validation_0-mlogloss:0.666469 [36] validation_0-merror:0.25 validation_0-mlogloss:0.662048 [37] validation_0-merror:0.25 validation_0-mlogloss:0.663637 [38] validation_0-merror:0.25 validation_0-mlogloss:0.666085 [39] validation_0-merror:0.25 validation_0-mlogloss:0.663435 [40] validation_0-merror:0.25 validation_0-mlogloss:0.66383 [41] validation_0-merror:0.25 validation_0-mlogloss:0.662874 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.662048 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06455 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03634 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00671 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979224 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953014 [5] validation_0-merror:0.3 validation_0-mlogloss:0.930114 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913455 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899318 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879224 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864025 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853435 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.845136 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835842 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.827071 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817913 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808807 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805873 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801901 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.793 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790214 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783099 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779395 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774734 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768636 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767117 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762345 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755183 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755541 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754028 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751641 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751505 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751848 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748244 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.743302 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744977 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742094 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741695 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.7418 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.740501 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.740692 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.738927 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.741554 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.741107 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.73906 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.73788 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.736799 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735763 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.737839 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733519 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.737425 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.737782 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.739312 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.738371 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.738671 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733519 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.04111 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00945 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961854 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942788 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.925134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910981 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889733 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873623 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861209 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848962 [12] validation_0-merror:0.3 validation_0-mlogloss:0.835572 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825223 [14] validation_0-merror:0.35 validation_0-mlogloss:0.813685 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805428 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800346 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79224 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782764 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77576 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775346 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773609 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765283 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758966 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750466 [25] validation_0-merror:0.35 validation_0-mlogloss:0.744365 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.738347 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.733539 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726323 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720347 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.716564 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.713824 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.707431 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708079 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.702882 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700473 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696027 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6908 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.687325 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.684964 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.681435 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.682107 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.680414 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.678743 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.679253 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.678066 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.674019 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673907 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673431 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.675625 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675468 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.675354 [52] validation_0-merror:0.3 validation_0-mlogloss:0.673823 [53] validation_0-merror:0.3 validation_0-mlogloss:0.674942 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673431 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02327 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992351 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.969668 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941287 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916239 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901263 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890655 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876255 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863067 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850035 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83642 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821522 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808767 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799529 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787925 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778432 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768772 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759594 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750276 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74288 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738431 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732356 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728771 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.725908 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.721081 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.718404 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715842 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713702 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.708079 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704822 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.701342 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700135 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697568 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.69671 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.694982 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.690557 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.686171 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685625 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683729 [40] validation_0-merror:0.3 validation_0-mlogloss:0.683147 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681389 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678765 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.680174 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.680939 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.683668 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.682826 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.682868 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.678765 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06166 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00622 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985205 [4] validation_0-merror:0.4 validation_0-mlogloss:0.961256 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93559 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920402 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.909482 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.894399 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.880583 [10] validation_0-merror:0.4 validation_0-mlogloss:0.867074 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851762 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.836474 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816081 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812538 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803748 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796589 [18] validation_0-merror:0.4 validation_0-mlogloss:0.792997 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.78435 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778592 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776217 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771406 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765606 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760419 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.757298 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755378 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.751827 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748033 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.746539 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745881 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.748508 [32] validation_0-merror:0.35 validation_0-mlogloss:0.741466 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.740974 [34] validation_0-merror:0.35 validation_0-mlogloss:0.734815 [35] validation_0-merror:0.35 validation_0-mlogloss:0.733264 [36] validation_0-merror:0.35 validation_0-mlogloss:0.734589 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.736571 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.733967 [39] validation_0-merror:0.35 validation_0-mlogloss:0.731566 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.730133 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.728811 [42] validation_0-merror:0.35 validation_0-mlogloss:0.726694 [43] validation_0-merror:0.35 validation_0-mlogloss:0.72533 [44] validation_0-merror:0.35 validation_0-mlogloss:0.723823 [45] validation_0-merror:0.35 validation_0-mlogloss:0.725708 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.72612 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.727425 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.727821 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.729216 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.723823 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07283 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04079 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01534 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00047 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.978458 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954362 [6] validation_0-merror:0.35 validation_0-mlogloss:0.938961 [7] validation_0-merror:0.35 validation_0-mlogloss:0.927469 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.911015 [9] validation_0-merror:0.35 validation_0-mlogloss:0.89471 [10] validation_0-merror:0.35 validation_0-mlogloss:0.87492 [11] validation_0-merror:0.35 validation_0-mlogloss:0.85867 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.842522 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.831972 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82273 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818552 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807056 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798457 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789723 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779842 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773065 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767673 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760289 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752643 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745683 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740334 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733942 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730436 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724627 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720649 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.716178 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.714771 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708956 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.705652 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699314 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695578 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692137 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688705 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685633 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684803 [40] validation_0-merror:0.3 validation_0-mlogloss:0.680583 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679127 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677427 [43] validation_0-merror:0.3 validation_0-mlogloss:0.674833 [44] validation_0-merror:0.3 validation_0-mlogloss:0.673616 [45] validation_0-merror:0.3 validation_0-mlogloss:0.669654 [46] validation_0-merror:0.3 validation_0-mlogloss:0.668541 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666732 [48] validation_0-merror:0.3 validation_0-mlogloss:0.666091 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.664643 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662104 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661337 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.659507 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656176 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.655639 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.655086 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.653173 [57] validation_0-merror:0.3 validation_0-mlogloss:0.652499 [58] validation_0-merror:0.3 validation_0-mlogloss:0.650907 [59] validation_0-merror:0.3 validation_0-mlogloss:0.651982 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.648886 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.649296 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.646146 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.646759 [64] validation_0-merror:0.25 validation_0-mlogloss:0.645296 [65] validation_0-merror:0.25 validation_0-mlogloss:0.644281 [66] validation_0-merror:0.25 validation_0-mlogloss:0.642221 [67] validation_0-merror:0.25 validation_0-mlogloss:0.640823 [68] validation_0-merror:0.25 validation_0-mlogloss:0.641228 [69] validation_0-merror:0.25 validation_0-mlogloss:0.644537 [70] validation_0-merror:0.25 validation_0-mlogloss:0.642097 [71] validation_0-merror:0.25 validation_0-mlogloss:0.640853 [72] validation_0-merror:0.25 validation_0-mlogloss:0.642614 Stopping. Best iteration: [67] validation_0-merror:0.25 validation_0-mlogloss:0.640823 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.05973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03024 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00708 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.978927 [4] validation_0-merror:0.4 validation_0-mlogloss:0.970171 [5] validation_0-merror:0.4 validation_0-mlogloss:0.950777 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.935343 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.917739 [8] validation_0-merror:0.35 validation_0-mlogloss:0.896306 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.880408 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.867004 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851871 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839479 [13] validation_0-merror:0.35 validation_0-mlogloss:0.831087 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.819134 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816432 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804074 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792305 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786998 [19] validation_0-merror:0.3 validation_0-mlogloss:0.778855 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771151 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763766 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755637 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748598 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.737596 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735046 [26] validation_0-merror:0.35 validation_0-mlogloss:0.723709 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.71659 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711399 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705538 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700886 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696605 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693187 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68828 [34] validation_0-merror:0.3 validation_0-mlogloss:0.685447 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683848 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680759 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675436 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676367 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674086 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673653 [41] validation_0-merror:0.3 validation_0-mlogloss:0.674047 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670589 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668182 [44] validation_0-merror:0.3 validation_0-mlogloss:0.666001 [45] validation_0-merror:0.3 validation_0-mlogloss:0.663213 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662547 [47] validation_0-merror:0.3 validation_0-mlogloss:0.660079 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65604 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.657573 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653905 [51] validation_0-merror:0.3 validation_0-mlogloss:0.655122 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656272 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660628 [54] validation_0-merror:0.3 validation_0-mlogloss:0.660704 [55] validation_0-merror:0.3 validation_0-mlogloss:0.659564 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653905 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956897 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936092 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.914339 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898037 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879306 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.862482 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.847385 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835133 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826098 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818263 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812792 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803704 [16] validation_0-merror:0.35 validation_0-mlogloss:0.797541 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79276 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789957 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781777 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777805 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774391 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.77278 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768872 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76728 [25] validation_0-merror:0.35 validation_0-mlogloss:0.764309 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762239 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756938 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753632 [29] validation_0-merror:0.35 validation_0-mlogloss:0.75059 [30] validation_0-merror:0.35 validation_0-mlogloss:0.752401 [31] validation_0-merror:0.35 validation_0-mlogloss:0.748844 [32] validation_0-merror:0.35 validation_0-mlogloss:0.746909 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743958 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746845 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.747921 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742217 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744509 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.744456 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.743454 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.741272 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.736488 [42] validation_0-merror:0.35 validation_0-mlogloss:0.734877 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.731895 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728441 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.729737 [46] validation_0-merror:0.35 validation_0-mlogloss:0.730665 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.729611 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.731007 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.738896 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728441 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.07332 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04693 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01025 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.993076 [4] validation_0-merror:0.35 validation_0-mlogloss:0.96628 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942426 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925563 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908492 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890679 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874271 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852706 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.838531 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.825626 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.810111 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798747 [15] validation_0-merror:0.3 validation_0-mlogloss:0.793204 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783677 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.778657 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766138 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759684 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.75396 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744951 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.738706 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730402 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72923 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725929 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718331 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712772 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708375 [29] validation_0-merror:0.3 validation_0-mlogloss:0.704631 [30] validation_0-merror:0.3 validation_0-mlogloss:0.697101 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692367 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.686643 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.688256 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685492 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.685916 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.679954 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.677651 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.677566 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675889 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673387 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.668021 [42] validation_0-merror:0.3 validation_0-mlogloss:0.668614 [43] validation_0-merror:0.3 validation_0-mlogloss:0.665346 [44] validation_0-merror:0.3 validation_0-mlogloss:0.661446 [45] validation_0-merror:0.3 validation_0-mlogloss:0.660443 [46] validation_0-merror:0.3 validation_0-mlogloss:0.663649 [47] validation_0-merror:0.3 validation_0-mlogloss:0.663379 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661047 [49] validation_0-merror:0.3 validation_0-mlogloss:0.661204 [50] validation_0-merror:0.3 validation_0-mlogloss:0.661357 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.660443 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05261 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01782 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.992705 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964269 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956251 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930094 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908962 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891945 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874153 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855948 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828872 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81504 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806665 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795371 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788301 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77999 [17] validation_0-merror:0.3 validation_0-mlogloss:0.771455 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.76664 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760392 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752221 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747702 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736587 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.73206 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723725 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7174 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.709272 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.706114 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.703045 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699085 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694461 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.690951 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688499 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.68634 [34] validation_0-merror:0.25 validation_0-mlogloss:0.683666 [35] validation_0-merror:0.25 validation_0-mlogloss:0.680297 [36] validation_0-merror:0.25 validation_0-mlogloss:0.678528 [37] validation_0-merror:0.25 validation_0-mlogloss:0.679836 [38] validation_0-merror:0.25 validation_0-mlogloss:0.681778 [39] validation_0-merror:0.25 validation_0-mlogloss:0.675519 [40] validation_0-merror:0.25 validation_0-mlogloss:0.674564 [41] validation_0-merror:0.25 validation_0-mlogloss:0.673427 [42] validation_0-merror:0.25 validation_0-mlogloss:0.671737 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.670408 [44] validation_0-merror:0.25 validation_0-mlogloss:0.667803 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.666622 [46] validation_0-merror:0.25 validation_0-mlogloss:0.663653 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.659928 [48] validation_0-merror:0.25 validation_0-mlogloss:0.655378 [49] validation_0-merror:0.25 validation_0-mlogloss:0.657185 [50] validation_0-merror:0.25 validation_0-mlogloss:0.658064 [51] validation_0-merror:0.25 validation_0-mlogloss:0.659364 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.657659 [53] validation_0-merror:0.25 validation_0-mlogloss:0.658965 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.655378 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06563 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04086 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00986 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983497 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.957172 [5] validation_0-merror:0.3 validation_0-mlogloss:0.934186 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.917931 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901562 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.880887 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865858 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.855053 [11] validation_0-merror:0.35 validation_0-mlogloss:0.847446 [12] validation_0-merror:0.35 validation_0-mlogloss:0.838649 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.829175 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820004 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810851 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.807898 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803139 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.796411 [19] validation_0-merror:0.35 validation_0-mlogloss:0.792305 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785319 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.781496 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.776944 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772921 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773058 [25] validation_0-merror:0.35 validation_0-mlogloss:0.768109 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761528 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.758887 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754921 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.75183 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.753269 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.753987 [32] validation_0-merror:0.35 validation_0-mlogloss:0.749859 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.745024 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.746736 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.743178 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.743338 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.745718 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.743482 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.742327 [40] validation_0-merror:0.35 validation_0-mlogloss:0.741535 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.742184 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.741502 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.741302 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.738565 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.740809 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.739122 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.741888 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.73837 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.742243 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.741021 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.742318 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.744301 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.747663 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.73837 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.04111 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00945 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961854 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.944849 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.926845 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.912751 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.891799 [9] validation_0-merror:0.35 validation_0-mlogloss:0.875729 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.862813 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.850782 [12] validation_0-merror:0.3 validation_0-mlogloss:0.838405 [13] validation_0-merror:0.3 validation_0-mlogloss:0.830329 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818491 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812028 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807334 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799279 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789475 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782387 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781824 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777924 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771173 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.764862 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756241 [25] validation_0-merror:0.35 validation_0-mlogloss:0.750037 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744735 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739907 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732439 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.724573 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724025 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720283 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714312 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714626 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.709479 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.70877 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.703388 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.697949 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.695214 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.692607 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.688631 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.688642 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.685829 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.68356 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684402 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.682554 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682324 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.681158 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678907 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680668 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67868 [51] validation_0-merror:0.3 validation_0-mlogloss:0.678609 [52] validation_0-merror:0.3 validation_0-mlogloss:0.677428 [53] validation_0-merror:0.3 validation_0-mlogloss:0.678402 [54] validation_0-merror:0.3 validation_0-mlogloss:0.677635 [55] validation_0-merror:0.3 validation_0-mlogloss:0.674807 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672639 [57] validation_0-merror:0.3 validation_0-mlogloss:0.669004 [58] validation_0-merror:0.3 validation_0-mlogloss:0.668415 [59] validation_0-merror:0.3 validation_0-mlogloss:0.66626 [60] validation_0-merror:0.3 validation_0-mlogloss:0.66761 [61] validation_0-merror:0.3 validation_0-mlogloss:0.667923 [62] validation_0-merror:0.3 validation_0-mlogloss:0.670227 [63] validation_0-merror:0.3 validation_0-mlogloss:0.671958 [64] validation_0-merror:0.3 validation_0-mlogloss:0.675273 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.66626 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05742 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02405 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995359 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97231 [4] validation_0-merror:0.35 validation_0-mlogloss:0.946137 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920998 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905756 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895068 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880691 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.866541 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853383 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838263 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824632 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811773 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.803055 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794144 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784344 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.774508 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764559 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754889 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747401 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74223 [22] validation_0-merror:0.3 validation_0-mlogloss:0.735325 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73103 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727872 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72302 [26] validation_0-merror:0.3 validation_0-mlogloss:0.719488 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715437 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711733 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.705577 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702666 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.696891 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.695587 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.69314 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690449 [35] validation_0-merror:0.3 validation_0-mlogloss:0.689545 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686836 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.682858 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.681927 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.680345 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.680663 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.6778 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.676829 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.678161 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.680904 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.678657 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.678121 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.676575 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.676793 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.674214 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.673039 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.675362 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.673214 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.671637 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.671661 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.671134 [56] validation_0-merror:0.3 validation_0-mlogloss:0.669581 [57] validation_0-merror:0.3 validation_0-mlogloss:0.66866 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.667681 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.667205 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.66524 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.664338 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.661698 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.661251 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.658665 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.660762 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.660176 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.660903 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.660769 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.660008 Stopping. Best iteration: [64] validation_0-merror:0.283333 validation_0-mlogloss:0.658665 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03459 [2] validation_0-merror:0.4 validation_0-mlogloss:1.01134 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.989289 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963289 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937254 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921792 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.910539 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.895224 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881902 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868248 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.853224 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.839826 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827263 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818482 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807932 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798813 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791853 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787146 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779902 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774774 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.771804 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764864 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759763 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755854 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.751809 [26] validation_0-merror:0.35 validation_0-mlogloss:0.748817 [27] validation_0-merror:0.35 validation_0-mlogloss:0.746696 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741347 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738609 [30] validation_0-merror:0.35 validation_0-mlogloss:0.735479 [31] validation_0-merror:0.35 validation_0-mlogloss:0.736546 [32] validation_0-merror:0.35 validation_0-mlogloss:0.733454 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73293 [34] validation_0-merror:0.35 validation_0-mlogloss:0.73066 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731636 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.73312 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.73599 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.732535 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.730223 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.733161 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733522 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.732725 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.733714 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.735365 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.730223 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04022 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0149 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00018 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.978736 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954018 [6] validation_0-merror:0.35 validation_0-mlogloss:0.939694 [7] validation_0-merror:0.35 validation_0-mlogloss:0.928203 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.9107 [9] validation_0-merror:0.35 validation_0-mlogloss:0.89442 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.874744 [11] validation_0-merror:0.35 validation_0-mlogloss:0.858407 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.843294 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830995 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821092 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816041 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803162 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795499 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788428 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778314 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.770218 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765452 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757915 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750399 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742516 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737416 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732275 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728893 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722892 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72085 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720218 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712964 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706293 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702841 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699134 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695824 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692256 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.689031 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.685744 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.684722 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.680277 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676624 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.676015 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674168 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.671684 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.667948 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.667889 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.665515 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.664177 [49] validation_0-merror:0.3 validation_0-mlogloss:0.663221 [50] validation_0-merror:0.3 validation_0-mlogloss:0.663608 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661067 [52] validation_0-merror:0.3 validation_0-mlogloss:0.660019 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656447 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654426 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.655068 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.652764 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.650101 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.648555 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.646331 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.643891 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.640808 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.640396 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.642311 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.642609 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.64186 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.640295 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.640682 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.638904 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.639713 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.639069 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.641764 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.643973 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.642599 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.638904 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06182 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00317 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.974913 [4] validation_0-merror:0.4 validation_0-mlogloss:0.966137 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.942358 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.92699 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909804 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88852 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872456 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859462 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845132 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832947 [13] validation_0-merror:0.3 validation_0-mlogloss:0.821782 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811553 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.807414 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.793821 [17] validation_0-merror:0.3 validation_0-mlogloss:0.781483 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777673 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77158 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.76287 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756496 [22] validation_0-merror:0.3 validation_0-mlogloss:0.74852 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743123 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.732311 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731508 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722531 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715658 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709149 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703302 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698465 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692823 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689706 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684606 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681683 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678552 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676718 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672573 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674704 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671799 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674559 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672399 [42] validation_0-merror:0.3 validation_0-mlogloss:0.668495 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66713 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665925 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664146 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664897 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664123 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660663 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662802 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.659841 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.662404 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.663368 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.66519 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664208 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.662722 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.659841 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956375 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936259 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914463 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898249 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878728 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.86381 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.847814 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835333 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828122 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819028 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813082 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.804873 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.7996 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.791688 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788633 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780631 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776289 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769142 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.768035 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764278 [24] validation_0-merror:0.35 validation_0-mlogloss:0.763436 [25] validation_0-merror:0.35 validation_0-mlogloss:0.76033 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75837 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753573 [28] validation_0-merror:0.35 validation_0-mlogloss:0.7513 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751499 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75198 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750148 [32] validation_0-merror:0.35 validation_0-mlogloss:0.748557 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744085 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746997 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748046 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.744632 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.747452 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.747322 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744085 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07077 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04437 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00848 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.991388 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966534 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942885 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925264 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908223 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890904 [9] validation_0-merror:0.3 validation_0-mlogloss:0.876446 [10] validation_0-merror:0.3 validation_0-mlogloss:0.855347 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841263 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828013 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812635 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801379 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795476 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788631 [17] validation_0-merror:0.3 validation_0-mlogloss:0.782875 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774172 [19] validation_0-merror:0.3 validation_0-mlogloss:0.767698 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761194 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.751938 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.745946 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737039 [24] validation_0-merror:0.3 validation_0-mlogloss:0.737531 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731197 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72795 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721806 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71713 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713192 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709589 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704682 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700912 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701698 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698478 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698893 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692782 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.691454 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.690067 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.687529 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.682673 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.677567 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.680493 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.675836 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.674071 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670495 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.673443 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.67299 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.672489 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.674022 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.6739 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670495 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01957 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99458 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966839 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958943 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932493 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.909074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891826 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875072 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857967 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843932 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828628 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816014 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806734 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795872 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790155 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779588 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771485 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766112 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759816 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.750633 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746152 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.735103 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730537 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722148 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716722 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.711258 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708172 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704748 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701516 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698423 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693997 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690319 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687088 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.685204 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.681085 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.679034 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.678795 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.680587 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.674442 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.673468 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.672373 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.671953 [43] validation_0-merror:0.25 validation_0-mlogloss:0.669507 [44] validation_0-merror:0.25 validation_0-mlogloss:0.666727 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.663346 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.660747 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.657479 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.653784 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.655595 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.655254 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.655782 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.651187 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.652547 [54] validation_0-merror:0.3 validation_0-mlogloss:0.652222 [55] validation_0-merror:0.3 validation_0-mlogloss:0.6519 [56] validation_0-merror:0.3 validation_0-mlogloss:0.651906 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.6497 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.651487 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.648761 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.650571 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.648601 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.649795 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.649981 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.650776 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.652844 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.654859 Stopping. Best iteration: [61] validation_0-merror:0.266667 validation_0-mlogloss:0.648601 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06219 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03843 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00869 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981789 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954191 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.931642 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.915808 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89986 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879333 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865424 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.854567 [11] validation_0-merror:0.35 validation_0-mlogloss:0.846162 [12] validation_0-merror:0.35 validation_0-mlogloss:0.83782 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827722 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818578 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.809981 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807173 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.80232 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.795297 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.793336 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783676 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777997 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.773415 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769471 [24] validation_0-merror:0.35 validation_0-mlogloss:0.769674 [25] validation_0-merror:0.35 validation_0-mlogloss:0.765609 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759132 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75862 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756875 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.754306 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75488 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755076 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.752717 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.747512 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.747554 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.743645 [36] validation_0-merror:0.35 validation_0-mlogloss:0.741877 [37] validation_0-merror:0.35 validation_0-mlogloss:0.741756 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.739612 [39] validation_0-merror:0.35 validation_0-mlogloss:0.741089 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.739784 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.740688 [42] validation_0-merror:0.35 validation_0-mlogloss:0.740326 [43] validation_0-merror:0.35 validation_0-mlogloss:0.741003 Stopping. Best iteration: [38] validation_0-merror:0.366667 validation_0-mlogloss:0.739612 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07074 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0423 [2] validation_0-merror:0.35 validation_0-mlogloss:1.01073 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.986024 [4] validation_0-merror:0.35 validation_0-mlogloss:0.963061 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942179 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92446 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910531 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894563 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879321 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866531 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.855156 [12] validation_0-merror:0.3 validation_0-mlogloss:0.84193 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.83376 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.821788 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814803 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808602 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800806 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791072 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781228 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777578 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774327 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7674 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760548 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755848 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749372 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745445 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739612 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733079 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725167 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724902 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.721999 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714848 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714455 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.7095 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.707091 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.70318 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.700113 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.696425 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.695142 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.690527 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.690218 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.689107 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.687165 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.687943 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.684449 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682403 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.680253 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.678129 [49] validation_0-merror:0.3 validation_0-mlogloss:0.681888 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680064 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.678908 [52] validation_0-merror:0.3 validation_0-mlogloss:0.678344 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677741 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.679354 [55] validation_0-merror:0.3 validation_0-mlogloss:0.677069 [56] validation_0-merror:0.3 validation_0-mlogloss:0.673394 [57] validation_0-merror:0.3 validation_0-mlogloss:0.673607 [58] validation_0-merror:0.3 validation_0-mlogloss:0.673016 [59] validation_0-merror:0.3 validation_0-mlogloss:0.672533 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.669369 [61] validation_0-merror:0.3 validation_0-mlogloss:0.672026 [62] validation_0-merror:0.3 validation_0-mlogloss:0.672648 [63] validation_0-merror:0.3 validation_0-mlogloss:0.673169 [64] validation_0-merror:0.3 validation_0-mlogloss:0.675976 [65] validation_0-merror:0.3 validation_0-mlogloss:0.671603 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.669369 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03035 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00159 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978521 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95296 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926278 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910992 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901739 [8] validation_0-merror:0.3 validation_0-mlogloss:0.886002 [9] validation_0-merror:0.3 validation_0-mlogloss:0.871294 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858212 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842902 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827374 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812115 [14] validation_0-merror:0.3 validation_0-mlogloss:0.803227 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791717 [16] validation_0-merror:0.3 validation_0-mlogloss:0.784582 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774599 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764164 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757196 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74972 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744465 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738111 [23] validation_0-merror:0.3 validation_0-mlogloss:0.733706 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728376 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723794 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.722317 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.718551 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.715236 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709246 [30] validation_0-merror:0.3 validation_0-mlogloss:0.707071 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701095 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698999 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698085 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694559 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694556 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691673 [37] validation_0-merror:0.3 validation_0-mlogloss:0.687489 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688192 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687414 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68799 [41] validation_0-merror:0.3 validation_0-mlogloss:0.68597 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.686021 [43] validation_0-merror:0.3 validation_0-mlogloss:0.686373 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688365 [45] validation_0-merror:0.3 validation_0-mlogloss:0.688713 [46] validation_0-merror:0.3 validation_0-mlogloss:0.68507 [47] validation_0-merror:0.3 validation_0-mlogloss:0.685565 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.685246 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.684615 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683372 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.684294 [52] validation_0-merror:0.3 validation_0-mlogloss:0.680427 [53] validation_0-merror:0.3 validation_0-mlogloss:0.67952 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.680573 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.67952 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.676602 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.676122 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.674061 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.673841 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.671433 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.670954 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.67015 [63] validation_0-merror:0.3 validation_0-mlogloss:0.669315 [64] validation_0-merror:0.3 validation_0-mlogloss:0.669408 [65] validation_0-merror:0.3 validation_0-mlogloss:0.669656 [66] validation_0-merror:0.3 validation_0-mlogloss:0.668626 [67] validation_0-merror:0.3 validation_0-mlogloss:0.669063 [68] validation_0-merror:0.3 validation_0-mlogloss:0.669271 [69] validation_0-merror:0.3 validation_0-mlogloss:0.668146 [70] validation_0-merror:0.3 validation_0-mlogloss:0.666823 [71] validation_0-merror:0.3 validation_0-mlogloss:0.664923 [72] validation_0-merror:0.3 validation_0-mlogloss:0.663808 [73] validation_0-merror:0.3 validation_0-mlogloss:0.663929 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.661846 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.662272 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.662306 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.66305 [78] validation_0-merror:0.3 validation_0-mlogloss:0.664246 [79] validation_0-merror:0.283333 validation_0-mlogloss:0.664022 Stopping. Best iteration: [74] validation_0-merror:0.283333 validation_0-mlogloss:0.661846 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0377 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01477 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.993513 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.968026 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941617 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.926081 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.91542 [8] validation_0-merror:0.4 validation_0-mlogloss:0.900326 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.887304 [10] validation_0-merror:0.4 validation_0-mlogloss:0.873488 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.858669 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.84405 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829892 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.822269 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.811894 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802918 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795905 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791052 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784327 [20] validation_0-merror:0.4 validation_0-mlogloss:0.780106 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.777483 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770215 [23] validation_0-merror:0.35 validation_0-mlogloss:0.767866 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763304 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760247 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756693 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756491 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753781 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751312 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750419 [31] validation_0-merror:0.35 validation_0-mlogloss:0.745397 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743906 [33] validation_0-merror:0.35 validation_0-mlogloss:0.743481 [34] validation_0-merror:0.35 validation_0-mlogloss:0.740843 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.74 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.742704 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.744207 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.74143 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.739828 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.740681 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.741616 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.740395 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.740712 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.738179 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.739516 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.74307 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.742577 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.741918 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.740529 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.738179 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.986041 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.960856 [6] validation_0-merror:0.35 validation_0-mlogloss:0.946502 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.934973 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917415 [9] validation_0-merror:0.35 validation_0-mlogloss:0.901096 [10] validation_0-merror:0.35 validation_0-mlogloss:0.881324 [11] validation_0-merror:0.35 validation_0-mlogloss:0.864698 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.849485 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.836998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.827815 [15] validation_0-merror:0.35 validation_0-mlogloss:0.820748 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808445 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799403 [18] validation_0-merror:0.35 validation_0-mlogloss:0.79357 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.784548 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776526 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771608 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76406 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756345 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74845 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744342 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740879 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736414 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731663 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724952 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725413 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720236 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716777 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712359 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709123 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705713 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701953 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698718 [38] validation_0-merror:0.3 validation_0-mlogloss:0.695529 [39] validation_0-merror:0.3 validation_0-mlogloss:0.693026 [40] validation_0-merror:0.3 validation_0-mlogloss:0.688586 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685801 [42] validation_0-merror:0.3 validation_0-mlogloss:0.683018 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681168 [44] validation_0-merror:0.3 validation_0-mlogloss:0.681233 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679258 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67856 [47] validation_0-merror:0.3 validation_0-mlogloss:0.676063 [48] validation_0-merror:0.3 validation_0-mlogloss:0.675403 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.674776 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.671918 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.670582 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.670806 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.671243 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.675376 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.678479 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.676484 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.670582 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05485 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0265 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.9992 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970148 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961227 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938107 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92276 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.906327 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884894 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866937 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852783 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838433 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826311 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81429 [14] validation_0-merror:0.3 validation_0-mlogloss:0.804166 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800159 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788104 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775835 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77234 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766859 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760664 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75399 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749269 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744642 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733164 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731672 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.721298 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.715574 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709091 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706128 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.700893 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.696478 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.694195 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.692331 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.690445 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686648 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683654 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.684023 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687591 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683948 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686529 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685976 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683654 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04031 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984669 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956879 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936502 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.916002 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898781 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878871 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861852 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845744 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833852 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827102 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816218 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811533 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.80252 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797346 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790902 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786669 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778459 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774455 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.767995 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.766833 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762866 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.761862 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759574 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756716 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752468 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749557 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747167 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746591 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743065 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74209 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741274 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744479 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.742667 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.739091 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.741303 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.741628 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.742179 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.741509 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.73682 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.737426 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.735759 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.737401 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.73307 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.733573 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.729828 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.728768 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.729335 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.727704 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.730125 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.731678 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.733837 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.741164 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.738093 Stopping. Best iteration: [50] validation_0-merror:0.366667 validation_0-mlogloss:0.727704 [0] validation_0-merror:0.45 validation_0-mlogloss:1.07103 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0439 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00798 [3] validation_0-merror:0.35 validation_0-mlogloss:0.990744 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.965937 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942211 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.924833 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907806 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8898 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874455 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853566 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.839845 [12] validation_0-merror:0.25 validation_0-mlogloss:0.824976 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809485 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798298 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.79367 [16] validation_0-merror:0.3 validation_0-mlogloss:0.786259 [17] validation_0-merror:0.3 validation_0-mlogloss:0.781375 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774458 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.769771 [20] validation_0-merror:0.3 validation_0-mlogloss:0.766164 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757683 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755763 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749977 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751096 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.747302 [26] validation_0-merror:0.35 validation_0-mlogloss:0.741502 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.73516 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730712 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.726543 [30] validation_0-merror:0.35 validation_0-mlogloss:0.726029 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720129 [32] validation_0-merror:0.35 validation_0-mlogloss:0.716206 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.715785 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.712241 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.710719 [36] validation_0-merror:0.35 validation_0-mlogloss:0.705584 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.702731 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.700882 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.69767 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.692487 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.688548 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.690621 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.687124 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.683104 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.679922 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.680654 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.681506 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.679459 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.68102 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.676575 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.674683 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.670104 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.668666 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.673265 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.671657 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.673386 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.672225 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.670491 Stopping. Best iteration: [53] validation_0-merror:0.316667 validation_0-mlogloss:0.668666 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05462 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.02132 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99444 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958751 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932246 [6] validation_0-merror:0.3 validation_0-mlogloss:0.910637 [7] validation_0-merror:0.3 validation_0-mlogloss:0.892603 [8] validation_0-merror:0.3 validation_0-mlogloss:0.875521 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.858744 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844226 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829109 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817841 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810153 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798443 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.7921 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781123 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77162 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764859 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759856 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751109 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.7465 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734615 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728522 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719392 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.713739 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7071 [27] validation_0-merror:0.3 validation_0-mlogloss:0.70486 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.701338 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700536 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.698209 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694778 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688833 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.685516 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.683423 [35] validation_0-merror:0.25 validation_0-mlogloss:0.678924 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.676351 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.675982 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677679 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671134 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.670875 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.670526 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.670372 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668954 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666138 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665534 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665201 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664069 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.661614 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.663134 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.662651 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.664749 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662896 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.666701 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.661614 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06212 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03714 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00786 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980917 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.954327 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932207 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915898 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899902 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87903 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865049 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853739 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.844295 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836291 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827291 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819025 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.808841 [16] validation_0-merror:0.4 validation_0-mlogloss:0.805597 [17] validation_0-merror:0.4 validation_0-mlogloss:0.799846 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792876 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789439 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779792 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774712 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770334 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766505 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767658 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762999 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756633 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756776 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751834 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.746982 [30] validation_0-merror:0.35 validation_0-mlogloss:0.745908 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.745795 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.743238 [33] validation_0-merror:0.35 validation_0-mlogloss:0.745146 [34] validation_0-merror:0.35 validation_0-mlogloss:0.744728 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740732 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.739345 [37] validation_0-merror:0.35 validation_0-mlogloss:0.739346 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737486 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.737819 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.736568 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.737505 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.737186 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.738377 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.736457 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.738398 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.737187 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.738857 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.737215 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.739247 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.736457 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.04033 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00795 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.983324 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961241 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.945325 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.927513 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91379 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.898021 [9] validation_0-merror:0.35 validation_0-mlogloss:0.87927 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867064 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854769 [12] validation_0-merror:0.3 validation_0-mlogloss:0.841737 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.833762 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82192 [15] validation_0-merror:0.35 validation_0-mlogloss:0.815 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810284 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802232 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.793179 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785555 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781996 [21] validation_0-merror:0.35 validation_0-mlogloss:0.778764 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771815 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76546 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763183 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755903 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752037 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746629 [28] validation_0-merror:0.35 validation_0-mlogloss:0.739634 [29] validation_0-merror:0.35 validation_0-mlogloss:0.735069 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737406 [31] validation_0-merror:0.35 validation_0-mlogloss:0.73355 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726505 [33] validation_0-merror:0.35 validation_0-mlogloss:0.729037 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.722274 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.719496 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.716637 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.712491 [38] validation_0-merror:0.35 validation_0-mlogloss:0.709427 [39] validation_0-merror:0.35 validation_0-mlogloss:0.708799 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.704186 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.703806 [42] validation_0-merror:0.35 validation_0-mlogloss:0.703191 [43] validation_0-merror:0.35 validation_0-mlogloss:0.704711 [44] validation_0-merror:0.35 validation_0-mlogloss:0.706079 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.702138 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.700295 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.699016 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.699485 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.703259 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.699225 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.700176 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.697782 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.698685 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.700649 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.699109 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.694336 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.69101 [58] validation_0-merror:0.333333 validation_0-mlogloss:0.690751 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.690464 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.689541 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.691315 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.694147 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.694952 [64] validation_0-merror:0.316667 validation_0-mlogloss:0.695285 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.692448 Stopping. Best iteration: [60] validation_0-merror:0.316667 validation_0-mlogloss:0.689541 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02915 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00026 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.977676 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952623 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925844 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910619 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.900814 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.885092 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870469 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857329 [11] validation_0-merror:0.3 validation_0-mlogloss:0.840931 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826811 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.81419 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.805377 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795274 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786142 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.776102 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765528 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758198 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.751276 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745544 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741558 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.735663 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731771 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.72579 [26] validation_0-merror:0.3 validation_0-mlogloss:0.722231 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717428 [28] validation_0-merror:0.3 validation_0-mlogloss:0.716491 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712384 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708831 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707722 [32] validation_0-merror:0.3 validation_0-mlogloss:0.707078 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.703853 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.701902 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.70182 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699532 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693125 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693892 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691865 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.693309 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.692054 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.691688 [43] validation_0-merror:0.3 validation_0-mlogloss:0.689183 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.691314 [45] validation_0-merror:0.3 validation_0-mlogloss:0.69185 [46] validation_0-merror:0.3 validation_0-mlogloss:0.687509 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689495 [48] validation_0-merror:0.3 validation_0-mlogloss:0.690311 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.687707 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.686313 [51] validation_0-merror:0.3 validation_0-mlogloss:0.688663 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688258 [53] validation_0-merror:0.3 validation_0-mlogloss:0.688355 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.686465 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685663 [56] validation_0-merror:0.3 validation_0-mlogloss:0.683059 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.68033 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.678956 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.68005 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.678004 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.677889 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.677572 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.678349 [64] validation_0-merror:0.3 validation_0-mlogloss:0.675695 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.677505 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.677706 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.677036 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.675223 [69] validation_0-merror:0.3 validation_0-mlogloss:0.677626 [70] validation_0-merror:0.3 validation_0-mlogloss:0.677511 [71] validation_0-merror:0.3 validation_0-mlogloss:0.677329 [72] validation_0-merror:0.3 validation_0-mlogloss:0.674654 [73] validation_0-merror:0.3 validation_0-mlogloss:0.674412 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.673964 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.674306 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.675582 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.676467 [78] validation_0-merror:0.283333 validation_0-mlogloss:0.677075 [79] validation_0-merror:0.283333 validation_0-mlogloss:0.676351 Stopping. Best iteration: [74] validation_0-merror:0.283333 validation_0-mlogloss:0.673964 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06302 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03594 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01207 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.991244 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.96499 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938947 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.923896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.913493 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.898364 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.884222 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870328 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854924 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.840289 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827044 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.819386 [15] validation_0-merror:0.35 validation_0-mlogloss:0.80932 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.79992 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793945 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787885 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78094 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776887 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774652 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768037 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.764937 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761533 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758435 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755084 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754116 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750188 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747849 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746726 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.747983 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.744576 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743471 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.7405 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.74004 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742465 [37] validation_0-merror:0.35 validation_0-mlogloss:0.742392 [38] validation_0-merror:0.35 validation_0-mlogloss:0.741742 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.741234 [40] validation_0-merror:0.35 validation_0-mlogloss:0.737547 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.736615 [42] validation_0-merror:0.35 validation_0-mlogloss:0.735465 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735423 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.735267 [45] validation_0-merror:0.35 validation_0-mlogloss:0.736414 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.736826 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.734816 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.737122 [49] validation_0-merror:0.35 validation_0-mlogloss:0.736008 [50] validation_0-merror:0.35 validation_0-mlogloss:0.737203 [51] validation_0-merror:0.35 validation_0-mlogloss:0.739663 [52] validation_0-merror:0.35 validation_0-mlogloss:0.740562 Stopping. Best iteration: [47] validation_0-merror:0.366667 validation_0-mlogloss:0.734816 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.934464 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917267 [9] validation_0-merror:0.35 validation_0-mlogloss:0.899559 [10] validation_0-merror:0.35 validation_0-mlogloss:0.879882 [11] validation_0-merror:0.35 validation_0-mlogloss:0.863467 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.84838 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.835863 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.826701 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.821736 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809192 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799597 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792978 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783854 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775842 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770675 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765537 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758283 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749819 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74652 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741046 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735671 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730933 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72866 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723033 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71746 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714654 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.71072 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706171 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699648 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695686 [37] validation_0-merror:0.3 validation_0-mlogloss:0.695913 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693125 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690672 [40] validation_0-merror:0.3 validation_0-mlogloss:0.685765 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683208 [42] validation_0-merror:0.3 validation_0-mlogloss:0.68176 [43] validation_0-merror:0.3 validation_0-mlogloss:0.67861 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676463 [45] validation_0-merror:0.3 validation_0-mlogloss:0.674088 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67319 [47] validation_0-merror:0.3 validation_0-mlogloss:0.67174 [48] validation_0-merror:0.3 validation_0-mlogloss:0.672837 [49] validation_0-merror:0.3 validation_0-mlogloss:0.671176 [50] validation_0-merror:0.3 validation_0-mlogloss:0.66778 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664555 [52] validation_0-merror:0.3 validation_0-mlogloss:0.66309 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660565 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.661727 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.664212 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.663737 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.662022 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.661429 Stopping. Best iteration: [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660565 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05765 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02269 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996343 [3] validation_0-merror:0.4 validation_0-mlogloss:0.961671 [4] validation_0-merror:0.4 validation_0-mlogloss:0.952641 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927536 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.907288 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893221 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875187 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.85659 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844318 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834422 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81977 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811098 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.805373 [15] validation_0-merror:0.3 validation_0-mlogloss:0.805208 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792093 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781631 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77451 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768718 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756595 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745323 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73729 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729128 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723368 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723259 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.712221 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709513 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705815 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.699713 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691298 [31] validation_0-merror:0.3 validation_0-mlogloss:0.687144 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683259 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67792 [34] validation_0-merror:0.3 validation_0-mlogloss:0.677385 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67463 [36] validation_0-merror:0.3 validation_0-mlogloss:0.671226 [37] validation_0-merror:0.3 validation_0-mlogloss:0.664364 [38] validation_0-merror:0.3 validation_0-mlogloss:0.666628 [39] validation_0-merror:0.3 validation_0-mlogloss:0.663239 [40] validation_0-merror:0.3 validation_0-mlogloss:0.666197 [41] validation_0-merror:0.3 validation_0-mlogloss:0.667356 [42] validation_0-merror:0.3 validation_0-mlogloss:0.665534 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.664598 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.66344 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.663239 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06042 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03499 [2] validation_0-merror:0.3 validation_0-mlogloss:0.996426 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.970029 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.936765 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.915214 [6] validation_0-merror:0.3 validation_0-mlogloss:0.893441 [7] validation_0-merror:0.35 validation_0-mlogloss:0.875768 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858232 [9] validation_0-merror:0.35 validation_0-mlogloss:0.844235 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829906 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818925 [12] validation_0-merror:0.35 validation_0-mlogloss:0.8146 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806499 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800007 [15] validation_0-merror:0.35 validation_0-mlogloss:0.789344 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787762 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.786565 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785315 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77721 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778735 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.772627 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772678 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769584 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772713 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.770761 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.766796 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763403 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.757703 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.755473 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.752589 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750975 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.752966 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.753229 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.759203 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.755839 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.751217 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750975 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03387 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.989964 [3] validation_0-merror:0.3 validation_0-mlogloss:0.967443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.931704 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.910118 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899654 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887066 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.867912 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853037 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834516 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824267 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809567 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794998 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.778318 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770551 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762351 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.760097 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.750616 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.741934 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.741954 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.739468 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736362 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728701 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.727398 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.72398 [26] validation_0-merror:0.35 validation_0-mlogloss:0.715738 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.70937 [28] validation_0-merror:0.3 validation_0-mlogloss:0.707281 [29] validation_0-merror:0.3 validation_0-mlogloss:0.702199 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.700115 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.700262 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701363 [33] validation_0-merror:0.3 validation_0-mlogloss:0.704421 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706807 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.71216 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.700115 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04842 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01089 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977508 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.95184 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947362 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916723 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896587 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883229 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.86473 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846002 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.82999 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81837 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804318 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790116 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779916 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775558 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766496 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75919 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753373 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748904 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740025 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734886 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723524 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.71906 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.709498 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706701 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.698279 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.698727 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696089 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.692304 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687661 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685206 [32] validation_0-merror:0.3 validation_0-mlogloss:0.678976 [33] validation_0-merror:0.3 validation_0-mlogloss:0.674934 [34] validation_0-merror:0.3 validation_0-mlogloss:0.673484 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67219 [36] validation_0-merror:0.3 validation_0-mlogloss:0.670702 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673654 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678078 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.678894 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.678085 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676793 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.670702 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0331 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998093 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964857 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939225 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918549 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900264 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882929 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861988 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849822 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839148 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827921 [12] validation_0-merror:0.35 validation_0-mlogloss:0.821545 [13] validation_0-merror:0.35 validation_0-mlogloss:0.810991 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.803802 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793841 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79463 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788279 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.783289 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780418 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.775525 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773156 [22] validation_0-merror:0.35 validation_0-mlogloss:0.768241 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765402 [24] validation_0-merror:0.35 validation_0-mlogloss:0.77056 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.768472 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.767232 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.767622 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769544 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765402 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02465 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.991774 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.974789 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951091 [5] validation_0-merror:0.35 validation_0-mlogloss:0.937305 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.914545 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.904729 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.887307 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870714 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.858889 [11] validation_0-merror:0.3 validation_0-mlogloss:0.846831 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.831026 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.819434 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.805166 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.798593 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794106 [17] validation_0-merror:0.3 validation_0-mlogloss:0.789611 [18] validation_0-merror:0.3 validation_0-mlogloss:0.780784 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774396 [20] validation_0-merror:0.3 validation_0-mlogloss:0.772562 [21] validation_0-merror:0.3 validation_0-mlogloss:0.768494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.768023 [23] validation_0-merror:0.3 validation_0-mlogloss:0.760242 [24] validation_0-merror:0.3 validation_0-mlogloss:0.754924 [25] validation_0-merror:0.3 validation_0-mlogloss:0.750702 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743877 [27] validation_0-merror:0.3 validation_0-mlogloss:0.743555 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.738974 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.733837 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730849 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730419 [32] validation_0-merror:0.3 validation_0-mlogloss:0.726337 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723918 [34] validation_0-merror:0.3 validation_0-mlogloss:0.722504 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.722221 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.722724 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.722563 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721549 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.721011 [40] validation_0-merror:0.3 validation_0-mlogloss:0.721553 [41] validation_0-merror:0.3 validation_0-mlogloss:0.719059 [42] validation_0-merror:0.3 validation_0-mlogloss:0.718098 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.716201 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.722977 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.723284 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.718578 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.717916 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.720695 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.716201 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05163 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01432 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982218 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957862 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924348 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897644 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879584 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868185 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.853472 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839924 [10] validation_0-merror:0.3 validation_0-mlogloss:0.829872 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.813041 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.793281 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.777323 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.767008 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.759525 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.75076 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.743988 [18] validation_0-merror:0.25 validation_0-mlogloss:0.733581 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.722625 [20] validation_0-merror:0.25 validation_0-mlogloss:0.716993 [21] validation_0-merror:0.25 validation_0-mlogloss:0.712888 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.709091 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.704657 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.700971 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.695228 [26] validation_0-merror:0.25 validation_0-mlogloss:0.693829 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.689793 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.684851 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.682196 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.677238 [31] validation_0-merror:0.216667 validation_0-mlogloss:0.672186 [32] validation_0-merror:0.216667 validation_0-mlogloss:0.667522 [33] validation_0-merror:0.216667 validation_0-mlogloss:0.664074 [34] validation_0-merror:0.216667 validation_0-mlogloss:0.66086 [35] validation_0-merror:0.216667 validation_0-mlogloss:0.659925 [36] validation_0-merror:0.216667 validation_0-mlogloss:0.659154 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.659346 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.655342 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.65632 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.655759 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.655921 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.6543 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.655028 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.653499 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.653601 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.6537 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.651018 [48] validation_0-merror:0.233333 validation_0-mlogloss:0.648594 [49] validation_0-merror:0.233333 validation_0-mlogloss:0.644682 [50] validation_0-merror:0.233333 validation_0-mlogloss:0.643515 [51] validation_0-merror:0.233333 validation_0-mlogloss:0.643286 [52] validation_0-merror:0.25 validation_0-mlogloss:0.641809 [53] validation_0-merror:0.25 validation_0-mlogloss:0.64296 [54] validation_0-merror:0.25 validation_0-mlogloss:0.6433 [55] validation_0-merror:0.25 validation_0-mlogloss:0.645492 [56] validation_0-merror:0.25 validation_0-mlogloss:0.642458 [57] validation_0-merror:0.25 validation_0-mlogloss:0.642468 Stopping. Best iteration: [52] validation_0-merror:0.25 validation_0-mlogloss:0.641809 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05782 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03276 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0046 [3] validation_0-merror:0.35 validation_0-mlogloss:0.98414 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952524 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.914494 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905284 [8] validation_0-merror:0.35 validation_0-mlogloss:0.891871 [9] validation_0-merror:0.3 validation_0-mlogloss:0.878463 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.866014 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.850949 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835015 [13] validation_0-merror:0.3 validation_0-mlogloss:0.822782 [14] validation_0-merror:0.3 validation_0-mlogloss:0.817782 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.810372 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805148 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.798192 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.798286 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790044 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.789357 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.787641 [22] validation_0-merror:0.35 validation_0-mlogloss:0.78681 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.783294 [24] validation_0-merror:0.35 validation_0-mlogloss:0.784072 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.783211 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.78609 [27] validation_0-merror:0.35 validation_0-mlogloss:0.786212 [28] validation_0-merror:0.35 validation_0-mlogloss:0.786195 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.786231 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.792446 Stopping. Best iteration: [25] validation_0-merror:0.366667 validation_0-mlogloss:0.783211 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03179 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996463 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976894 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.948913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922323 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901971 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889554 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868847 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850527 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.835491 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828205 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80847 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791409 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78742 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776978 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765067 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759203 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75444 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.746218 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737737 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735063 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731762 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721957 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.714551 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709482 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.711776 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707055 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.700559 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.698668 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.699793 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703987 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702217 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700967 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696062 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69409 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699599 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.703806 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.701101 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.700578 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.696291 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69409 [0] validation_0-merror:0.5 validation_0-mlogloss:1.05515 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.0211 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.99704 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968163 [4] validation_0-merror:0.4 validation_0-mlogloss:0.958526 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936565 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.918143 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900186 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884345 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86557 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.855839 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845235 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835032 [13] validation_0-merror:0.35 validation_0-mlogloss:0.82665 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.818914 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.816426 [16] validation_0-merror:0.3 validation_0-mlogloss:0.804376 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790893 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784974 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779368 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.770023 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759493 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752564 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746531 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736869 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735561 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.726555 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.722541 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.716053 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.709422 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.700367 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695256 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.691311 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687881 [34] validation_0-merror:0.3 validation_0-mlogloss:0.687621 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.68344 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680399 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67714 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.677905 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676746 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.67837 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676934 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673136 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.672403 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67251 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.67193 [46] validation_0-merror:0.3 validation_0-mlogloss:0.672359 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66963 [48] validation_0-merror:0.3 validation_0-mlogloss:0.669992 [49] validation_0-merror:0.3 validation_0-mlogloss:0.672184 [50] validation_0-merror:0.3 validation_0-mlogloss:0.670601 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672044 [52] validation_0-merror:0.3 validation_0-mlogloss:0.673487 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.66963 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03633 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00082 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974333 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940394 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919183 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895558 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.878654 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860268 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843616 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828793 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814364 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.80954 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.799441 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791432 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77852 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.776432 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773317 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.771532 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.768136 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.766602 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763031 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760039 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758486 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760082 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.757829 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754599 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754355 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756624 [29] validation_0-merror:0.35 validation_0-mlogloss:0.753671 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.755303 [31] validation_0-merror:0.35 validation_0-mlogloss:0.753517 [32] validation_0-merror:0.35 validation_0-mlogloss:0.754061 [33] validation_0-merror:0.35 validation_0-mlogloss:0.753399 [34] validation_0-merror:0.35 validation_0-mlogloss:0.754685 [35] validation_0-merror:0.35 validation_0-mlogloss:0.760386 [36] validation_0-merror:0.35 validation_0-mlogloss:0.758366 [37] validation_0-merror:0.35 validation_0-mlogloss:0.757279 [38] validation_0-merror:0.35 validation_0-mlogloss:0.755741 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.753399 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06003 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03213 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.9926 [3] validation_0-merror:0.3 validation_0-mlogloss:0.977339 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.946763 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925018 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906662 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894522 [8] validation_0-merror:0.35 validation_0-mlogloss:0.8757 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865569 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.846331 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.839201 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825019 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809544 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79271 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788986 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780229 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775489 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765645 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75504 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751993 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750849 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743517 [24] validation_0-merror:0.3 validation_0-mlogloss:0.741397 [25] validation_0-merror:0.3 validation_0-mlogloss:0.737681 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72976 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724719 [28] validation_0-merror:0.3 validation_0-mlogloss:0.71882 [29] validation_0-merror:0.3 validation_0-mlogloss:0.714901 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713909 [31] validation_0-merror:0.3 validation_0-mlogloss:0.709932 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710427 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711426 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711141 [35] validation_0-merror:0.3 validation_0-mlogloss:0.714803 [36] validation_0-merror:0.3 validation_0-mlogloss:0.711633 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.709932 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01148 [2] validation_0-merror:0.3 validation_0-mlogloss:0.979144 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949379 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944956 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914651 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894781 [7] validation_0-merror:0.3 validation_0-mlogloss:0.878117 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.859397 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840951 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.8246 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812662 [12] validation_0-merror:0.3 validation_0-mlogloss:0.799874 [13] validation_0-merror:0.3 validation_0-mlogloss:0.790745 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783081 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778384 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767669 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757286 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752789 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.747334 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73791 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733467 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723535 [23] validation_0-merror:0.35 validation_0-mlogloss:0.718006 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.709408 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707572 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.699666 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.699755 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.694618 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69264 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688743 [31] validation_0-merror:0.3 validation_0-mlogloss:0.683202 [32] validation_0-merror:0.3 validation_0-mlogloss:0.678115 [33] validation_0-merror:0.3 validation_0-mlogloss:0.674557 [34] validation_0-merror:0.3 validation_0-mlogloss:0.671273 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.668779 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670497 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.671448 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.675752 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672384 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.672358 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.668779 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06417 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02881 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997181 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962912 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935483 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916706 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.898292 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883129 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863656 [9] validation_0-merror:0.3 validation_0-mlogloss:0.849503 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838202 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829935 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821067 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809788 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802676 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795099 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794706 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.789711 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785276 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785552 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781772 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781342 [22] validation_0-merror:0.35 validation_0-mlogloss:0.774522 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768267 [24] validation_0-merror:0.35 validation_0-mlogloss:0.769829 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76685 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762642 [27] validation_0-merror:0.35 validation_0-mlogloss:0.759548 [28] validation_0-merror:0.35 validation_0-mlogloss:0.76081 [29] validation_0-merror:0.35 validation_0-mlogloss:0.757005 [30] validation_0-merror:0.35 validation_0-mlogloss:0.756554 [31] validation_0-merror:0.35 validation_0-mlogloss:0.760062 [32] validation_0-merror:0.35 validation_0-mlogloss:0.758419 [33] validation_0-merror:0.35 validation_0-mlogloss:0.756691 [34] validation_0-merror:0.35 validation_0-mlogloss:0.756126 [35] validation_0-merror:0.35 validation_0-mlogloss:0.75851 [36] validation_0-merror:0.35 validation_0-mlogloss:0.76136 [37] validation_0-merror:0.35 validation_0-mlogloss:0.764329 [38] validation_0-merror:0.35 validation_0-mlogloss:0.766361 [39] validation_0-merror:0.35 validation_0-mlogloss:0.767162 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.756126 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06085 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02955 [2] validation_0-merror:0.3 validation_0-mlogloss:0.99683 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975814 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.942557 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924182 [6] validation_0-merror:0.3 validation_0-mlogloss:0.904195 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.891619 [8] validation_0-merror:0.3 validation_0-mlogloss:0.872348 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.86068 [10] validation_0-merror:0.3 validation_0-mlogloss:0.850917 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838593 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822241 [13] validation_0-merror:0.3 validation_0-mlogloss:0.811316 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797123 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791287 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786279 [17] validation_0-merror:0.3 validation_0-mlogloss:0.778957 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.771919 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762326 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760889 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759079 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756469 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748913 [24] validation_0-merror:0.3 validation_0-mlogloss:0.742928 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739164 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736233 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.732092 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.727677 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.722963 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.722739 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721958 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717549 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721306 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.717711 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.720756 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.719118 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.716256 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712484 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.712822 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.711205 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.710522 [42] validation_0-merror:0.3 validation_0-mlogloss:0.70855 [43] validation_0-merror:0.3 validation_0-mlogloss:0.710525 [44] validation_0-merror:0.3 validation_0-mlogloss:0.71608 [45] validation_0-merror:0.3 validation_0-mlogloss:0.715663 [46] validation_0-merror:0.3 validation_0-mlogloss:0.713122 [47] validation_0-merror:0.3 validation_0-mlogloss:0.710813 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.70855 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05431 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02123 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988137 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962629 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930843 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90286 [6] validation_0-merror:0.3 validation_0-mlogloss:0.884231 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.87263 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85765 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.8451 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834496 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.81968 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800124 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784038 [14] validation_0-merror:0.3 validation_0-mlogloss:0.773259 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.766634 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.756243 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.74622 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.73706 [19] validation_0-merror:0.3 validation_0-mlogloss:0.731367 [20] validation_0-merror:0.3 validation_0-mlogloss:0.725795 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.72147 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.716529 [23] validation_0-merror:0.3 validation_0-mlogloss:0.712315 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.708288 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.702093 [26] validation_0-merror:0.3 validation_0-mlogloss:0.698054 [27] validation_0-merror:0.3 validation_0-mlogloss:0.694488 [28] validation_0-merror:0.3 validation_0-mlogloss:0.691062 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.687848 [30] validation_0-merror:0.3 validation_0-mlogloss:0.681452 [31] validation_0-merror:0.3 validation_0-mlogloss:0.678252 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.672278 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.667246 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.664873 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.665386 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.666456 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.666872 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667801 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.667937 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.664873 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02825 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996756 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975941 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949124 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926775 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.91165 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.901421 [8] validation_0-merror:0.35 validation_0-mlogloss:0.888321 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.878122 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.864065 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845756 [12] validation_0-merror:0.35 validation_0-mlogloss:0.830164 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818974 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812076 [15] validation_0-merror:0.35 validation_0-mlogloss:0.802386 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792522 [17] validation_0-merror:0.35 validation_0-mlogloss:0.787753 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784419 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778054 [20] validation_0-merror:0.35 validation_0-mlogloss:0.776311 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774777 [22] validation_0-merror:0.35 validation_0-mlogloss:0.772504 [23] validation_0-merror:0.35 validation_0-mlogloss:0.77059 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770052 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767423 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770081 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.770556 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.7716 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.772675 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.775793 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.767423 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03286 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.0006 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982612 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957925 [5] validation_0-merror:0.35 validation_0-mlogloss:0.930698 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911812 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.895619 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874866 [9] validation_0-merror:0.35 validation_0-mlogloss:0.857674 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841593 [11] validation_0-merror:0.3 validation_0-mlogloss:0.825107 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804995 [13] validation_0-merror:0.3 validation_0-mlogloss:0.792563 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.787566 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.776287 [16] validation_0-merror:0.3 validation_0-mlogloss:0.765876 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7582 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752455 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744372 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739878 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738772 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.734275 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726148 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719345 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.714552 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712614 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.707235 [28] validation_0-merror:0.35 validation_0-mlogloss:0.702787 [29] validation_0-merror:0.35 validation_0-mlogloss:0.700565 [30] validation_0-merror:0.35 validation_0-mlogloss:0.701184 [31] validation_0-merror:0.35 validation_0-mlogloss:0.699933 [32] validation_0-merror:0.35 validation_0-mlogloss:0.694646 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.693596 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.690855 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.688142 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693306 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.696103 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.692996 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693241 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.69196 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.688142 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02968 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00214 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.974151 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963893 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939574 [6] validation_0-merror:0.35 validation_0-mlogloss:0.922585 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905578 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890767 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.871743 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.859854 [11] validation_0-merror:0.35 validation_0-mlogloss:0.848215 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.836386 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.825972 [14] validation_0-merror:0.35 validation_0-mlogloss:0.820284 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818858 [16] validation_0-merror:0.35 validation_0-mlogloss:0.80645 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.794131 [18] validation_0-merror:0.35 validation_0-mlogloss:0.78964 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784645 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772233 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764129 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7569 [23] validation_0-merror:0.35 validation_0-mlogloss:0.748522 [24] validation_0-merror:0.35 validation_0-mlogloss:0.73996 [25] validation_0-merror:0.35 validation_0-mlogloss:0.738222 [26] validation_0-merror:0.35 validation_0-mlogloss:0.728888 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.721421 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.717028 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.713124 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707832 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702642 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701419 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698704 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.697277 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694353 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696424 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694115 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694232 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690729 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692035 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691588 [42] validation_0-merror:0.3 validation_0-mlogloss:0.689705 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685822 [44] validation_0-merror:0.3 validation_0-mlogloss:0.685565 [45] validation_0-merror:0.3 validation_0-mlogloss:0.684523 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.683127 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.678773 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679321 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.681577 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.678421 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680435 [52] validation_0-merror:0.3 validation_0-mlogloss:0.681839 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.681678 [54] validation_0-merror:0.3 validation_0-mlogloss:0.682057 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.681611 Stopping. Best iteration: [50] validation_0-merror:0.316667 validation_0-mlogloss:0.678421 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03434 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996976 [3] validation_0-merror:0.35 validation_0-mlogloss:0.972979 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939993 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918951 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898903 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882391 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86166 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844086 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.827456 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.815477 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808116 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797908 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.789814 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.779339 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.773712 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.770427 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.76633 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.763119 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.760897 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.756303 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755068 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.753116 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754499 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.754 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751263 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.746634 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.746455 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.745666 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746879 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.744685 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.741881 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739864 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744206 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.749484 [36] validation_0-merror:0.35 validation_0-mlogloss:0.744443 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.748405 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.748937 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739864 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06833 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03982 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.0015 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.979293 [4] validation_0-merror:0.3 validation_0-mlogloss:0.951841 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.928152 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909439 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.895577 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877837 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863704 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844361 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.835869 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823195 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808391 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796868 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793793 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787336 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782525 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77541 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766167 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.761069 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754799 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750765 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.74346 [24] validation_0-merror:0.35 validation_0-mlogloss:0.74128 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737848 [26] validation_0-merror:0.3 validation_0-mlogloss:0.732555 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727259 [28] validation_0-merror:0.3 validation_0-mlogloss:0.723126 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718532 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714968 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712187 [32] validation_0-merror:0.3 validation_0-mlogloss:0.707997 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708152 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707331 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70992 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.706361 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.705881 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702791 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701682 [40] validation_0-merror:0.3 validation_0-mlogloss:0.696567 [41] validation_0-merror:0.3 validation_0-mlogloss:0.692858 [42] validation_0-merror:0.3 validation_0-mlogloss:0.694184 [43] validation_0-merror:0.3 validation_0-mlogloss:0.69013 [44] validation_0-merror:0.3 validation_0-mlogloss:0.690291 [45] validation_0-merror:0.3 validation_0-mlogloss:0.689851 [46] validation_0-merror:0.3 validation_0-mlogloss:0.688433 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689561 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.69248 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.692719 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690683 [51] validation_0-merror:0.3 validation_0-mlogloss:0.689502 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.688433 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01377 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987559 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958552 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951186 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919705 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899029 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882272 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863366 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844734 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83003 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817422 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80441 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79716 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785651 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78131 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770666 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759789 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754922 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752096 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.741573 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.736601 [22] validation_0-merror:0.35 validation_0-mlogloss:0.728311 [23] validation_0-merror:0.35 validation_0-mlogloss:0.722344 [24] validation_0-merror:0.35 validation_0-mlogloss:0.712328 [25] validation_0-merror:0.35 validation_0-mlogloss:0.710504 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.703997 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.703536 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697835 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696952 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693163 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.68554 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.680765 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.679355 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.676948 [35] validation_0-merror:0.3 validation_0-mlogloss:0.673654 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.672715 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673669 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676853 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672972 [40] validation_0-merror:0.3 validation_0-mlogloss:0.672159 [41] validation_0-merror:0.3 validation_0-mlogloss:0.664903 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.66338 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.660329 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.658406 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.657104 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.655421 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654701 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.652771 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654921 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656192 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.656978 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.657909 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.661874 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.652771 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0642 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03367 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00091 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940066 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918975 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902891 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887519 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86391 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850944 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840922 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830796 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820683 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81228 [14] validation_0-merror:0.35 validation_0-mlogloss:0.808833 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799855 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796813 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793344 [18] validation_0-merror:0.35 validation_0-mlogloss:0.790918 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790197 [20] validation_0-merror:0.35 validation_0-mlogloss:0.786348 [21] validation_0-merror:0.35 validation_0-mlogloss:0.784178 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77942 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774267 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775203 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773963 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771306 [27] validation_0-merror:0.35 validation_0-mlogloss:0.768422 [28] validation_0-merror:0.35 validation_0-mlogloss:0.772398 [29] validation_0-merror:0.35 validation_0-mlogloss:0.768732 [30] validation_0-merror:0.35 validation_0-mlogloss:0.769993 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772816 [32] validation_0-merror:0.35 validation_0-mlogloss:0.771196 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.768422 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06201 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03428 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00276 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974952 [4] validation_0-merror:0.3 validation_0-mlogloss:0.942955 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.921263 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.902678 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887068 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868657 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855424 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.84273 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.82959 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815708 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802696 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.789528 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.783248 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.780206 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.775647 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.768459 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.760234 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.759212 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757138 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753323 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.744319 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73647 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.73283 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.731083 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726507 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.721663 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714951 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.714113 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.712352 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.708039 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.71191 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.709306 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.709901 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70921 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.709419 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.708039 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02068 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990316 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962893 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934558 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908083 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889604 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878026 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862605 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84926 [10] validation_0-merror:0.3 validation_0-mlogloss:0.839444 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.819825 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.802365 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789181 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.778506 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770421 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76373 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.753779 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.745429 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.737401 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.732626 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.728854 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.722306 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.720792 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.718614 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.711496 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.702737 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.698773 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69792 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.692697 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.690102 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.68555 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681993 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677922 [34] validation_0-merror:0.25 validation_0-mlogloss:0.676785 [35] validation_0-merror:0.25 validation_0-mlogloss:0.678205 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.677787 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.677309 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.67652 [39] validation_0-merror:0.25 validation_0-mlogloss:0.673725 [40] validation_0-merror:0.25 validation_0-mlogloss:0.675093 [41] validation_0-merror:0.25 validation_0-mlogloss:0.67429 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.675555 [43] validation_0-merror:0.25 validation_0-mlogloss:0.676662 [44] validation_0-merror:0.25 validation_0-mlogloss:0.67691 Stopping. Best iteration: [39] validation_0-merror:0.25 validation_0-mlogloss:0.673725 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02476 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992998 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942362 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919305 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902205 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891507 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.879728 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868818 [10] validation_0-merror:0.35 validation_0-mlogloss:0.857379 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.844603 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83149 [13] validation_0-merror:0.35 validation_0-mlogloss:0.819219 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812435 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.808499 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.800727 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796346 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.789902 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.785585 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782263 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.779434 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.776044 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.772269 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.771709 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770226 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770774 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.770531 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.771457 [29] validation_0-merror:0.4 validation_0-mlogloss:0.772529 [30] validation_0-merror:0.4 validation_0-mlogloss:0.77403 Stopping. Best iteration: [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770226 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06775 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03876 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00583 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.987398 [4] validation_0-merror:0.4 validation_0-mlogloss:0.965679 [5] validation_0-merror:0.4 validation_0-mlogloss:0.939324 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.921784 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.906096 [8] validation_0-merror:0.35 validation_0-mlogloss:0.886861 [9] validation_0-merror:0.35 validation_0-mlogloss:0.871052 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853115 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837613 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820128 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807827 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799797 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788813 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774306 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765967 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760579 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751497 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745561 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742099 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737061 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730083 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.722884 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720411 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717161 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713769 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709907 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.708293 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710105 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709497 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.703413 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701091 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696484 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.694379 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697518 [37] validation_0-merror:0.3 validation_0-mlogloss:0.700828 [38] validation_0-merror:0.3 validation_0-mlogloss:0.697229 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.695832 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.693446 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.691005 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.691079 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.690594 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.690939 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.688636 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.692356 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.694745 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.697983 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.698955 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.7052 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.688636 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00019 [3] validation_0-merror:0.4 validation_0-mlogloss:0.973054 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964074 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936979 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.917893 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899151 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.88323 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.866503 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.854645 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838807 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827039 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815486 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809377 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807985 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.797137 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785286 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.78035 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774335 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763474 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756243 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.749115 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744762 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73434 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734112 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728188 [27] validation_0-merror:0.3 validation_0-mlogloss:0.725212 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719159 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715161 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709509 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706903 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.707232 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706345 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707757 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.704556 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705888 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.702016 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.70293 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700801 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.701381 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.702163 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.699771 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.696825 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696699 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694322 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.696158 [47] validation_0-merror:0.3 validation_0-mlogloss:0.692493 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.691509 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.69462 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.692739 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.695223 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.696172 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.698152 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.691509 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04392 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00753 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980985 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946818 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.926402 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.906654 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888079 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86904 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.852513 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.83587 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826225 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819699 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.810246 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.801651 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793523 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.787383 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782464 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778924 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772397 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.765964 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.75919 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.757811 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755032 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.754809 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.751981 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.750667 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747075 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745704 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.744167 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746793 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.744193 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.741852 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.740663 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.74273 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.744653 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.739603 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744666 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.744331 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.74152 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.737847 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.734235 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.733874 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.732632 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.734825 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.733946 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.734676 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.734391 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.738728 Stopping. Best iteration: [43] validation_0-merror:0.366667 validation_0-mlogloss:0.732632 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00256 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981399 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955974 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934347 [6] validation_0-merror:0.3 validation_0-mlogloss:0.913107 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899375 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.883185 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86935 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848184 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836786 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824207 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810234 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798499 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797287 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.790586 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.784091 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771538 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767071 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759515 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751041 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748012 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737638 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736979 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732475 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727227 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720028 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.719247 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.71388 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.709333 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703272 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702557 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702858 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700121 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699606 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694897 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694537 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692903 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.689153 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.683376 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.681223 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.682541 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.678591 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.677342 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.67365 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.674781 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.674997 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.67645 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677559 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677468 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.67365 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01098 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987947 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960089 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953188 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922304 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900557 [7] validation_0-merror:0.35 validation_0-mlogloss:0.881398 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865688 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847473 [10] validation_0-merror:0.35 validation_0-mlogloss:0.83305 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818497 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805473 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795905 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787253 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78387 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774165 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762889 [18] validation_0-merror:0.3 validation_0-mlogloss:0.756318 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75008 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73962 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734208 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722656 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.717729 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.708904 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.708036 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.701372 [27] validation_0-merror:0.3 validation_0-mlogloss:0.700421 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695729 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.692558 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.689468 [31] validation_0-merror:0.3 validation_0-mlogloss:0.682131 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.677756 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.675194 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.673414 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.667561 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.665891 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.664438 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.667503 [39] validation_0-merror:0.3 validation_0-mlogloss:0.65944 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.660778 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.65554 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.656624 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.654999 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.653456 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.651033 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.649433 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.648583 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647229 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.64867 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.648947 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.649646 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.647253 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.649783 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647229 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03028 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999634 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968397 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938517 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919962 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.904745 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863189 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.849008 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838965 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829506 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820626 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813322 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807398 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.799836 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797547 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791589 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785724 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785648 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779062 [21] validation_0-merror:0.4 validation_0-mlogloss:0.775556 [22] validation_0-merror:0.4 validation_0-mlogloss:0.770575 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766713 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768581 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.765814 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761487 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759553 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.761887 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.760183 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.761636 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.766186 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.765309 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759553 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0356 [2] validation_0-merror:0.283333 validation_0-mlogloss:1.00195 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973848 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944947 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.92275 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.904713 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.889941 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.870434 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.856337 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843152 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.83089 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815697 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802712 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.793802 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.788129 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783823 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.776777 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769652 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761495 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758985 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757676 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.751375 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.742775 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.740659 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.735969 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.736153 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.731598 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.729636 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.724218 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.723804 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.718608 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.714635 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.717259 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.714123 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.716797 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.715456 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.713889 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.711083 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.711333 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.706919 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.706394 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.706366 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.708316 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.712015 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.708634 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.704272 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.703361 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.705276 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.710033 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.708154 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.708675 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.707 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.703361 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02351 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992297 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965919 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937555 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912339 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894635 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884305 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.867977 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.853988 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839866 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824835 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804091 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.795399 [14] validation_0-merror:0.3 validation_0-mlogloss:0.7869 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778435 [16] validation_0-merror:0.3 validation_0-mlogloss:0.771783 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.761206 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.751527 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.742018 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737926 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.734469 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729413 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728465 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723069 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.71842 [26] validation_0-merror:0.35 validation_0-mlogloss:0.713237 [27] validation_0-merror:0.35 validation_0-mlogloss:0.707978 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707062 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700515 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695816 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691739 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.687451 [33] validation_0-merror:0.3 validation_0-mlogloss:0.683882 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681783 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682367 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.68046 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678819 [38] validation_0-merror:0.3 validation_0-mlogloss:0.678134 [39] validation_0-merror:0.3 validation_0-mlogloss:0.676917 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678665 [41] validation_0-merror:0.3 validation_0-mlogloss:0.678888 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.676866 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.677189 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.679471 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.678679 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67939 [47] validation_0-merror:0.3 validation_0-mlogloss:0.67998 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.676866 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0566 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02727 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.4 validation_0-mlogloss:0.977259 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.94615 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.923932 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.910274 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901793 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.894335 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.883453 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.871311 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.860856 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846462 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.834801 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.827673 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.823602 [16] validation_0-merror:0.35 validation_0-mlogloss:0.814618 [17] validation_0-merror:0.35 validation_0-mlogloss:0.810625 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.808379 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.804621 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.797758 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.795522 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.791215 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.788053 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.785488 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.782026 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.784845 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.785006 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.782315 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.781396 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.782037 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.782564 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.780443 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.782505 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.782475 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.781148 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.782308 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.783443 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.780443 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03032 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998816 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.979399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955755 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929495 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.915039 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902924 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884843 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870703 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.852373 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.834545 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.815148 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803463 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795601 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789566 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.776305 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765522 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.758908 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.749832 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745656 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742965 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736261 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725445 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716418 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.710391 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.704708 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700176 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.691673 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689825 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688244 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690846 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688754 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.684362 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.679737 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.677711 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.678422 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.680949 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.680067 [39] validation_0-merror:0.25 validation_0-mlogloss:0.679213 [40] validation_0-merror:0.25 validation_0-mlogloss:0.677099 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.677559 [42] validation_0-merror:0.25 validation_0-mlogloss:0.675703 [43] validation_0-merror:0.25 validation_0-mlogloss:0.678217 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.678153 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.676478 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.676878 [47] validation_0-merror:0.25 validation_0-mlogloss:0.676423 Stopping. Best iteration: [42] validation_0-merror:0.25 validation_0-mlogloss:0.675703 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.920155 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902761 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88585 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864806 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850942 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835405 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.822335 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809198 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.799328 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797115 [16] validation_0-merror:0.3 validation_0-mlogloss:0.784558 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772572 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766475 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761247 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750977 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743787 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739984 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.735239 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724204 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723653 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716653 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.714157 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707945 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.706991 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704221 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.699879 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.698481 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.695409 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694747 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690482 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.690894 [37] validation_0-merror:0.35 validation_0-mlogloss:0.693284 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.696405 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.693623 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.696237 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690482 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0409 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00266 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.977101 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94361 [5] validation_0-merror:0.4 validation_0-mlogloss:0.925889 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908199 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890338 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874052 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.85753 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840377 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825773 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819021 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.809116 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.802741 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.796468 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791285 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.783027 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.77882 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.771011 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767029 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761421 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761094 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759206 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758096 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756453 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.755859 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.75361 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.749084 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.747341 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.747482 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.743854 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.742322 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.742029 [34] validation_0-merror:0.4 validation_0-mlogloss:0.744567 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.743763 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.741539 [37] validation_0-merror:0.4 validation_0-mlogloss:0.741012 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.741571 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.741461 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.739493 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.735881 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.736449 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.735432 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.737798 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.735941 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.736163 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.732794 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.734077 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.734305 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.730091 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.731278 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.730379 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.731389 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.738549 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.73895 Stopping. Best iteration: [50] validation_0-merror:0.366667 validation_0-mlogloss:0.730091 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03589 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99734 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976211 [4] validation_0-merror:0.35 validation_0-mlogloss:0.953514 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928165 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911862 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898328 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879726 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868263 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849072 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835712 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824208 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809857 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798897 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796671 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791245 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78634 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.7795 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773589 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768006 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763187 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76258 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756402 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.755909 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752414 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.747906 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739944 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737998 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733709 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.732782 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.729435 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728807 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727916 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.725919 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724377 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.718639 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719371 [38] validation_0-merror:0.35 validation_0-mlogloss:0.716367 [39] validation_0-merror:0.35 validation_0-mlogloss:0.713893 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.70779 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.705818 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.706906 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.702938 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698446 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.693007 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.693502 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.694225 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.692892 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.69345 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.690132 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.688523 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684737 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.685284 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.690584 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.689159 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.689618 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.691062 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684737 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01294 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9861 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957694 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951179 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924555 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906695 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887521 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.870254 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.850946 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836604 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823352 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809268 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798668 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790355 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785956 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775968 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764415 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759801 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754668 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745975 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741747 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729448 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721631 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712518 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709866 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703447 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703631 [28] validation_0-merror:0.3 validation_0-mlogloss:0.701002 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699122 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695902 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690658 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687567 [33] validation_0-merror:0.3 validation_0-mlogloss:0.685615 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684707 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676482 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673256 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675515 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673479 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675408 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671376 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671493 [43] validation_0-merror:0.3 validation_0-mlogloss:0.67062 [44] validation_0-merror:0.3 validation_0-mlogloss:0.66871 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665856 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66563 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664944 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.663329 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659998 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.660731 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.663341 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.66263 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.665615 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.667639 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659998 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02888 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997996 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967603 [4] validation_0-merror:0.35 validation_0-mlogloss:0.93977 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922341 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907012 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.892459 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.870763 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854577 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.841841 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830189 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824686 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814748 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808842 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800856 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797482 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790936 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785667 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781734 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778145 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.772675 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76806 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764515 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765917 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763284 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.758898 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754489 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.752486 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.748326 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749964 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.7506 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.748571 [33] validation_0-merror:0.35 validation_0-mlogloss:0.749793 [34] validation_0-merror:0.35 validation_0-mlogloss:0.749625 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.748326 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0372 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00673 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979275 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.958329 [5] validation_0-merror:0.3 validation_0-mlogloss:0.935537 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915749 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902743 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.885724 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.867839 [10] validation_0-merror:0.3 validation_0-mlogloss:0.855025 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830311 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818872 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809347 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803361 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.798249 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790677 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784668 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775057 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772814 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769857 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764097 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75758 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757871 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751056 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751142 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.744914 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.74195 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738392 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739819 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733461 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728558 [33] validation_0-merror:0.3 validation_0-mlogloss:0.73045 [34] validation_0-merror:0.3 validation_0-mlogloss:0.72646 [35] validation_0-merror:0.3 validation_0-mlogloss:0.727413 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726573 [37] validation_0-merror:0.3 validation_0-mlogloss:0.725975 [38] validation_0-merror:0.3 validation_0-mlogloss:0.724508 [39] validation_0-merror:0.3 validation_0-mlogloss:0.724628 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719226 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718851 [42] validation_0-merror:0.3 validation_0-mlogloss:0.719463 [43] validation_0-merror:0.3 validation_0-mlogloss:0.719292 [44] validation_0-merror:0.3 validation_0-mlogloss:0.720679 [45] validation_0-merror:0.3 validation_0-mlogloss:0.717694 [46] validation_0-merror:0.3 validation_0-mlogloss:0.712933 [47] validation_0-merror:0.3 validation_0-mlogloss:0.712361 [48] validation_0-merror:0.3 validation_0-mlogloss:0.71265 [49] validation_0-merror:0.3 validation_0-mlogloss:0.716891 [50] validation_0-merror:0.3 validation_0-mlogloss:0.711654 [51] validation_0-merror:0.3 validation_0-mlogloss:0.713221 [52] validation_0-merror:0.3 validation_0-mlogloss:0.711441 [53] validation_0-merror:0.3 validation_0-mlogloss:0.710761 [54] validation_0-merror:0.3 validation_0-mlogloss:0.714811 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.713966 [56] validation_0-merror:0.3 validation_0-mlogloss:0.711836 [57] validation_0-merror:0.3 validation_0-mlogloss:0.708774 [58] validation_0-merror:0.3 validation_0-mlogloss:0.708417 [59] validation_0-merror:0.3 validation_0-mlogloss:0.708813 [60] validation_0-merror:0.3 validation_0-mlogloss:0.712385 [61] validation_0-merror:0.3 validation_0-mlogloss:0.71552 [62] validation_0-merror:0.3 validation_0-mlogloss:0.719394 [63] validation_0-merror:0.3 validation_0-mlogloss:0.721196 Stopping. Best iteration: [58] validation_0-merror:0.3 validation_0-mlogloss:0.708417 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.991636 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965594 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937782 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912299 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893831 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882221 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.86337 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.849104 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83541 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.816867 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.798306 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.784551 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.776242 [15] validation_0-merror:0.3 validation_0-mlogloss:0.766808 [16] validation_0-merror:0.3 validation_0-mlogloss:0.758166 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.749491 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.738914 [19] validation_0-merror:0.3 validation_0-mlogloss:0.730503 [20] validation_0-merror:0.3 validation_0-mlogloss:0.725736 [21] validation_0-merror:0.3 validation_0-mlogloss:0.722977 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.716968 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.71041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.705425 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.69759 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.696049 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.691339 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.689837 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.684565 [30] validation_0-merror:0.3 validation_0-mlogloss:0.679986 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.676716 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.671678 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.66947 [34] validation_0-merror:0.3 validation_0-mlogloss:0.670739 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.671578 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.671678 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.669955 [38] validation_0-merror:0.3 validation_0-mlogloss:0.670379 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.66947 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03112 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999648 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.982325 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951863 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.929258 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.915485 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.906279 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897229 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.88489 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.872227 [11] validation_0-merror:0.4 validation_0-mlogloss:0.861034 [12] validation_0-merror:0.4 validation_0-mlogloss:0.847435 [13] validation_0-merror:0.4 validation_0-mlogloss:0.836348 [14] validation_0-merror:0.4 validation_0-mlogloss:0.828668 [15] validation_0-merror:0.4 validation_0-mlogloss:0.821021 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.813021 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.808414 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.802282 [19] validation_0-merror:0.4 validation_0-mlogloss:0.798131 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.794447 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.792568 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.788688 [23] validation_0-merror:0.4 validation_0-mlogloss:0.78544 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.782751 [25] validation_0-merror:0.4 validation_0-mlogloss:0.780016 [26] validation_0-merror:0.4 validation_0-mlogloss:0.781137 [27] validation_0-merror:0.4 validation_0-mlogloss:0.779638 [28] validation_0-merror:0.4 validation_0-mlogloss:0.778109 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.776914 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.77963 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.778398 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.778335 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.777618 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.777026 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.776914 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03183 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00109 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.981162 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956488 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.927183 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911045 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900051 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87963 [9] validation_0-merror:0.3 validation_0-mlogloss:0.864406 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846086 [11] validation_0-merror:0.3 validation_0-mlogloss:0.829021 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808902 [13] validation_0-merror:0.3 validation_0-mlogloss:0.795354 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787415 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779752 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766633 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757273 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.751193 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742534 [20] validation_0-merror:0.3 validation_0-mlogloss:0.737808 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73254 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725358 [23] validation_0-merror:0.3 validation_0-mlogloss:0.717529 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711771 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.707467 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705814 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.701222 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.697083 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.69316 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.693923 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.695361 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693592 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.692277 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.690864 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691975 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69066 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.690062 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688111 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.68391 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681467 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.681032 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678471 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675804 [44] validation_0-merror:0.3 validation_0-mlogloss:0.675789 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676764 [46] validation_0-merror:0.3 validation_0-mlogloss:0.677828 [47] validation_0-merror:0.3 validation_0-mlogloss:0.676887 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.675755 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.675183 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.677295 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679024 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.677585 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.678054 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.678708 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.675183 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05669 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02016 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991892 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95749 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950618 [5] validation_0-merror:0.3 validation_0-mlogloss:0.925183 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905937 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890382 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876009 [9] validation_0-merror:0.35 validation_0-mlogloss:0.854234 [10] validation_0-merror:0.35 validation_0-mlogloss:0.844013 [11] validation_0-merror:0.35 validation_0-mlogloss:0.830354 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81808 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.807838 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801758 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803352 [16] validation_0-merror:0.35 validation_0-mlogloss:0.788417 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779233 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766203 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758765 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.748561 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740233 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732151 [24] validation_0-merror:0.3 validation_0-mlogloss:0.726193 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724836 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71442 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710886 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706644 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70041 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693011 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690896 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688463 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687425 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686339 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.683043 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.680637 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673922 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.674795 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672589 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.677147 [41] validation_0-merror:0.3 validation_0-mlogloss:0.678573 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677328 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.677531 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.675814 Stopping. Best iteration: [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672589 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03479 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998026 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972876 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937023 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915024 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893397 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877844 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858019 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841148 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.828531 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818769 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816109 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806429 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801265 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787975 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.782254 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778943 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.777524 [19] validation_0-merror:0.35 validation_0-mlogloss:0.7731 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773004 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76589 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767012 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.76267 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.761466 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.761867 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759763 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.75493 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747511 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748951 [30] validation_0-merror:0.3 validation_0-mlogloss:0.750691 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751969 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750356 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.753809 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747511 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0609 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03344 [2] validation_0-merror:0.3 validation_0-mlogloss:0.991241 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968669 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935849 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91356 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900405 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887344 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872203 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858168 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84474 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83453 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.822189 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811354 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794244 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78633 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777388 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772737 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764019 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759712 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760585 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760844 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759796 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750649 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749206 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.747033 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.73914 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734297 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.734445 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.731825 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.732166 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735762 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.73676 [33] validation_0-merror:0.35 validation_0-mlogloss:0.741283 [34] validation_0-merror:0.35 validation_0-mlogloss:0.746472 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.731825 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05028 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00931 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.976703 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949546 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946196 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917147 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895443 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883631 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865986 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849052 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831934 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821885 [12] validation_0-merror:0.3 validation_0-mlogloss:0.809652 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.797747 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788684 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.784345 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77519 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767127 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764159 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75751 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748327 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742199 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729984 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720497 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.714032 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714884 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709095 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709634 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703631 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703463 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697085 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.692311 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688029 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687108 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.684868 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.681942 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.682416 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681507 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.681916 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683145 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681133 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.679756 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.678622 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.678549 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67653 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676297 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.673388 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.672231 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67176 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67141 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.673089 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.67456 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.674579 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.678744 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.677348 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67141 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0329 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00019 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970966 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.943087 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.923461 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.903328 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886698 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861778 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84958 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837794 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832222 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823358 [13] validation_0-merror:0.35 validation_0-mlogloss:0.814192 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807557 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799179 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79875 [17] validation_0-merror:0.35 validation_0-mlogloss:0.797029 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792105 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790188 [20] validation_0-merror:0.35 validation_0-mlogloss:0.789142 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.785088 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779987 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777034 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779796 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.779672 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.776478 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.777821 [28] validation_0-merror:0.35 validation_0-mlogloss:0.776329 [29] validation_0-merror:0.35 validation_0-mlogloss:0.773293 [30] validation_0-merror:0.35 validation_0-mlogloss:0.77249 [31] validation_0-merror:0.35 validation_0-mlogloss:0.774631 [32] validation_0-merror:0.35 validation_0-mlogloss:0.772926 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.770528 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771838 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.77383 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.775988 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.780491 [38] validation_0-merror:0.35 validation_0-mlogloss:0.77963 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.770528 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06278 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0284 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997013 [3] validation_0-merror:0.4 validation_0-mlogloss:0.976955 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951175 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937892 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927369 [7] validation_0-merror:0.35 validation_0-mlogloss:0.918177 [8] validation_0-merror:0.35 validation_0-mlogloss:0.900608 [9] validation_0-merror:0.35 validation_0-mlogloss:0.888981 [10] validation_0-merror:0.35 validation_0-mlogloss:0.874343 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8611 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.849455 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.840227 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.825826 [15] validation_0-merror:0.3 validation_0-mlogloss:0.823114 [16] validation_0-merror:0.3 validation_0-mlogloss:0.822004 [17] validation_0-merror:0.3 validation_0-mlogloss:0.815123 [18] validation_0-merror:0.3 validation_0-mlogloss:0.804298 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.798839 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.800608 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.796706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.79551 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.789344 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.78648 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.784929 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781736 [27] validation_0-merror:0.35 validation_0-mlogloss:0.780453 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.774853 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.770564 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.768975 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767914 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.765068 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.764284 [34] validation_0-merror:0.3 validation_0-mlogloss:0.761616 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.763767 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.768481 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.765047 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.764178 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.766577 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.761616 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05236 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01856 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986334 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958702 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923089 [5] validation_0-merror:0.3 validation_0-mlogloss:0.89843 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882546 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870543 [8] validation_0-merror:0.3 validation_0-mlogloss:0.854402 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84053 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830252 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8165 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.795266 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.777253 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.76708 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.756388 [16] validation_0-merror:0.25 validation_0-mlogloss:0.748469 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743159 [18] validation_0-merror:0.25 validation_0-mlogloss:0.732728 [19] validation_0-merror:0.25 validation_0-mlogloss:0.723873 [20] validation_0-merror:0.25 validation_0-mlogloss:0.71907 [21] validation_0-merror:0.25 validation_0-mlogloss:0.71542 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.712119 [23] validation_0-merror:0.25 validation_0-mlogloss:0.706068 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.701958 [25] validation_0-merror:0.25 validation_0-mlogloss:0.696365 [26] validation_0-merror:0.25 validation_0-mlogloss:0.692911 [27] validation_0-merror:0.25 validation_0-mlogloss:0.688769 [28] validation_0-merror:0.25 validation_0-mlogloss:0.68952 [29] validation_0-merror:0.25 validation_0-mlogloss:0.685407 [30] validation_0-merror:0.25 validation_0-mlogloss:0.685854 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.683597 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.681755 [33] validation_0-merror:0.25 validation_0-mlogloss:0.679575 [34] validation_0-merror:0.25 validation_0-mlogloss:0.677943 [35] validation_0-merror:0.25 validation_0-mlogloss:0.67895 [36] validation_0-merror:0.25 validation_0-mlogloss:0.678932 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.680561 [38] validation_0-merror:0.25 validation_0-mlogloss:0.680468 [39] validation_0-merror:0.25 validation_0-mlogloss:0.678382 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.677943 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05717 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03184 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00411 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985377 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.95934 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934496 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.922218 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.91566 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.901248 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.887431 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.872985 [11] validation_0-merror:0.35 validation_0-mlogloss:0.861004 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.844802 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.832554 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82536 [15] validation_0-merror:0.35 validation_0-mlogloss:0.821309 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812271 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.807536 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.807014 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.798439 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.800103 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798257 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.798019 [23] validation_0-merror:0.35 validation_0-mlogloss:0.795022 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.793877 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.790697 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.792932 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.794304 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.797505 [29] validation_0-merror:0.35 validation_0-mlogloss:0.800731 [30] validation_0-merror:0.35 validation_0-mlogloss:0.806101 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.790697 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05778 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02912 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995402 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973928 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.955618 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934754 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911823 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901715 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87869 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861434 [10] validation_0-merror:0.4 validation_0-mlogloss:0.849316 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.830972 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813038 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.800352 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793124 [15] validation_0-merror:0.35 validation_0-mlogloss:0.788404 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779372 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771718 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76952 [19] validation_0-merror:0.35 validation_0-mlogloss:0.764123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760021 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762669 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757419 [23] validation_0-merror:0.35 validation_0-mlogloss:0.747679 [24] validation_0-merror:0.35 validation_0-mlogloss:0.742351 [25] validation_0-merror:0.35 validation_0-mlogloss:0.738578 [26] validation_0-merror:0.35 validation_0-mlogloss:0.737081 [27] validation_0-merror:0.35 validation_0-mlogloss:0.733813 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.727874 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722474 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724006 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727105 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723212 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724784 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.723024 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722474 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02056 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994535 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966931 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.958333 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936895 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.918913 [7] validation_0-merror:0.4 validation_0-mlogloss:0.900566 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882669 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.864814 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854466 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843243 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.833193 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.824026 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816882 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816425 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.806004 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792718 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785506 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778467 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.770015 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763156 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754758 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748816 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74122 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.73965 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.729811 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728055 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.720181 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71556 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708455 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.704062 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.702287 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.703029 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.701522 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.697132 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.696334 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.691532 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.691468 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692365 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.693621 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.690521 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.68462 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.682705 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.679375 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.679833 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.680269 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.677183 [48] validation_0-merror:0.3 validation_0-mlogloss:0.675582 [49] validation_0-merror:0.3 validation_0-mlogloss:0.676958 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.674985 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.675889 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676286 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.678188 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.676812 [55] validation_0-merror:0.25 validation_0-mlogloss:0.676014 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.674985 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03819 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00408 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946654 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925719 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902999 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887344 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868173 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853967 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83828 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824878 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819986 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.809734 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.800275 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.786879 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.781045 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.778031 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.777032 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773305 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.77032 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768228 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.765594 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.763888 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761043 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758672 [26] validation_0-merror:0.35 validation_0-mlogloss:0.757044 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756962 [28] validation_0-merror:0.35 validation_0-mlogloss:0.759366 [29] validation_0-merror:0.35 validation_0-mlogloss:0.756045 [30] validation_0-merror:0.35 validation_0-mlogloss:0.76049 [31] validation_0-merror:0.35 validation_0-mlogloss:0.762654 [32] validation_0-merror:0.35 validation_0-mlogloss:0.762995 [33] validation_0-merror:0.35 validation_0-mlogloss:0.761908 [34] validation_0-merror:0.35 validation_0-mlogloss:0.764956 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.756045 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05876 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03185 [2] validation_0-merror:0.216667 validation_0-mlogloss:0.993336 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.977753 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.94657 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923871 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.905214 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.892679 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.878477 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868612 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851121 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842917 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828779 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.812799 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.796581 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795435 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789542 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.783037 [18] validation_0-merror:0.3 validation_0-mlogloss:0.773428 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763397 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759689 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757975 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754959 [23] validation_0-merror:0.3 validation_0-mlogloss:0.745366 [24] validation_0-merror:0.3 validation_0-mlogloss:0.74266 [25] validation_0-merror:0.3 validation_0-mlogloss:0.74041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.734621 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72693 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72305 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.719126 [30] validation_0-merror:0.3 validation_0-mlogloss:0.71945 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719692 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.719548 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.720273 [34] validation_0-merror:0.3 validation_0-mlogloss:0.72096 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.719126 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01001 [2] validation_0-merror:0.3 validation_0-mlogloss:0.975845 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94622 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943124 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913243 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891805 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875043 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855394 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837121 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820359 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807013 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794426 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783267 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776613 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771879 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.762335 [17] validation_0-merror:0.3 validation_0-mlogloss:0.750571 [18] validation_0-merror:0.3 validation_0-mlogloss:0.744338 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738919 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.729799 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.724637 [22] validation_0-merror:0.3 validation_0-mlogloss:0.713999 [23] validation_0-merror:0.3 validation_0-mlogloss:0.708029 [24] validation_0-merror:0.3 validation_0-mlogloss:0.703656 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.702871 [26] validation_0-merror:0.3 validation_0-mlogloss:0.696181 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69605 [28] validation_0-merror:0.3 validation_0-mlogloss:0.690982 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.690313 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688282 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684222 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680646 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679568 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.676044 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673325 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.675717 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.674214 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677872 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674639 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.675501 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673325 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03059 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999463 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936007 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915724 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896006 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88233 [8] validation_0-merror:0.3 validation_0-mlogloss:0.859881 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847014 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83442 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825985 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821344 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811938 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806452 [15] validation_0-merror:0.35 validation_0-mlogloss:0.796235 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795959 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790956 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787381 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787961 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785703 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783706 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779443 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774017 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773189 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770431 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766484 [27] validation_0-merror:0.35 validation_0-mlogloss:0.76376 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767032 [29] validation_0-merror:0.35 validation_0-mlogloss:0.763276 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763669 [31] validation_0-merror:0.35 validation_0-mlogloss:0.767047 [32] validation_0-merror:0.35 validation_0-mlogloss:0.768908 [33] validation_0-merror:0.35 validation_0-mlogloss:0.766244 [34] validation_0-merror:0.35 validation_0-mlogloss:0.766505 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.763276 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06175 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03269 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00129 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.978969 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948835 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.931689 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913479 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898108 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879656 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867483 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856375 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841022 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825625 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816905 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800602 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.796129 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791803 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.785337 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.777606 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768553 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.77137 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771356 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767738 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762152 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.75851 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.753897 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749695 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747446 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741538 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737472 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.7411 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743962 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.739408 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.742709 [34] validation_0-merror:0.3 validation_0-mlogloss:0.74235 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737472 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05514 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02216 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987828 [3] validation_0-merror:0.35 validation_0-mlogloss:0.962558 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931228 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907037 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890929 [7] validation_0-merror:0.35 validation_0-mlogloss:0.877917 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860806 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849421 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840793 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824502 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804916 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.778972 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772275 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.760529 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.743439 [19] validation_0-merror:0.35 validation_0-mlogloss:0.736704 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.7312 [21] validation_0-merror:0.35 validation_0-mlogloss:0.726211 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.722403 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.718273 [24] validation_0-merror:0.35 validation_0-mlogloss:0.714156 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.708719 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.708073 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.704996 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70123 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69742 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.696184 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694842 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692736 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691813 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692193 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694366 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.693272 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694522 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693091 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691813 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03093 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998903 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980272 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.933766 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.919272 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.909245 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.897311 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.886954 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.87325 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.856937 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839306 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.827836 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820006 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812043 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803357 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.79778 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792241 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.786123 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781089 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778006 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775442 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772488 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772358 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76909 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769651 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769705 [28] validation_0-merror:0.35 validation_0-mlogloss:0.764892 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766098 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76799 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.766965 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.769048 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.768689 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.764892 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05801 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00026 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979926 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95676 [5] validation_0-merror:0.35 validation_0-mlogloss:0.93193 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.917078 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903905 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.885211 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869346 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.856187 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839551 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81975 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.806621 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800638 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789051 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780384 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774007 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76675 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760495 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75357 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754279 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749003 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744819 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738703 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733822 [26] validation_0-merror:0.3 validation_0-mlogloss:0.732076 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728227 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72347 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721238 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722602 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.724732 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722597 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.720932 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.716383 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715936 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715265 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717285 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716045 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.717301 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.714783 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.713195 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712077 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.712142 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.715794 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.714431 [46] validation_0-merror:0.3 validation_0-mlogloss:0.717739 [47] validation_0-merror:0.3 validation_0-mlogloss:0.716427 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712077 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02931 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.999417 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973543 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.963799 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.940263 [6] validation_0-merror:0.35 validation_0-mlogloss:0.923553 [7] validation_0-merror:0.35 validation_0-mlogloss:0.906644 [8] validation_0-merror:0.35 validation_0-mlogloss:0.8917 [9] validation_0-merror:0.4 validation_0-mlogloss:0.874668 [10] validation_0-merror:0.4 validation_0-mlogloss:0.862951 [11] validation_0-merror:0.433333 validation_0-mlogloss:0.851475 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.839749 [13] validation_0-merror:0.4 validation_0-mlogloss:0.831274 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.823472 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.822131 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808978 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796778 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792023 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.785701 [20] validation_0-merror:0.35 validation_0-mlogloss:0.776818 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768883 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761734 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754602 [24] validation_0-merror:0.35 validation_0-mlogloss:0.745823 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.744185 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734876 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.725646 [28] validation_0-merror:0.3 validation_0-mlogloss:0.71973 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714852 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710517 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.704003 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704775 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699698 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697454 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.694782 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.696927 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.694931 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.696377 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.693189 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.694646 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.695475 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.694495 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.690529 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688448 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68802 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.688297 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.686027 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.682547 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.684537 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.680283 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.683927 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.685273 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.685244 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.684598 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.684183 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.680283 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997591 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976739 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942729 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922307 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901639 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.887092 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.867694 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850715 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.832341 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822997 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81888 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.807479 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802423 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791679 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784503 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.780139 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776921 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772633 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767416 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76174 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760693 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760319 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763531 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763269 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760715 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755639 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754959 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752356 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753565 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75341 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746727 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743012 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748326 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.751414 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.746406 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.751422 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.751823 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743012 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06779 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03786 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00071 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.978459 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950869 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.92543 [6] validation_0-merror:0.3 validation_0-mlogloss:0.906901 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.893899 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879651 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865403 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847356 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.839188 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826399 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811556 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799627 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797921 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790338 [17] validation_0-merror:0.3 validation_0-mlogloss:0.786297 [18] validation_0-merror:0.3 validation_0-mlogloss:0.778827 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771294 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.766917 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761296 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.75749 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748621 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745853 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741323 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736141 [27] validation_0-merror:0.3 validation_0-mlogloss:0.731858 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731595 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.728357 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723477 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720353 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71649 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715924 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.713252 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715966 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.712548 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.714624 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.712009 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711727 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.706022 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.702521 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.70511 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.701262 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70227 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.701967 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.700523 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.701607 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.706486 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.70753 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.705592 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.704472 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.700523 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01365 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985554 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959021 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.952826 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.9207 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898725 [7] validation_0-merror:0.35 validation_0-mlogloss:0.88116 [8] validation_0-merror:0.35 validation_0-mlogloss:0.862816 [9] validation_0-merror:0.35 validation_0-mlogloss:0.845622 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.833071 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.819167 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.806166 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791643 [14] validation_0-merror:0.35 validation_0-mlogloss:0.780915 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.776643 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765454 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.754917 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749989 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.745177 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.736008 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731367 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723296 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.717468 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709806 [25] validation_0-merror:0.3 validation_0-mlogloss:0.708098 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702263 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.702368 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696678 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694874 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.69296 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686816 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.682683 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682222 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.679995 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.676238 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.675999 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.672799 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.674056 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671265 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.669985 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.6675 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665377 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.66262 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660481 [45] validation_0-merror:0.3 validation_0-mlogloss:0.656535 [46] validation_0-merror:0.3 validation_0-mlogloss:0.655317 [47] validation_0-merror:0.3 validation_0-mlogloss:0.657177 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.654642 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.655439 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.656834 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.658691 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656558 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.661064 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.654642 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03385 [2] validation_0-merror:0.35 validation_0-mlogloss:1.002 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96839 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937049 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914966 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898208 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884606 [8] validation_0-merror:0.35 validation_0-mlogloss:0.86019 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846193 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834012 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824645 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816669 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805922 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804214 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796972 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794437 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790456 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786825 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786327 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781699 [21] validation_0-merror:0.35 validation_0-mlogloss:0.779297 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772977 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.766791 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767526 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76733 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764784 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.765198 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.766126 [29] validation_0-merror:0.35 validation_0-mlogloss:0.765437 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.765311 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767815 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.764784 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03521 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00513 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977284 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944813 [5] validation_0-merror:0.25 validation_0-mlogloss:0.92215 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.90191 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.887606 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873341 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85945 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843241 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.831198 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816837 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.804689 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790885 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787945 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783494 [17] validation_0-merror:0.25 validation_0-mlogloss:0.777374 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.769941 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.763459 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.762744 [21] validation_0-merror:0.3 validation_0-mlogloss:0.759974 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754172 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.747682 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744002 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7422 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74022 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.737955 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.736795 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.730431 [30] validation_0-merror:0.3 validation_0-mlogloss:0.733999 [31] validation_0-merror:0.3 validation_0-mlogloss:0.732436 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728273 [33] validation_0-merror:0.3 validation_0-mlogloss:0.732457 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732382 [35] validation_0-merror:0.3 validation_0-mlogloss:0.733981 [36] validation_0-merror:0.3 validation_0-mlogloss:0.731718 [37] validation_0-merror:0.3 validation_0-mlogloss:0.73104 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.728273 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0226 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.991947 [3] validation_0-merror:0.3 validation_0-mlogloss:0.964703 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93586 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.911552 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89336 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884838 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865605 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854017 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842054 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824654 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807502 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796241 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786596 [15] validation_0-merror:0.35 validation_0-mlogloss:0.775795 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765555 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.757342 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.747607 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.740651 [20] validation_0-merror:0.35 validation_0-mlogloss:0.735631 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731549 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.726322 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720958 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719415 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.713422 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70633 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703423 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701902 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.697802 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.694654 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.694092 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.691998 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688372 [34] validation_0-merror:0.3 validation_0-mlogloss:0.68624 [35] validation_0-merror:0.3 validation_0-mlogloss:0.686496 [36] validation_0-merror:0.3 validation_0-mlogloss:0.68572 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686518 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685217 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684371 [40] validation_0-merror:0.3 validation_0-mlogloss:0.685882 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686661 [42] validation_0-merror:0.3 validation_0-mlogloss:0.687457 [43] validation_0-merror:0.3 validation_0-mlogloss:0.687886 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688574 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.684371 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05932 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03192 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999153 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981559 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957057 [5] validation_0-merror:0.4 validation_0-mlogloss:0.935436 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.919533 [7] validation_0-merror:0.35 validation_0-mlogloss:0.910744 [8] validation_0-merror:0.35 validation_0-mlogloss:0.899502 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.887558 [10] validation_0-merror:0.35 validation_0-mlogloss:0.877814 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.86215 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849842 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.839847 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.833428 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.8236 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.816253 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.812272 [18] validation_0-merror:0.35 validation_0-mlogloss:0.80573 [19] validation_0-merror:0.35 validation_0-mlogloss:0.800537 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.795723 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.792436 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.788197 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.784865 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.784487 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.783879 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.783918 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.785407 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.783872 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.783915 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.785391 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.784475 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.784981 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.786957 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.783872 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03443 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00076 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981152 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.958429 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930916 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.917609 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.904035 [8] validation_0-merror:0.3 validation_0-mlogloss:0.885372 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868333 [10] validation_0-merror:0.3 validation_0-mlogloss:0.850997 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835744 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818554 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807676 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799559 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789855 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776916 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768967 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766262 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758424 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754918 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752831 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746829 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738624 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732169 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728656 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727867 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724141 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719986 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716182 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719235 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71778 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714726 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712179 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70621 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704256 [36] validation_0-merror:0.3 validation_0-mlogloss:0.705309 [37] validation_0-merror:0.3 validation_0-mlogloss:0.709351 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707149 [39] validation_0-merror:0.3 validation_0-mlogloss:0.705634 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702056 [41] validation_0-merror:0.3 validation_0-mlogloss:0.701093 [42] validation_0-merror:0.3 validation_0-mlogloss:0.700036 [43] validation_0-merror:0.3 validation_0-mlogloss:0.697994 [44] validation_0-merror:0.3 validation_0-mlogloss:0.697261 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695676 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.697584 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.698855 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.699278 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.700336 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.705419 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695676 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997809 [3] validation_0-merror:0.4 validation_0-mlogloss:0.971621 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962824 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935785 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91683 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901639 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88586 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869014 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.85641 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841141 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828142 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813467 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807651 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80537 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794433 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782007 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777583 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.770744 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761244 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753336 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746175 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742411 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731717 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731372 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724821 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721313 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715136 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710822 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704871 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701697 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700657 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698649 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.699831 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.696545 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697803 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.693843 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694586 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.6931 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695455 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.692093 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.689651 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.686586 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.685988 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683669 [46] validation_0-merror:0.3 validation_0-mlogloss:0.684357 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682445 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682109 [49] validation_0-merror:0.3 validation_0-mlogloss:0.684669 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68319 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.68709 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688039 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.691414 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.682109 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04392 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00753 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982218 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950012 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.929942 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91034 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891149 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873556 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857604 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840617 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831493 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827077 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817899 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811912 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80486 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798641 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791739 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784447 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77815 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772087 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765545 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764235 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.76176 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.762454 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759512 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757937 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754698 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.751442 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749079 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750216 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746716 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.745054 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744471 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748182 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750444 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.746705 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.751832 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.75133 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744471 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00252 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981356 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955933 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.93315 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911457 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.898561 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883802 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.871214 [10] validation_0-merror:0.35 validation_0-mlogloss:0.850042 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838988 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826034 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809947 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798176 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796224 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789544 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783061 [18] validation_0-merror:0.3 validation_0-mlogloss:0.769569 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765749 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.759467 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.750606 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747407 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738063 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.737269 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.732708 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727457 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721653 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718736 [29] validation_0-merror:0.3 validation_0-mlogloss:0.713062 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707621 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702958 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702171 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702735 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700155 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699462 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694795 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.694516 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69223 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688625 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.682806 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.680599 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681964 [43] validation_0-merror:0.3 validation_0-mlogloss:0.678661 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677295 [45] validation_0-merror:0.3 validation_0-mlogloss:0.674106 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675144 [47] validation_0-merror:0.3 validation_0-mlogloss:0.675947 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678922 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680066 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677415 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.674106 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0129 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987954 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957966 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95037 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918994 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897442 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880364 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864901 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846579 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833381 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819625 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80754 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798395 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789785 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787888 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77847 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767252 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760834 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755476 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.744782 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741832 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730807 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725628 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718435 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716705 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.711244 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709927 [28] validation_0-merror:0.3 validation_0-mlogloss:0.706532 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703083 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700172 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694175 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689294 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686392 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684115 [35] validation_0-merror:0.3 validation_0-mlogloss:0.677755 [36] validation_0-merror:0.3 validation_0-mlogloss:0.67738 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67414 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675258 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672069 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674043 [41] validation_0-merror:0.3 validation_0-mlogloss:0.66841 [42] validation_0-merror:0.3 validation_0-mlogloss:0.669174 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667612 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666039 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664014 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.663294 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660425 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.657984 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.657843 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.658326 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.659164 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.658599 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.662573 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.663748 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.657843 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02865 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998635 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968121 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936061 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917092 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902139 [7] validation_0-merror:0.35 validation_0-mlogloss:0.884461 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.859681 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845183 [10] validation_0-merror:0.35 validation_0-mlogloss:0.83546 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826145 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819429 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811661 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.807432 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801867 [16] validation_0-merror:0.4 validation_0-mlogloss:0.799067 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793315 [18] validation_0-merror:0.4 validation_0-mlogloss:0.789058 [19] validation_0-merror:0.4 validation_0-mlogloss:0.790176 [20] validation_0-merror:0.4 validation_0-mlogloss:0.785167 [21] validation_0-merror:0.4 validation_0-mlogloss:0.781802 [22] validation_0-merror:0.4 validation_0-mlogloss:0.778375 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776121 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777262 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.775231 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769907 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769029 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.767654 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.766649 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.767042 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.769558 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.76861 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.769286 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.770795 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.766649 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03563 [2] validation_0-merror:0.283333 validation_0-mlogloss:1.00259 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974489 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.945572 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922269 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.902759 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887685 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868326 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85461 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.841531 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828912 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.814938 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802863 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.793937 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791238 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786616 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.78008 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.772929 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.76546 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762611 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760364 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.752906 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.745461 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.741706 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738038 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735244 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.730312 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.728171 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.723351 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.724533 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.718794 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.712211 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.718324 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.71613 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.718255 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.716706 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.716053 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.712211 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02461 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993286 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968901 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939525 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913703 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89438 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883568 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863052 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.850563 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836948 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819528 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.797793 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789036 [14] validation_0-merror:0.3 validation_0-mlogloss:0.780076 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771466 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.761963 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.753924 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.744102 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.737856 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732435 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.729714 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.724998 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.717909 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.716263 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.712159 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.70579 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.701913 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70163 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.697801 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695949 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.691937 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690443 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686733 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68615 [35] validation_0-merror:0.3 validation_0-mlogloss:0.686392 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686699 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686849 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68654 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687607 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68615 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05951 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03143 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00242 [3] validation_0-merror:0.45 validation_0-mlogloss:0.983182 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.953329 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.932953 [6] validation_0-merror:0.4 validation_0-mlogloss:0.917782 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.912706 [8] validation_0-merror:0.35 validation_0-mlogloss:0.90281 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.890751 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.879031 [11] validation_0-merror:0.4 validation_0-mlogloss:0.868568 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.854597 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.84297 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.83529 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.82491 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.8164 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.812686 [18] validation_0-merror:0.4 validation_0-mlogloss:0.809762 [19] validation_0-merror:0.4 validation_0-mlogloss:0.80634 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.804485 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.801506 [22] validation_0-merror:0.4 validation_0-mlogloss:0.799009 [23] validation_0-merror:0.4 validation_0-mlogloss:0.796015 [24] validation_0-merror:0.4 validation_0-mlogloss:0.79362 [25] validation_0-merror:0.4 validation_0-mlogloss:0.790357 [26] validation_0-merror:0.4 validation_0-mlogloss:0.793183 [27] validation_0-merror:0.4 validation_0-mlogloss:0.792937 [28] validation_0-merror:0.4 validation_0-mlogloss:0.791425 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.790977 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.792533 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.790357 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02907 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997223 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976821 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95424 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927581 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912104 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899038 [8] validation_0-merror:0.3 validation_0-mlogloss:0.881587 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.867141 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849052 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.83194 [12] validation_0-merror:0.3 validation_0-mlogloss:0.817999 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806767 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801407 [15] validation_0-merror:0.3 validation_0-mlogloss:0.793021 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.777891 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768551 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.761562 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.752917 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.750616 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.749889 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.742634 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733484 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726903 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.72537 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.724344 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721184 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.715863 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.710814 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.70888 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.709239 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.704561 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.703152 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.702581 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.699965 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701899 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.704756 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.703902 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.703628 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.7007 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.699965 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.940185 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921762 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.904489 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887562 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866207 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851794 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836499 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823473 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.81022 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80042 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798223 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785796 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773933 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.770736 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766051 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755795 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.748506 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744689 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.739014 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728209 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.728287 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721389 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.718035 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711862 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710831 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704732 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.700356 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.699712 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696842 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696297 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69214 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692557 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692076 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695237 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.694722 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697402 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.697173 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.696638 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692076 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0409 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00266 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978075 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945551 [5] validation_0-merror:0.4 validation_0-mlogloss:0.927862 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.909895 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89239 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.876195 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.860119 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842907 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83096 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824283 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.812473 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805924 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799634 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794508 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786368 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781896 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774169 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77009 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.764443 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764188 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762376 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761267 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759982 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.758771 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.756481 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.752583 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.750406 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.751579 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.747932 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746568 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746354 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74902 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748168 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.746274 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.745623 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.745827 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.745732 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.743762 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740119 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740792 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.740183 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.742568 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.739322 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.739942 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.736663 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.738022 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.738303 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.734164 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.736209 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.73809 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.739146 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.746443 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.747702 Stopping. Best iteration: [50] validation_0-merror:0.366667 validation_0-mlogloss:0.734164 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03589 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99734 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976211 [4] validation_0-merror:0.35 validation_0-mlogloss:0.953514 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928733 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912403 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898852 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880235 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868629 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849457 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836107 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824461 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810063 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799079 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797752 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792233 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.787365 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78076 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77695 [20] validation_0-merror:0.3 validation_0-mlogloss:0.771182 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765973 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765472 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.759113 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.758616 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756686 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752064 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744107 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.742881 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738098 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734354 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730912 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.730389 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.729921 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727865 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.726176 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.720376 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.720992 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717822 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.715345 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.70927 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.707027 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.70819 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703479 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.699231 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.693401 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694043 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.694873 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.693213 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.693597 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.690275 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.688766 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.685033 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.685503 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.690095 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.688771 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690187 [57] validation_0-merror:0.3 validation_0-mlogloss:0.689438 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.685033 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01397 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985324 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957136 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948246 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920464 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904486 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885462 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868814 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84753 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834704 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82234 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808832 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797195 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788754 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785035 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773472 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761657 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75662 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751225 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74365 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740368 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728482 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721034 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.712773 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709399 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704076 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.70387 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701239 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.699049 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.696261 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692879 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688767 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687046 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685687 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.680406 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.67832 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.675395 [38] validation_0-merror:0.3 validation_0-mlogloss:0.677963 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673007 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.67493 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.672257 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672271 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.671132 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.669889 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.665854 [46] validation_0-merror:0.3 validation_0-mlogloss:0.664687 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.662749 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661112 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.6603 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.660896 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.662871 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.662121 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.665076 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.6665 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.6603 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02743 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997662 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967591 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.938197 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904827 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89038 [8] validation_0-merror:0.4 validation_0-mlogloss:0.868793 [9] validation_0-merror:0.4 validation_0-mlogloss:0.853994 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841408 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.829963 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822439 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814769 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810045 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801782 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798626 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793752 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.788084 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783498 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781593 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77616 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.770167 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767042 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.768178 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765836 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.762552 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758455 [28] validation_0-merror:0.35 validation_0-mlogloss:0.755871 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752905 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753505 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754053 [32] validation_0-merror:0.35 validation_0-mlogloss:0.752497 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752182 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.751111 [35] validation_0-merror:0.35 validation_0-mlogloss:0.750952 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.752262 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.7554 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.753753 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.75219 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.751692 Stopping. Best iteration: [35] validation_0-merror:0.35 validation_0-mlogloss:0.750952 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0372 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00752 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980017 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.959025 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936146 [6] validation_0-merror:0.3 validation_0-mlogloss:0.916659 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903602 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.886576 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869567 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.856729 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.844768 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830841 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818394 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810414 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806107 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801097 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794086 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78872 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779728 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777527 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775709 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770091 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763892 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764129 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756986 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.757144 [27] validation_0-merror:0.3 validation_0-mlogloss:0.750667 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747945 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743666 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.74572 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.739658 [32] validation_0-merror:0.3 validation_0-mlogloss:0.734132 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735736 [34] validation_0-merror:0.3 validation_0-mlogloss:0.73184 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731339 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727995 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727873 [38] validation_0-merror:0.3 validation_0-mlogloss:0.726759 [39] validation_0-merror:0.3 validation_0-mlogloss:0.72709 [40] validation_0-merror:0.3 validation_0-mlogloss:0.721987 [41] validation_0-merror:0.3 validation_0-mlogloss:0.72112 [42] validation_0-merror:0.3 validation_0-mlogloss:0.72172 [43] validation_0-merror:0.3 validation_0-mlogloss:0.722801 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722833 [45] validation_0-merror:0.3 validation_0-mlogloss:0.719618 [46] validation_0-merror:0.3 validation_0-mlogloss:0.715198 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.714661 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.715442 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.718116 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.716472 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.717899 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.7161 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.714661 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02416 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.992472 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.967207 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939023 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91529 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894486 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881328 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860526 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847881 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.834945 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.817574 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798783 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.785277 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.777441 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.767262 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.756113 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.747455 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.736973 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.72886 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.723498 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.720161 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.713184 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.708921 [24] validation_0-merror:0.3 validation_0-mlogloss:0.704164 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.69528 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.689175 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.684444 [28] validation_0-merror:0.3 validation_0-mlogloss:0.68235 [29] validation_0-merror:0.3 validation_0-mlogloss:0.677467 [30] validation_0-merror:0.3 validation_0-mlogloss:0.675336 [31] validation_0-merror:0.3 validation_0-mlogloss:0.672385 [32] validation_0-merror:0.3 validation_0-mlogloss:0.672407 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.67135 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.671641 [35] validation_0-merror:0.3 validation_0-mlogloss:0.671235 [36] validation_0-merror:0.3 validation_0-mlogloss:0.671247 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669733 [38] validation_0-merror:0.3 validation_0-mlogloss:0.670939 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671406 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673617 [41] validation_0-merror:0.3 validation_0-mlogloss:0.674098 [42] validation_0-merror:0.3 validation_0-mlogloss:0.674028 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.669733 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03221 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0017 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.98586 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956805 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.933568 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.919369 [7] validation_0-merror:0.4 validation_0-mlogloss:0.913009 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.904784 [9] validation_0-merror:0.433333 validation_0-mlogloss:0.892389 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.879359 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.869171 [12] validation_0-merror:0.4 validation_0-mlogloss:0.855506 [13] validation_0-merror:0.4 validation_0-mlogloss:0.843961 [14] validation_0-merror:0.4 validation_0-mlogloss:0.835946 [15] validation_0-merror:0.4 validation_0-mlogloss:0.826068 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.818601 [17] validation_0-merror:0.4 validation_0-mlogloss:0.81527 [18] validation_0-merror:0.4 validation_0-mlogloss:0.812287 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.809918 [20] validation_0-merror:0.4 validation_0-mlogloss:0.805922 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.804586 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.800969 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.797261 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.793996 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.792035 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.789857 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.788865 [28] validation_0-merror:0.4 validation_0-mlogloss:0.787473 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.78581 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.788356 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.78829 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.78845 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.789448 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.789128 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.78581 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999491 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979503 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954885 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925447 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.910109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.881398 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865461 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847037 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830026 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.812436 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798655 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791509 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784171 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770272 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760395 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757406 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747381 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740439 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739136 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732598 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724646 [24] validation_0-merror:0.3 validation_0-mlogloss:0.720834 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715629 [26] validation_0-merror:0.3 validation_0-mlogloss:0.715213 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707778 [28] validation_0-merror:0.3 validation_0-mlogloss:0.702024 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699203 [30] validation_0-merror:0.3 validation_0-mlogloss:0.699147 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699024 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697546 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696367 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694144 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692731 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69539 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695237 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69362 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690991 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.688882 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688272 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.685939 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.683171 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684365 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.683761 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682467 [47] validation_0-merror:0.3 validation_0-mlogloss:0.681395 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681999 [49] validation_0-merror:0.3 validation_0-mlogloss:0.681399 [50] validation_0-merror:0.3 validation_0-mlogloss:0.681916 [51] validation_0-merror:0.3 validation_0-mlogloss:0.682634 [52] validation_0-merror:0.3 validation_0-mlogloss:0.681993 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.681395 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05669 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02026 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992015 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957373 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950769 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926423 [6] validation_0-merror:0.3 validation_0-mlogloss:0.906878 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893011 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.87835 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859781 [10] validation_0-merror:0.35 validation_0-mlogloss:0.848826 [11] validation_0-merror:0.35 validation_0-mlogloss:0.835582 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821663 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.812466 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806096 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.806138 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.792953 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78148 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773409 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767956 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762483 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751686 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742822 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734877 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.729516 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728156 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718032 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716134 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709923 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703068 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695754 [31] validation_0-merror:0.3 validation_0-mlogloss:0.692295 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691358 [33] validation_0-merror:0.3 validation_0-mlogloss:0.689829 [34] validation_0-merror:0.3 validation_0-mlogloss:0.687974 [35] validation_0-merror:0.3 validation_0-mlogloss:0.685769 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683725 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675066 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675017 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673801 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.675704 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.674694 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672611 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673392 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672979 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670406 [46] validation_0-merror:0.3 validation_0-mlogloss:0.668614 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.66793 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668601 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.67045 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.669522 [51] validation_0-merror:0.3 validation_0-mlogloss:0.670563 [52] validation_0-merror:0.3 validation_0-mlogloss:0.67038 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.66793 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03511 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999686 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975631 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944729 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921951 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900232 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886252 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867216 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849105 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836483 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825193 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.824005 [13] validation_0-merror:0.35 validation_0-mlogloss:0.812196 [14] validation_0-merror:0.35 validation_0-mlogloss:0.806759 [15] validation_0-merror:0.35 validation_0-mlogloss:0.79316 [16] validation_0-merror:0.35 validation_0-mlogloss:0.790829 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.786845 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785104 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785584 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.78571 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.777574 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779287 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.776722 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.775374 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.776313 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774085 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.77229 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.76482 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.766085 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.766738 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.769372 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767106 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767347 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.76482 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06098 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03353 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.991638 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969117 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936306 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91503 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901973 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888842 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.873939 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860556 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846792 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836432 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.82443 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814504 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796942 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790224 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780897 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776297 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767122 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762489 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762593 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757061 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747431 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74648 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743197 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73612 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.733599 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731054 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727781 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728825 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730833 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73239 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.736663 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.739861 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.727781 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05028 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00952 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977936 [3] validation_0-merror:0.35 validation_0-mlogloss:0.950437 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949745 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.920905 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901083 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890737 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875446 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859529 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841293 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833819 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.820746 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807803 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798554 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797538 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.789157 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782509 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777629 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771889 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763224 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75677 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.747918 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736896 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729237 [25] validation_0-merror:0.3 validation_0-mlogloss:0.730715 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724131 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72501 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.719478 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.717348 [30] validation_0-merror:0.3 validation_0-mlogloss:0.71402 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.710943 [32] validation_0-merror:0.3 validation_0-mlogloss:0.706941 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.71009 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709703 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706648 [36] validation_0-merror:0.3 validation_0-mlogloss:0.707898 [37] validation_0-merror:0.3 validation_0-mlogloss:0.707003 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.707918 [39] validation_0-merror:0.3 validation_0-mlogloss:0.705098 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702606 [41] validation_0-merror:0.3 validation_0-mlogloss:0.701361 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.698549 [43] validation_0-merror:0.3 validation_0-mlogloss:0.698308 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695987 [45] validation_0-merror:0.3 validation_0-mlogloss:0.697644 [46] validation_0-merror:0.3 validation_0-mlogloss:0.696354 [47] validation_0-merror:0.3 validation_0-mlogloss:0.697149 [48] validation_0-merror:0.3 validation_0-mlogloss:0.694939 [49] validation_0-merror:0.3 validation_0-mlogloss:0.697067 [50] validation_0-merror:0.3 validation_0-mlogloss:0.697417 [51] validation_0-merror:0.3 validation_0-mlogloss:0.699338 [52] validation_0-merror:0.3 validation_0-mlogloss:0.698072 [53] validation_0-merror:0.3 validation_0-mlogloss:0.701795 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.694939 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06257 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03417 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00594 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976247 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949272 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929973 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910821 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894657 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870927 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859416 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850567 [11] validation_0-merror:0.35 validation_0-mlogloss:0.847447 [12] validation_0-merror:0.35 validation_0-mlogloss:0.839434 [13] validation_0-merror:0.35 validation_0-mlogloss:0.830483 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.824675 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812212 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.812301 [17] validation_0-merror:0.35 validation_0-mlogloss:0.812365 [18] validation_0-merror:0.35 validation_0-mlogloss:0.808214 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.804113 [20] validation_0-merror:0.35 validation_0-mlogloss:0.801183 [21] validation_0-merror:0.35 validation_0-mlogloss:0.797667 [22] validation_0-merror:0.35 validation_0-mlogloss:0.794315 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.792901 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.794452 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.794306 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.79276 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.789864 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.788675 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.784707 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.784385 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.783891 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.784335 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.780944 [34] validation_0-merror:0.35 validation_0-mlogloss:0.782844 [35] validation_0-merror:0.35 validation_0-mlogloss:0.784351 [36] validation_0-merror:0.35 validation_0-mlogloss:0.785821 [37] validation_0-merror:0.35 validation_0-mlogloss:0.791561 [38] validation_0-merror:0.35 validation_0-mlogloss:0.792446 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.780944 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06349 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99877 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978838 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952164 [5] validation_0-merror:0.35 validation_0-mlogloss:0.940761 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.930403 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.92165 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.902899 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.893373 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.880009 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.86677 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.856595 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.848757 [14] validation_0-merror:0.3 validation_0-mlogloss:0.833486 [15] validation_0-merror:0.3 validation_0-mlogloss:0.830728 [16] validation_0-merror:0.3 validation_0-mlogloss:0.827632 [17] validation_0-merror:0.3 validation_0-mlogloss:0.82135 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.810139 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.802905 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.805283 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.801951 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.80667 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.798813 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.796587 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.796852 [26] validation_0-merror:0.35 validation_0-mlogloss:0.793938 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.793901 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.788783 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.781658 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.780279 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.781735 [32] validation_0-merror:0.3 validation_0-mlogloss:0.775592 [33] validation_0-merror:0.3 validation_0-mlogloss:0.777183 [34] validation_0-merror:0.3 validation_0-mlogloss:0.778559 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.779651 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.782719 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.784146 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.775592 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05279 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02001 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989933 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964693 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93082 [5] validation_0-merror:0.3 validation_0-mlogloss:0.905519 [6] validation_0-merror:0.3 validation_0-mlogloss:0.890294 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.878324 [8] validation_0-merror:0.3 validation_0-mlogloss:0.860846 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846476 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837382 [11] validation_0-merror:0.3 validation_0-mlogloss:0.821803 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800662 [13] validation_0-merror:0.25 validation_0-mlogloss:0.783878 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.7753 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.765494 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756835 [17] validation_0-merror:0.3 validation_0-mlogloss:0.750561 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.740549 [19] validation_0-merror:0.25 validation_0-mlogloss:0.736617 [20] validation_0-merror:0.25 validation_0-mlogloss:0.729984 [21] validation_0-merror:0.25 validation_0-mlogloss:0.726953 [22] validation_0-merror:0.25 validation_0-mlogloss:0.724004 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.719865 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.718059 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.713706 [26] validation_0-merror:0.25 validation_0-mlogloss:0.710347 [27] validation_0-merror:0.25 validation_0-mlogloss:0.705244 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.704766 [29] validation_0-merror:0.25 validation_0-mlogloss:0.702098 [30] validation_0-merror:0.25 validation_0-mlogloss:0.701267 [31] validation_0-merror:0.25 validation_0-mlogloss:0.698534 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.694829 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.694813 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.691861 [35] validation_0-merror:0.25 validation_0-mlogloss:0.690189 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.689672 [37] validation_0-merror:0.25 validation_0-mlogloss:0.688821 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.688776 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.688933 [40] validation_0-merror:0.25 validation_0-mlogloss:0.68876 [41] validation_0-merror:0.25 validation_0-mlogloss:0.686622 [42] validation_0-merror:0.25 validation_0-mlogloss:0.684072 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.684542 [44] validation_0-merror:0.25 validation_0-mlogloss:0.684268 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.684733 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.685256 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.686091 Stopping. Best iteration: [42] validation_0-merror:0.25 validation_0-mlogloss:0.684072 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05681 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03218 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00614 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.989064 [4] validation_0-merror:0.4 validation_0-mlogloss:0.960083 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.933997 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921394 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.917176 [8] validation_0-merror:0.35 validation_0-mlogloss:0.906694 [9] validation_0-merror:0.35 validation_0-mlogloss:0.895567 [10] validation_0-merror:0.35 validation_0-mlogloss:0.881944 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.870487 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.857188 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.845347 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.838722 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.83329 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.823515 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.819105 [18] validation_0-merror:0.35 validation_0-mlogloss:0.818725 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.813538 [20] validation_0-merror:0.35 validation_0-mlogloss:0.813788 [21] validation_0-merror:0.35 validation_0-mlogloss:0.812703 [22] validation_0-merror:0.35 validation_0-mlogloss:0.813232 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.809173 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.807843 [25] validation_0-merror:0.35 validation_0-mlogloss:0.80568 [26] validation_0-merror:0.35 validation_0-mlogloss:0.809231 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.812217 [28] validation_0-merror:0.35 validation_0-mlogloss:0.813828 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.816184 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.82121 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.80568 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05704 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03061 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995924 [3] validation_0-merror:0.35 validation_0-mlogloss:0.97428 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953574 [5] validation_0-merror:0.35 validation_0-mlogloss:0.932914 [6] validation_0-merror:0.35 validation_0-mlogloss:0.909844 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.898763 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876487 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.860061 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847729 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831964 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811275 [13] validation_0-merror:0.35 validation_0-mlogloss:0.800582 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794793 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788727 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780092 [17] validation_0-merror:0.35 validation_0-mlogloss:0.770171 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762722 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758065 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751577 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757607 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74977 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748615 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743502 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738158 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733978 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.72905 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.72431 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.723514 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.725038 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72688 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.72622 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724531 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.723303 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.722293 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.724046 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.725577 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.727133 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.725993 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.725726 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.722293 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02056 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994535 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966931 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.958333 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936935 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.918942 [7] validation_0-merror:0.4 validation_0-mlogloss:0.900428 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882535 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.866304 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.855933 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.846255 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.834936 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82575 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818211 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818732 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809006 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799289 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.792552 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.785807 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777429 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770734 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.762036 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756473 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.748896 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748545 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.738393 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737605 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730733 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72591 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718628 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712259 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.710886 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711943 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710502 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709824 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.705747 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.70094 [38] validation_0-merror:0.3 validation_0-mlogloss:0.701516 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701144 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.701732 [41] validation_0-merror:0.3 validation_0-mlogloss:0.699907 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.693524 [43] validation_0-merror:0.3 validation_0-mlogloss:0.691091 [44] validation_0-merror:0.3 validation_0-mlogloss:0.690819 [45] validation_0-merror:0.3 validation_0-mlogloss:0.691643 [46] validation_0-merror:0.3 validation_0-mlogloss:0.692272 [47] validation_0-merror:0.3 validation_0-mlogloss:0.688909 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.687345 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.689683 [50] validation_0-merror:0.3 validation_0-mlogloss:0.687184 [51] validation_0-merror:0.3 validation_0-mlogloss:0.687938 [52] validation_0-merror:0.3 validation_0-mlogloss:0.688608 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.69045 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.689955 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.689166 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.687184 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03819 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00408 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982452 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946768 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926062 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903435 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888564 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869449 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.855217 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839538 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826511 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822208 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814847 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80362 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.790702 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.783132 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.779315 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778664 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.774841 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.771315 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769106 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.766702 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.764973 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762045 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.760196 [26] validation_0-merror:0.35 validation_0-mlogloss:0.758402 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756918 [28] validation_0-merror:0.35 validation_0-mlogloss:0.758969 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761026 [30] validation_0-merror:0.35 validation_0-mlogloss:0.764318 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765057 [32] validation_0-merror:0.35 validation_0-mlogloss:0.765742 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.756918 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05876 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03185 [2] validation_0-merror:0.216667 validation_0-mlogloss:0.993336 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.977753 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.94657 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923344 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.904704 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.892115 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.877982 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863868 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.846636 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838227 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824417 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805979 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79089 [15] validation_0-merror:0.35 validation_0-mlogloss:0.789739 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780724 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.776768 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767406 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761819 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758282 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756457 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754854 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744519 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742109 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740039 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73456 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728444 [28] validation_0-merror:0.3 validation_0-mlogloss:0.724871 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721655 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722151 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722829 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722602 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72241 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.725446 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.721655 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05091 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01148 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977392 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947254 [4] validation_0-merror:0.35 validation_0-mlogloss:0.945619 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915946 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.894991 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.876769 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.858661 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840672 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823801 [11] validation_0-merror:0.3 validation_0-mlogloss:0.811171 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800454 [13] validation_0-merror:0.3 validation_0-mlogloss:0.786369 [14] validation_0-merror:0.3 validation_0-mlogloss:0.783452 [15] validation_0-merror:0.3 validation_0-mlogloss:0.780042 [16] validation_0-merror:0.3 validation_0-mlogloss:0.768948 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757255 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749526 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743995 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.736482 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732233 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.724154 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.715499 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.709309 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706633 [26] validation_0-merror:0.3 validation_0-mlogloss:0.699163 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698706 [28] validation_0-merror:0.3 validation_0-mlogloss:0.693487 [29] validation_0-merror:0.3 validation_0-mlogloss:0.693569 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.69165 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.687411 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.683085 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.684863 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680391 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.677734 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.680105 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.680494 [38] validation_0-merror:0.3 validation_0-mlogloss:0.681978 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678476 [40] validation_0-merror:0.3 validation_0-mlogloss:0.67688 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.673003 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.669128 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668454 [44] validation_0-merror:0.3 validation_0-mlogloss:0.667254 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.667934 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.666943 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666878 [48] validation_0-merror:0.3 validation_0-mlogloss:0.666264 [49] validation_0-merror:0.3 validation_0-mlogloss:0.668499 [50] validation_0-merror:0.3 validation_0-mlogloss:0.669606 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672041 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672531 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.673081 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.666264 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06423 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03256 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999169 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967881 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938503 [5] validation_0-merror:0.35 validation_0-mlogloss:0.922196 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903187 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890346 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868092 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.8572 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845296 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838629 [12] validation_0-merror:0.35 validation_0-mlogloss:0.835424 [13] validation_0-merror:0.35 validation_0-mlogloss:0.823332 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817589 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807517 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808527 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803913 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798777 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.798477 [20] validation_0-merror:0.35 validation_0-mlogloss:0.798056 [21] validation_0-merror:0.35 validation_0-mlogloss:0.79541 [22] validation_0-merror:0.35 validation_0-mlogloss:0.789414 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.783393 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.783993 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.782514 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.779595 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.778769 [28] validation_0-merror:0.35 validation_0-mlogloss:0.780014 [29] validation_0-merror:0.35 validation_0-mlogloss:0.775722 [30] validation_0-merror:0.35 validation_0-mlogloss:0.774934 [31] validation_0-merror:0.35 validation_0-mlogloss:0.776568 [32] validation_0-merror:0.35 validation_0-mlogloss:0.776882 [33] validation_0-merror:0.35 validation_0-mlogloss:0.77477 [34] validation_0-merror:0.35 validation_0-mlogloss:0.777619 [35] validation_0-merror:0.35 validation_0-mlogloss:0.781502 [36] validation_0-merror:0.35 validation_0-mlogloss:0.783271 [37] validation_0-merror:0.35 validation_0-mlogloss:0.787034 [38] validation_0-merror:0.35 validation_0-mlogloss:0.788078 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.77477 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06206 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03299 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00159 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979224 [4] validation_0-merror:0.3 validation_0-mlogloss:0.949095 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.93423 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.914229 [7] validation_0-merror:0.3 validation_0-mlogloss:0.901281 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.880785 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867317 [10] validation_0-merror:0.35 validation_0-mlogloss:0.855513 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842375 [12] validation_0-merror:0.3 validation_0-mlogloss:0.827086 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816059 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800512 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796609 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.791495 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.785107 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.776495 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767929 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.769812 [21] validation_0-merror:0.3 validation_0-mlogloss:0.767906 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76512 [23] validation_0-merror:0.3 validation_0-mlogloss:0.759535 [24] validation_0-merror:0.3 validation_0-mlogloss:0.756546 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754749 [26] validation_0-merror:0.3 validation_0-mlogloss:0.749483 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747496 [28] validation_0-merror:0.3 validation_0-mlogloss:0.744493 [29] validation_0-merror:0.3 validation_0-mlogloss:0.741943 [30] validation_0-merror:0.3 validation_0-mlogloss:0.743123 [31] validation_0-merror:0.3 validation_0-mlogloss:0.74364 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.74075 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.742522 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741846 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.743946 [36] validation_0-merror:0.3 validation_0-mlogloss:0.740853 [37] validation_0-merror:0.3 validation_0-mlogloss:0.740627 [38] validation_0-merror:0.3 validation_0-mlogloss:0.740214 [39] validation_0-merror:0.3 validation_0-mlogloss:0.737854 [40] validation_0-merror:0.3 validation_0-mlogloss:0.737475 [41] validation_0-merror:0.3 validation_0-mlogloss:0.737007 [42] validation_0-merror:0.3 validation_0-mlogloss:0.735165 [43] validation_0-merror:0.3 validation_0-mlogloss:0.737974 [44] validation_0-merror:0.3 validation_0-mlogloss:0.742166 [45] validation_0-merror:0.3 validation_0-mlogloss:0.740662 [46] validation_0-merror:0.3 validation_0-mlogloss:0.738461 [47] validation_0-merror:0.3 validation_0-mlogloss:0.739256 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.735165 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05675 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02406 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992007 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968462 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938618 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914379 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89849 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888108 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871342 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857452 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.847749 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.836047 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813895 [13] validation_0-merror:0.35 validation_0-mlogloss:0.799066 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.79162 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784785 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774363 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764102 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.756093 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.745826 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.739864 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.736158 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730829 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726157 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.725977 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.722064 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.719212 [27] validation_0-merror:0.35 validation_0-mlogloss:0.715451 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713695 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.708203 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.702883 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.699683 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691305 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.688292 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.687966 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.69003 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691611 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.689064 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.687905 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.688412 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.688842 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688921 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.688324 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689286 Stopping. Best iteration: [38] validation_0-merror:0.316667 validation_0-mlogloss:0.687905 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02981 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99945 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.981334 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.960684 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936486 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921172 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.9137 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.902242 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.890224 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.876745 [11] validation_0-merror:0.35 validation_0-mlogloss:0.862379 [12] validation_0-merror:0.35 validation_0-mlogloss:0.84949 [13] validation_0-merror:0.35 validation_0-mlogloss:0.834181 [14] validation_0-merror:0.35 validation_0-mlogloss:0.824351 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815374 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.808657 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.804713 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.802604 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.796244 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.794092 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.792527 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.790684 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.789434 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.789146 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785324 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.78737 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.790327 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.787769 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.789745 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.792136 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785324 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05801 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03204 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00109 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.98132 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955475 [5] validation_0-merror:0.35 validation_0-mlogloss:0.930645 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91571 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.906019 [8] validation_0-merror:0.35 validation_0-mlogloss:0.887878 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872492 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859331 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84309 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822127 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809083 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803539 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790889 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781572 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775491 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768204 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763192 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757318 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.752403 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.746997 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743161 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.737562 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733011 [26] validation_0-merror:0.3 validation_0-mlogloss:0.730273 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72515 [28] validation_0-merror:0.3 validation_0-mlogloss:0.721697 [29] validation_0-merror:0.3 validation_0-mlogloss:0.720109 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722686 [31] validation_0-merror:0.3 validation_0-mlogloss:0.725372 [32] validation_0-merror:0.3 validation_0-mlogloss:0.723129 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723254 [34] validation_0-merror:0.3 validation_0-mlogloss:0.719019 [35] validation_0-merror:0.3 validation_0-mlogloss:0.715737 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716771 [37] validation_0-merror:0.3 validation_0-mlogloss:0.71843 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717411 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717814 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714955 [41] validation_0-merror:0.3 validation_0-mlogloss:0.714956 [42] validation_0-merror:0.3 validation_0-mlogloss:0.71534 [43] validation_0-merror:0.3 validation_0-mlogloss:0.716817 [44] validation_0-merror:0.3 validation_0-mlogloss:0.716603 [45] validation_0-merror:0.3 validation_0-mlogloss:0.716898 Stopping. Best iteration: [40] validation_0-merror:0.3 validation_0-mlogloss:0.714955 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02931 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.999417 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973543 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.963799 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939691 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922969 [7] validation_0-merror:0.35 validation_0-mlogloss:0.906112 [8] validation_0-merror:0.35 validation_0-mlogloss:0.891162 [9] validation_0-merror:0.4 validation_0-mlogloss:0.874177 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862478 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.85058 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.838924 [13] validation_0-merror:0.4 validation_0-mlogloss:0.83052 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.822698 [15] validation_0-merror:0.35 validation_0-mlogloss:0.821277 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.808722 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.7966 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792283 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787181 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777286 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769324 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762331 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755225 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746514 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.744833 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735548 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72663 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720785 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.715847 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.711466 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.704906 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705785 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.700757 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.698654 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695995 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697969 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.695979 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697437 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.694286 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695667 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.696432 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.694463 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.691003 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688272 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.688098 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.68829 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.685972 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.682968 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684782 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.680224 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.683858 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.685351 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.687075 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.686375 [55] validation_0-merror:0.3 validation_0-mlogloss:0.686116 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.680224 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05987 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997591 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976739 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942941 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922516 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901841 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.887289 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.867852 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850909 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.832366 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822961 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.818874 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.807479 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802504 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791838 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784657 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.780245 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.77695 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774564 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769328 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.763614 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.762567 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762224 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763529 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763357 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760749 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757737 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756946 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.755466 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.756648 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.756592 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.749826 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746037 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.750298 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.753303 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.748349 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.74755 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749592 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746037 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06779 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03786 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00071 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.978459 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950869 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.924985 [6] validation_0-merror:0.3 validation_0-mlogloss:0.906432 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.89341 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879179 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865491 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847392 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.839144 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826459 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.81162 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799767 [15] validation_0-merror:0.3 validation_0-mlogloss:0.798043 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790537 [17] validation_0-merror:0.3 validation_0-mlogloss:0.786533 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779152 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774359 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.769945 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763087 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759214 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752254 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749264 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746069 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7408 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734553 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.734313 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.730948 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.727856 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.725953 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.72211 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.721607 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718937 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.721906 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.718423 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.718381 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716016 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.715629 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.71024 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.706738 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.708292 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.70453 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.705344 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.70497 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703908 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.704697 [48] validation_0-merror:0.3 validation_0-mlogloss:0.707948 [49] validation_0-merror:0.3 validation_0-mlogloss:0.709261 [50] validation_0-merror:0.3 validation_0-mlogloss:0.707425 [51] validation_0-merror:0.3 validation_0-mlogloss:0.70619 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703908 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01415 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.986016 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959486 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955774 [5] validation_0-merror:0.4 validation_0-mlogloss:0.924319 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907996 [7] validation_0-merror:0.35 validation_0-mlogloss:0.89057 [8] validation_0-merror:0.35 validation_0-mlogloss:0.869744 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852362 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839863 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826966 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813958 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80081 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790422 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787271 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776269 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765705 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76062 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756329 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745647 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74074 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733334 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727148 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718549 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716822 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710557 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710869 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704773 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703033 [30] validation_0-merror:0.3 validation_0-mlogloss:0.699727 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693738 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.689887 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686209 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684084 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.680425 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.679472 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.677525 [38] validation_0-merror:0.3 validation_0-mlogloss:0.679125 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676076 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675005 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.671506 [42] validation_0-merror:0.3 validation_0-mlogloss:0.669937 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66748 [44] validation_0-merror:0.3 validation_0-mlogloss:0.663912 [45] validation_0-merror:0.3 validation_0-mlogloss:0.660259 [46] validation_0-merror:0.3 validation_0-mlogloss:0.66079 [47] validation_0-merror:0.3 validation_0-mlogloss:0.659722 [48] validation_0-merror:0.3 validation_0-mlogloss:0.659512 [49] validation_0-merror:0.3 validation_0-mlogloss:0.661768 [50] validation_0-merror:0.3 validation_0-mlogloss:0.662292 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664551 [52] validation_0-merror:0.3 validation_0-mlogloss:0.663775 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668091 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.659512 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06169 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03333 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00344 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974572 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922411 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906281 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891059 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866499 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849572 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839421 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832821 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825254 [13] validation_0-merror:0.35 validation_0-mlogloss:0.814872 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.813096 [15] validation_0-merror:0.35 validation_0-mlogloss:0.804205 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800383 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.796702 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792494 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.792178 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.787903 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.784752 [22] validation_0-merror:0.35 validation_0-mlogloss:0.778527 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772977 [24] validation_0-merror:0.35 validation_0-mlogloss:0.772392 [25] validation_0-merror:0.35 validation_0-mlogloss:0.771693 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768055 [27] validation_0-merror:0.35 validation_0-mlogloss:0.768346 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769452 [29] validation_0-merror:0.35 validation_0-mlogloss:0.768375 [30] validation_0-merror:0.35 validation_0-mlogloss:0.769226 [31] validation_0-merror:0.35 validation_0-mlogloss:0.770284 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.768055 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03521 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00513 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977284 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944813 [5] validation_0-merror:0.25 validation_0-mlogloss:0.92215 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.903483 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.889177 [8] validation_0-merror:0.3 validation_0-mlogloss:0.874835 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.860911 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.844693 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.832631 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.818188 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.80636 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.792763 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.788662 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.783907 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.777795 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.76964 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.763348 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.762558 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759742 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755784 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.749504 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745753 [25] validation_0-merror:0.3 validation_0-mlogloss:0.743381 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.741386 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.738993 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.735117 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.72998 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.731527 [31] validation_0-merror:0.3 validation_0-mlogloss:0.729534 [32] validation_0-merror:0.3 validation_0-mlogloss:0.726136 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.72804 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.727825 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.729553 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728988 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.730357 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.726136 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0561 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0242 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99284 [3] validation_0-merror:0.3 validation_0-mlogloss:0.96715 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.940482 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915316 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897651 [7] validation_0-merror:0.3 validation_0-mlogloss:0.887456 [8] validation_0-merror:0.3 validation_0-mlogloss:0.868759 [9] validation_0-merror:0.4 validation_0-mlogloss:0.859159 [10] validation_0-merror:0.35 validation_0-mlogloss:0.848524 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83091 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811401 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800462 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.791211 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780159 [16] validation_0-merror:0.35 validation_0-mlogloss:0.770622 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762714 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753887 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.743258 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735588 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731748 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72817 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725614 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721744 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715298 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70815 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705033 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703175 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.699093 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693193 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.689623 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.687703 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.683547 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681528 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.681101 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.67975 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.677361 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.675184 [39] validation_0-merror:0.35 validation_0-mlogloss:0.675455 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.676366 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.676864 [42] validation_0-merror:0.35 validation_0-mlogloss:0.678095 [43] validation_0-merror:0.35 validation_0-mlogloss:0.678751 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.675184 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03169 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00001 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.982452 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9572 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.936048 [6] validation_0-merror:0.4 validation_0-mlogloss:0.919938 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.911725 [8] validation_0-merror:0.35 validation_0-mlogloss:0.900225 [9] validation_0-merror:0.35 validation_0-mlogloss:0.888352 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.877857 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.861992 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.84775 [13] validation_0-merror:0.35 validation_0-mlogloss:0.837855 [14] validation_0-merror:0.35 validation_0-mlogloss:0.830295 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.822702 [16] validation_0-merror:0.35 validation_0-mlogloss:0.815311 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.814314 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.808264 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.802847 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.797481 [21] validation_0-merror:0.35 validation_0-mlogloss:0.792158 [22] validation_0-merror:0.35 validation_0-mlogloss:0.787608 [23] validation_0-merror:0.35 validation_0-mlogloss:0.785219 [24] validation_0-merror:0.35 validation_0-mlogloss:0.784521 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.78354 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.781821 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.784678 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.783033 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.782417 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.785687 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.788309 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.781821 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03316 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999555 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980722 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.958019 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930495 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.917241 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.90524 [8] validation_0-merror:0.3 validation_0-mlogloss:0.886476 [9] validation_0-merror:0.3 validation_0-mlogloss:0.869466 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852114 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83684 [12] validation_0-merror:0.35 validation_0-mlogloss:0.821741 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810876 [14] validation_0-merror:0.3 validation_0-mlogloss:0.803169 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793594 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779075 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772883 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767872 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759177 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755487 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754857 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.747749 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742188 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.735781 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.731293 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.730133 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.729832 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721187 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717443 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716996 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716158 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711231 [33] validation_0-merror:0.3 validation_0-mlogloss:0.709554 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709775 [35] validation_0-merror:0.3 validation_0-mlogloss:0.707909 [36] validation_0-merror:0.3 validation_0-mlogloss:0.711112 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712858 [38] validation_0-merror:0.3 validation_0-mlogloss:0.711784 [39] validation_0-merror:0.3 validation_0-mlogloss:0.71107 [40] validation_0-merror:0.3 validation_0-mlogloss:0.709823 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.707909 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997809 [3] validation_0-merror:0.4 validation_0-mlogloss:0.971621 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962824 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935785 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91683 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901639 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88586 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869014 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.85641 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841141 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828142 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813467 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807651 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80537 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794433 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782007 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777583 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.770744 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761244 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753336 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746175 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742411 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731717 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731372 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724821 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721313 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715136 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710822 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704871 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701697 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700657 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698649 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.699831 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.696545 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697803 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.693843 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694586 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.6931 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695455 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.692093 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.689651 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.686586 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.685988 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683669 [46] validation_0-merror:0.3 validation_0-mlogloss:0.684357 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682445 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682109 [49] validation_0-merror:0.3 validation_0-mlogloss:0.684669 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68319 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.68709 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688039 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.691414 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.682109 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04392 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00753 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982218 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950012 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.929942 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91034 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891149 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873556 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857604 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840617 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831493 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827077 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817899 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811912 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80486 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798641 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791739 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784447 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77815 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772087 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765545 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764235 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.76176 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.762454 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759512 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757937 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754698 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.751442 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749079 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750216 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746716 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.745054 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744471 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748182 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750444 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.746705 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.751832 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.75133 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744471 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00252 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981356 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955933 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.93315 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911457 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.898561 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883802 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.871214 [10] validation_0-merror:0.35 validation_0-mlogloss:0.850042 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838988 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826034 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809947 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798176 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796224 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789544 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783061 [18] validation_0-merror:0.3 validation_0-mlogloss:0.769569 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765749 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.759467 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.750606 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747407 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738063 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.737269 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.732708 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727457 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721653 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718736 [29] validation_0-merror:0.3 validation_0-mlogloss:0.713062 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707621 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702958 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702171 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702735 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700155 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699462 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694795 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.694516 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69223 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688625 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.682806 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.680599 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681964 [43] validation_0-merror:0.3 validation_0-mlogloss:0.678661 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677295 [45] validation_0-merror:0.3 validation_0-mlogloss:0.674106 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675144 [47] validation_0-merror:0.3 validation_0-mlogloss:0.675947 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678922 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680066 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677415 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.674106 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0129 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987954 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957966 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949984 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918555 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897054 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880027 [8] validation_0-merror:0.35 validation_0-mlogloss:0.864585 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844957 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831525 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817124 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805174 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796222 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78787 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785474 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771155 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.75992 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.755427 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.750647 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73944 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.735284 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.72475 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720136 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712386 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710744 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.705047 [27] validation_0-merror:0.3 validation_0-mlogloss:0.705119 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70188 [29] validation_0-merror:0.3 validation_0-mlogloss:0.697609 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.694826 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688218 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.683561 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.680792 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.678099 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671259 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.669259 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668884 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.670146 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668766 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67072 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.667976 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.668831 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.66763 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666206 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664526 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66258 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660473 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.658231 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.658015 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.658626 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.660279 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659796 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.662044 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.66337 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.658015 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0291 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999103 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966297 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936069 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917063 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902055 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885727 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860908 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846779 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836901 [11] validation_0-merror:0.35 validation_0-mlogloss:0.82782 [12] validation_0-merror:0.35 validation_0-mlogloss:0.821327 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813477 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810583 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802132 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799284 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792148 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787864 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.788651 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781712 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778305 [22] validation_0-merror:0.4 validation_0-mlogloss:0.77476 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.771338 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772885 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770828 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766215 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.764894 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763512 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.762339 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.761722 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.765095 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763998 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.764518 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.765821 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.766178 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.761722 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03563 [2] validation_0-merror:0.283333 validation_0-mlogloss:1.00259 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974489 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.945572 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922269 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.902759 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887685 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868326 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85461 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.841531 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828912 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815975 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803899 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.794973 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791972 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.78739 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.78085 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.773693 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765776 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762944 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760693 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753244 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.746286 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.742509 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738835 [26] validation_0-merror:0.3 validation_0-mlogloss:0.736577 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.731647 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.72952 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.724698 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.725895 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.720167 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713585 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.719695 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.717522 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.719651 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.718597 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.71797 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713585 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02497 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993583 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969627 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941136 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.915268 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896288 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885289 [8] validation_0-merror:0.35 validation_0-mlogloss:0.864797 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853366 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839091 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822027 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800175 [13] validation_0-merror:0.3 validation_0-mlogloss:0.787725 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778407 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770375 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765188 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.757027 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.746381 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738751 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.735185 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.73049 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.726493 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.721385 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.718575 [25] validation_0-merror:0.35 validation_0-mlogloss:0.715191 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712687 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.708723 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708617 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.704857 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70286 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695987 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692956 [33] validation_0-merror:0.3 validation_0-mlogloss:0.690954 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.691479 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.691248 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691758 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.692697 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.693281 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.690954 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05858 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03048 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00108 [3] validation_0-merror:0.4 validation_0-mlogloss:0.982708 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.953363 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.932955 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918558 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.913871 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.904124 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.893 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.881226 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.870724 [12] validation_0-merror:0.4 validation_0-mlogloss:0.857196 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.846409 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.83903 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.826998 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.818436 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.815141 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.812525 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.808461 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.807122 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.804476 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.800565 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.798027 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.796573 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.796174 [26] validation_0-merror:0.4 validation_0-mlogloss:0.799107 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.799801 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.798609 [29] validation_0-merror:0.4 validation_0-mlogloss:0.796947 [30] validation_0-merror:0.4 validation_0-mlogloss:0.798867 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.796174 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02907 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997223 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976821 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95424 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927581 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912104 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899038 [8] validation_0-merror:0.3 validation_0-mlogloss:0.88221 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.867074 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848968 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.831825 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818207 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806523 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801637 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792969 [16] validation_0-merror:0.3 validation_0-mlogloss:0.777436 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768159 [18] validation_0-merror:0.3 validation_0-mlogloss:0.7633 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754527 [20] validation_0-merror:0.3 validation_0-mlogloss:0.751714 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751338 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742774 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733445 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.727405 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.724557 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.721693 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.719122 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.711315 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.706414 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.705136 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.706356 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.708058 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.706828 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.703649 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.70238 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70501 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.704544 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.702643 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.702573 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.699938 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.698947 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696843 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695073 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694074 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.6933 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.696741 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.699417 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.700417 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.699373 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.700714 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.6933 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.940185 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921762 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.904489 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887562 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866207 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851794 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836499 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823473 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.81022 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80042 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798223 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785796 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773933 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.770736 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766051 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755795 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.748506 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744689 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.739014 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728209 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.728287 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721389 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.718035 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711862 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710831 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704732 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.700356 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.699712 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696842 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696297 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69214 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692557 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692076 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695237 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.694722 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697402 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.697173 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.696638 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692076 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0409 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00266 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978075 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945551 [5] validation_0-merror:0.4 validation_0-mlogloss:0.927862 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.909895 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89239 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.876195 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.860119 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842907 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83096 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824283 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.812473 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805924 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799634 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794508 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786368 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781896 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774169 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77009 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.764443 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764188 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762376 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761267 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759982 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.758771 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.756481 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.752583 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.750406 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.751579 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.747932 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746568 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746354 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74902 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748168 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.746274 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.745623 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.745827 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.745732 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.743762 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740119 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740792 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.740183 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.742568 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.739322 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.739942 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.736663 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.738022 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.738303 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.734164 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.736209 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.73809 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.739146 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.746443 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.747702 Stopping. Best iteration: [50] validation_0-merror:0.366667 validation_0-mlogloss:0.734164 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03589 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99734 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976211 [4] validation_0-merror:0.35 validation_0-mlogloss:0.953514 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928733 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912403 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898852 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880235 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868629 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849457 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836107 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824461 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810063 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799079 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797752 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792233 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.787365 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78076 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77695 [20] validation_0-merror:0.3 validation_0-mlogloss:0.771182 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765973 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765472 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.759113 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.758616 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756686 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752064 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744107 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.742881 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738098 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734354 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730912 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.730389 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.729921 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727865 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.726176 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.720376 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.720992 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717822 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.715345 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.70927 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.707027 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.70819 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703479 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.699231 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.693401 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694043 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.694873 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.693213 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.693597 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.690275 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.688766 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.685033 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.685503 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.690095 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.688771 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690187 [57] validation_0-merror:0.3 validation_0-mlogloss:0.689438 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.685033 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01397 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985324 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957136 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948246 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920268 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.904273 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885248 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868577 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847262 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834401 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822018 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808499 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798542 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790494 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786253 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775334 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763645 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758668 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753571 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746046 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742762 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730903 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.723445 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.715461 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.713087 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70778 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707661 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705087 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702894 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.70055 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.697259 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.693163 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.691455 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690151 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.684859 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.682709 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6798 [38] validation_0-merror:0.3 validation_0-mlogloss:0.682293 [39] validation_0-merror:0.3 validation_0-mlogloss:0.67736 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.679357 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676703 [42] validation_0-merror:0.3 validation_0-mlogloss:0.67585 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.67387 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672648 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.668558 [46] validation_0-merror:0.3 validation_0-mlogloss:0.66666 [47] validation_0-merror:0.3 validation_0-mlogloss:0.664308 [48] validation_0-merror:0.3 validation_0-mlogloss:0.662732 [49] validation_0-merror:0.3 validation_0-mlogloss:0.661915 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662446 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.664415 [52] validation_0-merror:0.3 validation_0-mlogloss:0.663741 [53] validation_0-merror:0.3 validation_0-mlogloss:0.665974 [54] validation_0-merror:0.3 validation_0-mlogloss:0.667403 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.661915 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02743 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997662 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967591 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.938197 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904827 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89038 [8] validation_0-merror:0.4 validation_0-mlogloss:0.868793 [9] validation_0-merror:0.4 validation_0-mlogloss:0.853994 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841408 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.829963 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822439 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814769 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810045 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801782 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798626 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793752 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.788084 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783498 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781593 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77616 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.770167 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767042 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.768178 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765836 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.762552 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758455 [28] validation_0-merror:0.35 validation_0-mlogloss:0.755871 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752905 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753505 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754053 [32] validation_0-merror:0.35 validation_0-mlogloss:0.752497 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752182 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.751111 [35] validation_0-merror:0.35 validation_0-mlogloss:0.750952 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.752262 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.7554 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.753753 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.75219 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.751692 Stopping. Best iteration: [35] validation_0-merror:0.35 validation_0-mlogloss:0.750952 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0372 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00752 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980017 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.959025 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936146 [6] validation_0-merror:0.3 validation_0-mlogloss:0.916659 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903602 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.886576 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869567 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.856729 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.844768 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830841 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818394 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810414 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806107 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801097 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794086 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78872 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779728 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777527 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775709 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770091 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763892 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764129 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756986 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.757144 [27] validation_0-merror:0.3 validation_0-mlogloss:0.750667 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747945 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743666 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.74572 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.739658 [32] validation_0-merror:0.3 validation_0-mlogloss:0.734132 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735736 [34] validation_0-merror:0.3 validation_0-mlogloss:0.73184 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731339 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727995 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727873 [38] validation_0-merror:0.3 validation_0-mlogloss:0.726759 [39] validation_0-merror:0.3 validation_0-mlogloss:0.72709 [40] validation_0-merror:0.3 validation_0-mlogloss:0.721987 [41] validation_0-merror:0.3 validation_0-mlogloss:0.72112 [42] validation_0-merror:0.3 validation_0-mlogloss:0.72172 [43] validation_0-merror:0.3 validation_0-mlogloss:0.722801 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722833 [45] validation_0-merror:0.3 validation_0-mlogloss:0.719618 [46] validation_0-merror:0.3 validation_0-mlogloss:0.715198 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.714661 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.715442 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.718116 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.716472 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.717899 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.7161 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.714661 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02554 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993686 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968514 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940313 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916658 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895884 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881815 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.862827 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.85112 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838069 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820612 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.801549 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788029 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779553 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769446 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.761026 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75226 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.74071 [19] validation_0-merror:0.3 validation_0-mlogloss:0.732451 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.727111 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.723815 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.716904 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.711598 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.706849 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.700114 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.693996 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.689346 [28] validation_0-merror:0.3 validation_0-mlogloss:0.687218 [29] validation_0-merror:0.3 validation_0-mlogloss:0.682614 [30] validation_0-merror:0.3 validation_0-mlogloss:0.681434 [31] validation_0-merror:0.3 validation_0-mlogloss:0.677473 [32] validation_0-merror:0.3 validation_0-mlogloss:0.677621 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.676394 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.676684 [35] validation_0-merror:0.3 validation_0-mlogloss:0.676376 [36] validation_0-merror:0.3 validation_0-mlogloss:0.67494 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674084 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675471 [39] validation_0-merror:0.3 validation_0-mlogloss:0.675867 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678064 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679269 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679267 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.674084 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03221 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0017 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.98586 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956805 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.933568 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.919369 [7] validation_0-merror:0.4 validation_0-mlogloss:0.913009 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.904784 [9] validation_0-merror:0.433333 validation_0-mlogloss:0.892389 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.879359 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.869171 [12] validation_0-merror:0.4 validation_0-mlogloss:0.85534 [13] validation_0-merror:0.4 validation_0-mlogloss:0.843787 [14] validation_0-merror:0.4 validation_0-mlogloss:0.835773 [15] validation_0-merror:0.4 validation_0-mlogloss:0.827313 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.820393 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.816747 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.812194 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.810734 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.805587 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.803183 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.799513 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.795678 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.792993 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.790396 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.787899 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.78789 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.786548 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.785399 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.78923 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.787401 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.787781 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.788003 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.787873 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.785399 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999491 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979503 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954885 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925447 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.910109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.881398 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865461 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847037 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830026 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.812436 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798655 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791509 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784171 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770272 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760395 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757406 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747381 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740439 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739136 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732598 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724646 [24] validation_0-merror:0.3 validation_0-mlogloss:0.720834 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715629 [26] validation_0-merror:0.3 validation_0-mlogloss:0.715213 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707797 [28] validation_0-merror:0.3 validation_0-mlogloss:0.702039 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700407 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700384 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699816 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700113 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698058 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694981 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693561 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696188 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696027 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693761 [39] validation_0-merror:0.3 validation_0-mlogloss:0.69178 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689869 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689315 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.687013 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.684164 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.683724 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.68481 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684211 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.684712 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.685307 [49] validation_0-merror:0.3 validation_0-mlogloss:0.684637 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.683724 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05726 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02672 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00005 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970093 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.962484 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941913 [6] validation_0-merror:0.35 validation_0-mlogloss:0.924615 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.909442 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.888094 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.859473 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845054 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.832441 [13] validation_0-merror:0.3 validation_0-mlogloss:0.823079 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.811781 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.806701 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794087 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.781801 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.776375 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.771905 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.764507 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.757736 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750868 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744317 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732413 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.725247 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710451 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.704422 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703104 [29] validation_0-merror:0.25 validation_0-mlogloss:0.693528 [30] validation_0-merror:0.25 validation_0-mlogloss:0.689676 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.685525 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680916 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677822 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.677601 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.676631 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.675071 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.670302 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.670761 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.666576 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.667296 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.668038 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.662729 [43] validation_0-merror:0.3 validation_0-mlogloss:0.661381 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660012 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.656275 [46] validation_0-merror:0.3 validation_0-mlogloss:0.655822 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.653973 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.652991 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.655478 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651823 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654015 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656098 [53] validation_0-merror:0.3 validation_0-mlogloss:0.659756 [54] validation_0-merror:0.3 validation_0-mlogloss:0.659537 [55] validation_0-merror:0.3 validation_0-mlogloss:0.657762 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651823 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04047 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00454 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983294 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.954219 [5] validation_0-merror:0.4 validation_0-mlogloss:0.932868 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.912121 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896135 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.875769 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858206 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841401 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82952 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822872 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815343 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808381 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799572 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.793532 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.787796 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78428 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775649 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773113 [21] validation_0-merror:0.35 validation_0-mlogloss:0.766193 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.76516 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760405 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.758583 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755455 [26] validation_0-merror:0.35 validation_0-mlogloss:0.751707 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748115 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741522 [29] validation_0-merror:0.35 validation_0-mlogloss:0.741191 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.741273 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.736938 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736002 [33] validation_0-merror:0.35 validation_0-mlogloss:0.732682 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.736148 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.736429 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.730684 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.731819 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730204 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.728468 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.726988 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.725454 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.725534 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.720577 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.718998 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.721135 [46] validation_0-merror:0.35 validation_0-mlogloss:0.72436 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.721252 [48] validation_0-merror:0.35 validation_0-mlogloss:0.723214 [49] validation_0-merror:0.35 validation_0-mlogloss:0.728598 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.718998 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0702 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04471 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00802 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.990692 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.962309 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938343 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.919264 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901697 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.881393 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869286 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.848136 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.834944 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.820517 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.802292 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786162 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.782697 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.772496 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768887 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.757059 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750781 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.745958 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.738626 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.732303 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725019 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723501 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72055 [26] validation_0-merror:0.3 validation_0-mlogloss:0.714178 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708471 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703372 [29] validation_0-merror:0.3 validation_0-mlogloss:0.697911 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.690018 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.686129 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.682051 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.683098 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.680605 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.680698 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.67293 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.671213 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.670038 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.668346 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.665335 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.659846 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.659272 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.652812 [44] validation_0-merror:0.3 validation_0-mlogloss:0.649825 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.648601 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.650136 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.648593 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.648296 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.646679 [50] validation_0-merror:0.3 validation_0-mlogloss:0.646605 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.64634 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.639791 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.641464 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.64472 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.639996 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.639647 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.637497 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.636844 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.63616 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.634988 [61] validation_0-merror:0.3 validation_0-mlogloss:0.63625 [62] validation_0-merror:0.3 validation_0-mlogloss:0.637003 [63] validation_0-merror:0.3 validation_0-mlogloss:0.635794 [64] validation_0-merror:0.3 validation_0-mlogloss:0.636116 [65] validation_0-merror:0.3 validation_0-mlogloss:0.636026 Stopping. Best iteration: [60] validation_0-merror:0.316667 validation_0-mlogloss:0.634988 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05311 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01885 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992598 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963711 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955657 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928463 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908113 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.89029 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871833 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.852894 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838105 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.822425 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809047 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799067 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789749 [15] validation_0-merror:0.3 validation_0-mlogloss:0.782775 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773648 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763284 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757229 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750526 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74452 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739578 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728312 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.723238 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.71502 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.710098 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702434 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.700277 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697534 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.693061 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688548 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.685001 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680577 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.676346 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.674044 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.671906 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.66922 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.670526 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673192 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670339 [40] validation_0-merror:0.3 validation_0-mlogloss:0.670645 [41] validation_0-merror:0.3 validation_0-mlogloss:0.669835 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.66922 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06436 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03619 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00717 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979869 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952996 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930589 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.91408 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.899619 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879241 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864166 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853471 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845064 [12] validation_0-merror:0.35 validation_0-mlogloss:0.835529 [13] validation_0-merror:0.35 validation_0-mlogloss:0.826625 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817505 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807795 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804837 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801383 [18] validation_0-merror:0.35 validation_0-mlogloss:0.793328 [19] validation_0-merror:0.35 validation_0-mlogloss:0.789417 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.78249 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780596 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775895 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769544 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767859 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762927 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755946 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756195 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752127 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.749856 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747114 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.747679 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744463 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.739798 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.741023 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.737337 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.736539 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.736182 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.734237 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732427 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.73186 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.731031 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.730754 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.726983 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.726415 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.722296 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.721707 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.721371 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.719047 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.720702 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.722335 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.723975 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.727316 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.727954 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.719047 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06927 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04484 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01227 [3] validation_0-merror:0.4 validation_0-mlogloss:0.989261 [4] validation_0-merror:0.4 validation_0-mlogloss:0.966157 [5] validation_0-merror:0.35 validation_0-mlogloss:0.945555 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927595 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911985 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.888518 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.872628 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.859343 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.846182 [12] validation_0-merror:0.3 validation_0-mlogloss:0.8335 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.823249 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.812044 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803612 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79702 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786497 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77577 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768718 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76621 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76221 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754102 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747177 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.738891 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.734376 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.73 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.724932 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.71825 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.712206 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.707948 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.705371 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.699431 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699842 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.69468 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.691872 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.687237 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.684752 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.682134 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.680619 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.675859 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.675155 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.673337 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.670768 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.671011 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.668546 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.664735 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.662872 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.662525 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.665333 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.663191 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.661402 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.66008 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.662359 [54] validation_0-merror:0.3 validation_0-mlogloss:0.661477 [55] validation_0-merror:0.3 validation_0-mlogloss:0.660088 [56] validation_0-merror:0.3 validation_0-mlogloss:0.657874 [57] validation_0-merror:0.3 validation_0-mlogloss:0.655055 [58] validation_0-merror:0.3 validation_0-mlogloss:0.65388 [59] validation_0-merror:0.3 validation_0-mlogloss:0.651489 [60] validation_0-merror:0.3 validation_0-mlogloss:0.647706 [61] validation_0-merror:0.3 validation_0-mlogloss:0.647844 [62] validation_0-merror:0.3 validation_0-mlogloss:0.64674 [63] validation_0-merror:0.3 validation_0-mlogloss:0.648353 [64] validation_0-merror:0.3 validation_0-mlogloss:0.650382 [65] validation_0-merror:0.3 validation_0-mlogloss:0.647378 [66] validation_0-merror:0.3 validation_0-mlogloss:0.647836 [67] validation_0-merror:0.3 validation_0-mlogloss:0.649103 Stopping. Best iteration: [62] validation_0-merror:0.3 validation_0-mlogloss:0.64674 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02433 [2] validation_0-merror:0.35 validation_0-mlogloss:0.994123 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971484 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.942045 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918018 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90211 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891502 [8] validation_0-merror:0.3 validation_0-mlogloss:0.877094 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.862953 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849611 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83667 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.823438 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809909 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800245 [15] validation_0-merror:0.3 validation_0-mlogloss:0.787747 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780036 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769917 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760581 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75122 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743978 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739367 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732554 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728803 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.725631 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71919 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7163 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713702 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712409 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706742 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703453 [31] validation_0-merror:0.3 validation_0-mlogloss:0.700108 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698397 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694972 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694098 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691455 [36] validation_0-merror:0.3 validation_0-mlogloss:0.688263 [37] validation_0-merror:0.3 validation_0-mlogloss:0.684511 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683437 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.681222 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679225 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677547 [42] validation_0-merror:0.3 validation_0-mlogloss:0.675455 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.676888 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.676999 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.677032 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.676126 [47] validation_0-merror:0.3 validation_0-mlogloss:0.677136 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.675455 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03236 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00658 [3] validation_0-merror:0.4 validation_0-mlogloss:0.987164 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961933 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.936319 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921577 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911274 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897407 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.883729 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870281 [11] validation_0-merror:0.35 validation_0-mlogloss:0.855143 [12] validation_0-merror:0.35 validation_0-mlogloss:0.840778 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827935 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820453 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.816625 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808513 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802233 [18] validation_0-merror:0.4 validation_0-mlogloss:0.796343 [19] validation_0-merror:0.4 validation_0-mlogloss:0.787988 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781577 [21] validation_0-merror:0.4 validation_0-mlogloss:0.779153 [22] validation_0-merror:0.4 validation_0-mlogloss:0.776345 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.771983 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.768277 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765828 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763302 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.760701 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756553 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.755238 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755788 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75419 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747541 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747726 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.74242 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738332 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.741342 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742532 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.74028 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.739191 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.738278 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.73485 [42] validation_0-merror:0.35 validation_0-mlogloss:0.734118 [43] validation_0-merror:0.35 validation_0-mlogloss:0.731366 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.729691 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.727567 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.729823 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.729941 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.732597 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.732333 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.730239 Stopping. Best iteration: [45] validation_0-merror:0.383333 validation_0-mlogloss:0.727567 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04155 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01652 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00152 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.985254 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.961206 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.946625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.935171 [8] validation_0-merror:0.35 validation_0-mlogloss:0.917705 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.902827 [10] validation_0-merror:0.35 validation_0-mlogloss:0.883111 [11] validation_0-merror:0.35 validation_0-mlogloss:0.869078 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.851696 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.84117 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829013 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.823898 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812481 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803752 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792103 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781927 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773621 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768222 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760742 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.754637 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.747836 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742212 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736014 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732992 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726585 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722084 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721354 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716196 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709846 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.706093 [34] validation_0-merror:0.3 validation_0-mlogloss:0.702036 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698074 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694759 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.691648 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687184 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684616 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681422 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.67763 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676317 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673234 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671659 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.668015 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.667826 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665985 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662724 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659866 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.657993 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.656634 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.654699 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.651037 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.649604 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.650818 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.649009 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.647292 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.647067 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.646573 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.643876 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.641934 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.643487 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.643751 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.644739 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.640962 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.638732 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.638149 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.637929 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.639607 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.638177 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.638926 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.640133 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.641052 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.637929 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02446 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00217 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973142 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.964394 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.945688 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.929914 [7] validation_0-merror:0.35 validation_0-mlogloss:0.912186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894582 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.878927 [10] validation_0-merror:0.35 validation_0-mlogloss:0.86588 [11] validation_0-merror:0.3 validation_0-mlogloss:0.851312 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.838579 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.829151 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817442 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.812903 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.801094 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.788062 [18] validation_0-merror:0.3 validation_0-mlogloss:0.783202 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77504 [20] validation_0-merror:0.3 validation_0-mlogloss:0.766994 [21] validation_0-merror:0.3 validation_0-mlogloss:0.761152 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754366 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747792 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736583 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.731232 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.71964 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71297 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707708 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701185 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69711 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694352 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687696 [33] validation_0-merror:0.3 validation_0-mlogloss:0.683433 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682285 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679539 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679153 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.675839 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.676368 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672313 [40] validation_0-merror:0.3 validation_0-mlogloss:0.672544 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672979 [42] validation_0-merror:0.3 validation_0-mlogloss:0.667966 [43] validation_0-merror:0.3 validation_0-mlogloss:0.666651 [44] validation_0-merror:0.3 validation_0-mlogloss:0.663157 [45] validation_0-merror:0.3 validation_0-mlogloss:0.658691 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.656899 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654284 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.648783 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.651221 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.647811 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.649825 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.651679 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.654745 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654034 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.652329 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.647811 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04018 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00432 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983836 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955606 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935842 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915196 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898367 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.879133 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861466 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844353 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832085 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82573 [13] validation_0-merror:0.35 validation_0-mlogloss:0.814987 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809051 [15] validation_0-merror:0.35 validation_0-mlogloss:0.79987 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793858 [17] validation_0-merror:0.35 validation_0-mlogloss:0.787489 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783711 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775885 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773246 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767003 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765425 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76189 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759336 [25] validation_0-merror:0.35 validation_0-mlogloss:0.756238 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753453 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75068 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748249 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746917 [30] validation_0-merror:0.35 validation_0-mlogloss:0.746437 [31] validation_0-merror:0.35 validation_0-mlogloss:0.742699 [32] validation_0-merror:0.35 validation_0-mlogloss:0.74188 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.738778 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.742235 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.744128 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738748 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.739241 [38] validation_0-merror:0.35 validation_0-mlogloss:0.736083 [39] validation_0-merror:0.35 validation_0-mlogloss:0.734556 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.732649 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.730998 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.72843 [43] validation_0-merror:0.35 validation_0-mlogloss:0.725592 [44] validation_0-merror:0.35 validation_0-mlogloss:0.724645 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.725867 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.731398 [47] validation_0-merror:0.35 validation_0-mlogloss:0.728975 [48] validation_0-merror:0.35 validation_0-mlogloss:0.729651 [49] validation_0-merror:0.35 validation_0-mlogloss:0.735244 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.724645 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06946 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04373 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.989784 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961438 [5] validation_0-merror:0.35 validation_0-mlogloss:0.937408 [6] validation_0-merror:0.3 validation_0-mlogloss:0.919469 [7] validation_0-merror:0.35 validation_0-mlogloss:0.902983 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88422 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.870355 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849038 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835884 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821602 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.803212 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.787345 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.781563 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.772793 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768807 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.756903 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750778 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.746346 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.737487 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731428 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.723802 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.722216 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719094 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710722 [27] validation_0-merror:0.3 validation_0-mlogloss:0.70548 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699131 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69522 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688472 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684468 [32] validation_0-merror:0.3 validation_0-mlogloss:0.680193 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680144 [34] validation_0-merror:0.3 validation_0-mlogloss:0.677763 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679139 [36] validation_0-merror:0.3 validation_0-mlogloss:0.671461 [37] validation_0-merror:0.3 validation_0-mlogloss:0.670305 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.668451 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.666393 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.662781 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65705 [42] validation_0-merror:0.3 validation_0-mlogloss:0.659382 [43] validation_0-merror:0.3 validation_0-mlogloss:0.653848 [44] validation_0-merror:0.3 validation_0-mlogloss:0.652389 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.650121 [46] validation_0-merror:0.3 validation_0-mlogloss:0.654347 [47] validation_0-merror:0.3 validation_0-mlogloss:0.653061 [48] validation_0-merror:0.3 validation_0-mlogloss:0.650614 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.651585 [50] validation_0-merror:0.3 validation_0-mlogloss:0.651889 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.650121 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01811 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.991785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962936 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954847 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928676 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905885 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888757 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870323 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852319 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837545 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.822998 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809967 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801607 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791282 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784434 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775591 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764938 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758503 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752204 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744388 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739565 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728359 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724455 [24] validation_0-merror:0.3 validation_0-mlogloss:0.716104 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709652 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70162 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699447 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696348 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692485 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.686566 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.681152 [32] validation_0-merror:0.25 validation_0-mlogloss:0.674025 [33] validation_0-merror:0.25 validation_0-mlogloss:0.671119 [34] validation_0-merror:0.25 validation_0-mlogloss:0.66828 [35] validation_0-merror:0.25 validation_0-mlogloss:0.665409 [36] validation_0-merror:0.25 validation_0-mlogloss:0.661024 [37] validation_0-merror:0.25 validation_0-mlogloss:0.662592 [38] validation_0-merror:0.25 validation_0-mlogloss:0.664348 [39] validation_0-merror:0.25 validation_0-mlogloss:0.66172 [40] validation_0-merror:0.25 validation_0-mlogloss:0.662472 [41] validation_0-merror:0.25 validation_0-mlogloss:0.661469 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.661024 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06455 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03634 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00671 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979224 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953014 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930082 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913422 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899245 [8] validation_0-merror:0.3 validation_0-mlogloss:0.878969 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.863777 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853119 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.844787 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835949 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.827086 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817902 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808764 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805508 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801559 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.788967 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778115 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.773423 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.767341 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765801 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76075 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753607 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.753929 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752513 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.75013 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.749946 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750266 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.7467 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.741711 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743349 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741492 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741175 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.741031 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.739804 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.740029 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.738442 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.740526 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.740065 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.737985 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.736768 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.735711 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.734702 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.73679 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.732075 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.737268 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.7377 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.739279 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.739347 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.738005 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.732075 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.0415 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00898 [3] validation_0-merror:0.4 validation_0-mlogloss:0.984519 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961464 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.942425 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.924767 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910639 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889381 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873305 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.860233 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84799 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.834599 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824338 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812895 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804658 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.798142 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790019 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.780713 [19] validation_0-merror:0.35 validation_0-mlogloss:0.773656 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773335 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.771619 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764898 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758716 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750081 [25] validation_0-merror:0.35 validation_0-mlogloss:0.745385 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739331 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734163 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726993 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720995 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.717337 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.714255 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.708003 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708686 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.703486 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700792 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696495 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.691427 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.688034 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.685723 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.681601 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.681469 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.679674 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.678053 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.678512 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.67737 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.673715 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673594 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673079 [49] validation_0-merror:0.3 validation_0-mlogloss:0.675298 [50] validation_0-merror:0.3 validation_0-mlogloss:0.672274 [51] validation_0-merror:0.3 validation_0-mlogloss:0.66897 [52] validation_0-merror:0.3 validation_0-mlogloss:0.667514 [53] validation_0-merror:0.3 validation_0-mlogloss:0.667322 [54] validation_0-merror:0.3 validation_0-mlogloss:0.668715 [55] validation_0-merror:0.3 validation_0-mlogloss:0.667377 [56] validation_0-merror:0.3 validation_0-mlogloss:0.665492 [57] validation_0-merror:0.3 validation_0-mlogloss:0.662755 [58] validation_0-merror:0.3 validation_0-mlogloss:0.660878 [59] validation_0-merror:0.3 validation_0-mlogloss:0.658401 [60] validation_0-merror:0.3 validation_0-mlogloss:0.654425 [61] validation_0-merror:0.3 validation_0-mlogloss:0.654273 [62] validation_0-merror:0.3 validation_0-mlogloss:0.654003 [63] validation_0-merror:0.3 validation_0-mlogloss:0.655678 [64] validation_0-merror:0.3 validation_0-mlogloss:0.656918 [65] validation_0-merror:0.3 validation_0-mlogloss:0.653754 [66] validation_0-merror:0.3 validation_0-mlogloss:0.652393 [67] validation_0-merror:0.3 validation_0-mlogloss:0.650942 [68] validation_0-merror:0.3 validation_0-mlogloss:0.652331 [69] validation_0-merror:0.3 validation_0-mlogloss:0.652478 [70] validation_0-merror:0.3 validation_0-mlogloss:0.65067 [71] validation_0-merror:0.3 validation_0-mlogloss:0.650728 [72] validation_0-merror:0.3 validation_0-mlogloss:0.649056 [73] validation_0-merror:0.3 validation_0-mlogloss:0.648037 [74] validation_0-merror:0.3 validation_0-mlogloss:0.644862 [75] validation_0-merror:0.3 validation_0-mlogloss:0.644411 [76] validation_0-merror:0.3 validation_0-mlogloss:0.64898 [77] validation_0-merror:0.3 validation_0-mlogloss:0.649784 [78] validation_0-merror:0.3 validation_0-mlogloss:0.646574 [79] validation_0-merror:0.3 validation_0-mlogloss:0.64948 [80] validation_0-merror:0.3 validation_0-mlogloss:0.649997 Stopping. Best iteration: [75] validation_0-merror:0.3 validation_0-mlogloss:0.644411 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02327 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993096 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970399 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.942023 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916995 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90205 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891444 [8] validation_0-merror:0.3 validation_0-mlogloss:0.877044 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863873 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850825 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837203 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822318 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809554 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800321 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789716 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78022 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770604 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761406 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752105 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744719 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740281 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.734256 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.730635 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727808 [25] validation_0-merror:0.3 validation_0-mlogloss:0.722944 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720275 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716885 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.714735 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.709093 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705849 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.701287 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700009 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698907 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.698055 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.696306 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.693401 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687153 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.688605 [39] validation_0-merror:0.3 validation_0-mlogloss:0.68672 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.686762 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.684355 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682158 [43] validation_0-merror:0.3 validation_0-mlogloss:0.682584 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.682459 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.680994 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.680794 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.680951 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.681866 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.679479 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.67869 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.678897 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.679954 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.679437 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.680537 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.680083 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.67869 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06166 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03198 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0062 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985175 [4] validation_0-merror:0.4 validation_0-mlogloss:0.961227 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.935454 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920258 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.909344 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.894264 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.880441 [10] validation_0-merror:0.4 validation_0-mlogloss:0.866835 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851504 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.836218 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823626 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815829 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.81227 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803052 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.795875 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787895 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779395 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77545 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.772557 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767826 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762079 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.758065 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.755074 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752456 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748852 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744973 [29] validation_0-merror:0.35 validation_0-mlogloss:0.744004 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.743344 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.745939 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738407 [33] validation_0-merror:0.35 validation_0-mlogloss:0.737876 [34] validation_0-merror:0.35 validation_0-mlogloss:0.73162 [35] validation_0-merror:0.35 validation_0-mlogloss:0.729972 [36] validation_0-merror:0.35 validation_0-mlogloss:0.730826 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.727565 [38] validation_0-merror:0.35 validation_0-mlogloss:0.725278 [39] validation_0-merror:0.35 validation_0-mlogloss:0.724069 [40] validation_0-merror:0.35 validation_0-mlogloss:0.722291 [41] validation_0-merror:0.35 validation_0-mlogloss:0.721264 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.720664 [43] validation_0-merror:0.35 validation_0-mlogloss:0.72086 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.719105 [45] validation_0-merror:0.35 validation_0-mlogloss:0.720497 [46] validation_0-merror:0.35 validation_0-mlogloss:0.722359 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.723674 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.723696 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.723947 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.719105 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07283 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04079 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01534 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00047 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.978458 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954362 [6] validation_0-merror:0.35 validation_0-mlogloss:0.938961 [7] validation_0-merror:0.35 validation_0-mlogloss:0.927469 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.911127 [9] validation_0-merror:0.35 validation_0-mlogloss:0.894807 [10] validation_0-merror:0.35 validation_0-mlogloss:0.875027 [11] validation_0-merror:0.35 validation_0-mlogloss:0.858749 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.842607 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.832041 [14] validation_0-merror:0.35 validation_0-mlogloss:0.822802 [15] validation_0-merror:0.35 validation_0-mlogloss:0.817974 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806474 [17] validation_0-merror:0.35 validation_0-mlogloss:0.797921 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789301 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77944 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772687 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76733 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759954 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752335 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745406 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740057 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733673 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730201 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724441 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720471 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71605 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.714619 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708002 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.704533 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698564 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694563 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692241 [37] validation_0-merror:0.3 validation_0-mlogloss:0.692612 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689081 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687997 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684977 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681445 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681369 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.677611 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.675534 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673132 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.671999 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.670184 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.668362 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.666864 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.666809 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.665476 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.663324 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.664359 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.662428 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.663588 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.662022 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.661161 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.659575 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.659943 [60] validation_0-merror:0.25 validation_0-mlogloss:0.656639 [61] validation_0-merror:0.25 validation_0-mlogloss:0.656099 [62] validation_0-merror:0.25 validation_0-mlogloss:0.653031 [63] validation_0-merror:0.25 validation_0-mlogloss:0.654369 [64] validation_0-merror:0.25 validation_0-mlogloss:0.655117 [65] validation_0-merror:0.25 validation_0-mlogloss:0.653128 [66] validation_0-merror:0.25 validation_0-mlogloss:0.651176 [67] validation_0-merror:0.25 validation_0-mlogloss:0.651707 [68] validation_0-merror:0.25 validation_0-mlogloss:0.64937 [69] validation_0-merror:0.25 validation_0-mlogloss:0.651234 [70] validation_0-merror:0.25 validation_0-mlogloss:0.649267 [71] validation_0-merror:0.25 validation_0-mlogloss:0.649233 [72] validation_0-merror:0.25 validation_0-mlogloss:0.650575 [73] validation_0-merror:0.25 validation_0-mlogloss:0.651606 [74] validation_0-merror:0.25 validation_0-mlogloss:0.650419 [75] validation_0-merror:0.25 validation_0-mlogloss:0.65148 [76] validation_0-merror:0.25 validation_0-mlogloss:0.652584 Stopping. Best iteration: [71] validation_0-merror:0.25 validation_0-mlogloss:0.649233 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.05973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03024 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00648 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.978338 [4] validation_0-merror:0.4 validation_0-mlogloss:0.969534 [5] validation_0-merror:0.4 validation_0-mlogloss:0.950235 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.934228 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.9166 [8] validation_0-merror:0.35 validation_0-mlogloss:0.895301 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.879471 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.867204 [11] validation_0-merror:0.35 validation_0-mlogloss:0.85203 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839353 [13] validation_0-merror:0.35 validation_0-mlogloss:0.830986 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.819182 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816591 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804229 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792408 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786809 [19] validation_0-merror:0.3 validation_0-mlogloss:0.778664 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770915 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763413 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755635 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748585 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.737589 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735148 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.723723 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.716575 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711267 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705407 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.700712 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696152 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692716 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687814 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684898 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683241 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680232 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674865 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675648 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673443 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673101 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673507 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670027 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667664 [44] validation_0-merror:0.3 validation_0-mlogloss:0.665013 [45] validation_0-merror:0.3 validation_0-mlogloss:0.662481 [46] validation_0-merror:0.3 validation_0-mlogloss:0.661865 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.659403 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.6557 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.6571 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653486 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654658 [52] validation_0-merror:0.3 validation_0-mlogloss:0.655786 [53] validation_0-merror:0.3 validation_0-mlogloss:0.66009 [54] validation_0-merror:0.3 validation_0-mlogloss:0.660236 [55] validation_0-merror:0.3 validation_0-mlogloss:0.659104 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653486 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956897 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936092 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.914339 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898037 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879135 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.862304 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.847201 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834818 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825798 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817996 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.812444 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803338 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.79721 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79253 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789714 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781541 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777671 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773008 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771399 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767529 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.764751 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761832 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.759785 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754577 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750908 [29] validation_0-merror:0.35 validation_0-mlogloss:0.75123 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753025 [31] validation_0-merror:0.35 validation_0-mlogloss:0.749462 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747778 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744865 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.747798 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748848 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.743057 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.745411 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.745239 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.744241 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.742069 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.73721 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.735246 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.731946 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.727967 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.729174 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.730088 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.72918 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.731661 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.739546 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.727967 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.07332 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04693 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01025 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.993076 [4] validation_0-merror:0.35 validation_0-mlogloss:0.96628 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942426 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925563 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908492 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890679 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874271 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852642 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.838417 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826477 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.811007 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799675 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794178 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784532 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.779496 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767021 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760681 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.754904 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745866 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741048 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732802 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73156 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7275 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.723298 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.717018 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711625 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707752 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700297 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695864 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690587 [33] validation_0-merror:0.3 validation_0-mlogloss:0.692337 [34] validation_0-merror:0.3 validation_0-mlogloss:0.689581 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690899 [36] validation_0-merror:0.3 validation_0-mlogloss:0.684109 [37] validation_0-merror:0.3 validation_0-mlogloss:0.681607 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.681503 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.679765 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.677137 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.671716 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673841 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669871 [44] validation_0-merror:0.3 validation_0-mlogloss:0.665965 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665156 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.668445 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.668263 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.666768 [49] validation_0-merror:0.3 validation_0-mlogloss:0.666747 [50] validation_0-merror:0.3 validation_0-mlogloss:0.668102 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.665156 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05261 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01782 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.992705 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964269 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956363 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930167 [6] validation_0-merror:0.35 validation_0-mlogloss:0.909009 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891659 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.873824 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856992 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84397 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829406 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815523 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80605 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794772 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78772 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778891 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770369 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765464 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759261 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750801 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74627 [22] validation_0-merror:0.3 validation_0-mlogloss:0.735158 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730627 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.722304 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715986 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.707869 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705809 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.702465 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698436 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.692593 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.686258 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680749 [33] validation_0-merror:0.25 validation_0-mlogloss:0.678645 [34] validation_0-merror:0.25 validation_0-mlogloss:0.67609 [35] validation_0-merror:0.25 validation_0-mlogloss:0.671315 [36] validation_0-merror:0.25 validation_0-mlogloss:0.667977 [37] validation_0-merror:0.25 validation_0-mlogloss:0.669663 [38] validation_0-merror:0.25 validation_0-mlogloss:0.670958 [39] validation_0-merror:0.25 validation_0-mlogloss:0.66577 [40] validation_0-merror:0.25 validation_0-mlogloss:0.664792 [41] validation_0-merror:0.25 validation_0-mlogloss:0.663674 [42] validation_0-merror:0.25 validation_0-mlogloss:0.664028 [43] validation_0-merror:0.25 validation_0-mlogloss:0.662804 [44] validation_0-merror:0.25 validation_0-mlogloss:0.660168 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.656992 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.653864 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.650282 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.645754 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.647512 [50] validation_0-merror:0.25 validation_0-mlogloss:0.647544 [51] validation_0-merror:0.25 validation_0-mlogloss:0.648189 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.646614 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.647731 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.645754 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06563 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03965 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00866 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982308 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956028 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.93302 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.916799 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.900406 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879577 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864573 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853735 [11] validation_0-merror:0.35 validation_0-mlogloss:0.846125 [12] validation_0-merror:0.35 validation_0-mlogloss:0.837378 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827889 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818777 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809617 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806371 [17] validation_0-merror:0.35 validation_0-mlogloss:0.801875 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.795203 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.792742 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785737 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.781898 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.777339 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.773333 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773456 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.768067 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761469 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.758797 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754844 [29] validation_0-merror:0.35 validation_0-mlogloss:0.75192 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.753214 [31] validation_0-merror:0.35 validation_0-mlogloss:0.75386 [32] validation_0-merror:0.35 validation_0-mlogloss:0.749709 [33] validation_0-merror:0.35 validation_0-mlogloss:0.744554 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.74576 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742141 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.740217 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742775 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.740112 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.738889 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.737664 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.738261 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.737446 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.736601 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.735009 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737163 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735616 [47] validation_0-merror:0.35 validation_0-mlogloss:0.737314 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733762 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.737559 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.736266 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.737666 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.740635 [53] validation_0-merror:0.35 validation_0-mlogloss:0.743964 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733762 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.0415 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00898 [3] validation_0-merror:0.4 validation_0-mlogloss:0.984519 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961464 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.944493 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.926472 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91224 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89126 [9] validation_0-merror:0.35 validation_0-mlogloss:0.875219 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861619 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.849633 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.837303 [13] validation_0-merror:0.3 validation_0-mlogloss:0.828615 [14] validation_0-merror:0.35 validation_0-mlogloss:0.816871 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810434 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803747 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795621 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786021 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778633 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777016 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773698 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766955 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758793 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750377 [25] validation_0-merror:0.35 validation_0-mlogloss:0.745937 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740734 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735527 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728345 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720634 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.72022 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.717496 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.711668 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.712069 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.706859 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.705802 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.70047 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694995 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.691674 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.689106 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685215 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.68518 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.682408 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.680136 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.679736 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.677263 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.677575 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.676982 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.677089 [49] validation_0-merror:0.3 validation_0-mlogloss:0.679428 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677533 [51] validation_0-merror:0.3 validation_0-mlogloss:0.678028 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676831 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677924 [54] validation_0-merror:0.3 validation_0-mlogloss:0.677309 [55] validation_0-merror:0.3 validation_0-mlogloss:0.675138 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672896 [57] validation_0-merror:0.3 validation_0-mlogloss:0.66961 [58] validation_0-merror:0.3 validation_0-mlogloss:0.669117 [59] validation_0-merror:0.3 validation_0-mlogloss:0.668096 [60] validation_0-merror:0.3 validation_0-mlogloss:0.670605 [61] validation_0-merror:0.3 validation_0-mlogloss:0.670081 [62] validation_0-merror:0.3 validation_0-mlogloss:0.672339 [63] validation_0-merror:0.3 validation_0-mlogloss:0.673959 [64] validation_0-merror:0.3 validation_0-mlogloss:0.676302 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.668096 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05742 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02405 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995697 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972642 [4] validation_0-merror:0.35 validation_0-mlogloss:0.946458 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921359 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906187 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895523 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.881176 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867092 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.853939 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838848 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826216 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813334 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804651 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79483 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785045 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775238 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76525 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75552 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747966 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.742824 [22] validation_0-merror:0.3 validation_0-mlogloss:0.735931 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731653 [24] validation_0-merror:0.3 validation_0-mlogloss:0.726653 [25] validation_0-merror:0.3 validation_0-mlogloss:0.721867 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718301 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715342 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711698 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.706229 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703379 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.697412 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698463 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.69403 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690968 [35] validation_0-merror:0.3 validation_0-mlogloss:0.689312 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.685336 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.68133 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682269 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.680723 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681015 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678144 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.675973 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.675915 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.678087 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.67965 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.67837 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678148 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.678687 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.675915 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03459 [2] validation_0-merror:0.4 validation_0-mlogloss:1.01134 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.989289 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963289 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937254 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921792 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.910539 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.895224 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881902 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868143 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.853112 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.839718 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827152 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.81837 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807815 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798693 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791727 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787453 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779263 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.775131 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772132 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765188 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760303 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756362 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.75229 [26] validation_0-merror:0.35 validation_0-mlogloss:0.749507 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748711 [28] validation_0-merror:0.35 validation_0-mlogloss:0.743297 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.74056 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737373 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73845 [32] validation_0-merror:0.35 validation_0-mlogloss:0.73558 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.735043 [34] validation_0-merror:0.35 validation_0-mlogloss:0.733347 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.734413 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.735841 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.737129 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.733538 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.733041 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.735721 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.735221 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.734806 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.734672 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.73701 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.733041 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04022 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0149 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00018 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.978736 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954018 [6] validation_0-merror:0.35 validation_0-mlogloss:0.939694 [7] validation_0-merror:0.35 validation_0-mlogloss:0.928203 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.910807 [9] validation_0-merror:0.35 validation_0-mlogloss:0.894512 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.874845 [11] validation_0-merror:0.35 validation_0-mlogloss:0.858481 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.843379 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.831057 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821161 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816108 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803232 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795574 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787928 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777836 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.769711 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764975 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757446 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750546 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742675 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737491 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732458 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728564 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722359 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720338 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720043 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715176 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708833 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.705271 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699815 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696505 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69321 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6903 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.687306 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.687103 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.683539 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.681021 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.680059 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.679064 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.677383 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.673494 [46] validation_0-merror:0.3 validation_0-mlogloss:0.672499 [47] validation_0-merror:0.3 validation_0-mlogloss:0.670497 [48] validation_0-merror:0.3 validation_0-mlogloss:0.667309 [49] validation_0-merror:0.3 validation_0-mlogloss:0.667281 [50] validation_0-merror:0.3 validation_0-mlogloss:0.665844 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664007 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.661856 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.661193 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.658497 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.658452 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.656194 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.653576 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.65206 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.650886 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.64985 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.649709 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.649769 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.651897 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.651467 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.651071 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.646375 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.648026 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.647779 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.649156 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.649959 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.652148 Stopping. Best iteration: [66] validation_0-merror:0.266667 validation_0-mlogloss:0.646375 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06182 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00351 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.975276 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.966501 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.942416 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.926359 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909356 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.887792 [9] validation_0-merror:0.35 validation_0-mlogloss:0.871819 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.858266 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.844321 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831637 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818391 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808097 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804101 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791781 [17] validation_0-merror:0.3 validation_0-mlogloss:0.779392 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775155 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768946 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761089 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.754628 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.746659 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.74129 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734388 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733107 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722858 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.716273 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709186 [29] validation_0-merror:0.3 validation_0-mlogloss:0.70326 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698354 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692695 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689565 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68681 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683555 [35] validation_0-merror:0.3 validation_0-mlogloss:0.680263 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680014 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675757 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674404 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671604 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673352 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670845 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.666982 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665666 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.662629 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.66024 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66094 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.660586 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65727 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659335 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.656217 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.658671 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.658671 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660303 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.6595 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.65833 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.656217 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956375 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936259 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914463 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898249 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878566 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863649 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.847647 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835138 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828279 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819215 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813294 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805087 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799776 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793423 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790394 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782375 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778009 [21] validation_0-merror:0.35 validation_0-mlogloss:0.770807 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.769716 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765913 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76392 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760268 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75783 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754056 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751774 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751385 [30] validation_0-merror:0.35 validation_0-mlogloss:0.751865 [31] validation_0-merror:0.35 validation_0-mlogloss:0.749368 [32] validation_0-merror:0.35 validation_0-mlogloss:0.74777 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743322 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746175 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.747119 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.744845 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.747752 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.747655 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743322 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07077 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04437 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00848 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.991388 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966534 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942885 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925264 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908223 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.890904 [9] validation_0-merror:0.3 validation_0-mlogloss:0.875647 [10] validation_0-merror:0.3 validation_0-mlogloss:0.854558 [11] validation_0-merror:0.3 validation_0-mlogloss:0.840491 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827221 [13] validation_0-merror:0.3 validation_0-mlogloss:0.811851 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800606 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795815 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788975 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783379 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774694 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768326 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761794 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.752512 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.746488 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737609 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738096 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731773 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728996 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722857 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718217 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714247 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710631 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705708 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702036 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702801 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699536 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699971 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693817 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.692457 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.69104 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.688253 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.683443 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.67832 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.681257 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.676598 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.673951 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670761 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.673912 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673484 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.672945 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.674458 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.674378 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670761 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01957 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99458 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966839 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958943 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932493 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.909074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891507 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.874735 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857595 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842959 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827687 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81506 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794901 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788836 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778313 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770196 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764693 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758237 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748872 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744429 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733469 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728925 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722057 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716627 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.711132 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.708546 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705038 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701794 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698712 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694233 [32] validation_0-merror:0.3 validation_0-mlogloss:0.690007 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686777 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.684448 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.680633 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.678626 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.678385 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.680088 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.673909 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.672885 [41] validation_0-merror:0.25 validation_0-mlogloss:0.671785 [42] validation_0-merror:0.25 validation_0-mlogloss:0.671392 [43] validation_0-merror:0.25 validation_0-mlogloss:0.668663 [44] validation_0-merror:0.25 validation_0-mlogloss:0.665877 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.662123 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.659499 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.656242 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.652501 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654509 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.654261 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.654764 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649999 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.653464 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.653174 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.652847 [56] validation_0-merror:0.3 validation_0-mlogloss:0.652687 [57] validation_0-merror:0.3 validation_0-mlogloss:0.65049 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649999 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06219 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03721 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00749 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980592 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95304 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930459 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914669 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.898698 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.878013 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864126 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853252 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844851 [12] validation_0-merror:0.35 validation_0-mlogloss:0.83656 [13] validation_0-merror:0.35 validation_0-mlogloss:0.82694 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.817854 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809279 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.80618 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.801324 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793417 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.790064 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.780394 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774688 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.769836 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765854 [24] validation_0-merror:0.35 validation_0-mlogloss:0.766014 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761399 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75496 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754409 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.752689 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.749761 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750274 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750352 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747999 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742778 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742774 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739003 [36] validation_0-merror:0.35 validation_0-mlogloss:0.739444 [37] validation_0-merror:0.35 validation_0-mlogloss:0.739404 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737178 [39] validation_0-merror:0.35 validation_0-mlogloss:0.738632 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.737288 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.737179 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.736851 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.73757 [44] validation_0-merror:0.35 validation_0-mlogloss:0.734313 [45] validation_0-merror:0.35 validation_0-mlogloss:0.735688 [46] validation_0-merror:0.35 validation_0-mlogloss:0.73324 [47] validation_0-merror:0.35 validation_0-mlogloss:0.734752 [48] validation_0-merror:0.35 validation_0-mlogloss:0.731794 [49] validation_0-merror:0.35 validation_0-mlogloss:0.734034 [50] validation_0-merror:0.35 validation_0-mlogloss:0.730789 [51] validation_0-merror:0.35 validation_0-mlogloss:0.731043 [52] validation_0-merror:0.35 validation_0-mlogloss:0.73345 [53] validation_0-merror:0.35 validation_0-mlogloss:0.735279 [54] validation_0-merror:0.35 validation_0-mlogloss:0.736928 [55] validation_0-merror:0.35 validation_0-mlogloss:0.736398 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.730789 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07074 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04268 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01113 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.986443 [4] validation_0-merror:0.35 validation_0-mlogloss:0.9635 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942631 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.924931 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911014 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89507 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879087 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.866021 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.854658 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.841446 [13] validation_0-merror:0.3 validation_0-mlogloss:0.833315 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820971 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.813965 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.807747 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799643 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789942 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780848 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777198 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773909 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766941 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760058 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755333 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749224 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745303 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739439 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732553 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72464 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724399 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.721538 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714392 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714025 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.708942 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.706541 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702623 [37] validation_0-merror:0.3 validation_0-mlogloss:0.699558 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.696299 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.69503 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.690426 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.690145 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.689046 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.687227 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688004 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.684504 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682487 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.680327 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.678233 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682023 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680225 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679274 [52] validation_0-merror:0.3 validation_0-mlogloss:0.678744 [53] validation_0-merror:0.3 validation_0-mlogloss:0.678138 [54] validation_0-merror:0.3 validation_0-mlogloss:0.679771 [55] validation_0-merror:0.3 validation_0-mlogloss:0.677511 [56] validation_0-merror:0.3 validation_0-mlogloss:0.673812 [57] validation_0-merror:0.3 validation_0-mlogloss:0.673681 [58] validation_0-merror:0.3 validation_0-mlogloss:0.673105 [59] validation_0-merror:0.3 validation_0-mlogloss:0.672626 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.669434 [61] validation_0-merror:0.3 validation_0-mlogloss:0.672102 [62] validation_0-merror:0.3 validation_0-mlogloss:0.672796 [63] validation_0-merror:0.3 validation_0-mlogloss:0.673337 [64] validation_0-merror:0.3 validation_0-mlogloss:0.676723 [65] validation_0-merror:0.3 validation_0-mlogloss:0.672359 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.669434 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03035 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00189 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97881 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95324 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926592 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911367 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902145 [8] validation_0-merror:0.3 validation_0-mlogloss:0.886432 [9] validation_0-merror:0.3 validation_0-mlogloss:0.871772 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858696 [11] validation_0-merror:0.3 validation_0-mlogloss:0.843416 [12] validation_0-merror:0.3 validation_0-mlogloss:0.827917 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81259 [14] validation_0-merror:0.3 validation_0-mlogloss:0.803719 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792252 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785135 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77518 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764792 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757855 [20] validation_0-merror:0.3 validation_0-mlogloss:0.751365 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746033 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73846 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734053 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730537 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724143 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723244 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71837 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71548 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707963 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705802 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699827 [32] validation_0-merror:0.3 validation_0-mlogloss:0.69819 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697212 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693379 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69297 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.690063 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.685785 [38] validation_0-merror:0.3 validation_0-mlogloss:0.684366 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683338 [40] validation_0-merror:0.3 validation_0-mlogloss:0.683922 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681993 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.681843 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.68357 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.686069 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.686373 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682392 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.682929 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.681843 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0377 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01477 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.993513 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.968026 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941617 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.926638 [7] validation_0-merror:0.4 validation_0-mlogloss:0.915976 [8] validation_0-merror:0.4 validation_0-mlogloss:0.900894 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.887851 [10] validation_0-merror:0.4 validation_0-mlogloss:0.873941 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.859111 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.844513 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.832191 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.824464 [15] validation_0-merror:0.35 validation_0-mlogloss:0.815712 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806071 [17] validation_0-merror:0.35 validation_0-mlogloss:0.799411 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794801 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787692 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783757 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.781096 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.775321 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772131 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.768529 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765568 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760913 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760176 [28] validation_0-merror:0.35 validation_0-mlogloss:0.755165 [29] validation_0-merror:0.35 validation_0-mlogloss:0.754219 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752747 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.754092 [32] validation_0-merror:0.35 validation_0-mlogloss:0.751203 [33] validation_0-merror:0.35 validation_0-mlogloss:0.749152 [34] validation_0-merror:0.35 validation_0-mlogloss:0.746367 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.747445 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.7501 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.748444 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.748162 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.747818 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.746367 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.933613 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.916218 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.899911 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880178 [11] validation_0-merror:0.35 validation_0-mlogloss:0.863585 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.848468 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.83592 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.826769 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819697 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807581 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798608 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792068 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783117 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775072 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770233 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.762691 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755025 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747196 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740484 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736964 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731573 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725497 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.723188 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720434 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715824 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711185 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706938 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704037 [35] validation_0-merror:0.3 validation_0-mlogloss:0.700247 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696678 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693193 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68982 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.687878 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682328 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679968 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679358 [43] validation_0-merror:0.3 validation_0-mlogloss:0.677439 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676443 [45] validation_0-merror:0.3 validation_0-mlogloss:0.675036 [46] validation_0-merror:0.3 validation_0-mlogloss:0.674249 [47] validation_0-merror:0.3 validation_0-mlogloss:0.672638 [48] validation_0-merror:0.3 validation_0-mlogloss:0.672494 [49] validation_0-merror:0.3 validation_0-mlogloss:0.671065 [50] validation_0-merror:0.3 validation_0-mlogloss:0.671876 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672556 [52] validation_0-merror:0.3 validation_0-mlogloss:0.672254 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.670913 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.672702 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.673625 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.672117 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.670215 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.669823 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.669926 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.669647 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.669458 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.667902 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.669613 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.668986 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.666615 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.666379 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.667979 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.66567 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.666834 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.666095 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.66703 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.66965 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.669713 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.66567 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05485 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02649 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999197 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970188 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961305 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938168 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.922181 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905799 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884399 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866464 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852381 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838466 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825815 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813815 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803749 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800039 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788061 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775816 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772064 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766641 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.76046 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753004 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748386 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743822 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735762 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734226 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723822 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.71767 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711147 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708268 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703156 [31] validation_0-merror:0.3 validation_0-mlogloss:0.698687 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.69646 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693949 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691533 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687825 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684897 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685259 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688095 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684533 [40] validation_0-merror:0.3 validation_0-mlogloss:0.687122 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686178 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682432 [43] validation_0-merror:0.3 validation_0-mlogloss:0.682159 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67961 [45] validation_0-merror:0.3 validation_0-mlogloss:0.677911 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678614 [47] validation_0-merror:0.3 validation_0-mlogloss:0.675081 [48] validation_0-merror:0.3 validation_0-mlogloss:0.67177 [49] validation_0-merror:0.3 validation_0-mlogloss:0.673435 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67015 [51] validation_0-merror:0.3 validation_0-mlogloss:0.671917 [52] validation_0-merror:0.3 validation_0-mlogloss:0.670339 [53] validation_0-merror:0.3 validation_0-mlogloss:0.671873 [54] validation_0-merror:0.3 validation_0-mlogloss:0.671797 [55] validation_0-merror:0.3 validation_0-mlogloss:0.671446 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.67015 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04031 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984669 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956879 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936502 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.916002 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898781 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878871 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861852 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845744 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833852 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82705 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816185 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811505 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802492 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797296 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790883 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786666 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77849 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774474 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76801 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766876 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762896 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760781 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758521 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756263 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752034 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749122 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746774 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746225 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74268 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.742688 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741792 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744997 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.743227 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74133 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.743523 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.744125 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.744218 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.742649 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740086 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740808 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.73911 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.739447 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.73722 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.737513 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.737023 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.735821 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.73623 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.734774 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.739755 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.741665 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.743291 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.751027 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.748568 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.734774 [0] validation_0-merror:0.45 validation_0-mlogloss:1.07103 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0439 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00815 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.990923 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966127 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942377 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.924986 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907973 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.889932 [9] validation_0-merror:0.3 validation_0-mlogloss:0.874469 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853472 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.839534 [12] validation_0-merror:0.25 validation_0-mlogloss:0.824519 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.808929 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798011 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.793363 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785907 [17] validation_0-merror:0.3 validation_0-mlogloss:0.780969 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774285 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.769281 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.765587 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.756996 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755094 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749298 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.75043 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746637 [26] validation_0-merror:0.35 validation_0-mlogloss:0.740861 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734145 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728733 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72434 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.725795 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720788 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.717315 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.716712 [34] validation_0-merror:0.35 validation_0-mlogloss:0.713091 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.711602 [36] validation_0-merror:0.35 validation_0-mlogloss:0.706878 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.703868 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.701952 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.699253 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.693971 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.690322 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.692439 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689068 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684513 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.681326 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682026 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.682853 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.680943 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.682539 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.678573 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.676777 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672213 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.670771 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675373 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673803 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.675523 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.676902 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.675298 Stopping. Best iteration: [53] validation_0-merror:0.316667 validation_0-mlogloss:0.670771 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05462 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.02132 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99444 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958751 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932246 [6] validation_0-merror:0.3 validation_0-mlogloss:0.910637 [7] validation_0-merror:0.3 validation_0-mlogloss:0.892752 [8] validation_0-merror:0.3 validation_0-mlogloss:0.875659 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.858864 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843744 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828658 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817388 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809681 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798013 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791645 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780717 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771188 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764545 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75953 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750815 [21] validation_0-merror:0.3 validation_0-mlogloss:0.746172 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734313 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728249 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719145 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.713482 [26] validation_0-merror:0.3 validation_0-mlogloss:0.706812 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704543 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.700963 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700118 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.69782 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694393 [32] validation_0-merror:0.3 validation_0-mlogloss:0.68849 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.685086 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.682965 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.678453 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.675905 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.675506 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677188 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.670648 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.670364 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.669979 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670125 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66873 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665908 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.665264 [46] validation_0-merror:0.3 validation_0-mlogloss:0.664912 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.663758 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661308 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662828 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.662361 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664447 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662382 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.666187 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661308 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06212 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03714 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00786 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980917 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.954327 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932207 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899927 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879033 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865045 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853749 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.844314 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836312 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827315 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.81905 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.808865 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80562 [17] validation_0-merror:0.4 validation_0-mlogloss:0.799848 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792852 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789445 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77979 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774691 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770096 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766237 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76623 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761567 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755232 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754487 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749577 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744766 [30] validation_0-merror:0.35 validation_0-mlogloss:0.743722 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743223 [32] validation_0-merror:0.35 validation_0-mlogloss:0.740695 [33] validation_0-merror:0.35 validation_0-mlogloss:0.742675 [34] validation_0-merror:0.35 validation_0-mlogloss:0.742254 [35] validation_0-merror:0.35 validation_0-mlogloss:0.738255 [36] validation_0-merror:0.35 validation_0-mlogloss:0.736411 [37] validation_0-merror:0.35 validation_0-mlogloss:0.73643 [38] validation_0-merror:0.35 validation_0-mlogloss:0.734536 [39] validation_0-merror:0.35 validation_0-mlogloss:0.735944 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.734649 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.735639 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.735424 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.73674 Stopping. Best iteration: [38] validation_0-merror:0.35 validation_0-mlogloss:0.734536 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04072 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00836 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.98375 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961685 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.945778 [6] validation_0-merror:0.35 validation_0-mlogloss:0.927986 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.914023 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.898275 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879524 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867025 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854732 [12] validation_0-merror:0.3 validation_0-mlogloss:0.841713 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.833765 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.821563 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.814607 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809888 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801842 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79274 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785155 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781607 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77838 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771421 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765282 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.762989 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756087 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752224 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746812 [28] validation_0-merror:0.35 validation_0-mlogloss:0.739863 [29] validation_0-merror:0.35 validation_0-mlogloss:0.735306 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737663 [31] validation_0-merror:0.35 validation_0-mlogloss:0.733213 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726197 [33] validation_0-merror:0.35 validation_0-mlogloss:0.728202 [34] validation_0-merror:0.35 validation_0-mlogloss:0.721429 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.717998 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.715129 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.711004 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.707961 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.707329 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.702757 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.702355 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.701834 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.703327 [44] validation_0-merror:0.35 validation_0-mlogloss:0.704699 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.700473 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.698836 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.697535 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.697921 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.702787 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.698698 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.700138 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.698267 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.697535 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02915 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00092 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.978453 [4] validation_0-merror:0.35 validation_0-mlogloss:0.953416 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92665 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911484 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.9017 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.885987 [9] validation_0-merror:0.3 validation_0-mlogloss:0.87139 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858233 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841856 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82776 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.815146 [14] validation_0-merror:0.3 validation_0-mlogloss:0.806329 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796201 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.787068 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.779696 [18] validation_0-merror:0.3 validation_0-mlogloss:0.769129 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759248 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.75226 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746517 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740102 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734197 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730698 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724856 [26] validation_0-merror:0.3 validation_0-mlogloss:0.721746 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717323 [28] validation_0-merror:0.3 validation_0-mlogloss:0.71583 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709585 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706525 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704795 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703589 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700763 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.698117 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699383 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697079 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691736 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69246 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690453 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691884 [41] validation_0-merror:0.3 validation_0-mlogloss:0.690717 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.690673 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688208 [44] validation_0-merror:0.3 validation_0-mlogloss:0.689923 [45] validation_0-merror:0.3 validation_0-mlogloss:0.690402 [46] validation_0-merror:0.3 validation_0-mlogloss:0.685441 [47] validation_0-merror:0.3 validation_0-mlogloss:0.687632 [48] validation_0-merror:0.3 validation_0-mlogloss:0.687881 [49] validation_0-merror:0.3 validation_0-mlogloss:0.685604 [50] validation_0-merror:0.3 validation_0-mlogloss:0.684328 [51] validation_0-merror:0.3 validation_0-mlogloss:0.686834 [52] validation_0-merror:0.3 validation_0-mlogloss:0.682897 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.684096 [54] validation_0-merror:0.3 validation_0-mlogloss:0.68393 [55] validation_0-merror:0.3 validation_0-mlogloss:0.681928 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.679166 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.677386 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.678222 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.678806 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.676141 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.675186 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.676585 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.676573 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.673557 [65] validation_0-merror:0.3 validation_0-mlogloss:0.673082 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.673614 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.676217 [68] validation_0-merror:0.3 validation_0-mlogloss:0.676811 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.676609 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.675948 Stopping. Best iteration: [65] validation_0-merror:0.3 validation_0-mlogloss:0.673082 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06302 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03594 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01207 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.991244 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.96499 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938885 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.923798 [7] validation_0-merror:0.35 validation_0-mlogloss:0.913368 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.898207 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.88404 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870162 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.85476 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.840062 [13] validation_0-merror:0.35 validation_0-mlogloss:0.826888 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817707 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807289 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.797855 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791876 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785789 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778829 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774597 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772833 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766299 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.763182 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75979 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755738 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75239 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75146 [28] validation_0-merror:0.35 validation_0-mlogloss:0.747554 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.744821 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.744224 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.745932 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.742503 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741561 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738565 [35] validation_0-merror:0.35 validation_0-mlogloss:0.735923 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738937 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738586 [38] validation_0-merror:0.35 validation_0-mlogloss:0.737955 [39] validation_0-merror:0.35 validation_0-mlogloss:0.737076 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.737463 Stopping. Best iteration: [35] validation_0-merror:0.35 validation_0-mlogloss:0.735923 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.934464 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917371 [9] validation_0-merror:0.35 validation_0-mlogloss:0.89965 [10] validation_0-merror:0.35 validation_0-mlogloss:0.879981 [11] validation_0-merror:0.35 validation_0-mlogloss:0.863539 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.848462 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.835925 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.826766 [15] validation_0-merror:0.35 validation_0-mlogloss:0.821799 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809402 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79981 [18] validation_0-merror:0.35 validation_0-mlogloss:0.793036 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783893 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775876 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771382 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764002 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.759089 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.750664 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.747368 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740122 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734747 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729371 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723961 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718424 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712907 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.707921 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70598 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.701468 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699353 [36] validation_0-merror:0.3 validation_0-mlogloss:0.695248 [37] validation_0-merror:0.3 validation_0-mlogloss:0.692922 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690317 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.687067 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68348 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680975 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679024 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.676862 [44] validation_0-merror:0.3 validation_0-mlogloss:0.674916 [45] validation_0-merror:0.3 validation_0-mlogloss:0.670243 [46] validation_0-merror:0.3 validation_0-mlogloss:0.669861 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66936 [48] validation_0-merror:0.3 validation_0-mlogloss:0.667868 [49] validation_0-merror:0.3 validation_0-mlogloss:0.666865 [50] validation_0-merror:0.3 validation_0-mlogloss:0.666959 [51] validation_0-merror:0.3 validation_0-mlogloss:0.663718 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662477 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660566 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.663914 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.665304 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.66431 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.662563 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.661806 Stopping. Best iteration: [53] validation_0-merror:0.283333 validation_0-mlogloss:0.660566 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0233 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.996704 [3] validation_0-merror:0.45 validation_0-mlogloss:0.962015 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.953261 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.928013 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908452 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.892874 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874828 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855256 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843001 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.831904 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817182 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.802758 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802002 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788981 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77944 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772425 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766628 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754879 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745251 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736621 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728362 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721814 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.721846 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710993 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705416 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.700705 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693757 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.684123 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.679534 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.675156 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.669372 [34] validation_0-merror:0.3 validation_0-mlogloss:0.668815 [35] validation_0-merror:0.3 validation_0-mlogloss:0.666743 [36] validation_0-merror:0.3 validation_0-mlogloss:0.663897 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.657818 [38] validation_0-merror:0.3 validation_0-mlogloss:0.659063 [39] validation_0-merror:0.3 validation_0-mlogloss:0.654449 [40] validation_0-merror:0.3 validation_0-mlogloss:0.657836 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65804 [42] validation_0-merror:0.3 validation_0-mlogloss:0.655942 [43] validation_0-merror:0.3 validation_0-mlogloss:0.654604 [44] validation_0-merror:0.3 validation_0-mlogloss:0.653602 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651951 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.649287 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.647363 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.649506 [49] validation_0-merror:0.3 validation_0-mlogloss:0.65179 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651062 [51] validation_0-merror:0.3 validation_0-mlogloss:0.653763 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653382 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.647363 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05977 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03476 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994928 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968505 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935257 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913253 [6] validation_0-merror:0.3 validation_0-mlogloss:0.891491 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873853 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855339 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840505 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826185 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814046 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809637 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801146 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794619 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783723 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.782169 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78101 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.778973 [19] validation_0-merror:0.35 validation_0-mlogloss:0.770279 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771222 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764553 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764661 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760895 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76459 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762742 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758723 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755403 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749801 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.747601 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747042 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748093 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.750031 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749841 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.755888 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752557 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747042 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.03305 [2] validation_0-merror:0.216667 validation_0-mlogloss:0.99152 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967728 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932072 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908885 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896399 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883408 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864274 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849271 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83049 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820268 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805762 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791452 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776198 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770561 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762398 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.759824 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749091 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.739954 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.736968 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733857 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.726904 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.71915 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71889 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716759 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.708274 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702061 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700532 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695403 [30] validation_0-merror:0.3 validation_0-mlogloss:0.692901 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693274 [32] validation_0-merror:0.3 validation_0-mlogloss:0.694806 [33] validation_0-merror:0.3 validation_0-mlogloss:0.699824 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.701757 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.707122 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.692901 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01267 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.979239 [3] validation_0-merror:0.3 validation_0-mlogloss:0.953678 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948674 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917928 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898909 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883464 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865941 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847241 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83151 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819637 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805676 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.792349 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782087 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777356 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768496 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76131 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.755304 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751804 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743005 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738634 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.727332 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722214 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712772 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710152 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703241 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703209 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.699542 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695826 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691378 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.687836 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.682127 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67853 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676128 [35] validation_0-merror:0.3 validation_0-mlogloss:0.675118 [36] validation_0-merror:0.3 validation_0-mlogloss:0.673518 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67427 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678264 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676487 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676226 [41] validation_0-merror:0.3 validation_0-mlogloss:0.674497 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.673518 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06281 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03223 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997616 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964761 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939255 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9187 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898265 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881065 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85942 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846731 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83693 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826729 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820284 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808438 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801066 [15] validation_0-merror:0.35 validation_0-mlogloss:0.791639 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792339 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.787481 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782427 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.779217 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773258 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77046 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766366 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762323 [24] validation_0-merror:0.35 validation_0-mlogloss:0.767279 [25] validation_0-merror:0.35 validation_0-mlogloss:0.765248 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762865 [27] validation_0-merror:0.35 validation_0-mlogloss:0.761741 [28] validation_0-merror:0.35 validation_0-mlogloss:0.763631 [29] validation_0-merror:0.35 validation_0-mlogloss:0.759087 [30] validation_0-merror:0.35 validation_0-mlogloss:0.760575 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761558 [32] validation_0-merror:0.35 validation_0-mlogloss:0.760834 [33] validation_0-merror:0.35 validation_0-mlogloss:0.76032 [34] validation_0-merror:0.35 validation_0-mlogloss:0.761468 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.759087 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06108 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02673 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.993567 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976437 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953032 [5] validation_0-merror:0.35 validation_0-mlogloss:0.939259 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.916765 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.906949 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.889715 [9] validation_0-merror:0.3 validation_0-mlogloss:0.873065 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.85974 [11] validation_0-merror:0.3 validation_0-mlogloss:0.851468 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.836998 [13] validation_0-merror:0.3 validation_0-mlogloss:0.825175 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81087 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804139 [16] validation_0-merror:0.3 validation_0-mlogloss:0.803189 [17] validation_0-merror:0.3 validation_0-mlogloss:0.796384 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786701 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778403 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776571 [21] validation_0-merror:0.3 validation_0-mlogloss:0.772509 [22] validation_0-merror:0.3 validation_0-mlogloss:0.769226 [23] validation_0-merror:0.3 validation_0-mlogloss:0.761862 [24] validation_0-merror:0.3 validation_0-mlogloss:0.75583 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752166 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.746246 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744925 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739277 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73389 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.733168 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733128 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728525 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.733878 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.731284 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.727543 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.725916 [37] validation_0-merror:0.3 validation_0-mlogloss:0.729357 [38] validation_0-merror:0.3 validation_0-mlogloss:0.729769 [39] validation_0-merror:0.3 validation_0-mlogloss:0.729508 [40] validation_0-merror:0.3 validation_0-mlogloss:0.726392 [41] validation_0-merror:0.3 validation_0-mlogloss:0.7267 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.725916 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05163 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01472 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982664 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958342 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.925454 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899819 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881617 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.868069 [8] validation_0-merror:0.3 validation_0-mlogloss:0.852294 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839182 [10] validation_0-merror:0.3 validation_0-mlogloss:0.826971 [11] validation_0-merror:0.3 validation_0-mlogloss:0.810114 [12] validation_0-merror:0.25 validation_0-mlogloss:0.790386 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.774826 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.765283 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.75846 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.750123 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743273 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.735507 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.732486 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.724789 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.719824 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.714736 [23] validation_0-merror:0.25 validation_0-mlogloss:0.709936 [24] validation_0-merror:0.25 validation_0-mlogloss:0.706066 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.700923 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.69933 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.695509 [28] validation_0-merror:0.25 validation_0-mlogloss:0.692423 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.689535 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.685299 [31] validation_0-merror:0.25 validation_0-mlogloss:0.680529 [32] validation_0-merror:0.25 validation_0-mlogloss:0.676186 [33] validation_0-merror:0.216667 validation_0-mlogloss:0.6718 [34] validation_0-merror:0.216667 validation_0-mlogloss:0.668021 [35] validation_0-merror:0.216667 validation_0-mlogloss:0.666941 [36] validation_0-merror:0.216667 validation_0-mlogloss:0.666067 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.665532 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.662619 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.664444 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.664304 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.662929 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.661807 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.663235 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.662685 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.662153 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.661766 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.661961 [48] validation_0-merror:0.233333 validation_0-mlogloss:0.661807 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.661057 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.659192 [51] validation_0-merror:0.25 validation_0-mlogloss:0.658569 [52] validation_0-merror:0.25 validation_0-mlogloss:0.656427 [53] validation_0-merror:0.25 validation_0-mlogloss:0.655437 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.656296 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.658899 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.655832 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.655479 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.654999 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.655042 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.654957 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.655156 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.65584 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.656283 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.655433 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.654625 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.654053 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.655587 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.656468 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.65954 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.662747 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.662859 Stopping. Best iteration: [66] validation_0-merror:0.283333 validation_0-mlogloss:0.654053 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05782 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03231 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00419 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983467 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952031 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928015 [6] validation_0-merror:0.35 validation_0-mlogloss:0.914782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905633 [8] validation_0-merror:0.35 validation_0-mlogloss:0.895531 [9] validation_0-merror:0.3 validation_0-mlogloss:0.882097 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.871511 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.856329 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.841174 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.828227 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.823512 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.815136 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809376 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.804187 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.804182 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.795227 [20] validation_0-merror:0.35 validation_0-mlogloss:0.795801 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.792579 [22] validation_0-merror:0.35 validation_0-mlogloss:0.791407 [23] validation_0-merror:0.35 validation_0-mlogloss:0.788524 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.78794 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785923 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.788464 [27] validation_0-merror:0.35 validation_0-mlogloss:0.787903 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.790071 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.789611 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.79483 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785923 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03235 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997482 [3] validation_0-merror:0.35 validation_0-mlogloss:0.978676 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950769 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924161 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891931 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870557 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.851661 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836867 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829783 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80758 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791057 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.7873 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774599 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763268 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.755087 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750177 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74159 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.733284 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.729848 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725326 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716436 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710488 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.703544 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.705864 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.699831 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.692563 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.690691 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.690518 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694707 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.693464 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694643 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.689537 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.687931 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692593 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.699416 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.697053 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.697175 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697412 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.687931 [0] validation_0-merror:0.5 validation_0-mlogloss:1.05515 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02157 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.996616 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.967648 [4] validation_0-merror:0.4 validation_0-mlogloss:0.958523 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.936462 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.917845 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899813 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.88369 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865392 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.855862 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845072 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835115 [13] validation_0-merror:0.35 validation_0-mlogloss:0.826448 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.818408 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.816791 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.804499 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790446 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78517 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778797 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.76822 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.758786 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751705 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746808 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.737111 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735002 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.725924 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.723258 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.716615 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.709815 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.700001 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693915 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.690141 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688854 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686084 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.681679 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680508 [37] validation_0-merror:0.3 validation_0-mlogloss:0.678207 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678619 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.678173 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.678899 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.67759 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672965 [43] validation_0-merror:0.3 validation_0-mlogloss:0.6723 [44] validation_0-merror:0.3 validation_0-mlogloss:0.671806 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.670085 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.667152 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665023 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.665205 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.66623 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664105 [51] validation_0-merror:0.3 validation_0-mlogloss:0.66608 [52] validation_0-merror:0.3 validation_0-mlogloss:0.667021 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.667951 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.662637 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.661829 [56] validation_0-merror:0.3 validation_0-mlogloss:0.660472 [57] validation_0-merror:0.3 validation_0-mlogloss:0.657844 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.659832 [59] validation_0-merror:0.3 validation_0-mlogloss:0.664913 [60] validation_0-merror:0.3 validation_0-mlogloss:0.662761 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.664984 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.665409 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.657844 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03782 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00147 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974649 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940572 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.918635 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896043 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879084 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860577 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843706 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827238 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812654 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805595 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.795739 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78792 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77466 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.772602 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.770202 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.769234 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.765387 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.766187 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762008 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760108 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758514 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760799 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758683 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755421 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.753541 [28] validation_0-merror:0.35 validation_0-mlogloss:0.755903 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751672 [30] validation_0-merror:0.35 validation_0-mlogloss:0.751562 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750668 [32] validation_0-merror:0.35 validation_0-mlogloss:0.750654 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.749912 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.750569 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.753405 [36] validation_0-merror:0.35 validation_0-mlogloss:0.751114 [37] validation_0-merror:0.35 validation_0-mlogloss:0.750227 [38] validation_0-merror:0.35 validation_0-mlogloss:0.748123 [39] validation_0-merror:0.35 validation_0-mlogloss:0.745632 [40] validation_0-merror:0.35 validation_0-mlogloss:0.743268 [41] validation_0-merror:0.35 validation_0-mlogloss:0.744064 [42] validation_0-merror:0.35 validation_0-mlogloss:0.745566 [43] validation_0-merror:0.35 validation_0-mlogloss:0.744347 [44] validation_0-merror:0.35 validation_0-mlogloss:0.743727 [45] validation_0-merror:0.35 validation_0-mlogloss:0.746524 Stopping. Best iteration: [40] validation_0-merror:0.35 validation_0-mlogloss:0.743268 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03259 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.993903 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.977234 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947366 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924489 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90893 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895702 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87664 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865407 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846856 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840305 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826558 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.811038 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794264 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790548 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782089 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775482 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767408 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757127 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753228 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747821 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740468 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732272 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731831 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728245 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720375 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714583 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709729 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706379 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704698 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702073 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700758 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.704815 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703243 [35] validation_0-merror:0.3 validation_0-mlogloss:0.708839 [36] validation_0-merror:0.3 validation_0-mlogloss:0.702545 [37] validation_0-merror:0.3 validation_0-mlogloss:0.70077 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.700758 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01148 [2] validation_0-merror:0.3 validation_0-mlogloss:0.979347 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949601 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945285 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895098 [7] validation_0-merror:0.3 validation_0-mlogloss:0.877769 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.859052 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840724 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824451 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812316 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798119 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788275 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.780239 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775726 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76506 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.754811 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749139 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.745203 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735739 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.730802 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72081 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.714841 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.706214 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.7047 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.696964 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.696625 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.692648 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69055 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687876 [31] validation_0-merror:0.3 validation_0-mlogloss:0.682102 [32] validation_0-merror:0.3 validation_0-mlogloss:0.676973 [33] validation_0-merror:0.3 validation_0-mlogloss:0.673325 [34] validation_0-merror:0.3 validation_0-mlogloss:0.670712 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.668088 [36] validation_0-merror:0.3 validation_0-mlogloss:0.669676 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.671209 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67478 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670937 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669201 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.668088 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06394 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02859 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996955 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962044 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934626 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915106 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896764 [7] validation_0-merror:0.3 validation_0-mlogloss:0.881633 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.86223 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847968 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836819 [11] validation_0-merror:0.3 validation_0-mlogloss:0.827348 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817391 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806057 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79968 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791273 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.791223 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.786737 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78251 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.782159 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77838 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777932 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770054 [23] validation_0-merror:0.35 validation_0-mlogloss:0.763799 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76456 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760984 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75622 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754656 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756188 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751405 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75175 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754722 [32] validation_0-merror:0.35 validation_0-mlogloss:0.753237 [33] validation_0-merror:0.35 validation_0-mlogloss:0.752152 [34] validation_0-merror:0.35 validation_0-mlogloss:0.751345 [35] validation_0-merror:0.35 validation_0-mlogloss:0.754426 [36] validation_0-merror:0.35 validation_0-mlogloss:0.758146 [37] validation_0-merror:0.35 validation_0-mlogloss:0.761241 [38] validation_0-merror:0.35 validation_0-mlogloss:0.762747 [39] validation_0-merror:0.35 validation_0-mlogloss:0.763756 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.751345 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06085 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03101 [2] validation_0-merror:0.3 validation_0-mlogloss:0.99826 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.977187 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943884 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926142 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.906231 [7] validation_0-merror:0.3 validation_0-mlogloss:0.891404 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871665 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.859411 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849383 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839291 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.823467 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812982 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798696 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.792502 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.78722 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.780476 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774102 [19] validation_0-merror:0.25 validation_0-mlogloss:0.76466 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765676 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763247 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755771 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.750407 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.745756 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742601 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736696 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.731547 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.726341 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.720721 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719577 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.718245 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714237 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.71898 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.716165 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.715755 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.714175 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.711718 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.70848 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.708398 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.705285 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.7051 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.703251 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.704118 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.710341 [45] validation_0-merror:0.3 validation_0-mlogloss:0.71003 [46] validation_0-merror:0.3 validation_0-mlogloss:0.707974 [47] validation_0-merror:0.3 validation_0-mlogloss:0.705136 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.703251 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05358 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987592 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962154 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930433 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903767 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.884688 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.875211 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85969 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845663 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834777 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8199 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.799782 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.783686 [14] validation_0-merror:0.3 validation_0-mlogloss:0.772538 [15] validation_0-merror:0.3 validation_0-mlogloss:0.765963 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756428 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.74649 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.739045 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.729408 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.724004 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.719715 [22] validation_0-merror:0.35 validation_0-mlogloss:0.714827 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.710564 [24] validation_0-merror:0.3 validation_0-mlogloss:0.705707 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.699391 [26] validation_0-merror:0.3 validation_0-mlogloss:0.693612 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.688437 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.685658 [30] validation_0-merror:0.3 validation_0-mlogloss:0.681886 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.677714 [32] validation_0-merror:0.3 validation_0-mlogloss:0.673605 [33] validation_0-merror:0.3 validation_0-mlogloss:0.669638 [34] validation_0-merror:0.3 validation_0-mlogloss:0.663663 [35] validation_0-merror:0.3 validation_0-mlogloss:0.663346 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.663671 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.66425 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.664766 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.66501 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.66678 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.663346 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0278 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996363 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974581 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.948123 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925204 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899929 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.888736 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.880006 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867305 [11] validation_0-merror:0.35 validation_0-mlogloss:0.849409 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.834798 [13] validation_0-merror:0.35 validation_0-mlogloss:0.821923 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815059 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806191 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796262 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791766 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789362 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783706 [20] validation_0-merror:0.35 validation_0-mlogloss:0.782909 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.780158 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.77886 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776328 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775683 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773751 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.777452 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772754 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.773044 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.773686 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.777243 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.779198 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.779035 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772754 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03286 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00049 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981795 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957162 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929954 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911073 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894887 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.874696 [9] validation_0-merror:0.35 validation_0-mlogloss:0.857985 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841975 [11] validation_0-merror:0.3 validation_0-mlogloss:0.825328 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.805911 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.793269 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785834 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77619 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.766133 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757687 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752552 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744723 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743305 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743357 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738231 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730075 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723878 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719687 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.71636 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71136 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.70721 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.705056 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.706901 [31] validation_0-merror:0.35 validation_0-mlogloss:0.708148 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.701966 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699511 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.696597 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694648 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.698692 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.701374 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.698717 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.696614 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.694914 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694648 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02968 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00214 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.974151 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963989 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939676 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92271 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905403 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889432 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870338 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.858019 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.846394 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.834394 [13] validation_0-merror:0.35 validation_0-mlogloss:0.82446 [14] validation_0-merror:0.35 validation_0-mlogloss:0.81883 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816146 [16] validation_0-merror:0.35 validation_0-mlogloss:0.804012 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791757 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786965 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.782051 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.77192 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763191 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752295 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744122 [24] validation_0-merror:0.35 validation_0-mlogloss:0.735747 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734407 [26] validation_0-merror:0.35 validation_0-mlogloss:0.72524 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71865 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714424 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710557 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705464 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699088 [32] validation_0-merror:0.3 validation_0-mlogloss:0.697389 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694267 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.692583 [35] validation_0-merror:0.3 validation_0-mlogloss:0.6898 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69203 [37] validation_0-merror:0.3 validation_0-mlogloss:0.690527 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.691668 [39] validation_0-merror:0.3 validation_0-mlogloss:0.688274 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689869 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686765 [42] validation_0-merror:0.3 validation_0-mlogloss:0.684515 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680978 [44] validation_0-merror:0.3 validation_0-mlogloss:0.678473 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.67788 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67805 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.674358 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.670939 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674243 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.671011 [51] validation_0-merror:0.3 validation_0-mlogloss:0.67392 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676391 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.677258 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.670939 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03549 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998109 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.974118 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941115 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.920036 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881923 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860939 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843583 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826925 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812317 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805201 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796719 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788863 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77851 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.772925 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76953 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.766532 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.764794 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759562 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.755153 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.753869 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.751724 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.753841 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752781 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.750353 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742778 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.742492 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.741052 [30] validation_0-merror:0.35 validation_0-mlogloss:0.741138 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.739152 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.736152 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.734233 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738441 [35] validation_0-merror:0.35 validation_0-mlogloss:0.743632 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738388 [37] validation_0-merror:0.35 validation_0-mlogloss:0.742896 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.74326 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.734233 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06803 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03951 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00143 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.979244 [4] validation_0-merror:0.3 validation_0-mlogloss:0.951621 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.927742 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.906349 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.893402 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875753 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.859756 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840763 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.83183 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819207 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804532 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.793007 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789237 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782231 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776758 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769627 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762506 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758604 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752378 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748515 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.741094 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738417 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.73406 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728343 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722208 [28] validation_0-merror:0.3 validation_0-mlogloss:0.718296 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712905 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709118 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706497 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704689 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706157 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703621 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70607 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702936 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.702381 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699589 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.698522 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694246 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691124 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.692553 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688492 [44] validation_0-merror:0.3 validation_0-mlogloss:0.689449 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.688949 [46] validation_0-merror:0.3 validation_0-mlogloss:0.687171 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.687739 [48] validation_0-merror:0.3 validation_0-mlogloss:0.690223 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692538 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690925 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.689743 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.687171 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05231 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01255 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98632 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95749 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950254 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918735 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898498 [7] validation_0-merror:0.35 validation_0-mlogloss:0.881334 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862423 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843036 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83084 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818262 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80405 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793551 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78461 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780613 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.768671 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757724 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75207 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.748818 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73822 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733153 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.724905 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.719184 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.709182 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707601 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.700854 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.700382 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696103 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693758 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.689943 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.682119 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.677882 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.67668 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.674087 [35] validation_0-merror:0.3 validation_0-mlogloss:0.66973 [36] validation_0-merror:0.3 validation_0-mlogloss:0.668447 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.668032 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.671058 [39] validation_0-merror:0.3 validation_0-mlogloss:0.667522 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.667629 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.660207 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.657332 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.655244 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.653126 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.650836 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.64999 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.648399 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646503 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.648863 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.649582 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.649968 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650287 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.654379 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646503 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06502 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03449 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00059 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967593 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939381 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902348 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887117 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863319 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850403 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840568 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829119 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819256 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811015 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807723 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798726 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.796082 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792268 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.789778 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.788623 [20] validation_0-merror:0.35 validation_0-mlogloss:0.784735 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781558 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776168 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770167 [24] validation_0-merror:0.35 validation_0-mlogloss:0.771775 [25] validation_0-merror:0.35 validation_0-mlogloss:0.769735 [26] validation_0-merror:0.35 validation_0-mlogloss:0.765907 [27] validation_0-merror:0.35 validation_0-mlogloss:0.763855 [28] validation_0-merror:0.35 validation_0-mlogloss:0.762114 [29] validation_0-merror:0.35 validation_0-mlogloss:0.757966 [30] validation_0-merror:0.35 validation_0-mlogloss:0.76038 [31] validation_0-merror:0.35 validation_0-mlogloss:0.763148 [32] validation_0-merror:0.35 validation_0-mlogloss:0.761156 [33] validation_0-merror:0.35 validation_0-mlogloss:0.759427 [34] validation_0-merror:0.35 validation_0-mlogloss:0.758287 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.757966 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06201 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03428 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00276 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973729 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.94188 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.91992 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.900526 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.885027 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.867232 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855027 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.842741 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.829925 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815903 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802489 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790233 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784761 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78158 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.776035 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767206 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.758941 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757991 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.756094 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.751557 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.74231 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.734667 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.731244 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729401 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.725325 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.720735 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.71601 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.715206 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714081 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.709541 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.714744 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.71165 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.711737 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.710875 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.711093 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.709541 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02071 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991321 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964263 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935962 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.909668 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891435 [7] validation_0-merror:0.3 validation_0-mlogloss:0.879746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863576 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851289 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.839156 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819564 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802146 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.78963 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778637 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769858 [16] validation_0-merror:0.3 validation_0-mlogloss:0.762435 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7521 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.745207 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.73761 [20] validation_0-merror:0.3 validation_0-mlogloss:0.728643 [21] validation_0-merror:0.3 validation_0-mlogloss:0.724855 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.718456 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717269 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.715043 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.708517 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.699953 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.695986 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.695703 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.69206 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.686815 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.681836 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.677734 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.671887 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.667873 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.669188 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.667055 [37] validation_0-merror:0.25 validation_0-mlogloss:0.665656 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.663519 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.66283 [40] validation_0-merror:0.25 validation_0-mlogloss:0.664658 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.664202 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.665384 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.66487 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665038 Stopping. Best iteration: [39] validation_0-merror:0.233333 validation_0-mlogloss:0.66283 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02476 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992998 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942362 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919305 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902205 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891507 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87941 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86739 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855909 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837979 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82482 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813983 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807756 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799233 [16] validation_0-merror:0.35 validation_0-mlogloss:0.790746 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.7877 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.783258 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778506 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774349 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774181 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.770739 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.76683 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765753 [25] validation_0-merror:0.35 validation_0-mlogloss:0.762834 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764606 [27] validation_0-merror:0.35 validation_0-mlogloss:0.766509 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765152 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766316 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.769295 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.762834 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06775 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03876 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00624 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.987838 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.965804 [5] validation_0-merror:0.4 validation_0-mlogloss:0.93943 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.921878 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.906096 [8] validation_0-merror:0.35 validation_0-mlogloss:0.886383 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870132 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852672 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837191 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819887 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806022 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799096 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78794 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773524 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764355 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758061 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749567 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744377 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742286 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736624 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728629 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721858 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.719508 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715228 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.710126 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705729 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703977 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.702833 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.705084 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.699007 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696804 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.696293 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694312 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696365 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698929 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696153 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695143 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.694426 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694312 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973412 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964505 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.918936 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900122 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.883182 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866406 [10] validation_0-merror:0.4 validation_0-mlogloss:0.853462 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838077 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826451 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816765 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810692 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.809718 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.797864 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785855 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780304 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774827 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764014 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756787 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749344 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7453 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735124 [25] validation_0-merror:0.3 validation_0-mlogloss:0.737418 [26] validation_0-merror:0.3 validation_0-mlogloss:0.732049 [27] validation_0-merror:0.3 validation_0-mlogloss:0.729062 [28] validation_0-merror:0.3 validation_0-mlogloss:0.723893 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722286 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716298 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713566 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713655 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711288 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.711901 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709153 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.710808 [37] validation_0-merror:0.3 validation_0-mlogloss:0.706948 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.707732 [39] validation_0-merror:0.3 validation_0-mlogloss:0.70611 [40] validation_0-merror:0.3 validation_0-mlogloss:0.706644 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702993 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.700212 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.698061 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.697325 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.695016 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695666 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692006 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691 [49] validation_0-merror:0.3 validation_0-mlogloss:0.693522 [50] validation_0-merror:0.3 validation_0-mlogloss:0.695183 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.698685 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.699677 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.700022 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.691 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0433 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00694 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981277 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947101 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.926704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908348 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890279 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871061 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854727 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.83782 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825091 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820305 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811733 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.804994 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798056 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791144 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.78634 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779514 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772206 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766216 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.758763 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.757266 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754356 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753958 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.750941 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748751 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.746622 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.743454 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740494 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.743119 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.739832 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.738114 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.735156 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738219 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.740429 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.735897 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.741165 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.740528 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.735156 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934158 [6] validation_0-merror:0.3 validation_0-mlogloss:0.912916 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899184 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.882987 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869163 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847957 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835131 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.822634 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808672 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.796924 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795724 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.789409 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782848 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770354 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765852 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757909 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749238 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74592 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.735983 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.735354 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.731637 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.726033 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.718839 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718042 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.71336 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708815 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702793 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703088 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703493 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700512 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699773 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69499 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695433 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692987 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.688895 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.683063 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.681063 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.682229 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.67755 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.676088 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672706 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.674218 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.674956 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679548 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.680304 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.677567 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672706 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01168 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988605 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.96075 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953827 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922889 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901056 [7] validation_0-merror:0.35 validation_0-mlogloss:0.88199 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866251 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847174 [10] validation_0-merror:0.35 validation_0-mlogloss:0.83223 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81768 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804641 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795057 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786376 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782848 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773385 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762892 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757938 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752494 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742248 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737446 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725462 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720192 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.711409 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709771 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.703832 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.703536 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698737 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696325 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.692514 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685909 [32] validation_0-merror:0.3 validation_0-mlogloss:0.681405 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.678765 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676196 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.669702 [36] validation_0-merror:0.3 validation_0-mlogloss:0.66872 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668183 [38] validation_0-merror:0.3 validation_0-mlogloss:0.67052 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662362 [40] validation_0-merror:0.3 validation_0-mlogloss:0.664795 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.659547 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.660642 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.659469 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.657497 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.654508 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.653087 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.650572 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.64677 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.647151 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.647698 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.648338 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.645586 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.649061 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.64954 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.652601 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652527 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.652843 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.645586 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02999 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999312 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968047 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939353 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921457 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.906352 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887894 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86446 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.850323 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839423 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829522 [12] validation_0-merror:0.35 validation_0-mlogloss:0.821115 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812818 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.806382 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798127 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795716 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789545 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783745 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783722 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779152 [21] validation_0-merror:0.4 validation_0-mlogloss:0.776009 [22] validation_0-merror:0.4 validation_0-mlogloss:0.770797 [23] validation_0-merror:0.4 validation_0-mlogloss:0.768644 [24] validation_0-merror:0.4 validation_0-mlogloss:0.770424 [25] validation_0-merror:0.4 validation_0-mlogloss:0.767689 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76341 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.760776 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.759848 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759528 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76157 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.765043 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.7627 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.762084 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.761426 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759528 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03584 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00216 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974032 [4] validation_0-merror:0.3 validation_0-mlogloss:0.945109 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.922019 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.904531 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.8895 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.87189 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857432 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843977 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.831937 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.818695 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.805914 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.796636 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.790858 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786561 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.78004 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.772466 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.763918 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.761349 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759882 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.753916 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.747263 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.744004 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.739378 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.738828 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.734323 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.732458 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.728777 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.728276 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.722389 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.714679 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.717458 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.713398 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.7145 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.713464 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.7125 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.711852 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.712857 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.707531 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.707029 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.708181 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.709098 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.712225 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.70945 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.705095 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.704629 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.706797 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.709967 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.708152 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.709701 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.70914 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.704629 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05723 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0229 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991879 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965512 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.9378 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912598 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894811 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884253 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.867934 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853788 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838787 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.81951 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803027 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794181 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785586 [15] validation_0-merror:0.3 validation_0-mlogloss:0.777188 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770062 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.759725 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.749567 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.740048 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.734373 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.73092 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725901 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.723546 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71921 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.712972 [26] validation_0-merror:0.35 validation_0-mlogloss:0.710988 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.705686 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.704203 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.698925 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697329 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695369 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690747 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.685937 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.682171 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682314 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.680224 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678923 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678243 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676826 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.677639 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677884 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.677372 [43] validation_0-merror:0.3 validation_0-mlogloss:0.677358 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.679491 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676826 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0566 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02727 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.4 validation_0-mlogloss:0.976857 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.944949 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922753 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909114 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900245 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891627 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879745 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.867337 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.856608 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.842837 [13] validation_0-merror:0.35 validation_0-mlogloss:0.831343 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.82499 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.820659 [16] validation_0-merror:0.35 validation_0-mlogloss:0.812021 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.807928 [18] validation_0-merror:0.35 validation_0-mlogloss:0.801231 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.797247 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.795771 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.79281 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.789402 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.785153 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.782704 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.779286 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.78363 [27] validation_0-merror:0.35 validation_0-mlogloss:0.782538 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.781461 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.780593 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.782092 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.779286 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03019 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.979145 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955432 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929194 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.914602 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.90251 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.884431 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870324 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.852027 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.834231 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81491 [13] validation_0-merror:0.3 validation_0-mlogloss:0.803306 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795441 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.789449 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.776215 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765949 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.759408 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.7507 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.74776 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.745193 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.737527 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727266 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719282 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.714876 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.709855 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.707221 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.701393 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699812 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697686 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.698982 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.694026 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.692546 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.687979 [35] validation_0-merror:0.25 validation_0-mlogloss:0.685574 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.686261 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690007 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.687752 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.687839 [40] validation_0-merror:0.25 validation_0-mlogloss:0.68571 Stopping. Best iteration: [35] validation_0-merror:0.25 validation_0-mlogloss:0.685574 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02722 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997948 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970705 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961941 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938157 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.919112 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901305 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.883326 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86205 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848291 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834054 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821136 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807911 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798127 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796154 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783637 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771769 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76597 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761333 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751093 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743935 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.741005 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.735172 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724573 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724001 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716983 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.714229 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708035 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705058 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702413 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698347 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.697104 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.694986 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.694291 [35] validation_0-merror:0.35 validation_0-mlogloss:0.690187 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.690702 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69223 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695338 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693222 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.695818 Stopping. Best iteration: [35] validation_0-merror:0.35 validation_0-mlogloss:0.690187 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04047 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00608 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980449 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94697 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928768 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910607 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894068 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877111 [9] validation_0-merror:0.4 validation_0-mlogloss:0.861602 [10] validation_0-merror:0.4 validation_0-mlogloss:0.844272 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.832689 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.826288 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817768 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810948 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80296 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797743 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789014 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783108 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775549 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772456 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.767812 [22] validation_0-merror:0.4 validation_0-mlogloss:0.766276 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764023 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762885 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.760962 [26] validation_0-merror:0.4 validation_0-mlogloss:0.759961 [27] validation_0-merror:0.4 validation_0-mlogloss:0.756241 [28] validation_0-merror:0.4 validation_0-mlogloss:0.753616 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.75178 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.751751 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.748484 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74681 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746489 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74896 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.746411 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.743875 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.743283 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.743708 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.743628 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.741589 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.738639 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.738797 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.738545 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.740609 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.738396 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.738477 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.734911 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.73614 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.737092 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.733139 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.735015 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.734176 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.735091 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.742453 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.743954 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.733139 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928075 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912442 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898025 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879379 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.867853 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848636 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835262 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823755 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809986 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798561 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.7963 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790348 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785442 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778575 [19] validation_0-merror:0.3 validation_0-mlogloss:0.774695 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768924 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764165 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763678 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75725 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756774 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.754723 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750724 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743433 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742153 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737311 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.73359 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730705 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.730612 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.730038 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727965 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.726262 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.720826 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.721535 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718807 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716914 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.710795 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.708782 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.709878 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.705656 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.701329 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.694912 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695493 [47] validation_0-merror:0.3 validation_0-mlogloss:0.696264 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.694735 [49] validation_0-merror:0.3 validation_0-mlogloss:0.6952 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.691539 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.690032 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686249 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.687319 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.69195 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.690469 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690769 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.692188 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.686249 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01291 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986075 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957666 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951163 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924552 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906555 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887541 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.870264 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.850973 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836084 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822873 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808811 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799108 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790053 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78563 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776376 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764783 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759485 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754391 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745566 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740862 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.72866 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720918 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711945 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709259 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702884 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702999 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700311 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699165 [30] validation_0-merror:0.3 validation_0-mlogloss:0.696031 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690857 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687703 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684501 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683425 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678119 [36] validation_0-merror:0.3 validation_0-mlogloss:0.675835 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672577 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674549 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672518 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674634 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670596 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670838 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.670158 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.668301 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.665535 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665333 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664537 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662989 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.660111 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.660814 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.663073 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.662428 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.66321 [54] validation_0-merror:0.3 validation_0-mlogloss:0.664925 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.660111 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02888 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998047 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967664 [4] validation_0-merror:0.35 validation_0-mlogloss:0.93985 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922295 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.90694 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891517 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869827 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853677 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840981 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829354 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.823859 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812922 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.806965 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799016 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795451 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788776 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783508 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779616 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775685 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770242 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766693 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.763076 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764455 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761719 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.757293 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.753319 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.7513 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747894 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749485 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749875 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747836 [33] validation_0-merror:0.35 validation_0-mlogloss:0.748827 [34] validation_0-merror:0.35 validation_0-mlogloss:0.748645 [35] validation_0-merror:0.35 validation_0-mlogloss:0.748423 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.749199 [37] validation_0-merror:0.35 validation_0-mlogloss:0.751388 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747836 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03758 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00713 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979684 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.958748 [5] validation_0-merror:0.3 validation_0-mlogloss:0.935964 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.916192 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903202 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88656 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868668 [10] validation_0-merror:0.3 validation_0-mlogloss:0.855773 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843898 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831214 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.819749 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.809787 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803766 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79874 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790731 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784751 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775131 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772815 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769707 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763582 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7571 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757272 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750813 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749958 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.744222 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741212 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737079 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739318 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73245 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727988 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729662 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725519 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726566 [36] validation_0-merror:0.3 validation_0-mlogloss:0.722812 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722182 [38] validation_0-merror:0.3 validation_0-mlogloss:0.718385 [39] validation_0-merror:0.3 validation_0-mlogloss:0.719909 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714609 [41] validation_0-merror:0.3 validation_0-mlogloss:0.714011 [42] validation_0-merror:0.3 validation_0-mlogloss:0.714622 [43] validation_0-merror:0.3 validation_0-mlogloss:0.714552 [44] validation_0-merror:0.3 validation_0-mlogloss:0.715948 [45] validation_0-merror:0.3 validation_0-mlogloss:0.712888 [46] validation_0-merror:0.3 validation_0-mlogloss:0.708154 [47] validation_0-merror:0.3 validation_0-mlogloss:0.707626 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710459 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.715212 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.710101 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.711872 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.710169 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.707626 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02333 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992456 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966524 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938681 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913246 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894652 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882893 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865348 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851016 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836256 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.817723 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.79636 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.782708 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.774438 [15] validation_0-merror:0.3 validation_0-mlogloss:0.76491 [16] validation_0-merror:0.3 validation_0-mlogloss:0.757171 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.748105 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.740313 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.731044 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.725556 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.722466 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.716383 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.712564 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.707773 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.700022 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.69986 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.694489 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.693922 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.688658 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.68736 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.683395 [32] validation_0-merror:0.3 validation_0-mlogloss:0.679192 [33] validation_0-merror:0.3 validation_0-mlogloss:0.675414 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676445 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.676739 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.675881 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67253 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.671616 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.672835 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.67169 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.670725 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.669468 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.66925 [44] validation_0-merror:0.3 validation_0-mlogloss:0.673483 [45] validation_0-merror:0.3 validation_0-mlogloss:0.670544 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.669001 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.668781 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.668266 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.66735 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.665952 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.670524 [52] validation_0-merror:0.3 validation_0-mlogloss:0.670297 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668394 [54] validation_0-merror:0.3 validation_0-mlogloss:0.670771 [55] validation_0-merror:0.3 validation_0-mlogloss:0.671636 Stopping. Best iteration: [50] validation_0-merror:0.316667 validation_0-mlogloss:0.665952 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05944 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03035 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998894 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.981291 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950108 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.927489 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.91345 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.904166 [8] validation_0-merror:0.4 validation_0-mlogloss:0.893171 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.879296 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.866793 [11] validation_0-merror:0.4 validation_0-mlogloss:0.855413 [12] validation_0-merror:0.4 validation_0-mlogloss:0.842099 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829158 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.821364 [15] validation_0-merror:0.4 validation_0-mlogloss:0.818161 [16] validation_0-merror:0.4 validation_0-mlogloss:0.810211 [17] validation_0-merror:0.4 validation_0-mlogloss:0.805115 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.799044 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.795604 [20] validation_0-merror:0.4 validation_0-mlogloss:0.791688 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.789947 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.786016 [23] validation_0-merror:0.4 validation_0-mlogloss:0.782466 [24] validation_0-merror:0.4 validation_0-mlogloss:0.779974 [25] validation_0-merror:0.4 validation_0-mlogloss:0.77745 [26] validation_0-merror:0.4 validation_0-mlogloss:0.774379 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.773001 [28] validation_0-merror:0.4 validation_0-mlogloss:0.772018 [29] validation_0-merror:0.4 validation_0-mlogloss:0.770344 [30] validation_0-merror:0.4 validation_0-mlogloss:0.773042 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.774746 [32] validation_0-merror:0.4 validation_0-mlogloss:0.774309 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.774678 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.774955 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.770344 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03183 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00109 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981056 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956325 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.927262 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.910804 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899374 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.878783 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863574 [10] validation_0-merror:0.3 validation_0-mlogloss:0.845229 [11] validation_0-merror:0.3 validation_0-mlogloss:0.826328 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.806138 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794208 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785966 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778254 [16] validation_0-merror:0.3 validation_0-mlogloss:0.76507 [17] validation_0-merror:0.3 validation_0-mlogloss:0.753981 [18] validation_0-merror:0.3 validation_0-mlogloss:0.74716 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738749 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73379 [21] validation_0-merror:0.3 validation_0-mlogloss:0.730027 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723005 [23] validation_0-merror:0.3 validation_0-mlogloss:0.715669 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710893 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706272 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704424 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.699929 [28] validation_0-merror:0.3 validation_0-mlogloss:0.693892 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.692222 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69242 [31] validation_0-merror:0.3 validation_0-mlogloss:0.692608 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688736 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686858 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684644 [35] validation_0-merror:0.3 validation_0-mlogloss:0.684149 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686425 [37] validation_0-merror:0.3 validation_0-mlogloss:0.687017 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685912 [39] validation_0-merror:0.3 validation_0-mlogloss:0.682012 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679838 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679419 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677611 [43] validation_0-merror:0.3 validation_0-mlogloss:0.677777 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679303 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679823 [46] validation_0-merror:0.3 validation_0-mlogloss:0.679902 [47] validation_0-merror:0.3 validation_0-mlogloss:0.679196 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.677611 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05651 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02071 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.992216 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957775 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950468 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925186 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906782 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891649 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.877336 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855923 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845004 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831026 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.818219 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807719 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801755 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803824 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787482 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.777027 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768757 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760562 [20] validation_0-merror:0.35 validation_0-mlogloss:0.753758 [21] validation_0-merror:0.35 validation_0-mlogloss:0.744677 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734556 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725445 [24] validation_0-merror:0.35 validation_0-mlogloss:0.720377 [25] validation_0-merror:0.35 validation_0-mlogloss:0.718817 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.708661 [27] validation_0-merror:0.35 validation_0-mlogloss:0.705854 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.701446 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.69527 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.687628 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.684859 [32] validation_0-merror:0.3 validation_0-mlogloss:0.682153 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68046 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678469 [35] validation_0-merror:0.3 validation_0-mlogloss:0.675702 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673208 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.664181 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665973 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662412 [40] validation_0-merror:0.3 validation_0-mlogloss:0.664595 [41] validation_0-merror:0.3 validation_0-mlogloss:0.664724 [42] validation_0-merror:0.3 validation_0-mlogloss:0.662664 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663029 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660931 [45] validation_0-merror:0.3 validation_0-mlogloss:0.660857 [46] validation_0-merror:0.3 validation_0-mlogloss:0.659376 [47] validation_0-merror:0.3 validation_0-mlogloss:0.657125 [48] validation_0-merror:0.3 validation_0-mlogloss:0.658277 [49] validation_0-merror:0.3 validation_0-mlogloss:0.660031 [50] validation_0-merror:0.3 validation_0-mlogloss:0.658938 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661186 [52] validation_0-merror:0.3 validation_0-mlogloss:0.660588 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.657125 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05926 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0348 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995699 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970505 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934639 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91226 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873316 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853611 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836484 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821507 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81047 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807661 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798651 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793323 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779562 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774293 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77295 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.77137 [19] validation_0-merror:0.35 validation_0-mlogloss:0.76572 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762814 [21] validation_0-merror:0.3 validation_0-mlogloss:0.754319 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754406 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749216 [24] validation_0-merror:0.3 validation_0-mlogloss:0.74756 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748012 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.743925 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.74063 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736188 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737631 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737911 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738756 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739304 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.740247 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736188 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06016 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03244 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.993019 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969097 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936974 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912577 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900582 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887473 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872327 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860782 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846954 [11] validation_0-merror:0.35 validation_0-mlogloss:0.836538 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823935 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813354 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797039 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789293 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779941 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774222 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765551 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759801 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759716 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.757871 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754676 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744323 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.742946 [25] validation_0-merror:0.35 validation_0-mlogloss:0.742409 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733991 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.732073 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728807 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726151 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724983 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.729042 [32] validation_0-merror:0.3 validation_0-mlogloss:0.730905 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73569 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.737262 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.740562 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.724983 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05217 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01092 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978245 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950977 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.947549 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917332 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895488 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881383 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863655 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.846302 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829584 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819147 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.806717 [13] validation_0-merror:0.3 validation_0-mlogloss:0.792179 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782722 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.778199 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769532 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.761895 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.757153 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750868 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.742361 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736426 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72431 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.718282 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710953 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711416 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.704227 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705653 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.703016 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70028 [30] validation_0-merror:0.3 validation_0-mlogloss:0.696323 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690495 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686327 [33] validation_0-merror:0.25 validation_0-mlogloss:0.68384 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.682515 [35] validation_0-merror:0.25 validation_0-mlogloss:0.679537 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.679861 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.683338 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.685979 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683968 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684215 Stopping. Best iteration: [35] validation_0-merror:0.25 validation_0-mlogloss:0.679537 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06215 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0312 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998146 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969468 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941398 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922226 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899755 [7] validation_0-merror:0.3 validation_0-mlogloss:0.882734 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858018 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.8458 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83499 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829051 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819544 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810573 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804646 [15] validation_0-merror:0.35 validation_0-mlogloss:0.796254 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794627 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79222 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787265 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785604 [20] validation_0-merror:0.35 validation_0-mlogloss:0.782403 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781193 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775633 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772169 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773703 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.773198 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.77085 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.772462 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.772152 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.769171 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.769092 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.771362 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770732 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.764808 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.765551 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.767137 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.769329 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.773521 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.772056 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.764808 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06391 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03074 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99971 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.97955 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953723 [5] validation_0-merror:0.35 validation_0-mlogloss:0.941087 [6] validation_0-merror:0.35 validation_0-mlogloss:0.931134 [7] validation_0-merror:0.35 validation_0-mlogloss:0.922301 [8] validation_0-merror:0.35 validation_0-mlogloss:0.904539 [9] validation_0-merror:0.35 validation_0-mlogloss:0.892693 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.877532 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.863618 [12] validation_0-merror:0.35 validation_0-mlogloss:0.851086 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.84154 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.827087 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824325 [16] validation_0-merror:0.3 validation_0-mlogloss:0.823752 [17] validation_0-merror:0.3 validation_0-mlogloss:0.816441 [18] validation_0-merror:0.3 validation_0-mlogloss:0.805636 [19] validation_0-merror:0.3 validation_0-mlogloss:0.799777 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.801976 [21] validation_0-merror:0.3 validation_0-mlogloss:0.799411 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.798838 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.79294 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.788355 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.786618 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.782416 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.781239 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.776638 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.77395 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.773049 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.773352 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.769736 [33] validation_0-merror:0.3 validation_0-mlogloss:0.769041 [34] validation_0-merror:0.3 validation_0-mlogloss:0.767345 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.768432 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.771519 [37] validation_0-merror:0.35 validation_0-mlogloss:0.770671 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.769212 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.768353 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.767345 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05236 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02008 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989389 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961264 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.925691 [5] validation_0-merror:0.3 validation_0-mlogloss:0.901569 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885989 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875407 [8] validation_0-merror:0.3 validation_0-mlogloss:0.858291 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844884 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834085 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82119 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798752 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.779738 [14] validation_0-merror:0.25 validation_0-mlogloss:0.770669 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.761608 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.752386 [17] validation_0-merror:0.25 validation_0-mlogloss:0.744738 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.73452 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.726168 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.72072 [21] validation_0-merror:0.25 validation_0-mlogloss:0.716503 [22] validation_0-merror:0.25 validation_0-mlogloss:0.7121 [23] validation_0-merror:0.25 validation_0-mlogloss:0.705715 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.701609 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.695084 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.69186 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.68795 [28] validation_0-merror:0.25 validation_0-mlogloss:0.686942 [29] validation_0-merror:0.25 validation_0-mlogloss:0.683016 [30] validation_0-merror:0.25 validation_0-mlogloss:0.679984 [31] validation_0-merror:0.25 validation_0-mlogloss:0.676226 [32] validation_0-merror:0.25 validation_0-mlogloss:0.674972 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.674129 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.669941 [35] validation_0-merror:0.25 validation_0-mlogloss:0.670964 [36] validation_0-merror:0.25 validation_0-mlogloss:0.668495 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.666961 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.66523 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.664223 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.665635 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.664082 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.661746 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.660805 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.659705 [45] validation_0-merror:0.25 validation_0-mlogloss:0.659385 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660952 [47] validation_0-merror:0.25 validation_0-mlogloss:0.66059 [48] validation_0-merror:0.25 validation_0-mlogloss:0.663243 [49] validation_0-merror:0.25 validation_0-mlogloss:0.662117 [50] validation_0-merror:0.25 validation_0-mlogloss:0.661896 Stopping. Best iteration: [45] validation_0-merror:0.25 validation_0-mlogloss:0.659385 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03169 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.984494 [4] validation_0-merror:0.4 validation_0-mlogloss:0.961387 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938144 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.926952 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.921094 [8] validation_0-merror:0.35 validation_0-mlogloss:0.906918 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.892968 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880068 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.863925 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.848372 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.836208 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.828833 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.826452 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.817398 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.813114 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.812081 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.804052 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.806282 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.803141 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.80313 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.799362 [24] validation_0-merror:0.35 validation_0-mlogloss:0.799265 [25] validation_0-merror:0.35 validation_0-mlogloss:0.799887 [26] validation_0-merror:0.35 validation_0-mlogloss:0.802629 [27] validation_0-merror:0.35 validation_0-mlogloss:0.805015 [28] validation_0-merror:0.35 validation_0-mlogloss:0.806906 [29] validation_0-merror:0.35 validation_0-mlogloss:0.806657 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.799265 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05917 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03157 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996893 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975359 [4] validation_0-merror:0.4 validation_0-mlogloss:0.955212 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.929405 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.905911 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897188 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.877688 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858933 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844744 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836066 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817695 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808152 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802334 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797276 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.786746 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778772 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77709 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76951 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762777 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765349 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762328 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759396 [24] validation_0-merror:0.35 validation_0-mlogloss:0.752602 [25] validation_0-merror:0.35 validation_0-mlogloss:0.750134 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752701 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751138 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745824 [29] validation_0-merror:0.35 validation_0-mlogloss:0.748282 [30] validation_0-merror:0.35 validation_0-mlogloss:0.751722 [31] validation_0-merror:0.35 validation_0-mlogloss:0.757565 [32] validation_0-merror:0.35 validation_0-mlogloss:0.758386 [33] validation_0-merror:0.35 validation_0-mlogloss:0.76012 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.745824 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02177 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994827 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.967115 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.9583 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.936761 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918779 [7] validation_0-merror:0.4 validation_0-mlogloss:0.900128 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882655 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.865107 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854995 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843574 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.833992 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82488 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817571 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818432 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.807879 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.796659 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.79097 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783217 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774487 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766915 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757931 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751885 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.743002 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74029 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.731529 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729925 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721165 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.716339 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707433 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701042 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.699545 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.695548 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694777 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691076 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.689141 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.685081 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685467 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685584 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686758 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685126 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.681459 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.681555 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.678197 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676578 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678845 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.675233 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.673055 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.675984 [50] validation_0-merror:0.3 validation_0-mlogloss:0.672753 [51] validation_0-merror:0.3 validation_0-mlogloss:0.674073 [52] validation_0-merror:0.3 validation_0-mlogloss:0.67494 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.674736 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.673444 [55] validation_0-merror:0.3 validation_0-mlogloss:0.672286 [56] validation_0-merror:0.3 validation_0-mlogloss:0.671476 [57] validation_0-merror:0.3 validation_0-mlogloss:0.669195 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.671221 [59] validation_0-merror:0.3 validation_0-mlogloss:0.676648 [60] validation_0-merror:0.3 validation_0-mlogloss:0.675893 [61] validation_0-merror:0.3 validation_0-mlogloss:0.676688 [62] validation_0-merror:0.3 validation_0-mlogloss:0.676148 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.669195 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03881 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00193 [3] validation_0-merror:0.35 validation_0-mlogloss:0.978804 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94422 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922284 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900749 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884881 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.865678 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850267 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.833026 [11] validation_0-merror:0.35 validation_0-mlogloss:0.818822 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.813264 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.806195 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797694 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.784022 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.77631 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.774251 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.773552 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.767298 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.765057 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.761652 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.759865 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.758718 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.756794 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.754541 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753347 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75191 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752234 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747833 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750254 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750939 [32] validation_0-merror:0.35 validation_0-mlogloss:0.751494 [33] validation_0-merror:0.35 validation_0-mlogloss:0.752259 [34] validation_0-merror:0.35 validation_0-mlogloss:0.755912 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.747833 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0598 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03232 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.994629 [3] validation_0-merror:0.3 validation_0-mlogloss:0.977949 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.946766 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924229 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90589 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893542 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878989 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868804 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851265 [11] validation_0-merror:0.3 validation_0-mlogloss:0.844689 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830387 [13] validation_0-merror:0.3 validation_0-mlogloss:0.814783 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798778 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797614 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788343 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.781729 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773837 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767397 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.764343 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759749 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756274 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.74802 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74733 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744917 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73927 [27] validation_0-merror:0.3 validation_0-mlogloss:0.732859 [28] validation_0-merror:0.3 validation_0-mlogloss:0.727385 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72407 [30] validation_0-merror:0.3 validation_0-mlogloss:0.723539 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72538 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727209 [33] validation_0-merror:0.3 validation_0-mlogloss:0.728995 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.729964 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736746 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.723539 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01048 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976491 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947668 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94507 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915428 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894178 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876514 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.857032 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838731 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821786 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809087 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796491 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.782263 [14] validation_0-merror:0.3 validation_0-mlogloss:0.774933 [15] validation_0-merror:0.3 validation_0-mlogloss:0.770316 [16] validation_0-merror:0.3 validation_0-mlogloss:0.761007 [17] validation_0-merror:0.3 validation_0-mlogloss:0.748767 [18] validation_0-merror:0.3 validation_0-mlogloss:0.742441 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738481 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.728529 [21] validation_0-merror:0.3 validation_0-mlogloss:0.722496 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.714363 [23] validation_0-merror:0.3 validation_0-mlogloss:0.708441 [24] validation_0-merror:0.3 validation_0-mlogloss:0.702012 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.700643 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.693235 [27] validation_0-merror:0.3 validation_0-mlogloss:0.694183 [28] validation_0-merror:0.3 validation_0-mlogloss:0.689453 [29] validation_0-merror:0.3 validation_0-mlogloss:0.688668 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.684214 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.678453 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.675614 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.672212 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.669378 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.667022 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.669048 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.667801 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.670582 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670112 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671392 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.667022 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06304 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02974 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998647 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968073 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934903 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914562 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895026 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882586 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.860685 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848482 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836707 [11] validation_0-merror:0.35 validation_0-mlogloss:0.828109 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820352 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811193 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80577 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.79518 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.795469 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792224 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788061 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.787989 [20] validation_0-merror:0.35 validation_0-mlogloss:0.786872 [21] validation_0-merror:0.35 validation_0-mlogloss:0.784858 [22] validation_0-merror:0.35 validation_0-mlogloss:0.780182 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.774946 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.775554 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.772632 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.767883 [27] validation_0-merror:0.35 validation_0-mlogloss:0.766065 [28] validation_0-merror:0.35 validation_0-mlogloss:0.770298 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766597 [30] validation_0-merror:0.35 validation_0-mlogloss:0.768179 [31] validation_0-merror:0.35 validation_0-mlogloss:0.77194 [32] validation_0-merror:0.35 validation_0-mlogloss:0.773053 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.766065 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06175 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03352 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0021 [3] validation_0-merror:0.35 validation_0-mlogloss:0.97937 [4] validation_0-merror:0.3 validation_0-mlogloss:0.949423 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932323 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914127 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897903 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.87885 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866528 [10] validation_0-merror:0.35 validation_0-mlogloss:0.854834 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841396 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826285 [13] validation_0-merror:0.3 validation_0-mlogloss:0.815805 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800789 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.796024 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791816 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.784842 [18] validation_0-merror:0.3 validation_0-mlogloss:0.778243 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.770104 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.770944 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.770587 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.765723 [23] validation_0-merror:0.3 validation_0-mlogloss:0.759572 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.754465 [25] validation_0-merror:0.3 validation_0-mlogloss:0.752026 [26] validation_0-merror:0.3 validation_0-mlogloss:0.747827 [27] validation_0-merror:0.3 validation_0-mlogloss:0.745571 [28] validation_0-merror:0.3 validation_0-mlogloss:0.741207 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.737182 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.739418 [31] validation_0-merror:0.3 validation_0-mlogloss:0.740657 [32] validation_0-merror:0.3 validation_0-mlogloss:0.736405 [33] validation_0-merror:0.3 validation_0-mlogloss:0.74262 [34] validation_0-merror:0.3 validation_0-mlogloss:0.740959 [35] validation_0-merror:0.3 validation_0-mlogloss:0.742678 [36] validation_0-merror:0.3 validation_0-mlogloss:0.740906 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.737695 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.736405 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05441 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02269 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989159 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963795 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932488 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.908004 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891875 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880542 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862899 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851434 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.841691 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829207 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807343 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792122 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783994 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777278 [16] validation_0-merror:0.35 validation_0-mlogloss:0.766186 [17] validation_0-merror:0.35 validation_0-mlogloss:0.757744 [18] validation_0-merror:0.35 validation_0-mlogloss:0.750342 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743105 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73742 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732187 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725444 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.721245 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.715376 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.709828 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7076 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.703268 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701969 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.69853 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.691734 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.693056 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.691278 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.68746 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685107 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.686667 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.688377 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.687379 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.68544 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.686075 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685107 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03029 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99833 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980238 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956877 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.935691 [6] validation_0-merror:0.35 validation_0-mlogloss:0.920885 [7] validation_0-merror:0.35 validation_0-mlogloss:0.911256 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.900605 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.891619 [10] validation_0-merror:0.35 validation_0-mlogloss:0.87985 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.862665 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847866 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.835332 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.827113 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.819432 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.810422 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802648 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.795589 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.79004 [20] validation_0-merror:0.35 validation_0-mlogloss:0.788207 [21] validation_0-merror:0.35 validation_0-mlogloss:0.785274 [22] validation_0-merror:0.35 validation_0-mlogloss:0.782875 [23] validation_0-merror:0.35 validation_0-mlogloss:0.77992 [24] validation_0-merror:0.35 validation_0-mlogloss:0.779682 [25] validation_0-merror:0.35 validation_0-mlogloss:0.777065 [26] validation_0-merror:0.35 validation_0-mlogloss:0.778826 [27] validation_0-merror:0.35 validation_0-mlogloss:0.777948 [28] validation_0-merror:0.35 validation_0-mlogloss:0.773612 [29] validation_0-merror:0.35 validation_0-mlogloss:0.774656 [30] validation_0-merror:0.35 validation_0-mlogloss:0.776673 [31] validation_0-merror:0.35 validation_0-mlogloss:0.775843 [32] validation_0-merror:0.35 validation_0-mlogloss:0.77642 [33] validation_0-merror:0.35 validation_0-mlogloss:0.777748 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.773612 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03271 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999299 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.978871 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955492 [5] validation_0-merror:0.35 validation_0-mlogloss:0.931184 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916039 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903079 [8] validation_0-merror:0.35 validation_0-mlogloss:0.884371 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868511 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855083 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838351 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819318 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.805318 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799127 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788893 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78287 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77897 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77028 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764316 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758914 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759562 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754429 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747446 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740194 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734863 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732328 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728768 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724345 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722562 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721206 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722782 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.720939 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719551 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.716567 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.716035 [36] validation_0-merror:0.3 validation_0-mlogloss:0.721337 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722504 [38] validation_0-merror:0.3 validation_0-mlogloss:0.71856 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717996 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71745 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.716035 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02883 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.998949 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973125 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963525 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940033 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922705 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905789 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889759 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873089 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862343 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.850246 [12] validation_0-merror:0.35 validation_0-mlogloss:0.83824 [13] validation_0-merror:0.4 validation_0-mlogloss:0.829613 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821952 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819905 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807868 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795566 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790391 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.784029 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.775045 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76735 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760274 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752959 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744322 [25] validation_0-merror:0.35 validation_0-mlogloss:0.742972 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733644 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724887 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718968 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714173 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709735 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703275 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.702771 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697173 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.69631 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.693775 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.694034 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692035 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.693588 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.690252 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692112 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.69229 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.690108 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.687241 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.68821 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687703 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.688714 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.68682 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.683681 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.687164 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.683855 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.687305 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.688789 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.689722 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.683681 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997853 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976479 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943022 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922599 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906097 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891193 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871964 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854741 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837654 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828813 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824874 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815406 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810119 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.799043 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791745 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787402 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783232 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778704 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772901 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768631 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767783 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767931 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.770282 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.77018 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76747 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762155 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.761708 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759302 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.760494 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.760248 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.754231 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750816 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.754409 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.757458 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.752641 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.75677 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.756404 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750816 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03756 [2] validation_0-merror:0.25 validation_0-mlogloss:1.00065 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.978416 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952568 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.926853 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90648 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.893924 [8] validation_0-merror:0.35 validation_0-mlogloss:0.880367 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.868668 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849841 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.840843 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827911 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813461 [14] validation_0-merror:0.3 validation_0-mlogloss:0.80064 [15] validation_0-merror:0.3 validation_0-mlogloss:0.798187 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789988 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785103 [18] validation_0-merror:0.3 validation_0-mlogloss:0.777815 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769755 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765195 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7582 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754124 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746359 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743505 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738993 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733723 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729271 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728857 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724384 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719726 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716107 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71439 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.714825 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.712195 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.712394 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708961 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.708744 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.705884 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703951 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.697862 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.694695 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.696317 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.692888 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.692943 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692675 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.691403 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.691295 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.694339 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696065 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.693417 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.692822 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.688769 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.688003 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.69078 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.689291 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689674 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.687429 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.686557 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.689748 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.692307 [61] validation_0-merror:0.3 validation_0-mlogloss:0.693321 [62] validation_0-merror:0.3 validation_0-mlogloss:0.697552 [63] validation_0-merror:0.3 validation_0-mlogloss:0.696725 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.686557 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05177 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01242 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984308 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95774 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.952146 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.919883 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899 [7] validation_0-merror:0.35 validation_0-mlogloss:0.881341 [8] validation_0-merror:0.35 validation_0-mlogloss:0.861651 [9] validation_0-merror:0.35 validation_0-mlogloss:0.844323 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.831745 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.818009 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804487 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789683 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781286 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777468 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.765621 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.755027 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749843 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.745926 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.735034 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.730198 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722121 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716492 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708848 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706745 [26] validation_0-merror:0.3 validation_0-mlogloss:0.700852 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700919 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.695419 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.6926 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.6897 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.682394 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.678464 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.67765 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.675168 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.670863 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.671008 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.666055 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.668235 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.665281 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.664827 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.661779 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.6581 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.655348 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.652896 [45] validation_0-merror:0.3 validation_0-mlogloss:0.650707 [46] validation_0-merror:0.3 validation_0-mlogloss:0.649554 [47] validation_0-merror:0.3 validation_0-mlogloss:0.649462 [48] validation_0-merror:0.3 validation_0-mlogloss:0.648724 [49] validation_0-merror:0.3 validation_0-mlogloss:0.650554 [50] validation_0-merror:0.3 validation_0-mlogloss:0.651866 [51] validation_0-merror:0.3 validation_0-mlogloss:0.653578 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653001 [53] validation_0-merror:0.3 validation_0-mlogloss:0.657122 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.648724 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0633 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03482 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00185 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968189 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93654 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914361 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897808 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884317 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859847 [9] validation_0-merror:0.35 validation_0-mlogloss:0.845624 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833663 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824021 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816214 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806432 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804173 [15] validation_0-merror:0.35 validation_0-mlogloss:0.796223 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.793869 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.789 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785011 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.784585 [20] validation_0-merror:0.35 validation_0-mlogloss:0.780109 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777711 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771554 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765908 [24] validation_0-merror:0.35 validation_0-mlogloss:0.766672 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.766389 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.763502 [27] validation_0-merror:0.35 validation_0-mlogloss:0.762253 [28] validation_0-merror:0.35 validation_0-mlogloss:0.761549 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.759961 [30] validation_0-merror:0.35 validation_0-mlogloss:0.762676 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765937 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767402 [33] validation_0-merror:0.35 validation_0-mlogloss:0.764994 [34] validation_0-merror:0.35 validation_0-mlogloss:0.766873 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.759961 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03521 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00513 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976049 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943728 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.920807 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.899771 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.885038 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870776 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857215 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.841255 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.829279 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816161 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.804154 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790519 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.787776 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.781836 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.77592 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.769266 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.762754 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.761946 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759012 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753339 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.747717 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.744598 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742526 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.74061 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.737511 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734122 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.727322 [30] validation_0-merror:0.3 validation_0-mlogloss:0.731382 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.729286 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.725286 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.728944 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.727579 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.729954 [36] validation_0-merror:0.3 validation_0-mlogloss:0.729388 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.728921 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.725286 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02263 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992971 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967206 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938372 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914233 [6] validation_0-merror:0.3 validation_0-mlogloss:0.896038 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887484 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867519 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856303 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844158 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.826788 [12] validation_0-merror:0.3 validation_0-mlogloss:0.80951 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798579 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788383 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777169 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766193 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757681 [18] validation_0-merror:0.3 validation_0-mlogloss:0.747999 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.740489 [20] validation_0-merror:0.3 validation_0-mlogloss:0.732742 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.728619 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.723523 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.716107 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.711327 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.706387 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.700827 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.696538 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69435 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689096 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685114 [31] validation_0-merror:0.3 validation_0-mlogloss:0.683917 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683636 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.681905 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.681136 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.67921 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.674908 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672182 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.66944 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.669708 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67063 [41] validation_0-merror:0.3 validation_0-mlogloss:0.668497 [42] validation_0-merror:0.3 validation_0-mlogloss:0.668111 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668826 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672164 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673082 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675402 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.675923 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.668111 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05932 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0322 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999209 [3] validation_0-merror:0.4 validation_0-mlogloss:0.98164 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957161 [5] validation_0-merror:0.4 validation_0-mlogloss:0.935583 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.919689 [7] validation_0-merror:0.35 validation_0-mlogloss:0.91094 [8] validation_0-merror:0.35 validation_0-mlogloss:0.899626 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.887816 [10] validation_0-merror:0.35 validation_0-mlogloss:0.878357 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8627 [12] validation_0-merror:0.35 validation_0-mlogloss:0.847875 [13] validation_0-merror:0.35 validation_0-mlogloss:0.837924 [14] validation_0-merror:0.35 validation_0-mlogloss:0.831795 [15] validation_0-merror:0.35 validation_0-mlogloss:0.820815 [16] validation_0-merror:0.35 validation_0-mlogloss:0.812984 [17] validation_0-merror:0.35 validation_0-mlogloss:0.810497 [18] validation_0-merror:0.35 validation_0-mlogloss:0.804372 [19] validation_0-merror:0.35 validation_0-mlogloss:0.799601 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.794001 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.789963 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.785062 [23] validation_0-merror:0.35 validation_0-mlogloss:0.780883 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.778905 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.777057 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.776711 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.778443 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.777503 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.777902 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.781343 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.781825 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.776711 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03443 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00106 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981474 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.958474 [5] validation_0-merror:0.35 validation_0-mlogloss:0.935459 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.921147 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905983 [8] validation_0-merror:0.3 validation_0-mlogloss:0.885935 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868829 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.851982 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836749 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816496 [13] validation_0-merror:0.3 validation_0-mlogloss:0.804051 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796032 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784449 [16] validation_0-merror:0.3 validation_0-mlogloss:0.772612 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766031 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761326 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753864 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750628 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750033 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74284 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.735285 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728317 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.725114 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722776 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.718382 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.712695 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707771 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706844 [31] validation_0-merror:0.3 validation_0-mlogloss:0.709126 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70504 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703687 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700561 [35] validation_0-merror:0.3 validation_0-mlogloss:0.697897 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701701 [37] validation_0-merror:0.3 validation_0-mlogloss:0.705047 [38] validation_0-merror:0.3 validation_0-mlogloss:0.701869 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701027 [40] validation_0-merror:0.3 validation_0-mlogloss:0.699336 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.697897 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.97198 [4] validation_0-merror:0.35 validation_0-mlogloss:0.963255 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936808 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916906 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901681 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884895 [9] validation_0-merror:0.4 validation_0-mlogloss:0.868043 [10] validation_0-merror:0.4 validation_0-mlogloss:0.855961 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841163 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.828361 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813505 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807719 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.805514 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794623 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782339 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777493 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771185 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761597 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753661 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746223 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742659 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731972 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734208 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727665 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724355 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719395 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716264 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712104 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.708834 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.707597 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704052 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703888 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701849 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703333 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699876 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700574 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699169 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702338 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.702969 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.699607 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.697454 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696819 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694184 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694953 [47] validation_0-merror:0.3 validation_0-mlogloss:0.691499 [48] validation_0-merror:0.3 validation_0-mlogloss:0.69112 [49] validation_0-merror:0.3 validation_0-mlogloss:0.693882 [50] validation_0-merror:0.3 validation_0-mlogloss:0.692762 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.69516 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.696303 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.697906 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.69112 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0433 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00694 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982505 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950282 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930232 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912027 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.893356 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.875739 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859979 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843003 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834284 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829826 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.820621 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.814578 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807446 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801178 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794287 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786938 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780647 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775567 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770251 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768868 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766317 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765815 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763526 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761959 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759894 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756707 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.753818 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.756414 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753003 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.750799 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.749633 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752733 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.754987 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.750059 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.75529 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.754775 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.749633 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911779 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898839 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883967 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.871379 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850158 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837276 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824341 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810359 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798667 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797044 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.790819 [17] validation_0-merror:0.3 validation_0-mlogloss:0.784277 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770785 [19] validation_0-merror:0.3 validation_0-mlogloss:0.766859 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760215 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.751431 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747926 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.7381 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73736 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733535 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729559 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.723926 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72314 [29] validation_0-merror:0.3 validation_0-mlogloss:0.71844 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714253 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708137 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70799 [33] validation_0-merror:0.3 validation_0-mlogloss:0.709011 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707276 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706355 [36] validation_0-merror:0.3 validation_0-mlogloss:0.700127 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701094 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.699127 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695226 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.689442 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687469 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.688799 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.68435 [44] validation_0-merror:0.3 validation_0-mlogloss:0.682504 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679253 [46] validation_0-merror:0.3 validation_0-mlogloss:0.680733 [47] validation_0-merror:0.3 validation_0-mlogloss:0.681554 [48] validation_0-merror:0.3 validation_0-mlogloss:0.684459 [49] validation_0-merror:0.3 validation_0-mlogloss:0.685089 [50] validation_0-merror:0.3 validation_0-mlogloss:0.684996 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.679253 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01295 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988025 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957233 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94965 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918303 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896728 [7] validation_0-merror:0.35 validation_0-mlogloss:0.879474 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863855 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844755 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831029 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817524 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805428 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796241 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787866 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785844 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772444 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761383 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754833 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749236 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.739772 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736891 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725713 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.72065 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.711995 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710235 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703104 [27] validation_0-merror:0.3 validation_0-mlogloss:0.701987 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699213 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69569 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693228 [31] validation_0-merror:0.3 validation_0-mlogloss:0.687002 [32] validation_0-merror:0.3 validation_0-mlogloss:0.681821 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679047 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.676591 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671338 [36] validation_0-merror:0.3 validation_0-mlogloss:0.670233 [37] validation_0-merror:0.3 validation_0-mlogloss:0.670372 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672001 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670596 [40] validation_0-merror:0.3 validation_0-mlogloss:0.672671 [41] validation_0-merror:0.3 validation_0-mlogloss:0.669956 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670628 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669155 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.667375 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.665467 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.664889 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.662342 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660796 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.661856 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.662459 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.66317 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659958 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.661983 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.6626 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.666497 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.66703 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.667496 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659958 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02836 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998322 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965495 [4] validation_0-merror:0.35 validation_0-mlogloss:0.933589 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914533 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899425 [7] validation_0-merror:0.35 validation_0-mlogloss:0.88315 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858277 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843827 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834865 [11] validation_0-merror:0.35 validation_0-mlogloss:0.825773 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819312 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.810534 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.805736 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794657 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791225 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785293 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78413 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782354 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77738 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774266 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768792 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766051 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76668 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765716 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761013 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758976 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.7568 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756232 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755765 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757264 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.755776 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.756161 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.757466 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.757503 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755765 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03587 [2] validation_0-merror:0.3 validation_0-mlogloss:1.0028 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974672 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.945733 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.922153 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.901366 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.886222 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868144 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.853888 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.83925 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.829683 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815269 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803176 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.795313 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.792514 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.788104 [17] validation_0-merror:0.25 validation_0-mlogloss:0.782168 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.775101 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.766602 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.763768 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.760858 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.753236 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.746308 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.741679 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.737214 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.735241 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.730278 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.728179 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.724412 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.725508 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.719347 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.714446 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.7207 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.716649 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.7189 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.717369 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.717063 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.714446 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05701 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992874 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968517 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.93915 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913996 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.895567 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884729 [8] validation_0-merror:0.35 validation_0-mlogloss:0.864029 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851389 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837008 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82138 [12] validation_0-merror:0.3 validation_0-mlogloss:0.802415 [13] validation_0-merror:0.3 validation_0-mlogloss:0.788839 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779688 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771323 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.764583 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75507 [18] validation_0-merror:0.3 validation_0-mlogloss:0.745148 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.737635 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731749 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728151 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.723453 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.719022 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719427 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714844 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70868 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.706982 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705597 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701799 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701418 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695069 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692742 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690895 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.689891 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.689538 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.689736 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69048 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.690697 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690442 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.692563 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.689538 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05951 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03143 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00236 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.982724 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952863 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.932449 [6] validation_0-merror:0.4 validation_0-mlogloss:0.917917 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.912434 [8] validation_0-merror:0.35 validation_0-mlogloss:0.901447 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.889413 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.877697 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.867225 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.853538 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.841599 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.833886 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82383 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.815915 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.812726 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.809548 [19] validation_0-merror:0.4 validation_0-mlogloss:0.806247 [20] validation_0-merror:0.4 validation_0-mlogloss:0.804575 [21] validation_0-merror:0.4 validation_0-mlogloss:0.801991 [22] validation_0-merror:0.4 validation_0-mlogloss:0.798178 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.795213 [24] validation_0-merror:0.4 validation_0-mlogloss:0.79374 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.79294 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.794761 [27] validation_0-merror:0.4 validation_0-mlogloss:0.794608 [28] validation_0-merror:0.4 validation_0-mlogloss:0.794246 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.792916 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.794819 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.793703 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.793407 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.795801 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.795176 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.792916 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02894 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996977 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976566 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953924 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927284 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.911672 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898574 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880263 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865802 [10] validation_0-merror:0.3 validation_0-mlogloss:0.847683 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.830406 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.816605 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805445 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800048 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.790307 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775443 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.766363 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.761658 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.753642 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.750227 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.74946 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.742576 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.730914 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724819 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724059 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723911 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.718178 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.710801 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.704855 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.70369 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.70402 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.700153 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.698795 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.697829 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.69637 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.695768 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.698595 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697416 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697321 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.694438 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.695171 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.693498 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694579 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.693422 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693622 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695431 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.6935 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.692936 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.692817 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.697174 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.700212 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.699968 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.699581 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.69951 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.692817 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02722 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997948 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970705 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961941 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.9397 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920732 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903054 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885064 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863768 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.835202 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.822291 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808938 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799208 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797243 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784825 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773068 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769364 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76459 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754404 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747132 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744144 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738359 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.727927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728342 [26] validation_0-merror:0.3 validation_0-mlogloss:0.721475 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.717495 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711337 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.710363 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703428 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699035 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.701279 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698429 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.697892 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69385 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694352 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.696479 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.699712 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.698955 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.701705 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69385 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04047 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00608 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981779 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9492 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93103 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912571 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896369 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879496 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.864411 [10] validation_0-merror:0.4 validation_0-mlogloss:0.847031 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.83707 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.830685 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.818983 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811782 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805294 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800029 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.79147 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787205 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780583 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77761 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.772928 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771521 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769392 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768246 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766647 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.765611 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.763801 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761679 [29] validation_0-merror:0.4 validation_0-mlogloss:0.759776 [30] validation_0-merror:0.4 validation_0-mlogloss:0.759461 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.757092 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75557 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.75528 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.757867 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.755336 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.752903 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.752678 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.752897 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.75517 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.752922 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.749843 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.750001 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.748588 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.750664 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.749048 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.74998 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.74632 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.747384 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747976 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.743656 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.745552 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.74346 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.744336 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.751771 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.751725 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.750845 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.749291 Stopping. Best iteration: [52] validation_0-merror:0.383333 validation_0-mlogloss:0.74346 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928635 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912104 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897746 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.866507 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.847307 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835332 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823825 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809366 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797946 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796621 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790818 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785912 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779308 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.775553 [20] validation_0-merror:0.3 validation_0-mlogloss:0.769615 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764531 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764137 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758322 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.757782 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.755616 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751571 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744242 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.742327 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738251 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734558 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731653 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73157 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.730992 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728974 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.727281 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.7219 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.722564 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719756 [39] validation_0-merror:0.35 validation_0-mlogloss:0.717856 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.711818 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.710075 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.711109 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.706325 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702052 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696144 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697531 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.69827 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.69665 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697052 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.693268 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.691702 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.68787 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.688851 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.694256 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.692705 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.693064 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.692004 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.68787 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01395 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985301 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957111 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948227 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92046 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904348 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885477 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868843 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.848113 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83472 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822391 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808854 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799276 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791457 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787348 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776496 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764623 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759378 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753922 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74619 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742924 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731119 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.723651 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715489 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712018 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706632 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.70642 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703571 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702152 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.699429 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696043 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691948 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690221 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.689801 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.683827 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.681665 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678507 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.680688 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675852 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.67751 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.674783 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.6748 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673668 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672472 [45] validation_0-merror:0.3 validation_0-mlogloss:0.669512 [46] validation_0-merror:0.3 validation_0-mlogloss:0.668267 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.666726 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.664826 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.664305 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664888 [51] validation_0-merror:0.3 validation_0-mlogloss:0.666031 [52] validation_0-merror:0.3 validation_0-mlogloss:0.665366 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668094 [54] validation_0-merror:0.3 validation_0-mlogloss:0.670135 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.664305 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02743 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997719 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96766 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.938281 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919895 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904793 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889465 [8] validation_0-merror:0.4 validation_0-mlogloss:0.867887 [9] validation_0-merror:0.4 validation_0-mlogloss:0.85311 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840561 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.829136 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822779 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813863 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809174 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801009 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797411 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792443 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787186 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.78137 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776054 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.772383 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769235 [24] validation_0-merror:0.4 validation_0-mlogloss:0.769253 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766554 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763314 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75946 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756018 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752785 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753422 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754006 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.753142 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.753916 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752893 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.752785 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03758 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00792 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.980427 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.959445 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936573 [6] validation_0-merror:0.3 validation_0-mlogloss:0.917104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.904062 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.887424 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869496 [10] validation_0-merror:0.3 validation_0-mlogloss:0.856532 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.844657 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830726 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819126 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810698 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801699 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794237 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.788857 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77987 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777168 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775522 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.769624 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.764332 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764682 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.757921 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758072 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.751985 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748964 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744584 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746986 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.74028 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735328 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.737029 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.732953 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732048 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728713 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727555 [38] validation_0-merror:0.3 validation_0-mlogloss:0.726002 [39] validation_0-merror:0.3 validation_0-mlogloss:0.726012 [40] validation_0-merror:0.3 validation_0-mlogloss:0.722176 [41] validation_0-merror:0.3 validation_0-mlogloss:0.721457 [42] validation_0-merror:0.3 validation_0-mlogloss:0.722093 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.722655 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722426 [45] validation_0-merror:0.3 validation_0-mlogloss:0.719651 [46] validation_0-merror:0.3 validation_0-mlogloss:0.715191 [47] validation_0-merror:0.3 validation_0-mlogloss:0.715452 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.716179 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.722386 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.720718 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.721341 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.715191 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02436 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99328 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968135 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940071 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916317 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896191 [7] validation_0-merror:0.35 validation_0-mlogloss:0.883045 [8] validation_0-merror:0.3 validation_0-mlogloss:0.861279 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847821 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.833967 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.816653 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797655 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784231 [14] validation_0-merror:0.35 validation_0-mlogloss:0.775744 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.764884 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.756875 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.747904 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.737788 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.728753 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.72246 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.719215 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.712162 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.709225 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.707351 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.69969 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.694452 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.690064 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.68873 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.685091 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.683893 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.679425 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.676504 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.675028 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.676894 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.674961 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.674995 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67346 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.674099 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.673503 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.675601 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.675443 [42] validation_0-merror:0.3 validation_0-mlogloss:0.675257 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67346 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0592 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03144 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00093 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.984809 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956824 [5] validation_0-merror:0.45 validation_0-mlogloss:0.934306 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.920305 [7] validation_0-merror:0.4 validation_0-mlogloss:0.913825 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.903685 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.889801 [10] validation_0-merror:0.4 validation_0-mlogloss:0.876903 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.866438 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.853249 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.840597 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.832552 [15] validation_0-merror:0.4 validation_0-mlogloss:0.821148 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.81386 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.810781 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.807682 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.805767 [20] validation_0-merror:0.4 validation_0-mlogloss:0.801726 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.799529 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.795699 [23] validation_0-merror:0.4 validation_0-mlogloss:0.791682 [24] validation_0-merror:0.4 validation_0-mlogloss:0.78906 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.786757 [26] validation_0-merror:0.4 validation_0-mlogloss:0.785312 [27] validation_0-merror:0.4 validation_0-mlogloss:0.784469 [28] validation_0-merror:0.4 validation_0-mlogloss:0.783273 [29] validation_0-merror:0.4 validation_0-mlogloss:0.783329 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.784714 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.785127 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.785577 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.786109 Stopping. Best iteration: [28] validation_0-merror:0.4 validation_0-mlogloss:0.783273 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999491 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979398 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954726 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92553 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909874 [7] validation_0-merror:0.35 validation_0-mlogloss:0.90023 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.880552 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845438 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828423 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810754 [13] validation_0-merror:0.3 validation_0-mlogloss:0.796963 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789502 [15] validation_0-merror:0.3 validation_0-mlogloss:0.782149 [16] validation_0-merror:0.3 validation_0-mlogloss:0.768248 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758832 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755954 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747153 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740003 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739745 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733705 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72809 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721822 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716535 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715838 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713636 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707505 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.704261 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704396 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706039 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703605 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70112 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700727 [35] validation_0-merror:0.3 validation_0-mlogloss:0.701967 [36] validation_0-merror:0.3 validation_0-mlogloss:0.703851 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701946 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700209 [39] validation_0-merror:0.3 validation_0-mlogloss:0.698557 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.696788 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.696199 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.693943 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69144 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.694514 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.696137 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695851 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.695569 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.69497 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69144 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05651 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02084 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.992353 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957666 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949942 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925773 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906257 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892513 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.877339 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858854 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.8484 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83568 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821664 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811741 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804345 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.806299 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.791973 [17] validation_0-merror:0.35 validation_0-mlogloss:0.781386 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773185 [19] validation_0-merror:0.35 validation_0-mlogloss:0.76595 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759156 [21] validation_0-merror:0.35 validation_0-mlogloss:0.748963 [22] validation_0-merror:0.35 validation_0-mlogloss:0.739516 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730817 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72569 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.725452 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.714266 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712781 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.708209 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701454 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694572 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689004 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687829 [33] validation_0-merror:0.3 validation_0-mlogloss:0.685916 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.683505 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.681841 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.67852 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.670455 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.671681 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.668964 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669135 [41] validation_0-merror:0.3 validation_0-mlogloss:0.669502 [42] validation_0-merror:0.3 validation_0-mlogloss:0.667583 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668302 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.666526 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.661589 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.659886 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.657857 [48] validation_0-merror:0.3 validation_0-mlogloss:0.657517 [49] validation_0-merror:0.3 validation_0-mlogloss:0.659673 [50] validation_0-merror:0.3 validation_0-mlogloss:0.657855 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661396 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662064 [53] validation_0-merror:0.3 validation_0-mlogloss:0.664934 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.657517 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05926 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03475 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995665 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969714 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938071 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915799 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.892752 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.878402 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858954 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839499 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825461 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.815719 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81438 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806393 [14] validation_0-merror:0.35 validation_0-mlogloss:0.801793 [15] validation_0-merror:0.35 validation_0-mlogloss:0.789303 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.783879 [17] validation_0-merror:0.35 validation_0-mlogloss:0.781819 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.780004 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77425 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773951 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764718 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766456 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.761469 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.759349 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.760143 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756155 [27] validation_0-merror:0.3 validation_0-mlogloss:0.750203 [28] validation_0-merror:0.3 validation_0-mlogloss:0.746604 [29] validation_0-merror:0.3 validation_0-mlogloss:0.747775 [30] validation_0-merror:0.3 validation_0-mlogloss:0.749272 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751744 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.746903 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.75014 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.746604 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03253 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.993413 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.969544 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936784 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913149 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901183 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.88803 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872851 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860851 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846996 [11] validation_0-merror:0.35 validation_0-mlogloss:0.836651 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.824655 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814039 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797204 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780897 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777021 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76888 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762954 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762302 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762339 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.75822 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747513 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746349 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743697 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735358 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734324 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731614 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.728994 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.72815 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73213 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.733242 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.737982 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.739817 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.743502 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.72815 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05185 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01174 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.97915 [3] validation_0-merror:0.35 validation_0-mlogloss:0.951158 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950288 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921219 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902654 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890228 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.87312 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856622 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838741 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832281 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.819157 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804183 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796022 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793748 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785592 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778273 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.774183 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768213 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.76104 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755499 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746464 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.727653 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728491 [26] validation_0-merror:0.3 validation_0-mlogloss:0.722306 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722927 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.719896 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718602 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715609 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712165 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.708192 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.71119 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.709919 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.706102 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.706681 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.706541 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.709352 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.70606 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.705078 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.701944 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.69859 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69723 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694547 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695778 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695257 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697765 [48] validation_0-merror:0.3 validation_0-mlogloss:0.696756 [49] validation_0-merror:0.3 validation_0-mlogloss:0.696617 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694547 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06159 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03412 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00581 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976009 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948848 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.93094 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910454 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.893997 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870611 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.858901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.850642 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845118 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.837247 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827228 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821655 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.809291 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.810186 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.809825 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.803383 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.799925 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.794396 [21] validation_0-merror:0.35 validation_0-mlogloss:0.791486 [22] validation_0-merror:0.35 validation_0-mlogloss:0.790245 [23] validation_0-merror:0.35 validation_0-mlogloss:0.788303 [24] validation_0-merror:0.35 validation_0-mlogloss:0.790103 [25] validation_0-merror:0.35 validation_0-mlogloss:0.791295 [26] validation_0-merror:0.35 validation_0-mlogloss:0.788366 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.787791 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.787195 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.782919 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779277 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.78053 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.779313 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.779928 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.783975 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.786024 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779277 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0643 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03118 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00112 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981063 [4] validation_0-merror:0.35 validation_0-mlogloss:0.95535 [5] validation_0-merror:0.35 validation_0-mlogloss:0.945189 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.935896 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.927568 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.909301 [9] validation_0-merror:0.35 validation_0-mlogloss:0.899111 [10] validation_0-merror:0.3 validation_0-mlogloss:0.883755 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.869922 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.858224 [13] validation_0-merror:0.3 validation_0-mlogloss:0.850245 [14] validation_0-merror:0.3 validation_0-mlogloss:0.834621 [15] validation_0-merror:0.3 validation_0-mlogloss:0.832888 [16] validation_0-merror:0.3 validation_0-mlogloss:0.830249 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.82339 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.812116 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.805212 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.807255 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.804303 [22] validation_0-merror:0.35 validation_0-mlogloss:0.803854 [23] validation_0-merror:0.35 validation_0-mlogloss:0.799165 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.796663 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795367 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.791827 [27] validation_0-merror:0.35 validation_0-mlogloss:0.791207 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.785324 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.781508 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779511 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.776896 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773561 [33] validation_0-merror:0.3 validation_0-mlogloss:0.774022 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.775398 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.776643 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.778904 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.782086 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.773561 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05284 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02251 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992021 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963818 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929162 [5] validation_0-merror:0.3 validation_0-mlogloss:0.904292 [6] validation_0-merror:0.3 validation_0-mlogloss:0.889659 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.877797 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.859536 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.847159 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838014 [11] validation_0-merror:0.3 validation_0-mlogloss:0.822096 [12] validation_0-merror:0.3 validation_0-mlogloss:0.799404 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.781442 [14] validation_0-merror:0.25 validation_0-mlogloss:0.773395 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.762745 [16] validation_0-merror:0.3 validation_0-mlogloss:0.753884 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.748135 [18] validation_0-merror:0.25 validation_0-mlogloss:0.738315 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.726888 [20] validation_0-merror:0.25 validation_0-mlogloss:0.72089 [21] validation_0-merror:0.25 validation_0-mlogloss:0.717674 [22] validation_0-merror:0.25 validation_0-mlogloss:0.714981 [23] validation_0-merror:0.25 validation_0-mlogloss:0.708859 [24] validation_0-merror:0.25 validation_0-mlogloss:0.706213 [25] validation_0-merror:0.25 validation_0-mlogloss:0.702398 [26] validation_0-merror:0.25 validation_0-mlogloss:0.702499 [27] validation_0-merror:0.25 validation_0-mlogloss:0.697384 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.696422 [29] validation_0-merror:0.25 validation_0-mlogloss:0.690364 [30] validation_0-merror:0.25 validation_0-mlogloss:0.687628 [31] validation_0-merror:0.25 validation_0-mlogloss:0.685366 [32] validation_0-merror:0.25 validation_0-mlogloss:0.680202 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.677109 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.67554 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.673133 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.672172 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.672158 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.671328 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.670644 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.669903 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.668663 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.665334 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.667584 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.666168 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.664546 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.667742 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.669292 [48] validation_0-merror:0.233333 validation_0-mlogloss:0.668868 [49] validation_0-merror:0.25 validation_0-mlogloss:0.667262 [50] validation_0-merror:0.25 validation_0-mlogloss:0.667503 Stopping. Best iteration: [45] validation_0-merror:0.233333 validation_0-mlogloss:0.664546 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03118 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00545 [3] validation_0-merror:0.4 validation_0-mlogloss:0.989167 [4] validation_0-merror:0.4 validation_0-mlogloss:0.959565 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935353 [6] validation_0-merror:0.35 validation_0-mlogloss:0.923424 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.919642 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.905379 [9] validation_0-merror:0.35 validation_0-mlogloss:0.893658 [10] validation_0-merror:0.35 validation_0-mlogloss:0.881632 [11] validation_0-merror:0.35 validation_0-mlogloss:0.868845 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.85238 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.84204 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.835656 [15] validation_0-merror:0.3 validation_0-mlogloss:0.828337 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.820739 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.817933 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.816679 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.812466 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.814257 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.811519 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.811147 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.806353 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.803138 [25] validation_0-merror:0.35 validation_0-mlogloss:0.799183 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.802208 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.806585 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.805952 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.80785 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.81151 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.799183 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05844 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03271 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997571 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975125 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952802 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927326 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903705 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894361 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873126 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855398 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844157 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837671 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818661 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806482 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800569 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796087 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785182 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780168 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.775564 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768359 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760333 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765087 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760499 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757319 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751329 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748242 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.745107 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.74622 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741173 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.742459 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.742615 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746582 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.746909 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744924 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741173 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02177 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994827 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.967115 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.9583 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.936804 [6] validation_0-merror:0.4 validation_0-mlogloss:0.91881 [7] validation_0-merror:0.4 validation_0-mlogloss:0.90014 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882674 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.865 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854891 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843829 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835111 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82598 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818189 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818998 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809084 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799381 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.79388 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786573 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777546 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770938 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761532 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755404 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746545 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.745915 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735733 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734935 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727569 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722627 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71354 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706973 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.706104 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706362 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702123 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.70196 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.700581 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696536 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.696741 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69776 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.699106 [41] validation_0-merror:0.3 validation_0-mlogloss:0.697648 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692166 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688531 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688404 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687164 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.687888 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.685006 [48] validation_0-merror:0.3 validation_0-mlogloss:0.683239 [49] validation_0-merror:0.3 validation_0-mlogloss:0.684886 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.682716 [51] validation_0-merror:0.3 validation_0-mlogloss:0.682992 [52] validation_0-merror:0.3 validation_0-mlogloss:0.683219 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.682919 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.681381 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.68022 [56] validation_0-merror:0.3 validation_0-mlogloss:0.67943 [57] validation_0-merror:0.3 validation_0-mlogloss:0.677157 [58] validation_0-merror:0.3 validation_0-mlogloss:0.678863 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.683181 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.681451 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.682255 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.684038 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.677157 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03881 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00193 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979628 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94397 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922232 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900774 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881986 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86289 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.847427 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.830212 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815756 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.810478 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.803285 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.794654 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.781822 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.773541 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.77059 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.76938 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763027 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759844 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75765 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755998 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754386 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752225 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.749943 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748684 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74774 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749256 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751361 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755445 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.755573 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756312 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.74774 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0598 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03232 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.994629 [3] validation_0-merror:0.3 validation_0-mlogloss:0.977949 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.946766 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923685 [6] validation_0-merror:0.3 validation_0-mlogloss:0.9054 [7] validation_0-merror:0.35 validation_0-mlogloss:0.89301 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878529 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.8636 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846293 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.839472 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826066 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810911 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795864 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794524 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78596 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.781717 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773506 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768011 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764908 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763102 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760666 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.750063 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.749551 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.747799 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.741513 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735218 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729861 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726596 [30] validation_0-merror:0.3 validation_0-mlogloss:0.725751 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.725971 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726255 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72802 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.731147 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.737888 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.725751 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0116 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97764 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948325 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94724 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917757 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902099 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883734 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864882 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846839 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829863 [11] validation_0-merror:0.3 validation_0-mlogloss:0.817832 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805951 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791713 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788338 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785004 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774136 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.762174 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.75457 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750008 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.742457 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73584 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.725727 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721677 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715251 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714477 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.706315 [27] validation_0-merror:0.3 validation_0-mlogloss:0.705905 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700537 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700929 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697524 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690542 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686859 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688541 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.68595 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683421 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.684746 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.684695 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687701 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685694 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.685507 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683421 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.064 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03171 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998351 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965593 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.936256 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916139 [6] validation_0-merror:0.3 validation_0-mlogloss:0.897933 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884698 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862883 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852324 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842027 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834515 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827934 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815811 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809588 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799848 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801613 [17] validation_0-merror:0.35 validation_0-mlogloss:0.797053 [18] validation_0-merror:0.35 validation_0-mlogloss:0.79222 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791372 [20] validation_0-merror:0.35 validation_0-mlogloss:0.790921 [21] validation_0-merror:0.35 validation_0-mlogloss:0.788552 [22] validation_0-merror:0.35 validation_0-mlogloss:0.783427 [23] validation_0-merror:0.35 validation_0-mlogloss:0.777482 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.777742 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.776327 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771816 [27] validation_0-merror:0.35 validation_0-mlogloss:0.771768 [28] validation_0-merror:0.35 validation_0-mlogloss:0.77399 [29] validation_0-merror:0.35 validation_0-mlogloss:0.773727 [30] validation_0-merror:0.35 validation_0-mlogloss:0.774287 [31] validation_0-merror:0.35 validation_0-mlogloss:0.776029 [32] validation_0-merror:0.35 validation_0-mlogloss:0.777918 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.771768 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06206 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03383 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00241 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979625 [4] validation_0-merror:0.3 validation_0-mlogloss:0.949684 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934865 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.914893 [7] validation_0-merror:0.3 validation_0-mlogloss:0.901444 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.882932 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869478 [10] validation_0-merror:0.35 validation_0-mlogloss:0.857812 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845241 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830901 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820047 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804844 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800157 [16] validation_0-merror:0.3 validation_0-mlogloss:0.795099 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.788149 [18] validation_0-merror:0.3 validation_0-mlogloss:0.780017 [19] validation_0-merror:0.3 validation_0-mlogloss:0.774469 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776779 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776308 [22] validation_0-merror:0.3 validation_0-mlogloss:0.773385 [23] validation_0-merror:0.3 validation_0-mlogloss:0.767389 [24] validation_0-merror:0.3 validation_0-mlogloss:0.765054 [25] validation_0-merror:0.3 validation_0-mlogloss:0.76331 [26] validation_0-merror:0.3 validation_0-mlogloss:0.757773 [27] validation_0-merror:0.3 validation_0-mlogloss:0.755807 [28] validation_0-merror:0.3 validation_0-mlogloss:0.751336 [29] validation_0-merror:0.3 validation_0-mlogloss:0.748546 [30] validation_0-merror:0.3 validation_0-mlogloss:0.749475 [31] validation_0-merror:0.3 validation_0-mlogloss:0.750492 [32] validation_0-merror:0.3 validation_0-mlogloss:0.74698 [33] validation_0-merror:0.3 validation_0-mlogloss:0.750575 [34] validation_0-merror:0.3 validation_0-mlogloss:0.749989 [35] validation_0-merror:0.3 validation_0-mlogloss:0.751751 [36] validation_0-merror:0.3 validation_0-mlogloss:0.750678 [37] validation_0-merror:0.3 validation_0-mlogloss:0.749152 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.74698 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02459 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.993577 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.969963 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.939712 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917627 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903038 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892382 [8] validation_0-merror:0.3 validation_0-mlogloss:0.872062 [9] validation_0-merror:0.35 validation_0-mlogloss:0.861517 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851983 [11] validation_0-merror:0.35 validation_0-mlogloss:0.840274 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820584 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80624 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798947 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792599 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782749 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773092 [18] validation_0-merror:0.35 validation_0-mlogloss:0.762813 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75284 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746743 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743276 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.736498 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731009 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72935 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.727196 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.723137 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719928 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.717403 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.710316 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.704566 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704623 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700123 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.69749 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696243 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69601 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694685 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693926 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69145 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690922 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691471 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689811 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.6876 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.688275 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688601 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.690176 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.690438 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.691537 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.6876 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998436 [3] validation_0-merror:0.4 validation_0-mlogloss:0.980852 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.960142 [5] validation_0-merror:0.4 validation_0-mlogloss:0.938013 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.922708 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91425 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.902261 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.889046 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.87676 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.864939 [12] validation_0-merror:0.35 validation_0-mlogloss:0.851255 [13] validation_0-merror:0.35 validation_0-mlogloss:0.834464 [14] validation_0-merror:0.35 validation_0-mlogloss:0.824326 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.813131 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804078 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800506 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79765 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.792063 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.789742 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.786564 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.785228 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.781341 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.780258 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776858 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.775821 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.776544 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.773366 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.774491 [30] validation_0-merror:0.35 validation_0-mlogloss:0.77775 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.779609 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.781123 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.7825 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.773366 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03381 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00048 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9803 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954233 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929911 [6] validation_0-merror:0.35 validation_0-mlogloss:0.914893 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903533 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.885065 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869809 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.855513 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.839275 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.818957 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806014 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800324 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787855 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.779746 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777101 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769943 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764504 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758558 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.756226 [22] validation_0-merror:0.3 validation_0-mlogloss:0.751356 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744726 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739584 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734158 [26] validation_0-merror:0.3 validation_0-mlogloss:0.731096 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728463 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72497 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723768 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722645 [31] validation_0-merror:0.3 validation_0-mlogloss:0.724036 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722678 [33] validation_0-merror:0.3 validation_0-mlogloss:0.722773 [34] validation_0-merror:0.3 validation_0-mlogloss:0.719385 [35] validation_0-merror:0.3 validation_0-mlogloss:0.718965 [36] validation_0-merror:0.3 validation_0-mlogloss:0.719898 [37] validation_0-merror:0.3 validation_0-mlogloss:0.721089 [38] validation_0-merror:0.3 validation_0-mlogloss:0.718496 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717418 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71606 [41] validation_0-merror:0.3 validation_0-mlogloss:0.716643 [42] validation_0-merror:0.3 validation_0-mlogloss:0.716395 [43] validation_0-merror:0.3 validation_0-mlogloss:0.716087 [44] validation_0-merror:0.3 validation_0-mlogloss:0.71674 [45] validation_0-merror:0.3 validation_0-mlogloss:0.717695 Stopping. Best iteration: [40] validation_0-merror:0.3 validation_0-mlogloss:0.71606 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02883 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.998949 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973125 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963525 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939445 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922102 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905357 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889331 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.872746 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.863609 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.851556 [12] validation_0-merror:0.35 validation_0-mlogloss:0.839269 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830792 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.823285 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.821193 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809308 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797099 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.792486 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.787845 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777041 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769186 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759424 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75205 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743367 [25] validation_0-merror:0.35 validation_0-mlogloss:0.742091 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732882 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.725206 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720006 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715149 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710603 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703533 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702669 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.699285 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.698617 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696415 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694463 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695803 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692438 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694203 [41] validation_0-merror:0.3 validation_0-mlogloss:0.693783 [42] validation_0-merror:0.3 validation_0-mlogloss:0.691626 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688667 [44] validation_0-merror:0.3 validation_0-mlogloss:0.686114 [45] validation_0-merror:0.3 validation_0-mlogloss:0.685544 [46] validation_0-merror:0.3 validation_0-mlogloss:0.686289 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682828 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679934 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.682243 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677502 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680952 [52] validation_0-merror:0.3 validation_0-mlogloss:0.683545 [53] validation_0-merror:0.3 validation_0-mlogloss:0.683074 [54] validation_0-merror:0.3 validation_0-mlogloss:0.682599 [55] validation_0-merror:0.3 validation_0-mlogloss:0.682092 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.677502 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997853 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976479 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943207 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922781 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906268 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891363 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872093 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854906 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838671 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82972 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825114 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.81348 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808149 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.797044 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789705 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785351 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781263 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.777484 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.771993 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766505 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.765296 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.764846 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765652 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764796 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761973 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755054 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754605 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752627 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753847 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753408 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747746 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74719 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.7524 [35] validation_0-merror:0.35 validation_0-mlogloss:0.758674 [36] validation_0-merror:0.35 validation_0-mlogloss:0.753893 [37] validation_0-merror:0.35 validation_0-mlogloss:0.758057 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.757604 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74719 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03756 [2] validation_0-merror:0.25 validation_0-mlogloss:1.00065 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.978416 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952568 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.926401 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905237 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.8927 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879137 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864739 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845981 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837165 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.824417 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809696 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797039 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794575 [16] validation_0-merror:0.3 validation_0-mlogloss:0.787029 [17] validation_0-merror:0.3 validation_0-mlogloss:0.782275 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775048 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766706 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758519 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752915 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748863 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.741904 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73896 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734521 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.729401 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724956 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724657 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720158 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71554 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712383 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.710745 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710748 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.709887 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.712455 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.709817 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.70883 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.705949 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.705491 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.700094 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.697062 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.698578 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.694713 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695259 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.694951 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694529 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.694954 [48] validation_0-merror:0.3 validation_0-mlogloss:0.698082 [49] validation_0-merror:0.3 validation_0-mlogloss:0.698162 [50] validation_0-merror:0.3 validation_0-mlogloss:0.695914 [51] validation_0-merror:0.3 validation_0-mlogloss:0.694765 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694529 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05177 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01242 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984308 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95774 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95461 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.92309 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.906222 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888525 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867655 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850302 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837829 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823542 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.810956 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795618 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789224 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786533 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775986 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765262 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.7603 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755533 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745509 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740622 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.732139 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726949 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.719798 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.717803 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.711962 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712043 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706606 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70375 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700232 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693221 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.689297 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68601 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.683734 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.680778 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679485 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675386 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677316 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674739 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.674457 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.670414 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671981 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669696 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.666949 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.664569 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662972 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.662811 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.660084 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.660828 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.662156 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.664157 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.663667 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.667898 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.660084 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06264 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0343 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00325 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973945 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943682 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92148 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906396 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892577 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867957 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851628 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842011 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833591 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826173 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816248 [14] validation_0-merror:0.35 validation_0-mlogloss:0.813256 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802098 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79921 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793967 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789524 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78836 [20] validation_0-merror:0.35 validation_0-mlogloss:0.784366 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.781224 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.776536 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.773878 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.773709 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.77345 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769571 [27] validation_0-merror:0.35 validation_0-mlogloss:0.768918 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769413 [29] validation_0-merror:0.35 validation_0-mlogloss:0.768335 [30] validation_0-merror:0.35 validation_0-mlogloss:0.768335 [31] validation_0-merror:0.35 validation_0-mlogloss:0.770512 [32] validation_0-merror:0.35 validation_0-mlogloss:0.77212 [33] validation_0-merror:0.35 validation_0-mlogloss:0.770835 [34] validation_0-merror:0.35 validation_0-mlogloss:0.772782 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.768335 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03521 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00513 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976049 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943728 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.920807 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.901343 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.88661 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871389 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857287 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.841322 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828899 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815701 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803715 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790138 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.78708 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.782669 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.776702 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768358 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761675 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.760974 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.758047 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754172 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.749808 [24] validation_0-merror:0.3 validation_0-mlogloss:0.746272 [25] validation_0-merror:0.3 validation_0-mlogloss:0.744191 [26] validation_0-merror:0.3 validation_0-mlogloss:0.742203 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.739822 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.739882 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.735576 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737016 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735497 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.731725 [33] validation_0-merror:0.3 validation_0-mlogloss:0.731706 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.729559 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.729108 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.728413 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.728008 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.724655 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.723908 [40] validation_0-merror:0.3 validation_0-mlogloss:0.722893 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.720579 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.721244 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.724967 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.726868 [45] validation_0-merror:0.3 validation_0-mlogloss:0.725853 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.722512 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.720579 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0561 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02353 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99316 [3] validation_0-merror:0.3 validation_0-mlogloss:0.967449 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.940747 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915751 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.898048 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887791 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868167 [9] validation_0-merror:0.4 validation_0-mlogloss:0.858411 [10] validation_0-merror:0.35 validation_0-mlogloss:0.847015 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829493 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810512 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799866 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788566 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778378 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768248 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759897 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749063 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738707 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.732581 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.728418 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.722747 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720158 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.715829 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.709726 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.702949 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.699343 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.698362 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.693111 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.689641 [31] validation_0-merror:0.35 validation_0-mlogloss:0.685712 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.683708 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.681945 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.680509 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.679752 [36] validation_0-merror:0.35 validation_0-mlogloss:0.678183 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.677291 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.674271 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.674709 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.675173 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.674106 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.676117 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.67773 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.677358 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.678345 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.677979 Stopping. Best iteration: [41] validation_0-merror:0.333333 validation_0-mlogloss:0.674106 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03197 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00006 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.982317 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957563 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.936442 [6] validation_0-merror:0.4 validation_0-mlogloss:0.920296 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.911998 [8] validation_0-merror:0.35 validation_0-mlogloss:0.900035 [9] validation_0-merror:0.35 validation_0-mlogloss:0.886779 [10] validation_0-merror:0.35 validation_0-mlogloss:0.877099 [11] validation_0-merror:0.35 validation_0-mlogloss:0.862568 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.848309 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.836842 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829544 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818957 [16] validation_0-merror:0.35 validation_0-mlogloss:0.812408 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.81104 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.805085 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.800021 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.794718 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.79083 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.786112 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.782424 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.78153 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.780252 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.780297 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.780934 [28] validation_0-merror:0.35 validation_0-mlogloss:0.779439 [29] validation_0-merror:0.35 validation_0-mlogloss:0.779038 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.78236 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.784922 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.783651 [33] validation_0-merror:0.35 validation_0-mlogloss:0.785776 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.785067 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.779038 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03316 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99985 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980318 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95735 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934288 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.92002 [7] validation_0-merror:0.35 validation_0-mlogloss:0.906274 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.885921 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.868797 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.851911 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.836586 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818562 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.80593 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798289 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786192 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.77314 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765414 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759478 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752118 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748331 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747726 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742472 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.736527 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72913 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723704 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721137 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.717473 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.712907 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71074 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710488 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712009 [32] validation_0-merror:0.3 validation_0-mlogloss:0.708727 [33] validation_0-merror:0.3 validation_0-mlogloss:0.707487 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703397 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70082 [36] validation_0-merror:0.3 validation_0-mlogloss:0.702812 [37] validation_0-merror:0.3 validation_0-mlogloss:0.7059 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704318 [39] validation_0-merror:0.3 validation_0-mlogloss:0.703656 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702346 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.70082 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.97198 [4] validation_0-merror:0.35 validation_0-mlogloss:0.963255 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936808 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916906 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901681 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884895 [9] validation_0-merror:0.4 validation_0-mlogloss:0.868043 [10] validation_0-merror:0.4 validation_0-mlogloss:0.855961 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841163 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.828361 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813505 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807719 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.805514 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794623 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782339 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777493 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771185 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761597 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753661 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746223 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742659 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731972 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734208 [26] validation_0-merror:0.3 validation_0-mlogloss:0.727665 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724355 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719395 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716264 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712104 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.708834 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.707597 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704052 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703888 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701849 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703333 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699876 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700574 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699169 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702338 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.702969 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.699607 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.697454 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696819 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694184 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694953 [47] validation_0-merror:0.3 validation_0-mlogloss:0.691499 [48] validation_0-merror:0.3 validation_0-mlogloss:0.69112 [49] validation_0-merror:0.3 validation_0-mlogloss:0.693882 [50] validation_0-merror:0.3 validation_0-mlogloss:0.692762 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.69516 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.696303 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.697906 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.69112 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0433 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00694 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982505 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950282 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930232 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912027 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.893356 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.875739 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859979 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843003 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834284 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829826 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.820621 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.814578 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807446 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801178 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794287 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786938 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780647 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775567 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770251 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768868 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766317 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765815 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763526 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761959 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759894 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756707 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.753818 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.756414 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753003 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.750799 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.749633 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752733 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.754987 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.750059 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.75529 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.754775 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.749633 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911779 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898839 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883967 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.871379 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850158 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837276 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824341 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810359 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798667 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797044 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.790819 [17] validation_0-merror:0.3 validation_0-mlogloss:0.784277 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770785 [19] validation_0-merror:0.3 validation_0-mlogloss:0.766859 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760215 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.751431 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747926 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.7381 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73736 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733535 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729559 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.723926 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72314 [29] validation_0-merror:0.3 validation_0-mlogloss:0.71844 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714253 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708137 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70799 [33] validation_0-merror:0.3 validation_0-mlogloss:0.709011 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707276 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706355 [36] validation_0-merror:0.3 validation_0-mlogloss:0.700127 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701094 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.699127 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695226 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.689442 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687469 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.688799 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.68435 [44] validation_0-merror:0.3 validation_0-mlogloss:0.682504 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679253 [46] validation_0-merror:0.3 validation_0-mlogloss:0.680733 [47] validation_0-merror:0.3 validation_0-mlogloss:0.681554 [48] validation_0-merror:0.3 validation_0-mlogloss:0.684459 [49] validation_0-merror:0.3 validation_0-mlogloss:0.685089 [50] validation_0-merror:0.3 validation_0-mlogloss:0.684996 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.679253 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01295 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988025 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957233 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949271 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917869 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895212 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.878056 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.862464 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843497 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829457 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815183 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803163 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794214 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785856 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783747 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769738 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.758738 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.754667 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749844 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.739894 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.736983 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.725941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720708 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71256 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710041 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702486 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703262 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700562 [29] validation_0-merror:0.3 validation_0-mlogloss:0.698311 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695856 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689769 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.684955 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.682325 [34] validation_0-merror:0.3 validation_0-mlogloss:0.679589 [35] validation_0-merror:0.3 validation_0-mlogloss:0.674404 [36] validation_0-merror:0.3 validation_0-mlogloss:0.672754 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669683 [38] validation_0-merror:0.3 validation_0-mlogloss:0.670496 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668667 [40] validation_0-merror:0.3 validation_0-mlogloss:0.670656 [41] validation_0-merror:0.3 validation_0-mlogloss:0.665053 [42] validation_0-merror:0.3 validation_0-mlogloss:0.665219 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663848 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.662117 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.660512 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.659941 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.658046 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.655058 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654948 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.655235 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.655974 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.655202 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.65888 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.659208 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654948 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0288 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998801 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965957 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935899 [5] validation_0-merror:0.35 validation_0-mlogloss:0.91688 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.901801 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885537 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860712 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846284 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836395 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827302 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820865 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812288 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80752 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.796591 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.793166 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787268 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785767 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785484 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778733 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775574 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771976 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770955 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.771564 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770651 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766318 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.764522 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.762625 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.762113 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.7626 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.764684 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.762982 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.76353 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.764658 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.762113 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03587 [2] validation_0-merror:0.3 validation_0-mlogloss:1.0028 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974672 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.945733 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.922153 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.901366 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.886222 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868144 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.853888 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.83925 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.829683 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816351 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.804257 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.795457 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.791368 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.786538 [17] validation_0-merror:0.25 validation_0-mlogloss:0.780463 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.773422 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765615 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762691 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759697 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.752051 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.742214 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73756 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.733093 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.731178 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.726134 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.723958 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.720142 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.721201 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.715036 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.710125 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.71631 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.712279 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.714503 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.712923 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.712468 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.710125 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05701 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02434 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993164 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969236 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94075 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.915305 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899008 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.887993 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.866618 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.855754 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841334 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824326 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805267 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79202 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783431 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775619 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768408 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759927 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738531 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732343 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728299 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.724485 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722046 [24] validation_0-merror:0.3 validation_0-mlogloss:0.720187 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715604 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712375 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709603 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709006 [29] validation_0-merror:0.3 validation_0-mlogloss:0.704915 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704224 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.697613 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.695543 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693702 [34] validation_0-merror:0.3 validation_0-mlogloss:0.693708 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.693639 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691947 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6913 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69161 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691867 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.695299 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.695817 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.696934 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6913 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05858 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03048 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00103 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981634 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952252 [5] validation_0-merror:0.4 validation_0-mlogloss:0.93182 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918051 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.912948 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.902128 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.889998 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.878256 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.867771 [12] validation_0-merror:0.4 validation_0-mlogloss:0.854598 [13] validation_0-merror:0.4 validation_0-mlogloss:0.844549 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.835889 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.826868 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.819385 [17] validation_0-merror:0.4 validation_0-mlogloss:0.815962 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.812701 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.808453 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.80694 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.80478 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.800505 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.797297 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.795876 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.794096 [26] validation_0-merror:0.4 validation_0-mlogloss:0.794601 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.795001 [28] validation_0-merror:0.4 validation_0-mlogloss:0.794336 [29] validation_0-merror:0.4 validation_0-mlogloss:0.792711 [30] validation_0-merror:0.4 validation_0-mlogloss:0.794849 [31] validation_0-merror:0.4 validation_0-mlogloss:0.797041 [32] validation_0-merror:0.4 validation_0-mlogloss:0.796709 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.799176 [34] validation_0-merror:0.4 validation_0-mlogloss:0.798645 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.792711 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02894 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996977 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976566 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953924 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927284 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.911672 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898574 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880887 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866409 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848276 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.830973 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817528 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806372 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800857 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792761 [16] validation_0-merror:0.3 validation_0-mlogloss:0.777387 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768031 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763252 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754897 [20] validation_0-merror:0.3 validation_0-mlogloss:0.752685 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751635 [22] validation_0-merror:0.3 validation_0-mlogloss:0.743005 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.732198 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728038 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.720584 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.719999 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.714022 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.708325 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.707574 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707604 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.706252 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704188 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.703379 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.702839 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.702032 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.701743 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.703229 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.701395 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.700925 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.698954 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.698395 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.696114 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695599 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695529 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695848 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.697317 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697875 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.699747 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.699615 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695529 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02722 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997948 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970705 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961941 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.9397 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920732 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903054 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885064 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863768 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.835202 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.822291 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808938 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799208 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797243 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784825 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773068 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769364 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76459 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754404 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747132 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744144 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738359 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.727927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728342 [26] validation_0-merror:0.3 validation_0-mlogloss:0.721475 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.717495 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711337 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.710363 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703428 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699035 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.701279 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698429 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.697892 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69385 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694352 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.696479 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.699712 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.698955 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.701705 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69385 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04047 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00608 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981779 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9492 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93103 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912571 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896369 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879496 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.864411 [10] validation_0-merror:0.4 validation_0-mlogloss:0.847031 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.83707 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.830685 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.818983 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811782 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805294 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800029 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.79147 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787205 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780583 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77761 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.772928 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771521 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769392 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768246 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766647 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.765611 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.763801 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761679 [29] validation_0-merror:0.4 validation_0-mlogloss:0.759776 [30] validation_0-merror:0.4 validation_0-mlogloss:0.759461 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.757092 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75557 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.75528 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.757867 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.755336 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.752903 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.752678 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.752897 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.75517 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.752922 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.749843 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.750001 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.748588 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.750664 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.749048 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.74998 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.74632 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.747384 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747976 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.743656 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.745552 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.74346 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.744336 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.751771 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.751725 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.750845 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.749291 Stopping. Best iteration: [52] validation_0-merror:0.383333 validation_0-mlogloss:0.74346 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928635 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912104 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897746 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.866507 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.847307 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835332 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823825 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809366 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797946 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796621 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790818 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785912 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779308 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.775553 [20] validation_0-merror:0.3 validation_0-mlogloss:0.769615 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764531 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764137 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758322 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.757782 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.755616 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751571 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744242 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.742327 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738251 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734558 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731653 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73157 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.730992 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728974 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.727281 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.7219 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.722564 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719756 [39] validation_0-merror:0.35 validation_0-mlogloss:0.717856 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.711818 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.710075 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.711109 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.706325 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702052 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696144 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697531 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.69827 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.69665 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697052 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.693268 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.691702 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.68787 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.688851 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.694256 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.692705 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.693064 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.692004 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.68787 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01395 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985301 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957111 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.948227 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920262 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.904134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885265 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868603 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847842 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834411 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822064 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808516 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798899 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791085 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786951 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776097 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764229 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758958 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753499 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745766 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742484 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730676 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.72321 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715058 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711567 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7062 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705985 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703144 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701718 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698994 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.695593 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691503 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.689746 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.68888 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.683598 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.681435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678327 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.680637 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675697 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.677342 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.674649 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673874 [43] validation_0-merror:0.3 validation_0-mlogloss:0.672766 [44] validation_0-merror:0.3 validation_0-mlogloss:0.671563 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.66857 [46] validation_0-merror:0.3 validation_0-mlogloss:0.666608 [47] validation_0-merror:0.3 validation_0-mlogloss:0.664604 [48] validation_0-merror:0.3 validation_0-mlogloss:0.662827 [49] validation_0-merror:0.3 validation_0-mlogloss:0.664026 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664604 [51] validation_0-merror:0.3 validation_0-mlogloss:0.667072 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.666477 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.667228 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.662827 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02743 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997719 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96766 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.938281 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919895 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904793 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889465 [8] validation_0-merror:0.4 validation_0-mlogloss:0.867887 [9] validation_0-merror:0.4 validation_0-mlogloss:0.85311 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840561 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.829136 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822779 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813863 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809174 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801009 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797411 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792443 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787186 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.78137 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776054 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.772383 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769235 [24] validation_0-merror:0.4 validation_0-mlogloss:0.769253 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766554 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763314 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75946 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756018 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752785 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753422 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754006 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.753142 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.753916 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752893 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.752785 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03758 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00792 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.980427 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.959445 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936573 [6] validation_0-merror:0.3 validation_0-mlogloss:0.917104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.904062 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.887424 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869496 [10] validation_0-merror:0.3 validation_0-mlogloss:0.856532 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.844657 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830726 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819126 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810698 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801699 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794237 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.788857 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77987 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777168 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775522 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.769624 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.764332 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764682 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.757921 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758072 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.751985 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748964 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744584 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746986 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.74028 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735328 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.737029 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.732953 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732048 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728713 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727555 [38] validation_0-merror:0.3 validation_0-mlogloss:0.726002 [39] validation_0-merror:0.3 validation_0-mlogloss:0.726012 [40] validation_0-merror:0.3 validation_0-mlogloss:0.722176 [41] validation_0-merror:0.3 validation_0-mlogloss:0.721457 [42] validation_0-merror:0.3 validation_0-mlogloss:0.722093 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.722655 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722426 [45] validation_0-merror:0.3 validation_0-mlogloss:0.719651 [46] validation_0-merror:0.3 validation_0-mlogloss:0.715191 [47] validation_0-merror:0.3 validation_0-mlogloss:0.715452 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.716179 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.722386 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.720718 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.721341 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.715191 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02575 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994497 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969363 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941168 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917514 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897505 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883425 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862608 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849149 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835338 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.817979 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798995 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785575 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777282 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766502 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.758207 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.749296 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.739083 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.729945 [20] validation_0-merror:0.3 validation_0-mlogloss:0.723787 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.720606 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.714926 [23] validation_0-merror:0.3 validation_0-mlogloss:0.710117 [24] validation_0-merror:0.3 validation_0-mlogloss:0.70625 [25] validation_0-merror:0.3 validation_0-mlogloss:0.702643 [26] validation_0-merror:0.3 validation_0-mlogloss:0.697543 [27] validation_0-merror:0.3 validation_0-mlogloss:0.693427 [28] validation_0-merror:0.3 validation_0-mlogloss:0.692325 [29] validation_0-merror:0.3 validation_0-mlogloss:0.688692 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687712 [31] validation_0-merror:0.3 validation_0-mlogloss:0.683428 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683908 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679601 [34] validation_0-merror:0.3 validation_0-mlogloss:0.682026 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678464 [36] validation_0-merror:0.3 validation_0-mlogloss:0.67861 [37] validation_0-merror:0.3 validation_0-mlogloss:0.677154 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676388 [39] validation_0-merror:0.3 validation_0-mlogloss:0.67687 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679135 [41] validation_0-merror:0.3 validation_0-mlogloss:0.6804 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681383 [43] validation_0-merror:0.3 validation_0-mlogloss:0.682933 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.676388 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0592 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03144 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00093 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.984809 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956824 [5] validation_0-merror:0.45 validation_0-mlogloss:0.934306 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.920305 [7] validation_0-merror:0.4 validation_0-mlogloss:0.913825 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.903685 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.889801 [10] validation_0-merror:0.4 validation_0-mlogloss:0.876903 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.866438 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.853094 [13] validation_0-merror:0.4 validation_0-mlogloss:0.841938 [14] validation_0-merror:0.4 validation_0-mlogloss:0.833915 [15] validation_0-merror:0.4 validation_0-mlogloss:0.824546 [16] validation_0-merror:0.4 validation_0-mlogloss:0.817781 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.814286 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.808954 [19] validation_0-merror:0.4 validation_0-mlogloss:0.807688 [20] validation_0-merror:0.4 validation_0-mlogloss:0.802886 [21] validation_0-merror:0.4 validation_0-mlogloss:0.801032 [22] validation_0-merror:0.4 validation_0-mlogloss:0.797179 [23] validation_0-merror:0.4 validation_0-mlogloss:0.793414 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.790854 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.788511 [26] validation_0-merror:0.4 validation_0-mlogloss:0.787097 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.787028 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.786816 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.785965 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.788356 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.790884 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.791144 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.791857 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.79175 Stopping. Best iteration: [29] validation_0-merror:0.416667 validation_0-mlogloss:0.785965 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999491 [3] validation_0-merror:0.35 validation_0-mlogloss:0.979398 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954726 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92553 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909874 [7] validation_0-merror:0.35 validation_0-mlogloss:0.90023 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.880552 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845438 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828423 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810754 [13] validation_0-merror:0.3 validation_0-mlogloss:0.796963 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789502 [15] validation_0-merror:0.3 validation_0-mlogloss:0.782149 [16] validation_0-merror:0.3 validation_0-mlogloss:0.768248 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758832 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755954 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747153 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740003 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739745 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733705 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72809 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721822 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716535 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715838 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713636 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707505 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.704261 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704396 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706039 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703605 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70112 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700727 [35] validation_0-merror:0.3 validation_0-mlogloss:0.701967 [36] validation_0-merror:0.3 validation_0-mlogloss:0.703851 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701946 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700209 [39] validation_0-merror:0.3 validation_0-mlogloss:0.698557 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.696788 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.696199 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.693943 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69144 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.694514 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.696137 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695851 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.695569 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.69497 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69144 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05726 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02672 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00005 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970093 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.962722 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942116 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.92566 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907969 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.886604 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.870925 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.859024 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.844508 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.831739 [13] validation_0-merror:0.3 validation_0-mlogloss:0.822301 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.810954 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.806489 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.794614 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.782217 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.776638 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772051 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764551 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757735 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.750817 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.74414 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73219 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.725487 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710621 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704541 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703181 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.693537 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.689592 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.685342 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680666 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677436 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676519 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.675128 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673475 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.668623 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.669067 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.667932 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.668006 [41] validation_0-merror:0.3 validation_0-mlogloss:0.668678 [42] validation_0-merror:0.3 validation_0-mlogloss:0.66358 [43] validation_0-merror:0.3 validation_0-mlogloss:0.662241 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660723 [45] validation_0-merror:0.3 validation_0-mlogloss:0.657034 [46] validation_0-merror:0.3 validation_0-mlogloss:0.653987 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.651854 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.64942 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.651833 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.648811 [51] validation_0-merror:0.3 validation_0-mlogloss:0.648597 [52] validation_0-merror:0.3 validation_0-mlogloss:0.649829 [53] validation_0-merror:0.3 validation_0-mlogloss:0.653347 [54] validation_0-merror:0.3 validation_0-mlogloss:0.652638 [55] validation_0-merror:0.3 validation_0-mlogloss:0.651266 [56] validation_0-merror:0.3 validation_0-mlogloss:0.647859 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.644366 [58] validation_0-merror:0.3 validation_0-mlogloss:0.648063 [59] validation_0-merror:0.25 validation_0-mlogloss:0.646059 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.64372 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.643421 [62] validation_0-merror:0.25 validation_0-mlogloss:0.642536 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.643445 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.644128 [65] validation_0-merror:0.25 validation_0-mlogloss:0.644626 [66] validation_0-merror:0.25 validation_0-mlogloss:0.645882 [67] validation_0-merror:0.25 validation_0-mlogloss:0.641335 [68] validation_0-merror:0.25 validation_0-mlogloss:0.64094 [69] validation_0-merror:0.25 validation_0-mlogloss:0.636498 [70] validation_0-merror:0.25 validation_0-mlogloss:0.635662 [71] validation_0-merror:0.25 validation_0-mlogloss:0.636829 [72] validation_0-merror:0.25 validation_0-mlogloss:0.638145 [73] validation_0-merror:0.25 validation_0-mlogloss:0.639121 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.639852 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.637604 Stopping. Best iteration: [70] validation_0-merror:0.25 validation_0-mlogloss:0.635662 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04047 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00454 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983294 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.954219 [5] validation_0-merror:0.4 validation_0-mlogloss:0.932868 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.912121 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896135 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.875769 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858206 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841401 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82952 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822872 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815343 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808537 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.799719 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.793667 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.787918 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784396 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775763 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773213 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766285 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764681 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759829 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75756 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.753922 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750193 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.746573 [28] validation_0-merror:0.35 validation_0-mlogloss:0.740029 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739729 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.739811 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73545 [32] validation_0-merror:0.35 validation_0-mlogloss:0.734464 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.731142 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.734862 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.735029 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729274 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.730445 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.729058 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727295 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.725758 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724048 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.724103 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718859 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.716802 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.718898 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.722099 [47] validation_0-merror:0.35 validation_0-mlogloss:0.719024 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.72099 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.728868 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.716802 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0702 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04471 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00872 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.991387 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.963009 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.939062 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.921026 [7] validation_0-merror:0.35 validation_0-mlogloss:0.904407 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.885338 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873216 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.85183 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838572 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824112 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.805882 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789745 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.786381 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.776134 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.772396 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760521 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.754236 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748309 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.740907 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.734106 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.726832 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.725528 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.722537 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716049 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710622 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705465 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699988 [30] validation_0-merror:0.3 validation_0-mlogloss:0.692121 [31] validation_0-merror:0.3 validation_0-mlogloss:0.688529 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684044 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.685083 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.682523 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682578 [36] validation_0-merror:0.3 validation_0-mlogloss:0.674829 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.673027 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.669999 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.668375 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.665377 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.659972 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.659442 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.65305 [44] validation_0-merror:0.3 validation_0-mlogloss:0.6501 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.647951 [46] validation_0-merror:0.3 validation_0-mlogloss:0.649473 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.647847 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.650563 [49] validation_0-merror:0.3 validation_0-mlogloss:0.649144 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.650313 [51] validation_0-merror:0.3 validation_0-mlogloss:0.648132 [52] validation_0-merror:0.3 validation_0-mlogloss:0.641561 [53] validation_0-merror:0.3 validation_0-mlogloss:0.643334 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.646502 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.643954 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.643638 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.641476 [58] validation_0-merror:0.3 validation_0-mlogloss:0.639649 [59] validation_0-merror:0.3 validation_0-mlogloss:0.638959 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.637969 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.639568 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.640738 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.639523 [64] validation_0-merror:0.3 validation_0-mlogloss:0.640112 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.638278 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.637969 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05311 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01885 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.992598 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963711 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.955762 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92949 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907253 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888908 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.870912 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852863 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837986 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.822022 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808796 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800453 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791104 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784348 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775449 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765664 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759674 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753048 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74705 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742248 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731139 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726212 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71744 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711483 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.703716 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700678 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699181 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694558 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689932 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685537 [32] validation_0-merror:0.3 validation_0-mlogloss:0.6816 [33] validation_0-merror:0.3 validation_0-mlogloss:0.678488 [34] validation_0-merror:0.3 validation_0-mlogloss:0.675793 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.673497 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.670505 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.672231 [38] validation_0-merror:0.3 validation_0-mlogloss:0.67395 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.670725 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.669712 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.668836 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.666519 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665513 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.661701 [45] validation_0-merror:0.3 validation_0-mlogloss:0.657446 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.654352 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.652601 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.648702 [49] validation_0-merror:0.3 validation_0-mlogloss:0.649092 [50] validation_0-merror:0.3 validation_0-mlogloss:0.646589 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.648674 [52] validation_0-merror:0.3 validation_0-mlogloss:0.647077 [53] validation_0-merror:0.3 validation_0-mlogloss:0.650416 [54] validation_0-merror:0.3 validation_0-mlogloss:0.6498 [55] validation_0-merror:0.3 validation_0-mlogloss:0.648625 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.646589 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06436 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03498 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00474 [3] validation_0-merror:0.35 validation_0-mlogloss:0.977448 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950586 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928184 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911826 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897473 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877119 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862255 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851481 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842978 [12] validation_0-merror:0.35 validation_0-mlogloss:0.833991 [13] validation_0-merror:0.35 validation_0-mlogloss:0.825145 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816101 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806424 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803528 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800011 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792003 [19] validation_0-merror:0.35 validation_0-mlogloss:0.788606 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781697 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779794 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775061 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768523 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766787 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76186 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754883 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755057 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750839 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748537 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745751 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.746315 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.742896 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.738189 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.739075 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.735372 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.734133 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734398 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.732442 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.730606 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.72997 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.730974 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.731319 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.72742 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.726283 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.722045 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.721629 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.723828 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.719542 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.721147 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.7212 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.722078 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.725378 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.72611 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.719542 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06927 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04484 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01227 [3] validation_0-merror:0.4 validation_0-mlogloss:0.989261 [4] validation_0-merror:0.4 validation_0-mlogloss:0.966157 [5] validation_0-merror:0.35 validation_0-mlogloss:0.945555 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927595 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911985 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.888518 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.872628 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.859343 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.846182 [12] validation_0-merror:0.3 validation_0-mlogloss:0.833666 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.823379 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811649 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803147 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.796987 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786416 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.775608 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768506 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765981 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761943 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.753811 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747617 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.739812 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735223 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.731715 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.726587 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.719868 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.713754 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.708035 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.704383 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.698305 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699238 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.693849 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.690844 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.686488 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.68191 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.679442 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.678049 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.673382 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.672848 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.67128 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.668837 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.670267 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.667733 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.663902 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.663381 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.663133 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.666056 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.664233 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.662549 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.661411 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.663718 [54] validation_0-merror:0.3 validation_0-mlogloss:0.665012 [55] validation_0-merror:0.3 validation_0-mlogloss:0.664085 [56] validation_0-merror:0.3 validation_0-mlogloss:0.661599 [57] validation_0-merror:0.3 validation_0-mlogloss:0.659228 [58] validation_0-merror:0.3 validation_0-mlogloss:0.657885 [59] validation_0-merror:0.3 validation_0-mlogloss:0.656078 [60] validation_0-merror:0.3 validation_0-mlogloss:0.652849 [61] validation_0-merror:0.3 validation_0-mlogloss:0.652822 [62] validation_0-merror:0.3 validation_0-mlogloss:0.654191 [63] validation_0-merror:0.3 validation_0-mlogloss:0.655172 [64] validation_0-merror:0.3 validation_0-mlogloss:0.6573 [65] validation_0-merror:0.3 validation_0-mlogloss:0.65421 [66] validation_0-merror:0.3 validation_0-mlogloss:0.654963 Stopping. Best iteration: [61] validation_0-merror:0.3 validation_0-mlogloss:0.652822 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02388 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993694 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971091 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941685 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917691 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901805 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891206 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876815 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.862697 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849365 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836425 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.823201 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809679 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800039 [15] validation_0-merror:0.3 validation_0-mlogloss:0.787552 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779846 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769921 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760579 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751252 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744024 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73945 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732672 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728942 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.7258 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719367 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716479 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713891 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.712674 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707038 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703757 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699116 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699459 [33] validation_0-merror:0.3 validation_0-mlogloss:0.695496 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.694723 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692621 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.690052 [37] validation_0-merror:0.3 validation_0-mlogloss:0.684834 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685855 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.68449 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.682486 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680147 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678209 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679303 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.679858 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.680142 [46] validation_0-merror:0.3 validation_0-mlogloss:0.679198 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.679866 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.678209 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03236 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00658 [3] validation_0-merror:0.4 validation_0-mlogloss:0.987164 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961933 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.936319 [6] validation_0-merror:0.35 validation_0-mlogloss:0.921773 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911462 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897597 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.883928 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870461 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.855328 [12] validation_0-merror:0.35 validation_0-mlogloss:0.840956 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.82818 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.820229 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.816029 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.807904 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.801635 [18] validation_0-merror:0.4 validation_0-mlogloss:0.795743 [19] validation_0-merror:0.4 validation_0-mlogloss:0.787386 [20] validation_0-merror:0.4 validation_0-mlogloss:0.780968 [21] validation_0-merror:0.4 validation_0-mlogloss:0.778231 [22] validation_0-merror:0.4 validation_0-mlogloss:0.775437 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.771083 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767382 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763189 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.75918 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755901 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750287 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.750289 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749956 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751386 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746664 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744585 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.739597 [35] validation_0-merror:0.35 validation_0-mlogloss:0.735475 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738389 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.737804 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.7347 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.733051 [40] validation_0-merror:0.35 validation_0-mlogloss:0.732177 [41] validation_0-merror:0.35 validation_0-mlogloss:0.729226 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.727399 [43] validation_0-merror:0.35 validation_0-mlogloss:0.727282 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.726474 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.724959 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.727697 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.725248 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.725718 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.726423 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.724835 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.724236 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.724734 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.725044 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.725408 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.723988 [56] validation_0-merror:0.366667 validation_0-mlogloss:0.722755 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.724456 [58] validation_0-merror:0.366667 validation_0-mlogloss:0.726253 [59] validation_0-merror:0.366667 validation_0-mlogloss:0.728078 [60] validation_0-merror:0.366667 validation_0-mlogloss:0.726658 [61] validation_0-merror:0.366667 validation_0-mlogloss:0.728957 Stopping. Best iteration: [56] validation_0-merror:0.366667 validation_0-mlogloss:0.722755 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04155 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01652 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00152 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.985254 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.961206 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.946625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.935051 [8] validation_0-merror:0.35 validation_0-mlogloss:0.917601 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.902844 [10] validation_0-merror:0.35 validation_0-mlogloss:0.883265 [11] validation_0-merror:0.35 validation_0-mlogloss:0.869177 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.851817 [13] validation_0-merror:0.4 validation_0-mlogloss:0.840563 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.828559 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818052 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805119 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797428 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794977 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783453 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771534 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767191 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759842 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.753287 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746633 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.740923 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.731265 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727047 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.720688 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716101 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711289 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708427 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703502 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698353 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.695013 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.693074 [36] validation_0-merror:0.3 validation_0-mlogloss:0.689272 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688025 [38] validation_0-merror:0.3 validation_0-mlogloss:0.684075 [39] validation_0-merror:0.3 validation_0-mlogloss:0.68166 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677442 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.673482 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671335 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66863 [44] validation_0-merror:0.3 validation_0-mlogloss:0.666135 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.662016 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660885 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.657259 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.653505 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.652139 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.650233 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.648482 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.647069 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.647683 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.646304 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.647684 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.644767 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.644529 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.643506 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.643826 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.642472 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.641591 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.641861 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.641563 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.640908 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.637983 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.63624 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.634733 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.632943 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.63353 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.633992 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.633656 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.634879 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.633068 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.632943 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02446 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00217 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.973142 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.964632 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.945893 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.930104 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.912127 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.894486 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.878819 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866834 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.852132 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839267 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.829799 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817777 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.81258 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.79995 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786855 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78196 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773787 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764565 [21] validation_0-merror:0.3 validation_0-mlogloss:0.758758 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.752028 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.745435 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734316 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728993 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.717499 [27] validation_0-merror:0.3 validation_0-mlogloss:0.710875 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705663 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.699153 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.694294 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.69158 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686736 [33] validation_0-merror:0.3 validation_0-mlogloss:0.682437 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681288 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.678619 [36] validation_0-merror:0.3 validation_0-mlogloss:0.677137 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67388 [38] validation_0-merror:0.3 validation_0-mlogloss:0.670913 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668144 [40] validation_0-merror:0.3 validation_0-mlogloss:0.668303 [41] validation_0-merror:0.3 validation_0-mlogloss:0.668821 [42] validation_0-merror:0.3 validation_0-mlogloss:0.663833 [43] validation_0-merror:0.3 validation_0-mlogloss:0.662737 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65941 [45] validation_0-merror:0.3 validation_0-mlogloss:0.654981 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.653026 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.650544 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.645181 [49] validation_0-merror:0.25 validation_0-mlogloss:0.64697 [50] validation_0-merror:0.3 validation_0-mlogloss:0.644077 [51] validation_0-merror:0.3 validation_0-mlogloss:0.646045 [52] validation_0-merror:0.3 validation_0-mlogloss:0.647167 [53] validation_0-merror:0.3 validation_0-mlogloss:0.650047 [54] validation_0-merror:0.3 validation_0-mlogloss:0.649304 [55] validation_0-merror:0.3 validation_0-mlogloss:0.647749 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.644077 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.04018 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00432 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983836 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955606 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935842 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915558 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898718 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879463 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861796 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845042 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832802 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82647 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815794 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809887 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800756 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794753 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788388 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784622 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77683 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774159 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766586 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765001 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761444 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.758901 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755808 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752951 [27] validation_0-merror:0.35 validation_0-mlogloss:0.750171 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747869 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.746817 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746249 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.742513 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741184 [33] validation_0-merror:0.35 validation_0-mlogloss:0.738068 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.741498 [35] validation_0-merror:0.35 validation_0-mlogloss:0.743477 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738079 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738536 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.736754 [39] validation_0-merror:0.35 validation_0-mlogloss:0.735318 [40] validation_0-merror:0.35 validation_0-mlogloss:0.733402 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.731586 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.729524 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.726412 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.72553 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.727446 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.731065 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.726179 [48] validation_0-merror:0.35 validation_0-mlogloss:0.727089 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.732767 Stopping. Best iteration: [44] validation_0-merror:0.333333 validation_0-mlogloss:0.72553 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06946 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04373 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00771 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.990488 [4] validation_0-merror:0.35 validation_0-mlogloss:0.962146 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938137 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.920052 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903523 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884604 [9] validation_0-merror:0.35 validation_0-mlogloss:0.87072 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.84937 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836226 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821982 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.803616 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.788419 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.785436 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.776636 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.772554 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.760674 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.754332 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748798 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739901 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733387 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725797 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724366 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.720857 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.712213 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705375 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.698924 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694892 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688045 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.68397 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.679727 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.679959 [34] validation_0-merror:0.3 validation_0-mlogloss:0.677418 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678678 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671071 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669841 [38] validation_0-merror:0.3 validation_0-mlogloss:0.668546 [39] validation_0-merror:0.3 validation_0-mlogloss:0.666598 [40] validation_0-merror:0.3 validation_0-mlogloss:0.66292 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.657349 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.659717 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.654303 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.651504 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.650251 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.654428 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.653144 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.651367 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.651615 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651878 Stopping. Best iteration: [45] validation_0-merror:0.266667 validation_0-mlogloss:0.650251 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01811 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.991785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962936 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954953 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928744 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.906494 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889361 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.870795 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852724 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837822 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.823357 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810308 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801868 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791533 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784683 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775814 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765977 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759557 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753095 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745264 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739264 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728097 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.724305 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715918 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709294 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7013 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698843 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695854 [29] validation_0-merror:0.3 validation_0-mlogloss:0.691933 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.686015 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.680608 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.673027 [33] validation_0-merror:0.25 validation_0-mlogloss:0.670061 [34] validation_0-merror:0.25 validation_0-mlogloss:0.667225 [35] validation_0-merror:0.25 validation_0-mlogloss:0.664296 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.660165 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.661607 [38] validation_0-merror:0.25 validation_0-mlogloss:0.663487 [39] validation_0-merror:0.25 validation_0-mlogloss:0.660474 [40] validation_0-merror:0.25 validation_0-mlogloss:0.661182 [41] validation_0-merror:0.25 validation_0-mlogloss:0.660191 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.660165 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06455 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03512 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00429 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976806 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950598 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927673 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911164 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897082 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876832 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861863 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851132 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842718 [12] validation_0-merror:0.35 validation_0-mlogloss:0.833786 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824993 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815916 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806832 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803901 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799899 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791073 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787379 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.780265 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776541 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772028 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765964 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.764413 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759397 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752306 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.752583 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.751156 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.74877 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.748556 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748895 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.745345 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.740353 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.741966 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.740136 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.739333 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.739277 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738025 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.73701 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.735419 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.737422 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.737301 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735243 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.734007 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.732998 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.731638 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.733777 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.729557 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.733057 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.734625 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.736295 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.737389 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.737858 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.729557 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.0415 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00898 [3] validation_0-merror:0.4 validation_0-mlogloss:0.984519 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961464 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.942425 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.924767 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910639 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889381 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873305 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.860233 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84799 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.834774 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824476 [14] validation_0-merror:0.35 validation_0-mlogloss:0.812537 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804229 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79811 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789947 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.780565 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77346 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772524 [21] validation_0-merror:0.35 validation_0-mlogloss:0.770789 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.76403 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755445 [24] validation_0-merror:0.35 validation_0-mlogloss:0.74736 [25] validation_0-merror:0.35 validation_0-mlogloss:0.74261 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.736506 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731585 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724457 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.718383 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.714498 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.710814 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.704508 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.704524 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.699104 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.697049 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.692672 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687549 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.68474 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.68237 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.679187 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.679075 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.676175 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.67453 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.674961 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.673783 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.66971 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.669557 [48] validation_0-merror:0.3 validation_0-mlogloss:0.66906 [49] validation_0-merror:0.3 validation_0-mlogloss:0.671191 [50] validation_0-merror:0.3 validation_0-mlogloss:0.668118 [51] validation_0-merror:0.3 validation_0-mlogloss:0.66389 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662301 [53] validation_0-merror:0.3 validation_0-mlogloss:0.662311 [54] validation_0-merror:0.3 validation_0-mlogloss:0.663588 [55] validation_0-merror:0.3 validation_0-mlogloss:0.662232 [56] validation_0-merror:0.3 validation_0-mlogloss:0.66015 [57] validation_0-merror:0.3 validation_0-mlogloss:0.657004 [58] validation_0-merror:0.3 validation_0-mlogloss:0.655127 [59] validation_0-merror:0.3 validation_0-mlogloss:0.652566 [60] validation_0-merror:0.3 validation_0-mlogloss:0.649633 [61] validation_0-merror:0.3 validation_0-mlogloss:0.649594 [62] validation_0-merror:0.3 validation_0-mlogloss:0.649369 [63] validation_0-merror:0.3 validation_0-mlogloss:0.650458 [64] validation_0-merror:0.3 validation_0-mlogloss:0.651654 [65] validation_0-merror:0.3 validation_0-mlogloss:0.648476 [66] validation_0-merror:0.3 validation_0-mlogloss:0.648913 [67] validation_0-merror:0.3 validation_0-mlogloss:0.647937 [68] validation_0-merror:0.3 validation_0-mlogloss:0.649237 [69] validation_0-merror:0.3 validation_0-mlogloss:0.650332 [70] validation_0-merror:0.3 validation_0-mlogloss:0.648509 [71] validation_0-merror:0.3 validation_0-mlogloss:0.648547 [72] validation_0-merror:0.3 validation_0-mlogloss:0.646904 [73] validation_0-merror:0.3 validation_0-mlogloss:0.645791 [74] validation_0-merror:0.3 validation_0-mlogloss:0.642202 [75] validation_0-merror:0.3 validation_0-mlogloss:0.641701 [76] validation_0-merror:0.3 validation_0-mlogloss:0.64589 [77] validation_0-merror:0.3 validation_0-mlogloss:0.64672 [78] validation_0-merror:0.3 validation_0-mlogloss:0.643468 [79] validation_0-merror:0.3 validation_0-mlogloss:0.646123 [80] validation_0-merror:0.3 validation_0-mlogloss:0.646634 Stopping. Best iteration: [75] validation_0-merror:0.3 validation_0-mlogloss:0.641701 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02282 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992666 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970005 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941658 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916665 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901739 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891142 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876759 [9] validation_0-merror:0.3 validation_0-mlogloss:0.86361 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850572 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836952 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82208 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809321 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800045 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788484 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779008 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769377 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76011 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751216 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745277 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740612 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.734544 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.730963 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72763 [25] validation_0-merror:0.3 validation_0-mlogloss:0.722892 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720388 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715764 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714609 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708774 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706044 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701594 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698659 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.695409 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.6958 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695572 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693391 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687023 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687427 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686227 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684959 [41] validation_0-merror:0.3 validation_0-mlogloss:0.682545 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680158 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680473 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680959 [45] validation_0-merror:0.3 validation_0-mlogloss:0.682007 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681174 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.679142 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.678694 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.676643 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.674852 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.675656 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676082 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.675333 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.676535 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.676612 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.674852 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06166 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03198 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0062 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985175 [4] validation_0-merror:0.4 validation_0-mlogloss:0.959569 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93377 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918799 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.907895 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.892856 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.879084 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.865458 [11] validation_0-merror:0.35 validation_0-mlogloss:0.850247 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835004 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.822475 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814632 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.811668 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.802574 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795425 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787499 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779091 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775179 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772351 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767611 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761941 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75726 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.753707 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.753276 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.750138 [28] validation_0-merror:0.35 validation_0-mlogloss:0.746274 [29] validation_0-merror:0.35 validation_0-mlogloss:0.745265 [30] validation_0-merror:0.35 validation_0-mlogloss:0.74467 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.745043 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.739905 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.737223 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.733325 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.729394 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.732356 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.729076 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.726902 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.724815 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.723018 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.722562 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.720143 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.720878 [44] validation_0-merror:0.35 validation_0-mlogloss:0.718786 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.720403 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.721961 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.722983 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.723468 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.723533 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.718786 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07283 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04079 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01534 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00047 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.978458 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954362 [6] validation_0-merror:0.35 validation_0-mlogloss:0.938961 [7] validation_0-merror:0.35 validation_0-mlogloss:0.92735 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.911019 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.894825 [10] validation_0-merror:0.35 validation_0-mlogloss:0.875183 [11] validation_0-merror:0.35 validation_0-mlogloss:0.861061 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847251 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.835401 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.826754 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.818823 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.806534 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797988 [18] validation_0-merror:0.35 validation_0-mlogloss:0.790454 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779687 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.771562 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767063 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759744 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75308 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746202 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740903 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732608 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727946 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722646 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.718733 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.715196 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.713629 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708093 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703421 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698113 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694443 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691222 [37] validation_0-merror:0.3 validation_0-mlogloss:0.691567 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688305 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685672 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682668 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679149 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679011 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676595 [44] validation_0-merror:0.3 validation_0-mlogloss:0.674509 [45] validation_0-merror:0.3 validation_0-mlogloss:0.671238 [46] validation_0-merror:0.3 validation_0-mlogloss:0.669794 [47] validation_0-merror:0.3 validation_0-mlogloss:0.668332 [48] validation_0-merror:0.3 validation_0-mlogloss:0.666391 [49] validation_0-merror:0.3 validation_0-mlogloss:0.664861 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662474 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660516 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659146 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.659719 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.658818 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.660184 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.659138 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.658189 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.656556 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.654538 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.651772 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.648488 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.646153 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.647359 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.64825 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.645369 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.64389 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.643442 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.641457 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.642619 [70] validation_0-merror:0.25 validation_0-mlogloss:0.641239 [71] validation_0-merror:0.25 validation_0-mlogloss:0.641948 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.644906 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.642414 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.64128 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.642264 Stopping. Best iteration: [70] validation_0-merror:0.25 validation_0-mlogloss:0.641239 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.05973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03024 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00648 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.978338 [4] validation_0-merror:0.4 validation_0-mlogloss:0.969778 [5] validation_0-merror:0.4 validation_0-mlogloss:0.950449 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.934426 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.916546 [8] validation_0-merror:0.35 validation_0-mlogloss:0.895235 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.879393 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.867109 [11] validation_0-merror:0.35 validation_0-mlogloss:0.852783 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.840077 [13] validation_0-merror:0.35 validation_0-mlogloss:0.831701 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.819748 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.81767 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805264 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793342 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.787716 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779551 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771781 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764276 [22] validation_0-merror:0.3 validation_0-mlogloss:0.756869 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749724 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738525 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736777 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.724287 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716576 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711245 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705574 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701254 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696616 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693062 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.689499 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686344 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682649 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679037 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67381 [38] validation_0-merror:0.3 validation_0-mlogloss:0.671876 [39] validation_0-merror:0.3 validation_0-mlogloss:0.669515 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669941 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670137 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666149 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663744 [44] validation_0-merror:0.3 validation_0-mlogloss:0.66068 [45] validation_0-merror:0.3 validation_0-mlogloss:0.659921 [46] validation_0-merror:0.3 validation_0-mlogloss:0.657436 [47] validation_0-merror:0.3 validation_0-mlogloss:0.655022 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.652588 [49] validation_0-merror:0.25 validation_0-mlogloss:0.655183 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651432 [51] validation_0-merror:0.3 validation_0-mlogloss:0.65264 [52] validation_0-merror:0.3 validation_0-mlogloss:0.653558 [53] validation_0-merror:0.3 validation_0-mlogloss:0.657845 [54] validation_0-merror:0.3 validation_0-mlogloss:0.657894 [55] validation_0-merror:0.3 validation_0-mlogloss:0.656825 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651432 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956897 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936092 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915932 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.899638 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880712 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863892 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848827 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83645 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827431 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819646 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814104 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.804876 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.798786 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794105 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791283 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783149 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779266 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77462 [22] validation_0-merror:0.35 validation_0-mlogloss:0.773031 [23] validation_0-merror:0.35 validation_0-mlogloss:0.769103 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766321 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762591 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759904 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754688 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751104 [29] validation_0-merror:0.35 validation_0-mlogloss:0.750621 [30] validation_0-merror:0.35 validation_0-mlogloss:0.752483 [31] validation_0-merror:0.35 validation_0-mlogloss:0.748909 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747217 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.744325 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.747219 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.748277 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74249 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744846 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.745163 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.744144 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.742419 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.737724 [42] validation_0-merror:0.35 validation_0-mlogloss:0.735699 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.732391 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728279 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.729572 [46] validation_0-merror:0.35 validation_0-mlogloss:0.73051 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.729355 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.732042 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.739936 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728279 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.07332 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04693 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01095 [3] validation_0-merror:0.4 validation_0-mlogloss:0.993766 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.968867 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.944912 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.92803 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911219 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.893107 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.876602 [10] validation_0-merror:0.3 validation_0-mlogloss:0.854885 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840943 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827556 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.812033 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800067 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794537 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784676 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.779681 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767256 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760731 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.755028 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746021 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.739611 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731369 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730381 [25] validation_0-merror:0.3 validation_0-mlogloss:0.727108 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719501 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.714338 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710119 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706413 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698919 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693902 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.68857 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690228 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.687463 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688419 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.68243 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.680092 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678737 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676929 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.674394 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.66868 [42] validation_0-merror:0.3 validation_0-mlogloss:0.67094 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667663 [44] validation_0-merror:0.3 validation_0-mlogloss:0.663748 [45] validation_0-merror:0.3 validation_0-mlogloss:0.662767 [46] validation_0-merror:0.3 validation_0-mlogloss:0.665937 [47] validation_0-merror:0.3 validation_0-mlogloss:0.665648 [48] validation_0-merror:0.3 validation_0-mlogloss:0.663094 [49] validation_0-merror:0.3 validation_0-mlogloss:0.664084 [50] validation_0-merror:0.3 validation_0-mlogloss:0.664308 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.662767 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05261 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01782 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.992705 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964269 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956363 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930167 [6] validation_0-merror:0.35 validation_0-mlogloss:0.909009 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.891659 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.873824 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856992 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84397 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829406 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815523 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80605 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794772 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787837 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779017 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770495 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765578 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754727 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746604 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741885 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73064 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.726097 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.71777 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711134 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702948 [27] validation_0-merror:0.3 validation_0-mlogloss:0.701063 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.697637 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.693526 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688968 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.685451 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.682375 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.680277 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.678552 [35] validation_0-merror:0.25 validation_0-mlogloss:0.673467 [36] validation_0-merror:0.25 validation_0-mlogloss:0.671142 [37] validation_0-merror:0.25 validation_0-mlogloss:0.672293 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.67358 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.666873 [40] validation_0-merror:0.25 validation_0-mlogloss:0.666311 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.665089 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.663413 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.662247 [44] validation_0-merror:0.25 validation_0-mlogloss:0.659626 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.656023 [46] validation_0-merror:0.25 validation_0-mlogloss:0.653628 [47] validation_0-merror:0.25 validation_0-mlogloss:0.650338 [48] validation_0-merror:0.25 validation_0-mlogloss:0.645781 [49] validation_0-merror:0.25 validation_0-mlogloss:0.647602 [50] validation_0-merror:0.25 validation_0-mlogloss:0.646896 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.647551 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.646031 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.647129 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.645781 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06563 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03965 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00866 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982308 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.956028 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.93302 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.916799 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.900406 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879577 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864573 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853735 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845083 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836352 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.826322 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817213 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80809 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805113 [17] validation_0-merror:0.35 validation_0-mlogloss:0.801169 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.793907 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.790543 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.783622 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779841 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775184 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.771238 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.771373 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766208 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759618 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756982 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753038 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750098 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751446 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.75207 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747919 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742784 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744014 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.740247 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.739943 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.741973 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.739737 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.738515 [40] validation_0-merror:0.35 validation_0-mlogloss:0.737289 [41] validation_0-merror:0.35 validation_0-mlogloss:0.738152 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.737672 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738024 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.735199 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737299 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735465 [47] validation_0-merror:0.35 validation_0-mlogloss:0.738258 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.734577 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.737947 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.736599 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.738038 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.739072 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.742384 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.734577 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.0415 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00898 [3] validation_0-merror:0.4 validation_0-mlogloss:0.984519 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961464 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.944493 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.926472 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.91224 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89126 [9] validation_0-merror:0.35 validation_0-mlogloss:0.875219 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861619 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.849633 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.837465 [13] validation_0-merror:0.3 validation_0-mlogloss:0.828751 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816517 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.81001 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804083 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.795925 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786247 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778798 [20] validation_0-merror:0.35 validation_0-mlogloss:0.776566 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.77322 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766436 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758408 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750561 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746155 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740903 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735657 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728608 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722108 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.721664 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.717234 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.711403 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.710958 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.705606 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.704523 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.699163 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.693609 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.690352 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.687734 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.683234 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.683128 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.680324 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.678124 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.678891 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.676356 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.676643 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.675521 [48] validation_0-merror:0.3 validation_0-mlogloss:0.67562 [49] validation_0-merror:0.3 validation_0-mlogloss:0.67746 [50] validation_0-merror:0.3 validation_0-mlogloss:0.675513 [51] validation_0-merror:0.3 validation_0-mlogloss:0.675961 [52] validation_0-merror:0.3 validation_0-mlogloss:0.674848 [53] validation_0-merror:0.3 validation_0-mlogloss:0.675787 [54] validation_0-merror:0.3 validation_0-mlogloss:0.675131 [55] validation_0-merror:0.3 validation_0-mlogloss:0.672872 [56] validation_0-merror:0.3 validation_0-mlogloss:0.670531 [57] validation_0-merror:0.3 validation_0-mlogloss:0.667215 [58] validation_0-merror:0.3 validation_0-mlogloss:0.666707 [59] validation_0-merror:0.3 validation_0-mlogloss:0.666322 [60] validation_0-merror:0.3 validation_0-mlogloss:0.667662 [61] validation_0-merror:0.3 validation_0-mlogloss:0.667123 [62] validation_0-merror:0.3 validation_0-mlogloss:0.669296 [63] validation_0-merror:0.3 validation_0-mlogloss:0.670336 [64] validation_0-merror:0.3 validation_0-mlogloss:0.673315 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.666322 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05742 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02361 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995281 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972261 [4] validation_0-merror:0.35 validation_0-mlogloss:0.946101 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921038 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905887 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895232 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880902 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866831 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.853689 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84114 [12] validation_0-merror:0.3 validation_0-mlogloss:0.828504 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816731 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807499 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795425 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785554 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777391 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.768178 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.760175 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.752758 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748251 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741465 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.736933 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.733847 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.729043 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.726772 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721731 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720604 [29] validation_0-merror:0.3 validation_0-mlogloss:0.714425 [30] validation_0-merror:0.3 validation_0-mlogloss:0.711523 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706356 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703061 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.70048 [34] validation_0-merror:0.3 validation_0-mlogloss:0.69823 [35] validation_0-merror:0.3 validation_0-mlogloss:0.696539 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692788 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686582 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687055 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685251 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.685506 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.683339 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.681256 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.681107 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.683131 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.684123 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.682836 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.681913 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.684318 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.681107 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03459 [2] validation_0-merror:0.4 validation_0-mlogloss:1.01134 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.989289 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963289 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937254 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921988 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.91073 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.895421 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882104 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868325 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.853305 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.839901 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827323 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818544 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807632 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798595 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791623 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787337 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779492 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.775365 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772809 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765857 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760505 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756542 [25] validation_0-merror:0.35 validation_0-mlogloss:0.752465 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.750609 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.749828 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744354 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.741709 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.739931 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.741369 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738695 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.738524 [34] validation_0-merror:0.35 validation_0-mlogloss:0.737088 [35] validation_0-merror:0.35 validation_0-mlogloss:0.738261 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741126 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742437 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.739029 [39] validation_0-merror:0.35 validation_0-mlogloss:0.73695 [40] validation_0-merror:0.35 validation_0-mlogloss:0.739499 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.738012 [42] validation_0-merror:0.35 validation_0-mlogloss:0.738199 [43] validation_0-merror:0.35 validation_0-mlogloss:0.738007 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.737719 Stopping. Best iteration: [39] validation_0-merror:0.35 validation_0-mlogloss:0.73695 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.04022 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0149 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00018 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.978736 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.954018 [6] validation_0-merror:0.35 validation_0-mlogloss:0.939694 [7] validation_0-merror:0.35 validation_0-mlogloss:0.928084 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.910703 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.89453 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.874998 [11] validation_0-merror:0.35 validation_0-mlogloss:0.860886 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.845909 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.833342 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.82323 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816203 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803578 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.795059 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78658 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.776477 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768629 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763839 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756324 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749294 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741289 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.736987 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732433 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729072 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722737 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720701 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.717173 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.710262 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703322 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700182 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694458 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692128 [36] validation_0-merror:0.3 validation_0-mlogloss:0.688651 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688667 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685183 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683594 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679196 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675478 [42] validation_0-merror:0.3 validation_0-mlogloss:0.674405 [43] validation_0-merror:0.3 validation_0-mlogloss:0.672364 [44] validation_0-merror:0.3 validation_0-mlogloss:0.670251 [45] validation_0-merror:0.3 validation_0-mlogloss:0.666466 [46] validation_0-merror:0.3 validation_0-mlogloss:0.665292 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66289 [48] validation_0-merror:0.3 validation_0-mlogloss:0.664183 [49] validation_0-merror:0.3 validation_0-mlogloss:0.662122 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.661933 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660062 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.659362 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.6581 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.657534 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.657339 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.654359 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.652131 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.651031 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.649871 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.646904 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.646635 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.647203 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.646301 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.646372 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.645053 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.641976 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.642964 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.641872 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.63946 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.638722 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.63997 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.642936 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.643688 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.641139 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.642145 Stopping. Best iteration: [70] validation_0-merror:0.266667 validation_0-mlogloss:0.638722 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06182 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00351 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.975276 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.966501 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.942416 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.926359 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909356 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.887792 [9] validation_0-merror:0.35 validation_0-mlogloss:0.871819 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.858266 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.844321 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831637 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818391 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808097 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804101 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791781 [17] validation_0-merror:0.3 validation_0-mlogloss:0.779392 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775155 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769664 [20] validation_0-merror:0.3 validation_0-mlogloss:0.76181 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.755357 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747408 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.742032 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735127 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733845 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723389 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71681 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709715 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703812 [30] validation_0-merror:0.3 validation_0-mlogloss:0.699325 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693668 [32] validation_0-merror:0.3 validation_0-mlogloss:0.690561 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687805 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684531 [35] validation_0-merror:0.3 validation_0-mlogloss:0.681225 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680985 [37] validation_0-merror:0.3 validation_0-mlogloss:0.676749 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675403 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672591 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674332 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671818 [42] validation_0-merror:0.3 validation_0-mlogloss:0.667958 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.666293 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.66372 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.661306 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662006 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.661641 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65816 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.661756 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.658526 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661021 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.660792 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.662413 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65816 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06418 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04058 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00588 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984957 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956375 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936259 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91606 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.899854 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880152 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.86525 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.849749 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837234 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830352 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.821269 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.815336 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.80701 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.801713 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.795353 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791854 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783608 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.779174 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771897 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770842 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766981 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764725 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761034 [26] validation_0-merror:0.35 validation_0-mlogloss:0.758512 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753844 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751567 [29] validation_0-merror:0.35 validation_0-mlogloss:0.750312 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750754 [31] validation_0-merror:0.35 validation_0-mlogloss:0.748156 [32] validation_0-merror:0.35 validation_0-mlogloss:0.74657 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741788 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744615 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.745586 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742147 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.744899 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.745201 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741788 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07077 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04437 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00848 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.991388 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966534 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942885 [6] validation_0-merror:0.35 validation_0-mlogloss:0.925108 [7] validation_0-merror:0.35 validation_0-mlogloss:0.908024 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.890537 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.875232 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.854119 [11] validation_0-merror:0.3 validation_0-mlogloss:0.840074 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826839 [13] validation_0-merror:0.3 validation_0-mlogloss:0.811487 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800646 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795859 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788728 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783141 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774229 [19] validation_0-merror:0.3 validation_0-mlogloss:0.767867 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761379 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.752111 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.745589 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.736537 [24] validation_0-merror:0.3 validation_0-mlogloss:0.737231 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.730885 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.728165 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72198 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.717331 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712179 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708621 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704025 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700726 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701543 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698217 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69871 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692541 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691244 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.68987 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.686909 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.682256 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677864 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681141 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676355 [44] validation_0-merror:0.3 validation_0-mlogloss:0.673772 [45] validation_0-merror:0.3 validation_0-mlogloss:0.670661 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.673711 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673336 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.672789 [49] validation_0-merror:0.3 validation_0-mlogloss:0.673942 [50] validation_0-merror:0.3 validation_0-mlogloss:0.6739 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.670661 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01957 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99458 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966839 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958943 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932493 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.909074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891507 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.874735 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857595 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842959 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827687 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81506 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794901 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788836 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778313 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770196 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764693 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758035 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748977 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744502 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733104 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727952 [24] validation_0-merror:0.3 validation_0-mlogloss:0.7211 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715231 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.709676 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.707309 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703767 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700498 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697376 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692866 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688654 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.685461 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.683139 [35] validation_0-merror:0.25 validation_0-mlogloss:0.67933 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.67757 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.6777 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.679333 [39] validation_0-merror:0.25 validation_0-mlogloss:0.67389 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.673471 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.672343 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.673525 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.671801 [44] validation_0-merror:0.25 validation_0-mlogloss:0.668784 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664927 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662253 [47] validation_0-merror:0.3 validation_0-mlogloss:0.658943 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.655126 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.657185 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.654859 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.655387 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650551 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.654023 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.653602 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.653239 [56] validation_0-merror:0.3 validation_0-mlogloss:0.653347 [57] validation_0-merror:0.3 validation_0-mlogloss:0.651621 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650551 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06219 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03721 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00749 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980592 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95304 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930459 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914669 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.898698 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.878013 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864126 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853252 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845147 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836839 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827212 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818119 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80953 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.806416 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.801543 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794571 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.791224 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781507 [21] validation_0-merror:0.35 validation_0-mlogloss:0.775758 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.77091 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766874 [24] validation_0-merror:0.35 validation_0-mlogloss:0.766992 [25] validation_0-merror:0.35 validation_0-mlogloss:0.762356 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755964 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756494 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752383 [29] validation_0-merror:0.35 validation_0-mlogloss:0.749599 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749976 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750139 [32] validation_0-merror:0.35 validation_0-mlogloss:0.747793 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742682 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743537 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739667 [36] validation_0-merror:0.35 validation_0-mlogloss:0.737361 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.738091 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.735932 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.737374 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.736119 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.737002 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.736698 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.737451 Stopping. Best iteration: [38] validation_0-merror:0.366667 validation_0-mlogloss:0.735932 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.07074 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04268 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.01113 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.986443 [4] validation_0-merror:0.35 validation_0-mlogloss:0.9635 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942631 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.924931 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911014 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.89507 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879087 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.866021 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.854658 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.841446 [13] validation_0-merror:0.3 validation_0-mlogloss:0.833315 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820971 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.813965 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.808042 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799928 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790217 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78111 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777435 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774132 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767162 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760435 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755676 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749554 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745624 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739739 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732835 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.7249 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724661 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.721392 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714234 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.713861 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.708759 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.706351 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702406 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.699319 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.696032 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.694785 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.690154 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.689877 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.688767 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686938 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688772 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.685207 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.683204 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.681023 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.678929 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682717 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680924 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679981 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.67946 [53] validation_0-merror:0.3 validation_0-mlogloss:0.678843 [54] validation_0-merror:0.3 validation_0-mlogloss:0.680482 [55] validation_0-merror:0.3 validation_0-mlogloss:0.678242 [56] validation_0-merror:0.3 validation_0-mlogloss:0.674558 [57] validation_0-merror:0.3 validation_0-mlogloss:0.672691 [58] validation_0-merror:0.3 validation_0-mlogloss:0.672137 [59] validation_0-merror:0.3 validation_0-mlogloss:0.673833 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.6706 [61] validation_0-merror:0.3 validation_0-mlogloss:0.673291 [62] validation_0-merror:0.3 validation_0-mlogloss:0.673949 [63] validation_0-merror:0.3 validation_0-mlogloss:0.674412 [64] validation_0-merror:0.3 validation_0-mlogloss:0.675963 [65] validation_0-merror:0.3 validation_0-mlogloss:0.671641 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.6706 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0299 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00147 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978421 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.952876 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926264 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91106 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.901847 [8] validation_0-merror:0.3 validation_0-mlogloss:0.886151 [9] validation_0-merror:0.3 validation_0-mlogloss:0.871497 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858434 [11] validation_0-merror:0.3 validation_0-mlogloss:0.843157 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827659 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812325 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.803475 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792022 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.78491 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774966 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764588 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757645 [20] validation_0-merror:0.3 validation_0-mlogloss:0.751164 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745839 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738279 [23] validation_0-merror:0.3 validation_0-mlogloss:0.733877 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730366 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723974 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723076 [27] validation_0-merror:0.3 validation_0-mlogloss:0.718202 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71531 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707801 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705638 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699664 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698023 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696471 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692633 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692028 [36] validation_0-merror:0.3 validation_0-mlogloss:0.689832 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.685562 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.684478 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683482 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684434 [41] validation_0-merror:0.3 validation_0-mlogloss:0.682504 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682366 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.684452 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.687021 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687612 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682935 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.683968 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682366 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0377 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01477 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.993513 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.968026 [5] validation_0-merror:0.35 validation_0-mlogloss:0.942017 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927181 [7] validation_0-merror:0.4 validation_0-mlogloss:0.916398 [8] validation_0-merror:0.4 validation_0-mlogloss:0.901196 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.888101 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.874158 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.858222 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.843558 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.831606 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.822384 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.81331 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803503 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796879 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792089 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.784355 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.779541 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777231 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770097 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.767651 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763135 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759665 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755011 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754165 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751525 [29] validation_0-merror:0.35 validation_0-mlogloss:0.748923 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.747326 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743431 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741109 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.740644 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738551 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738902 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741632 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.743478 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.741722 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.737817 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.738404 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.739336 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.737631 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738939 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.737819 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737258 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.741876 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.74192 [48] validation_0-merror:0.35 validation_0-mlogloss:0.744696 [49] validation_0-merror:0.35 validation_0-mlogloss:0.744026 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.743955 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737258 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.933495 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.916115 [9] validation_0-merror:0.4 validation_0-mlogloss:0.899928 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880328 [11] validation_0-merror:0.35 validation_0-mlogloss:0.866158 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.849204 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.836497 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.827422 [15] validation_0-merror:0.35 validation_0-mlogloss:0.822516 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809832 [17] validation_0-merror:0.35 validation_0-mlogloss:0.80089 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791305 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.781299 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773645 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.768721 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761382 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.754369 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746563 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74395 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.738329 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.733092 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725925 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720725 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.715948 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712857 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709294 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.706173 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70292 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.700183 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696557 [37] validation_0-merror:0.3 validation_0-mlogloss:0.695265 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691851 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690943 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686767 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684329 [42] validation_0-merror:0.3 validation_0-mlogloss:0.683188 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681124 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680605 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676809 [46] validation_0-merror:0.3 validation_0-mlogloss:0.676551 [47] validation_0-merror:0.3 validation_0-mlogloss:0.674952 [48] validation_0-merror:0.3 validation_0-mlogloss:0.674289 [49] validation_0-merror:0.3 validation_0-mlogloss:0.67295 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.671999 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.668943 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.667741 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.665542 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.666084 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.664895 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.662727 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.66332 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.661182 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.660757 [60] validation_0-merror:0.25 validation_0-mlogloss:0.656693 [61] validation_0-merror:0.25 validation_0-mlogloss:0.657584 [62] validation_0-merror:0.25 validation_0-mlogloss:0.655796 [63] validation_0-merror:0.25 validation_0-mlogloss:0.658813 [64] validation_0-merror:0.25 validation_0-mlogloss:0.659065 [65] validation_0-merror:0.25 validation_0-mlogloss:0.656011 [66] validation_0-merror:0.25 validation_0-mlogloss:0.656383 [67] validation_0-merror:0.25 validation_0-mlogloss:0.656934 Stopping. Best iteration: [62] validation_0-merror:0.25 validation_0-mlogloss:0.655796 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05485 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02649 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999197 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970188 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961305 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938168 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.922181 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905324 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.883922 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86599 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851884 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837946 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825269 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.81426 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.804154 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800452 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788741 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776403 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.772601 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76784 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761624 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754147 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749513 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744955 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736904 [25] validation_0-merror:0.3 validation_0-mlogloss:0.735341 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.724701 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.718524 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.711743 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70884 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.703708 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699149 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.696903 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694386 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691945 [35] validation_0-merror:0.3 validation_0-mlogloss:0.688187 [36] validation_0-merror:0.3 validation_0-mlogloss:0.685278 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685653 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688949 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685315 [40] validation_0-merror:0.3 validation_0-mlogloss:0.687861 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686621 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.685278 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04031 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984669 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956879 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936502 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.916002 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898781 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878871 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861852 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845744 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833852 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82705 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816185 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811505 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802492 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797296 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790883 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78657 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77817 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774361 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.767878 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766691 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762644 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760571 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758303 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755999 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.751748 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748818 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747748 [30] validation_0-merror:0.35 validation_0-mlogloss:0.747182 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743061 [32] validation_0-merror:0.35 validation_0-mlogloss:0.742088 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74116 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744369 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.742582 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.740669 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742853 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.743393 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.743524 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.742912 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.738222 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.738864 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.736946 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.738276 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.734607 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.735096 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.731234 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.731669 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.732145 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.729413 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.733187 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.734811 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.736912 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.74463 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.741764 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.729413 [0] validation_0-merror:0.45 validation_0-mlogloss:1.07103 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0439 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00815 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.990923 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966127 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942377 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.924833 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907777 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.889563 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.874179 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853269 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.83953 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.824449 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808925 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798021 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.793356 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785666 [17] validation_0-merror:0.3 validation_0-mlogloss:0.780772 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774136 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.769273 [20] validation_0-merror:0.3 validation_0-mlogloss:0.76562 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757134 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755172 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749821 [24] validation_0-merror:0.3 validation_0-mlogloss:0.750654 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746864 [26] validation_0-merror:0.35 validation_0-mlogloss:0.741133 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734441 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729648 [29] validation_0-merror:0.35 validation_0-mlogloss:0.724918 [30] validation_0-merror:0.35 validation_0-mlogloss:0.724417 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.719907 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.716894 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.716418 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.712862 [35] validation_0-merror:0.35 validation_0-mlogloss:0.711306 [36] validation_0-merror:0.35 validation_0-mlogloss:0.706648 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.705492 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.704071 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.701235 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.696074 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.692457 [42] validation_0-merror:0.35 validation_0-mlogloss:0.694533 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.690112 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.685603 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.680426 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.681228 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.683047 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.681027 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.68266 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.67875 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.676824 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672309 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.671359 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675325 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673921 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.675878 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.674675 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.672933 Stopping. Best iteration: [53] validation_0-merror:0.316667 validation_0-mlogloss:0.671359 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05462 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.02132 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99444 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.958751 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932981 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911333 [7] validation_0-merror:0.3 validation_0-mlogloss:0.893442 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876294 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859457 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844342 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829263 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818005 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810295 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798599 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792231 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781296 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771773 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765127 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76011 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751493 [21] validation_0-merror:0.3 validation_0-mlogloss:0.746849 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734956 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.72887 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719716 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.713147 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70639 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704219 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700686 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699853 [30] validation_0-merror:0.3 validation_0-mlogloss:0.697568 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694167 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688263 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.684856 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682913 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.678365 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.675816 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.67541 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.676776 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.670011 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.669596 [42] validation_0-merror:0.3 validation_0-mlogloss:0.669738 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668301 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665581 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664941 [46] validation_0-merror:0.3 validation_0-mlogloss:0.663441 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662333 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.659705 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.661261 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.660362 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.662458 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.660502 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.664299 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.659705 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06212 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03714 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00786 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980917 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.954327 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932207 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.899927 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879033 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865045 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853749 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.844314 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836312 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827315 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.81905 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.808865 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80562 [17] validation_0-merror:0.4 validation_0-mlogloss:0.799848 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792852 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789445 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77979 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774691 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770096 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766237 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766146 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761482 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755147 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754411 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749508 [29] validation_0-merror:0.35 validation_0-mlogloss:0.745535 [30] validation_0-merror:0.35 validation_0-mlogloss:0.744509 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744002 [32] validation_0-merror:0.35 validation_0-mlogloss:0.741465 [33] validation_0-merror:0.35 validation_0-mlogloss:0.74421 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743812 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.739826 [36] validation_0-merror:0.35 validation_0-mlogloss:0.739881 [37] validation_0-merror:0.35 validation_0-mlogloss:0.739877 [38] validation_0-merror:0.35 validation_0-mlogloss:0.738018 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.73834 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.737086 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.738055 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.73776 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.739034 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.737195 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.739182 Stopping. Best iteration: [40] validation_0-merror:0.383333 validation_0-mlogloss:0.737086 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04072 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00836 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.98375 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961685 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.945778 [6] validation_0-merror:0.35 validation_0-mlogloss:0.927986 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.914023 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.898275 [9] validation_0-merror:0.35 validation_0-mlogloss:0.879524 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867025 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854732 [12] validation_0-merror:0.3 validation_0-mlogloss:0.841713 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.833765 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.821563 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.814607 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809451 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801387 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792285 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78469 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781119 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777866 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770889 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.764652 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76233 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755416 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751542 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746117 [28] validation_0-merror:0.35 validation_0-mlogloss:0.739113 [29] validation_0-merror:0.35 validation_0-mlogloss:0.734549 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736875 [31] validation_0-merror:0.35 validation_0-mlogloss:0.732408 [32] validation_0-merror:0.35 validation_0-mlogloss:0.725361 [33] validation_0-merror:0.35 validation_0-mlogloss:0.727326 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720576 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.717132 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.714247 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.710123 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.706025 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.705365 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.700766 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.700379 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.69983 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.701317 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.702674 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.69864 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.697539 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.696166 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.696569 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.701422 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.697346 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.698753 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.696916 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.696166 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02869 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0001 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.977695 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952691 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925981 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910867 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.901116 [8] validation_0-merror:0.3 validation_0-mlogloss:0.885448 [9] validation_0-merror:0.3 validation_0-mlogloss:0.870899 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857776 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841435 [12] validation_0-merror:0.3 validation_0-mlogloss:0.827347 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.814743 [14] validation_0-merror:0.3 validation_0-mlogloss:0.805963 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795847 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786737 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.779378 [18] validation_0-merror:0.3 validation_0-mlogloss:0.768817 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758941 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.751981 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746253 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739875 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73426 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731035 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726143 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723037 [27] validation_0-merror:0.3 validation_0-mlogloss:0.718489 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.716985 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712813 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.709704 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705935 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.704634 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.703183 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700207 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.700125 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697752 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692378 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693112 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691125 [40] validation_0-merror:0.3 validation_0-mlogloss:0.69273 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691563 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69116 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688226 [44] validation_0-merror:0.3 validation_0-mlogloss:0.690005 [45] validation_0-merror:0.3 validation_0-mlogloss:0.688007 [46] validation_0-merror:0.3 validation_0-mlogloss:0.686185 [47] validation_0-merror:0.3 validation_0-mlogloss:0.688134 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688774 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.686815 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.685354 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.684912 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.680937 [53] validation_0-merror:0.3 validation_0-mlogloss:0.6805 [54] validation_0-merror:0.3 validation_0-mlogloss:0.680643 [55] validation_0-merror:0.3 validation_0-mlogloss:0.679823 [56] validation_0-merror:0.3 validation_0-mlogloss:0.67975 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.678003 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.676767 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.677196 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.676167 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.675977 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.674782 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.674993 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.674647 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.673412 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.674031 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.676189 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.673414 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.673811 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.67225 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.672622 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.669983 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.669909 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.66773 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.668622 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.669483 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.670789 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.670578 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.669806 Stopping. Best iteration: [74] validation_0-merror:0.283333 validation_0-mlogloss:0.66773 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06302 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03594 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.01207 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.991244 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.96499 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938885 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.923997 [7] validation_0-merror:0.35 validation_0-mlogloss:0.913484 [8] validation_0-merror:0.4 validation_0-mlogloss:0.898258 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.884081 [10] validation_0-merror:0.4 validation_0-mlogloss:0.870167 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854785 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.840133 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827171 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817881 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809997 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800368 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79371 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.789788 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.782757 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.778764 [21] validation_0-merror:0.35 validation_0-mlogloss:0.776161 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769629 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766218 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760876 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757775 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754052 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753331 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749475 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746853 [30] validation_0-merror:0.35 validation_0-mlogloss:0.745442 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.745586 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.742182 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741281 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738342 [35] validation_0-merror:0.35 validation_0-mlogloss:0.73727 [36] validation_0-merror:0.35 validation_0-mlogloss:0.740282 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738607 [38] validation_0-merror:0.35 validation_0-mlogloss:0.737932 [39] validation_0-merror:0.35 validation_0-mlogloss:0.737045 [40] validation_0-merror:0.35 validation_0-mlogloss:0.737796 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.736235 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.735221 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735783 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.736553 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.737988 [46] validation_0-merror:0.35 validation_0-mlogloss:0.738389 [47] validation_0-merror:0.35 validation_0-mlogloss:0.736653 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.735221 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04312 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.01763 [3] validation_0-merror:0.416667 validation_0-mlogloss:1.00282 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.984833 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.959738 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.945415 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.934348 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.917271 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.899667 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880132 [11] validation_0-merror:0.35 validation_0-mlogloss:0.866026 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.84955 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.83842 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.826577 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.821617 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809055 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799578 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789791 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780706 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772695 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.768225 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763208 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757766 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749191 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746001 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740164 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736555 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.732078 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.729865 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724166 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722113 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.718296 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715658 [34] validation_0-merror:0.3 validation_0-mlogloss:0.710035 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705359 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701903 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698649 [38] validation_0-merror:0.3 validation_0-mlogloss:0.695453 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.69323 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689284 [41] validation_0-merror:0.3 validation_0-mlogloss:0.6878 [42] validation_0-merror:0.3 validation_0-mlogloss:0.68451 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681968 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679397 [45] validation_0-merror:0.3 validation_0-mlogloss:0.677325 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67644 [47] validation_0-merror:0.3 validation_0-mlogloss:0.674494 [48] validation_0-merror:0.3 validation_0-mlogloss:0.67404 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674843 [50] validation_0-merror:0.3 validation_0-mlogloss:0.671611 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672921 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.673176 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.670639 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.670401 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.671054 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.67119 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.669503 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.668104 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.666942 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.664444 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.664505 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.663877 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.664578 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.665587 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.664453 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.662435 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.662286 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.659651 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.662985 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.663511 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.664748 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.66546 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.666092 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.659651 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0233 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995614 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.962591 [4] validation_0-merror:0.4 validation_0-mlogloss:0.9541 [5] validation_0-merror:0.35 validation_0-mlogloss:0.928858 [6] validation_0-merror:0.35 validation_0-mlogloss:0.909052 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.893497 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87577 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856235 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.84349 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.83101 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816165 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806826 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801279 [15] validation_0-merror:0.3 validation_0-mlogloss:0.80021 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787223 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77795 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771087 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76545 [20] validation_0-merror:0.3 validation_0-mlogloss:0.75484 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746139 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737503 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729232 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723113 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.722656 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.710425 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.704715 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701474 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693946 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.68546 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.680901 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.677113 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.67147 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.670656 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.668116 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.665328 [37] validation_0-merror:0.3 validation_0-mlogloss:0.658064 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.65847 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.652849 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.6554 [41] validation_0-merror:0.3 validation_0-mlogloss:0.656685 [42] validation_0-merror:0.3 validation_0-mlogloss:0.654221 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.652781 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.651744 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.650165 [46] validation_0-merror:0.3 validation_0-mlogloss:0.646046 [47] validation_0-merror:0.3 validation_0-mlogloss:0.64454 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.646148 [49] validation_0-merror:0.3 validation_0-mlogloss:0.648401 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.647331 [51] validation_0-merror:0.3 validation_0-mlogloss:0.649179 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.648588 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.64454 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05977 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03521 [2] validation_0-merror:0.3 validation_0-mlogloss:0.995366 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.970362 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937073 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914262 [6] validation_0-merror:0.3 validation_0-mlogloss:0.892475 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875008 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856394 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841365 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.827344 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811428 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.806994 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798521 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781202 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.77792 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776843 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775165 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767633 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.769325 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763098 [22] validation_0-merror:0.35 validation_0-mlogloss:0.76242 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758708 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761256 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760075 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755788 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753468 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748499 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.746387 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745989 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.746504 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748928 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.748874 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.75441 [35] validation_0-merror:0.35 validation_0-mlogloss:0.750293 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745989 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05905 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.03382 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.99241 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968313 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932902 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908628 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89683 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883877 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865869 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852677 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834202 [11] validation_0-merror:0.35 validation_0-mlogloss:0.823215 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.808688 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793769 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778993 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.773014 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764749 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762485 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.752422 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.742553 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.73999 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.73603 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728547 [23] validation_0-merror:0.3 validation_0-mlogloss:0.720708 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72266 [25] validation_0-merror:0.3 validation_0-mlogloss:0.722172 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.71354 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707712 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706025 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701579 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697337 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697312 [32] validation_0-merror:0.3 validation_0-mlogloss:0.698895 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703335 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704063 [35] validation_0-merror:0.3 validation_0-mlogloss:0.708371 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70287 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.697312 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05043 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01248 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.978423 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953169 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947497 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.918219 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89993 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883535 [8] validation_0-merror:0.3 validation_0-mlogloss:0.864997 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846083 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830201 [11] validation_0-merror:0.3 validation_0-mlogloss:0.817515 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803553 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790819 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780605 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775992 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765539 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.755162 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749176 [19] validation_0-merror:0.3 validation_0-mlogloss:0.745446 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73735 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732163 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.720793 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.715993 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.706329 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.704227 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.6973 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697368 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.695128 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691425 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687178 [31] validation_0-merror:0.3 validation_0-mlogloss:0.683647 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.677836 [33] validation_0-merror:0.3 validation_0-mlogloss:0.674291 [34] validation_0-merror:0.3 validation_0-mlogloss:0.67118 [35] validation_0-merror:0.3 validation_0-mlogloss:0.669362 [36] validation_0-merror:0.3 validation_0-mlogloss:0.667544 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668581 [38] validation_0-merror:0.3 validation_0-mlogloss:0.671881 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668595 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.669129 [41] validation_0-merror:0.3 validation_0-mlogloss:0.6664 [42] validation_0-merror:0.3 validation_0-mlogloss:0.663811 [43] validation_0-merror:0.3 validation_0-mlogloss:0.662874 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.660603 [45] validation_0-merror:0.3 validation_0-mlogloss:0.65914 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.659884 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.659617 [48] validation_0-merror:0.3 validation_0-mlogloss:0.658133 [49] validation_0-merror:0.3 validation_0-mlogloss:0.658422 [50] validation_0-merror:0.3 validation_0-mlogloss:0.65911 [51] validation_0-merror:0.3 validation_0-mlogloss:0.662115 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.660428 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.66237 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.658133 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06281 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03296 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997669 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964216 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937778 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917751 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897341 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88111 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861438 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848532 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838631 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829182 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.822288 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811353 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804151 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.794612 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.795206 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.789037 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78407 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780812 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778444 [21] validation_0-merror:0.35 validation_0-mlogloss:0.775555 [22] validation_0-merror:0.35 validation_0-mlogloss:0.769934 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765984 [24] validation_0-merror:0.35 validation_0-mlogloss:0.767714 [25] validation_0-merror:0.35 validation_0-mlogloss:0.764916 [26] validation_0-merror:0.35 validation_0-mlogloss:0.761884 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760557 [28] validation_0-merror:0.35 validation_0-mlogloss:0.762134 [29] validation_0-merror:0.35 validation_0-mlogloss:0.7571 [30] validation_0-merror:0.35 validation_0-mlogloss:0.759123 [31] validation_0-merror:0.35 validation_0-mlogloss:0.758389 [32] validation_0-merror:0.35 validation_0-mlogloss:0.757017 [33] validation_0-merror:0.35 validation_0-mlogloss:0.756559 [34] validation_0-merror:0.35 validation_0-mlogloss:0.758768 [35] validation_0-merror:0.35 validation_0-mlogloss:0.760414 [36] validation_0-merror:0.35 validation_0-mlogloss:0.76172 [37] validation_0-merror:0.35 validation_0-mlogloss:0.764189 [38] validation_0-merror:0.35 validation_0-mlogloss:0.764759 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.756559 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06108 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02676 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.993748 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976703 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954353 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.938128 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.918737 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.909141 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.891904 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.877402 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.865237 [11] validation_0-merror:0.3 validation_0-mlogloss:0.855927 [12] validation_0-merror:0.3 validation_0-mlogloss:0.839894 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.829348 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816156 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.808949 [16] validation_0-merror:0.3 validation_0-mlogloss:0.804248 [17] validation_0-merror:0.3 validation_0-mlogloss:0.795702 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786527 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777965 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777134 [21] validation_0-merror:0.3 validation_0-mlogloss:0.773159 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.77222 [23] validation_0-merror:0.3 validation_0-mlogloss:0.764745 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.759632 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.755694 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749517 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749386 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744033 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.739371 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.738129 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.734747 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.731823 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.729938 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.725522 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.723957 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.723416 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.721213 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.720008 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.71875 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714814 [41] validation_0-merror:0.3 validation_0-mlogloss:0.712424 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.711673 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.709126 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.713638 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.710323 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.706039 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.705849 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.709434 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.713967 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.711723 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.712617 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.71312 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.705849 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05144 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01473 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980782 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956461 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923612 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898528 [6] validation_0-merror:0.3 validation_0-mlogloss:0.880875 [7] validation_0-merror:0.3 validation_0-mlogloss:0.870922 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855183 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841326 [10] validation_0-merror:0.3 validation_0-mlogloss:0.829177 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.812271 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.792662 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.778001 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.768371 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.759899 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.751537 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743611 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.736753 [19] validation_0-merror:0.25 validation_0-mlogloss:0.728498 [20] validation_0-merror:0.25 validation_0-mlogloss:0.724012 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.720533 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.715502 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.710624 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.708136 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.703154 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.699174 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696605 [28] validation_0-merror:0.25 validation_0-mlogloss:0.694438 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.688679 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.688517 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.68343 [32] validation_0-merror:0.25 validation_0-mlogloss:0.678998 [33] validation_0-merror:0.25 validation_0-mlogloss:0.673337 [34] validation_0-merror:0.25 validation_0-mlogloss:0.673729 [35] validation_0-merror:0.25 validation_0-mlogloss:0.671943 [36] validation_0-merror:0.25 validation_0-mlogloss:0.66979 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.669453 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.669261 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.669421 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.667679 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.667057 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.664644 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.665018 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.664505 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.661917 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.660993 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.660493 [48] validation_0-merror:0.233333 validation_0-mlogloss:0.661137 [49] validation_0-merror:0.25 validation_0-mlogloss:0.661688 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.661751 [51] validation_0-merror:0.25 validation_0-mlogloss:0.660358 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659923 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.659448 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.660848 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.662112 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.6606 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.660319 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.658964 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.658375 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.658633 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.658155 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.65703 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.657606 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.655388 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.654301 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.654541 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.656904 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.657423 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.658089 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.655189 Stopping. Best iteration: [65] validation_0-merror:0.266667 validation_0-mlogloss:0.654301 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0579 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03241 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00428 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983382 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951774 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915977 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907153 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.896561 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.884536 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.873269 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.857722 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.842197 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.821971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.813943 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807964 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803036 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.803092 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.795217 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.796594 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.792319 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7907 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787585 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.785879 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.783837 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.786241 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.78399 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784497 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.783078 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.785796 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.784911 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.782643 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.78378 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.782458 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.781169 [36] validation_0-merror:0.35 validation_0-mlogloss:0.787323 [37] validation_0-merror:0.35 validation_0-mlogloss:0.791703 [38] validation_0-merror:0.35 validation_0-mlogloss:0.791312 [39] validation_0-merror:0.35 validation_0-mlogloss:0.795223 [40] validation_0-merror:0.35 validation_0-mlogloss:0.793857 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.781169 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06658 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03362 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99884 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981844 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955739 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.928932 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908183 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893516 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.874108 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854952 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.840397 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833609 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811133 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794134 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791046 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779485 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768175 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759942 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753456 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.746555 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74156 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740811 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736863 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727994 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720921 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716071 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715505 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709141 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704232 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70246 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704018 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.707765 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703117 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700769 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.695715 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692976 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696977 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.702627 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69966 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.699119 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697108 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692976 [0] validation_0-merror:0.5 validation_0-mlogloss:1.05503 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.0214 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.996471 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966974 [4] validation_0-merror:0.4 validation_0-mlogloss:0.957835 [5] validation_0-merror:0.35 validation_0-mlogloss:0.93583 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.917767 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.899517 [8] validation_0-merror:0.35 validation_0-mlogloss:0.883813 [9] validation_0-merror:0.35 validation_0-mlogloss:0.865355 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.855729 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843394 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.833483 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824722 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816142 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.814189 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80257 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790315 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784839 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77779 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768325 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.760648 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7538 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747572 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.738254 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735328 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.723747 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719116 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.714644 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.707619 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.698678 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.6938 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.690144 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.686215 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.683265 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.676986 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.676091 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.673112 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.672557 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.670462 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.670407 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.669551 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.665393 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.660148 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.659996 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.659185 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.657065 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.654236 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.651034 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.653471 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.652059 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.653826 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.655748 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.657316 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.651034 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03661 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.997528 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970834 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938883 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917164 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.894751 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87785 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85885 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.842085 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825218 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810714 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.803819 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.795427 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787928 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.775074 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77084 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.767594 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.767465 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.759997 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.757818 [21] validation_0-merror:0.35 validation_0-mlogloss:0.75374 [22] validation_0-merror:0.35 validation_0-mlogloss:0.751791 [23] validation_0-merror:0.35 validation_0-mlogloss:0.749621 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752104 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.749853 [26] validation_0-merror:0.35 validation_0-mlogloss:0.746553 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.745108 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.746963 [29] validation_0-merror:0.35 validation_0-mlogloss:0.74206 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.74389 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.743036 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.744923 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.743666 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.745459 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.74206 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03292 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.994233 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.977921 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.947931 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924275 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.908017 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894366 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875189 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864679 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846414 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840112 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825368 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809164 [14] validation_0-merror:0.3 validation_0-mlogloss:0.792644 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788923 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779666 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772506 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76275 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752697 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748016 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74325 [22] validation_0-merror:0.3 validation_0-mlogloss:0.737184 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728599 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726909 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.715199 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709957 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705883 [29] validation_0-merror:0.3 validation_0-mlogloss:0.70362 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700992 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697789 [32] validation_0-merror:0.3 validation_0-mlogloss:0.697818 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701859 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701003 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706385 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701533 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.697789 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01117 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978857 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949177 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944848 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915179 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896254 [7] validation_0-merror:0.3 validation_0-mlogloss:0.879004 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.860195 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.841356 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825098 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811544 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798063 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788212 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.779963 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77541 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764884 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.753946 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.747193 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74361 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.734281 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.729667 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.719789 [23] validation_0-merror:0.35 validation_0-mlogloss:0.715083 [24] validation_0-merror:0.35 validation_0-mlogloss:0.706421 [25] validation_0-merror:0.35 validation_0-mlogloss:0.703897 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.696191 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.695728 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.691736 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.689855 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687187 [31] validation_0-merror:0.3 validation_0-mlogloss:0.681282 [32] validation_0-merror:0.3 validation_0-mlogloss:0.67494 [33] validation_0-merror:0.3 validation_0-mlogloss:0.670726 [34] validation_0-merror:0.3 validation_0-mlogloss:0.6678 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.664519 [36] validation_0-merror:0.3 validation_0-mlogloss:0.665131 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668444 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673002 [39] validation_0-merror:0.3 validation_0-mlogloss:0.667998 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.666239 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.664519 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06394 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02932 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99773 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.961937 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933499 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914091 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895931 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880777 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862559 [9] validation_0-merror:0.3 validation_0-mlogloss:0.848062 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838563 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830192 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821614 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809777 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802677 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.793976 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793867 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788526 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.783913 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784066 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781279 [21] validation_0-merror:0.35 validation_0-mlogloss:0.780786 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776272 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770668 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770768 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767484 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762477 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758489 [28] validation_0-merror:0.35 validation_0-mlogloss:0.759512 [29] validation_0-merror:0.35 validation_0-mlogloss:0.75496 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755639 [31] validation_0-merror:0.35 validation_0-mlogloss:0.757922 [32] validation_0-merror:0.35 validation_0-mlogloss:0.756238 [33] validation_0-merror:0.35 validation_0-mlogloss:0.754119 [34] validation_0-merror:0.35 validation_0-mlogloss:0.754669 [35] validation_0-merror:0.35 validation_0-mlogloss:0.757057 [36] validation_0-merror:0.35 validation_0-mlogloss:0.759428 [37] validation_0-merror:0.35 validation_0-mlogloss:0.764098 [38] validation_0-merror:0.35 validation_0-mlogloss:0.764732 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.754119 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06085 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03054 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997844 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976678 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943465 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924854 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905774 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.892384 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.872629 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.859999 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849171 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838668 [12] validation_0-merror:0.3 validation_0-mlogloss:0.8228 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812877 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.799621 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.793317 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788428 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.781844 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.774315 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.764943 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.765834 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763513 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76085 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755228 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749326 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746351 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74459 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742166 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739656 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.736027 [30] validation_0-merror:0.3 validation_0-mlogloss:0.734943 [31] validation_0-merror:0.3 validation_0-mlogloss:0.732868 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728611 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734945 [34] validation_0-merror:0.3 validation_0-mlogloss:0.730673 [35] validation_0-merror:0.3 validation_0-mlogloss:0.728128 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728318 [37] validation_0-merror:0.3 validation_0-mlogloss:0.726535 [38] validation_0-merror:0.3 validation_0-mlogloss:0.722422 [39] validation_0-merror:0.3 validation_0-mlogloss:0.721863 [40] validation_0-merror:0.3 validation_0-mlogloss:0.718083 [41] validation_0-merror:0.3 validation_0-mlogloss:0.717511 [42] validation_0-merror:0.3 validation_0-mlogloss:0.716956 [43] validation_0-merror:0.3 validation_0-mlogloss:0.71707 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722608 [45] validation_0-merror:0.3 validation_0-mlogloss:0.722227 [46] validation_0-merror:0.3 validation_0-mlogloss:0.720246 [47] validation_0-merror:0.3 validation_0-mlogloss:0.716753 [48] validation_0-merror:0.3 validation_0-mlogloss:0.71967 [49] validation_0-merror:0.3 validation_0-mlogloss:0.723069 [50] validation_0-merror:0.3 validation_0-mlogloss:0.721378 [51] validation_0-merror:0.3 validation_0-mlogloss:0.724288 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.722861 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.716753 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05358 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02062 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988117 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962684 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931607 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90531 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.886164 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.875267 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859026 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845003 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833302 [11] validation_0-merror:0.3 validation_0-mlogloss:0.818165 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.797711 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.783278 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.773605 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.765606 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.757889 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.747861 [18] validation_0-merror:0.3 validation_0-mlogloss:0.741026 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.734539 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.730496 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.727096 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.721779 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.717194 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712611 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7066 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.701475 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.698823 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697937 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691936 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689128 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685812 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681627 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.676143 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.67579 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.677258 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.678511 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.678128 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67714 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.677848 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.67579 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02836 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996886 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974586 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.947231 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.923708 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90848 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897995 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885204 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.874554 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.862039 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844421 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828824 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818574 [14] validation_0-merror:0.35 validation_0-mlogloss:0.811568 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803497 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793331 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788699 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786524 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779975 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779503 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776801 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.775719 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.774168 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.773049 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770101 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.774042 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769136 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.769119 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770487 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.775052 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.774889 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774864 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.776066 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.769119 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03425 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00142 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982569 [4] validation_0-merror:0.35 validation_0-mlogloss:0.959994 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933836 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915153 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.898191 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.878993 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862101 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.845945 [11] validation_0-merror:0.3 validation_0-mlogloss:0.829863 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811162 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.798134 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.790188 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.780731 [16] validation_0-merror:0.3 validation_0-mlogloss:0.772797 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.762562 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760647 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753462 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747775 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745114 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738847 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.730018 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.720993 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716036 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712273 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707024 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701394 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.698545 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.699515 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.699064 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.693874 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.691072 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.686597 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.684562 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.688694 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.691359 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.691734 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.691851 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.688707 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.684562 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02968 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00214 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.974151 [4] validation_0-merror:0.4 validation_0-mlogloss:0.964205 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.93986 [6] validation_0-merror:0.35 validation_0-mlogloss:0.922741 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905456 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889455 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870755 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.859316 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.846951 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.834928 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.824316 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817954 [15] validation_0-merror:0.35 validation_0-mlogloss:0.817058 [16] validation_0-merror:0.35 validation_0-mlogloss:0.804945 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793671 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.788541 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783392 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773188 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764324 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754344 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.745303 [24] validation_0-merror:0.35 validation_0-mlogloss:0.7368 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734034 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.72567 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720335 [28] validation_0-merror:0.3 validation_0-mlogloss:0.71631 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711942 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706994 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702401 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700709 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697359 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696128 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.693819 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69371 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.690261 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691347 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687922 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689484 [41] validation_0-merror:0.3 validation_0-mlogloss:0.690199 [42] validation_0-merror:0.3 validation_0-mlogloss:0.688459 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684712 [44] validation_0-merror:0.3 validation_0-mlogloss:0.682077 [45] validation_0-merror:0.3 validation_0-mlogloss:0.681956 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681968 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678545 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.675418 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.678912 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.675488 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.681518 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681498 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.675418 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03549 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998109 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.974118 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941115 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.920036 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881923 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.861845 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844199 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827512 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812204 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805096 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796564 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788917 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778713 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.772461 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76905 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764484 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.761291 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.756016 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.74977 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.748548 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.746341 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.747759 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.746058 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.742699 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737628 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.73694 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.736972 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.736755 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.734875 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.731905 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.728977 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.732219 [35] validation_0-merror:0.35 validation_0-mlogloss:0.737375 [36] validation_0-merror:0.35 validation_0-mlogloss:0.732042 [37] validation_0-merror:0.35 validation_0-mlogloss:0.736452 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737058 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.728977 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06803 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.04004 [2] validation_0-merror:0.283333 validation_0-mlogloss:1.00266 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.980111 [4] validation_0-merror:0.3 validation_0-mlogloss:0.953333 [5] validation_0-merror:0.3 validation_0-mlogloss:0.929863 [6] validation_0-merror:0.3 validation_0-mlogloss:0.910361 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897227 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87881 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.863603 [10] validation_0-merror:0.3 validation_0-mlogloss:0.844479 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836184 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823313 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809029 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797411 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.794462 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787387 [17] validation_0-merror:0.3 validation_0-mlogloss:0.781547 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773583 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763495 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758951 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753043 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748453 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740403 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.737687 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.73439 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728349 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722974 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719375 [29] validation_0-merror:0.3 validation_0-mlogloss:0.715427 [30] validation_0-merror:0.3 validation_0-mlogloss:0.71135 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707902 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705989 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708181 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708366 [35] validation_0-merror:0.3 validation_0-mlogloss:0.710464 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.704235 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704055 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700729 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.699339 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.694353 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.691081 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.692792 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689135 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.689978 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.689791 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.689465 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.690295 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.693891 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689135 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05231 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01224 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986084 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957297 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950057 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919223 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898752 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881787 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862921 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843077 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829601 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815346 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801538 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792387 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783488 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.7796 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767801 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.756794 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.750365 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.74678 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.735081 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.729988 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.719651 [23] validation_0-merror:0.35 validation_0-mlogloss:0.714017 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.704021 [25] validation_0-merror:0.35 validation_0-mlogloss:0.700733 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.694413 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.694337 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.689821 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.688168 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.685366 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.677814 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.673613 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.671248 [34] validation_0-merror:0.3 validation_0-mlogloss:0.668249 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.664312 [36] validation_0-merror:0.3 validation_0-mlogloss:0.662361 [37] validation_0-merror:0.3 validation_0-mlogloss:0.661593 [38] validation_0-merror:0.3 validation_0-mlogloss:0.664667 [39] validation_0-merror:0.3 validation_0-mlogloss:0.661376 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.661258 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.655183 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.653347 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.651277 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.648894 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.646264 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.645425 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.643822 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.642178 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.645066 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.64693 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.648114 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.648508 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.652152 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.642178 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06502 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03399 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00012 [3] validation_0-merror:0.35 validation_0-mlogloss:0.97198 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943765 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922844 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906643 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890256 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866367 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852982 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843902 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832324 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.82233 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811404 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807451 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.798621 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.79545 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7912 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788174 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.788494 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781828 [21] validation_0-merror:0.35 validation_0-mlogloss:0.778897 [22] validation_0-merror:0.35 validation_0-mlogloss:0.774002 [23] validation_0-merror:0.35 validation_0-mlogloss:0.767986 [24] validation_0-merror:0.35 validation_0-mlogloss:0.769622 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.766896 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763895 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.761581 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763156 [29] validation_0-merror:0.35 validation_0-mlogloss:0.759652 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.764112 [31] validation_0-merror:0.35 validation_0-mlogloss:0.767594 [32] validation_0-merror:0.35 validation_0-mlogloss:0.765491 [33] validation_0-merror:0.35 validation_0-mlogloss:0.763586 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.762738 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.759652 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0613 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03293 [2] validation_0-merror:0.35 validation_0-mlogloss:1.0015 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973139 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.941147 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.919237 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.899981 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.884536 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.866931 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.853469 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.841023 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828161 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.814561 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802204 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790098 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784481 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78153 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777437 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770146 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.761984 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760799 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.758249 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.751772 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.742546 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.736848 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.733604 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73176 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.728795 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.724263 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.720225 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719417 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.716754 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713182 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.714401 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.711061 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.711566 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.709108 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.709373 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707035 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.705332 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.700877 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.701177 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.70095 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.701652 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.705406 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.703874 Stopping. Best iteration: [40] validation_0-merror:0.266667 validation_0-mlogloss:0.700877 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02089 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.991079 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964037 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935681 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.909852 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888802 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878163 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.861605 [9] validation_0-merror:0.3 validation_0-mlogloss:0.850008 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836878 [11] validation_0-merror:0.3 validation_0-mlogloss:0.817614 [12] validation_0-merror:0.3 validation_0-mlogloss:0.799509 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785506 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776163 [15] validation_0-merror:0.3 validation_0-mlogloss:0.765957 [16] validation_0-merror:0.3 validation_0-mlogloss:0.758704 [17] validation_0-merror:0.3 validation_0-mlogloss:0.748581 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.74186 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.732804 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.725716 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.721909 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.716527 [23] validation_0-merror:0.3 validation_0-mlogloss:0.714296 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.712108 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.704173 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699562 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.696282 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69516 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689841 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.685368 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.68018 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.676058 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.672 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.667658 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671295 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670276 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668951 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667403 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.668747 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.670167 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666387 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666609 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66725 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.667928 [45] validation_0-merror:0.3 validation_0-mlogloss:0.667805 [46] validation_0-merror:0.3 validation_0-mlogloss:0.66764 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.666387 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02498 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993206 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969849 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941429 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917924 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899765 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888883 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87453 [9] validation_0-merror:0.35 validation_0-mlogloss:0.861976 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850498 [11] validation_0-merror:0.35 validation_0-mlogloss:0.833763 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.821112 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809017 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802837 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794731 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787116 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784644 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.77961 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.775455 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772123 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769842 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.766102 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762276 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760324 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758575 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.758537 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758577 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75785 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.758698 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.75792 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.758875 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.760446 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.76196 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75785 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06797 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03897 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00537 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.987894 [4] validation_0-merror:0.4 validation_0-mlogloss:0.965845 [5] validation_0-merror:0.4 validation_0-mlogloss:0.939555 [6] validation_0-merror:0.4 validation_0-mlogloss:0.921611 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.904401 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884981 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869748 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853122 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836723 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81904 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805081 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797705 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786704 [16] validation_0-merror:0.3 validation_0-mlogloss:0.772601 [17] validation_0-merror:0.3 validation_0-mlogloss:0.762029 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.755194 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.747671 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74402 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741628 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737405 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729051 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721315 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718346 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715947 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.710819 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704579 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702182 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701605 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703477 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697473 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.69444 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690905 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688983 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691951 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694273 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692074 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.691026 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.689908 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688983 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972818 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964559 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938162 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.919248 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.90055 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.883628 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.867356 [10] validation_0-merror:0.4 validation_0-mlogloss:0.855428 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83989 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827675 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815906 [14] validation_0-merror:0.35 validation_0-mlogloss:0.811168 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810203 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.798423 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.786856 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.781638 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.776155 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765591 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.758166 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750619 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746613 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73662 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737764 [26] validation_0-merror:0.3 validation_0-mlogloss:0.73195 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728907 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72324 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721622 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717606 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.713234 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712502 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.71009 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70912 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70718 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708573 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704988 [38] validation_0-merror:0.3 validation_0-mlogloss:0.705727 [39] validation_0-merror:0.3 validation_0-mlogloss:0.702954 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.703416 [41] validation_0-merror:0.3 validation_0-mlogloss:0.703685 [42] validation_0-merror:0.3 validation_0-mlogloss:0.700691 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.696835 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696535 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.694419 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695193 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.69156 [48] validation_0-merror:0.3 validation_0-mlogloss:0.690699 [49] validation_0-merror:0.3 validation_0-mlogloss:0.693106 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693475 [51] validation_0-merror:0.3 validation_0-mlogloss:0.695563 [52] validation_0-merror:0.3 validation_0-mlogloss:0.696422 [53] validation_0-merror:0.3 validation_0-mlogloss:0.699072 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.690699 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04297 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981242 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.927082 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908697 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89066 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871015 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854732 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.837847 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82299 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.818244 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808899 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.801722 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.794844 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.788306 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.7851 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778432 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77183 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766552 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.759051 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.757606 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754994 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.754272 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.751271 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.749496 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747464 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74433 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74221 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.743766 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.740516 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.738257 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.735002 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738114 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738865 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.734124 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.739238 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.73875 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.736747 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.736247 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.734863 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.734124 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.934158 [6] validation_0-merror:0.3 validation_0-mlogloss:0.912739 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899422 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883259 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870752 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84953 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836649 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823858 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.81043 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799024 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796783 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79006 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783438 [18] validation_0-merror:0.3 validation_0-mlogloss:0.769872 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765446 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758686 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749875 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746775 [23] validation_0-merror:0.3 validation_0-mlogloss:0.736825 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736134 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.73229 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728215 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722686 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721837 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.716739 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711278 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704876 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705454 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706637 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703651 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702518 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697534 [37] validation_0-merror:0.3 validation_0-mlogloss:0.697807 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695091 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691171 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68522 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.683126 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.684701 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.679943 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.678479 [45] validation_0-merror:0.3 validation_0-mlogloss:0.675362 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.6773 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678129 [48] validation_0-merror:0.3 validation_0-mlogloss:0.678603 [49] validation_0-merror:0.3 validation_0-mlogloss:0.679321 [50] validation_0-merror:0.3 validation_0-mlogloss:0.675493 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.675362 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0113 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988315 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.961188 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.954259 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923992 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901078 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882066 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.866776 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848827 [10] validation_0-merror:0.35 validation_0-mlogloss:0.831771 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816984 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805606 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796099 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786765 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783759 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775359 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765235 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760441 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755731 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746008 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741035 [22] validation_0-merror:0.3 validation_0-mlogloss:0.728949 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.723601 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71488 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712076 [26] validation_0-merror:0.3 validation_0-mlogloss:0.705036 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704785 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70073 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69893 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695422 [31] validation_0-merror:0.3 validation_0-mlogloss:0.688795 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684278 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.681595 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.678546 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.672687 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671081 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.670187 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672487 [39] validation_0-merror:0.3 validation_0-mlogloss:0.664716 [40] validation_0-merror:0.3 validation_0-mlogloss:0.667016 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.662485 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.663289 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.662155 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660308 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.65781 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.655933 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.652927 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.649953 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.65073 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.651442 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.651642 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.649432 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.652997 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.653078 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.655932 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.656914 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.65745 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.649432 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02949 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998829 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968015 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93959 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92159 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906258 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888677 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865181 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.851002 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841879 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832631 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823563 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814425 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808381 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799866 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795991 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789585 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783255 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783162 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776637 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77367 [22] validation_0-merror:0.4 validation_0-mlogloss:0.768768 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766599 [24] validation_0-merror:0.4 validation_0-mlogloss:0.767079 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764481 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760284 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757388 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756983 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75437 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.756589 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.759914 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.757506 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.756663 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.75612 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75437 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06684 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03552 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00184 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944917 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.921264 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.903662 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.888647 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.871376 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.856948 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.843782 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.832069 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816698 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.80373 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.794385 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.788525 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784848 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.779063 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.771881 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.763778 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761258 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75903 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.752472 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.744147 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.74096 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.736177 [26] validation_0-merror:0.3 validation_0-mlogloss:0.736294 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.732131 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.730223 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.726512 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.726728 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.72086 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.71648 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.719281 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.718012 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.721215 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.718749 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.718845 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.71648 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05723 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0229 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993449 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967104 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939398 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914161 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896599 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886015 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866653 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.852454 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840428 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.821152 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807928 [13] validation_0-merror:0.3 validation_0-mlogloss:0.799128 [14] validation_0-merror:0.3 validation_0-mlogloss:0.790539 [15] validation_0-merror:0.3 validation_0-mlogloss:0.7817 [16] validation_0-merror:0.3 validation_0-mlogloss:0.771185 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765058 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755373 [19] validation_0-merror:0.3 validation_0-mlogloss:0.745768 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739262 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736373 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731402 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725595 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721679 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715169 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.713353 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.710676 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710388 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705069 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.700425 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.695802 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.694047 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690756 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.687811 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.685836 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683695 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681215 [38] validation_0-merror:0.3 validation_0-mlogloss:0.679537 [39] validation_0-merror:0.3 validation_0-mlogloss:0.679104 [40] validation_0-merror:0.3 validation_0-mlogloss:0.679394 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.679927 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.678724 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.678769 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.679476 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.679352 [46] validation_0-merror:0.3 validation_0-mlogloss:0.677429 [47] validation_0-merror:0.3 validation_0-mlogloss:0.677146 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679148 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677867 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67707 [51] validation_0-merror:0.3 validation_0-mlogloss:0.677657 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676005 [53] validation_0-merror:0.3 validation_0-mlogloss:0.676278 [54] validation_0-merror:0.3 validation_0-mlogloss:0.679501 [55] validation_0-merror:0.3 validation_0-mlogloss:0.679353 [56] validation_0-merror:0.3 validation_0-mlogloss:0.679906 [57] validation_0-merror:0.3 validation_0-mlogloss:0.68007 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.676005 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05738 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02806 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.999564 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.978997 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.946137 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.924083 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909845 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899657 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890426 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877872 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.865565 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854913 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.841202 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.828818 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.82256 [15] validation_0-merror:0.4 validation_0-mlogloss:0.818331 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.809926 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.806231 [18] validation_0-merror:0.35 validation_0-mlogloss:0.80508 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.799863 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.798483 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.797314 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.79388 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.791489 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.789709 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.7852 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.787011 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.785309 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.784961 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.784363 [30] validation_0-merror:0.4 validation_0-mlogloss:0.784396 [31] validation_0-merror:0.4 validation_0-mlogloss:0.785593 [32] validation_0-merror:0.4 validation_0-mlogloss:0.784974 [33] validation_0-merror:0.4 validation_0-mlogloss:0.787084 [34] validation_0-merror:0.4 validation_0-mlogloss:0.786964 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.784363 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06214 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02997 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997659 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.978992 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955198 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928901 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.912916 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.900252 [8] validation_0-merror:0.3 validation_0-mlogloss:0.88189 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867835 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.849559 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.832212 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.812859 [13] validation_0-merror:0.3 validation_0-mlogloss:0.801224 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793052 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787099 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.773905 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.763639 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.758489 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.749338 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745236 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.742563 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.734326 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.72647 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.717293 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.714382 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.712837 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710416 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704363 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703901 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.704825 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.702129 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700157 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696776 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693971 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692255 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.693052 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.695967 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694992 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.693477 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692024 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.690777 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.689575 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688963 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.692223 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.691184 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.690701 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.690601 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.690057 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688963 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02709 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997797 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970545 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961793 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938023 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.92001 [7] validation_0-merror:0.35 validation_0-mlogloss:0.902715 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.884745 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863433 [10] validation_0-merror:0.35 validation_0-mlogloss:0.850482 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836175 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.822653 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810832 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801094 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799079 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.786595 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775445 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769645 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765043 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758124 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750889 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.747875 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741906 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73127 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.731144 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723358 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720468 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.714293 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.711212 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708428 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704062 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702656 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.700435 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.699775 [35] validation_0-merror:0.35 validation_0-mlogloss:0.695564 [36] validation_0-merror:0.35 validation_0-mlogloss:0.696058 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694572 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69729 [39] validation_0-merror:0.35 validation_0-mlogloss:0.696452 [40] validation_0-merror:0.35 validation_0-mlogloss:0.699091 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.699194 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.698693 Stopping. Best iteration: [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694572 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06237 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03979 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00542 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979812 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947386 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.929179 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910729 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.894207 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877208 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.860415 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842581 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827423 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.820447 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811057 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.804265 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798361 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.792698 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784118 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778084 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.770444 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.76734 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762667 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761118 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.758885 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757762 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755959 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754696 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751163 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74862 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.746839 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.746907 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.744845 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74474 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.744426 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.747341 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.745992 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.743545 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.743395 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.743561 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.743627 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.741034 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.73726 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.737695 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.737524 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.738337 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.737001 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.737346 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.733869 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.734678 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.734424 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.730413 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.732312 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.730991 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.732021 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.739477 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.741032 Stopping. Best iteration: [50] validation_0-merror:0.366667 validation_0-mlogloss:0.730413 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928075 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912282 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897811 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879006 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867463 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848211 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834841 [12] validation_0-merror:0.3 validation_0-mlogloss:0.82276 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808387 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797019 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79591 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789787 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.784923 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778193 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.773795 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767809 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763052 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.762375 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756433 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.755967 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75234 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746749 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740113 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738647 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73351 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.72978 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726849 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727347 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72691 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.724726 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.723397 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.71786 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719596 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716911 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.714862 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.708816 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.707189 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.708351 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.704292 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.700036 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.693537 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.693625 [47] validation_0-merror:0.3 validation_0-mlogloss:0.69434 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.692756 [49] validation_0-merror:0.3 validation_0-mlogloss:0.694363 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690438 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.688794 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684701 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.685855 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.691327 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.690352 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690745 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.690698 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684701 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01291 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986075 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957666 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951163 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924585 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906545 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887219 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.869906 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.850605 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835657 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821992 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808549 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79993 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791169 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78607 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776794 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765231 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759218 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753569 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745065 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.740401 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.730141 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722309 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71324 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709162 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702781 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702887 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699939 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.698878 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695757 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690566 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687389 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684434 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683716 [35] validation_0-merror:0.3 validation_0-mlogloss:0.677823 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676178 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673687 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675724 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673575 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675404 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671559 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671391 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.670538 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.669102 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.666628 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.666438 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664539 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.662968 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.660321 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.661086 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.663369 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.663047 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.663708 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.664929 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.660321 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02935 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998514 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967407 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939631 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922086 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906829 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890674 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86906 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.852981 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840346 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828425 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.822972 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.811709 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.805848 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.797844 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794374 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787499 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.782239 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778381 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774527 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768927 [22] validation_0-merror:0.4 validation_0-mlogloss:0.765463 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761923 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762146 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759416 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.754976 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751027 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.749484 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.746165 [30] validation_0-merror:0.35 validation_0-mlogloss:0.747778 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.748107 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74612 [33] validation_0-merror:0.35 validation_0-mlogloss:0.746898 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746775 [35] validation_0-merror:0.35 validation_0-mlogloss:0.746329 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.747134 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749029 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74612 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06594 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03723 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00678 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979286 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.958339 [5] validation_0-merror:0.3 validation_0-mlogloss:0.935581 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.915812 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902914 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.88737 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.869205 [10] validation_0-merror:0.3 validation_0-mlogloss:0.856026 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.844887 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.831243 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819748 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.809764 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803949 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799418 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791911 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785896 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.776208 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773758 [21] validation_0-merror:0.35 validation_0-mlogloss:0.771161 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763999 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757639 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.757845 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752831 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.752938 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747816 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744603 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740925 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.743723 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737118 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.731386 [33] validation_0-merror:0.3 validation_0-mlogloss:0.733162 [34] validation_0-merror:0.3 validation_0-mlogloss:0.729057 [35] validation_0-merror:0.3 validation_0-mlogloss:0.729026 [36] validation_0-merror:0.3 validation_0-mlogloss:0.725219 [37] validation_0-merror:0.3 validation_0-mlogloss:0.725031 [38] validation_0-merror:0.3 validation_0-mlogloss:0.722204 [39] validation_0-merror:0.3 validation_0-mlogloss:0.723826 [40] validation_0-merror:0.3 validation_0-mlogloss:0.718786 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718326 [42] validation_0-merror:0.3 validation_0-mlogloss:0.719017 [43] validation_0-merror:0.3 validation_0-mlogloss:0.720406 [44] validation_0-merror:0.3 validation_0-mlogloss:0.721859 [45] validation_0-merror:0.3 validation_0-mlogloss:0.721022 [46] validation_0-merror:0.3 validation_0-mlogloss:0.716424 [47] validation_0-merror:0.3 validation_0-mlogloss:0.716044 [48] validation_0-merror:0.3 validation_0-mlogloss:0.7171 [49] validation_0-merror:0.3 validation_0-mlogloss:0.720235 [50] validation_0-merror:0.3 validation_0-mlogloss:0.715017 [51] validation_0-merror:0.3 validation_0-mlogloss:0.715963 [52] validation_0-merror:0.3 validation_0-mlogloss:0.71411 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.713793 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.717501 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.716506 [56] validation_0-merror:0.3 validation_0-mlogloss:0.714363 [57] validation_0-merror:0.3 validation_0-mlogloss:0.713789 [58] validation_0-merror:0.3 validation_0-mlogloss:0.712396 [59] validation_0-merror:0.3 validation_0-mlogloss:0.712962 [60] validation_0-merror:0.3 validation_0-mlogloss:0.713548 [61] validation_0-merror:0.3 validation_0-mlogloss:0.716644 [62] validation_0-merror:0.3 validation_0-mlogloss:0.719634 [63] validation_0-merror:0.3 validation_0-mlogloss:0.721359 Stopping. Best iteration: [58] validation_0-merror:0.3 validation_0-mlogloss:0.712396 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02288 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993037 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967213 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939434 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914048 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89602 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884341 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864334 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849952 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835355 [11] validation_0-merror:0.3 validation_0-mlogloss:0.816926 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798515 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.783703 [14] validation_0-merror:0.3 validation_0-mlogloss:0.775657 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.765721 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.756951 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.748008 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.737954 [19] validation_0-merror:0.3 validation_0-mlogloss:0.7277 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.723564 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.722327 [22] validation_0-merror:0.3 validation_0-mlogloss:0.715794 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.710041 [24] validation_0-merror:0.3 validation_0-mlogloss:0.706079 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.702139 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702261 [27] validation_0-merror:0.3 validation_0-mlogloss:0.696572 [28] validation_0-merror:0.3 validation_0-mlogloss:0.694748 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689199 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688702 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683468 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.682146 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679158 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.678798 [35] validation_0-merror:0.3 validation_0-mlogloss:0.675004 [36] validation_0-merror:0.3 validation_0-mlogloss:0.67454 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672561 [38] validation_0-merror:0.3 validation_0-mlogloss:0.671709 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672355 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671524 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670427 [42] validation_0-merror:0.3 validation_0-mlogloss:0.669953 [43] validation_0-merror:0.3 validation_0-mlogloss:0.67083 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67269 [45] validation_0-merror:0.3 validation_0-mlogloss:0.671881 [46] validation_0-merror:0.3 validation_0-mlogloss:0.668999 [47] validation_0-merror:0.3 validation_0-mlogloss:0.672796 [48] validation_0-merror:0.3 validation_0-mlogloss:0.672732 [49] validation_0-merror:0.3 validation_0-mlogloss:0.672298 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.672392 [51] validation_0-merror:0.3 validation_0-mlogloss:0.675397 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.668999 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05952 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03021 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99853 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.98004 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949282 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.926707 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912225 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.902914 [8] validation_0-merror:0.4 validation_0-mlogloss:0.89168 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.877633 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.865179 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.853623 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.840314 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.827386 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819685 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.816389 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808478 [17] validation_0-merror:0.4 validation_0-mlogloss:0.804221 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.797854 [19] validation_0-merror:0.4 validation_0-mlogloss:0.794333 [20] validation_0-merror:0.4 validation_0-mlogloss:0.791617 [21] validation_0-merror:0.4 validation_0-mlogloss:0.790094 [22] validation_0-merror:0.4 validation_0-mlogloss:0.786138 [23] validation_0-merror:0.4 validation_0-mlogloss:0.782212 [24] validation_0-merror:0.4 validation_0-mlogloss:0.780047 [25] validation_0-merror:0.4 validation_0-mlogloss:0.777344 [26] validation_0-merror:0.4 validation_0-mlogloss:0.774835 [27] validation_0-merror:0.4 validation_0-mlogloss:0.773167 [28] validation_0-merror:0.4 validation_0-mlogloss:0.772191 [29] validation_0-merror:0.4 validation_0-mlogloss:0.770619 [30] validation_0-merror:0.4 validation_0-mlogloss:0.772242 [31] validation_0-merror:0.4 validation_0-mlogloss:0.773534 [32] validation_0-merror:0.4 validation_0-mlogloss:0.773173 [33] validation_0-merror:0.4 validation_0-mlogloss:0.774158 [34] validation_0-merror:0.4 validation_0-mlogloss:0.773857 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.770619 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06678 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03343 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00229 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982148 [4] validation_0-merror:0.35 validation_0-mlogloss:0.957681 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928592 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.912108 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.900639 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.880659 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865535 [10] validation_0-merror:0.3 validation_0-mlogloss:0.84769 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828831 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808943 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.7953 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787049 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77995 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766729 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757645 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751226 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742459 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738238 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732846 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725712 [23] validation_0-merror:0.3 validation_0-mlogloss:0.717283 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709812 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706178 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702116 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.696 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690566 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.687669 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.687337 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690739 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.690098 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688869 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.687506 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.688684 Stopping. Best iteration: [30] validation_0-merror:0.283333 validation_0-mlogloss:0.687337 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05651 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02071 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.991115 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958273 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950185 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92495 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.906 [7] validation_0-merror:0.4 validation_0-mlogloss:0.888262 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871587 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851761 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839623 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826878 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81478 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803015 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.796641 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798507 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785607 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773687 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765104 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756949 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747757 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738328 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.727669 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.71925 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.713168 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.711486 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.699219 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.695358 [28] validation_0-merror:0.3 validation_0-mlogloss:0.691176 [29] validation_0-merror:0.3 validation_0-mlogloss:0.683417 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.676678 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.672358 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.670045 [33] validation_0-merror:0.3 validation_0-mlogloss:0.667756 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.662356 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.659306 [36] validation_0-merror:0.3 validation_0-mlogloss:0.656948 [37] validation_0-merror:0.3 validation_0-mlogloss:0.649184 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.652526 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.648987 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.651177 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.647216 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.645933 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.645389 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.643166 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.642435 [46] validation_0-merror:0.3 validation_0-mlogloss:0.642065 [47] validation_0-merror:0.3 validation_0-mlogloss:0.640237 [48] validation_0-merror:0.3 validation_0-mlogloss:0.638641 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.639913 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.637965 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.640045 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.640164 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.644388 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.644 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.645374 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.637965 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05889 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03467 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995581 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970179 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934272 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.910746 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.887395 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871863 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852329 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.834292 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820225 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810174 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807161 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798222 [14] validation_0-merror:0.35 validation_0-mlogloss:0.7926 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780679 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775888 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771077 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769684 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.764134 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76167 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755637 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756669 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7525 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751523 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.750375 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.745878 [27] validation_0-merror:0.3 validation_0-mlogloss:0.740481 [28] validation_0-merror:0.3 validation_0-mlogloss:0.73613 [29] validation_0-merror:0.3 validation_0-mlogloss:0.737651 [30] validation_0-merror:0.3 validation_0-mlogloss:0.734918 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736827 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.736647 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.735323 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742543 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.74077 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.734918 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03283 [2] validation_0-merror:0.3 validation_0-mlogloss:0.993314 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969068 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936968 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912168 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897329 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884544 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870335 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858755 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844173 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833775 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821271 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809555 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792732 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.7846 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776454 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772406 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763307 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758721 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758328 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756611 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.753483 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.743241 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.742869 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742089 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734104 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.733045 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730024 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725905 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724486 [31] validation_0-merror:0.3 validation_0-mlogloss:0.728643 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728874 [33] validation_0-merror:0.3 validation_0-mlogloss:0.733323 [34] validation_0-merror:0.3 validation_0-mlogloss:0.735275 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.739601 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724486 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05242 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01123 [2] validation_0-merror:0.35 validation_0-mlogloss:0.979208 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950255 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.946396 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917151 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896374 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881344 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863679 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.845526 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828694 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818891 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807415 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.795644 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787195 [15] validation_0-merror:0.3 validation_0-mlogloss:0.782933 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773418 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765759 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760657 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754974 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74583 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740172 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727274 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719551 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71186 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709717 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.70248 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.703252 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.699494 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698162 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695469 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688495 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.683831 [33] validation_0-merror:0.25 validation_0-mlogloss:0.681612 [34] validation_0-merror:0.25 validation_0-mlogloss:0.681261 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.676999 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.675041 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.678595 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.681765 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.679299 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.680236 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.674069 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.67279 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.670531 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.66686 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.665375 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662984 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.663231 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661813 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662444 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662665 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.665672 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.667069 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.670757 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661813 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06215 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03157 [2] validation_0-merror:0.35 validation_0-mlogloss:0.998467 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96896 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938863 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919798 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897331 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881661 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855902 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.8438 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832436 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825642 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816644 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807265 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800492 [15] validation_0-merror:0.35 validation_0-mlogloss:0.793437 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793158 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.789633 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.785539 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78383 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779445 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.777995 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772734 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768748 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.771653 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.769026 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.76634 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.768254 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.76984 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.765724 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.765628 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767831 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.768619 [33] validation_0-merror:0.35 validation_0-mlogloss:0.765933 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.766934 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.763841 [36] validation_0-merror:0.35 validation_0-mlogloss:0.765782 [37] validation_0-merror:0.35 validation_0-mlogloss:0.771232 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.769652 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.768515 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.769448 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.763841 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06393 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03084 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999863 [3] validation_0-merror:0.4 validation_0-mlogloss:0.979868 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955011 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.942623 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.932829 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.924103 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.908857 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.896509 [10] validation_0-merror:0.3 validation_0-mlogloss:0.881788 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.868029 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.855755 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.846295 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.834735 [15] validation_0-merror:0.3 validation_0-mlogloss:0.832196 [16] validation_0-merror:0.3 validation_0-mlogloss:0.829068 [17] validation_0-merror:0.3 validation_0-mlogloss:0.821438 [18] validation_0-merror:0.3 validation_0-mlogloss:0.810904 [19] validation_0-merror:0.3 validation_0-mlogloss:0.804113 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.808356 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.803326 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.803003 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.797711 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.794107 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.79369 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.788926 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.787932 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.782289 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.780019 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779398 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.77707 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.775086 [33] validation_0-merror:0.3 validation_0-mlogloss:0.775741 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.776155 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.7774 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.781016 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.778454 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.775086 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05218 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01976 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987194 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959213 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923736 [5] validation_0-merror:0.3 validation_0-mlogloss:0.899843 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883497 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873307 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85699 [9] validation_0-merror:0.3 validation_0-mlogloss:0.844744 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833133 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818493 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.79748 [13] validation_0-merror:0.25 validation_0-mlogloss:0.780217 [14] validation_0-merror:0.25 validation_0-mlogloss:0.771137 [15] validation_0-merror:0.25 validation_0-mlogloss:0.760352 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.751775 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743761 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.735639 [19] validation_0-merror:0.25 validation_0-mlogloss:0.724295 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.720068 [21] validation_0-merror:0.25 validation_0-mlogloss:0.71507 [22] validation_0-merror:0.25 validation_0-mlogloss:0.710106 [23] validation_0-merror:0.25 validation_0-mlogloss:0.703529 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.699357 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.694696 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.691753 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.688813 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.687471 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.682237 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.679749 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.676442 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.673071 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.672752 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.672528 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.672614 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.67302 [37] validation_0-merror:0.25 validation_0-mlogloss:0.675689 [38] validation_0-merror:0.25 validation_0-mlogloss:0.676191 [39] validation_0-merror:0.25 validation_0-mlogloss:0.674203 Stopping. Best iteration: [34] validation_0-merror:0.233333 validation_0-mlogloss:0.672528 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05759 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03179 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00137 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.984316 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.960491 [5] validation_0-merror:0.35 validation_0-mlogloss:0.938798 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.925247 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.918696 [8] validation_0-merror:0.35 validation_0-mlogloss:0.906352 [9] validation_0-merror:0.35 validation_0-mlogloss:0.893675 [10] validation_0-merror:0.35 validation_0-mlogloss:0.880519 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866777 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.850229 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.838342 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.830745 [15] validation_0-merror:0.35 validation_0-mlogloss:0.824959 [16] validation_0-merror:0.35 validation_0-mlogloss:0.8162 [17] validation_0-merror:0.35 validation_0-mlogloss:0.810876 [18] validation_0-merror:0.35 validation_0-mlogloss:0.804549 [19] validation_0-merror:0.35 validation_0-mlogloss:0.798212 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.799749 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.796079 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.795491 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.792951 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.789876 [25] validation_0-merror:0.35 validation_0-mlogloss:0.788838 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.79183 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.792615 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.795082 [29] validation_0-merror:0.35 validation_0-mlogloss:0.794639 [30] validation_0-merror:0.35 validation_0-mlogloss:0.796489 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.788838 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06064 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03257 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997701 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976618 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956113 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930375 [6] validation_0-merror:0.35 validation_0-mlogloss:0.907855 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897625 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87681 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857909 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846678 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83845 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819035 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808022 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804445 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798988 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.78871 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.781327 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77839 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771866 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.765177 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767963 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763134 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.754565 [24] validation_0-merror:0.35 validation_0-mlogloss:0.749519 [25] validation_0-merror:0.35 validation_0-mlogloss:0.746838 [26] validation_0-merror:0.35 validation_0-mlogloss:0.745861 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744158 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.746058 [29] validation_0-merror:0.35 validation_0-mlogloss:0.745679 [30] validation_0-merror:0.35 validation_0-mlogloss:0.747592 [31] validation_0-merror:0.35 validation_0-mlogloss:0.748945 [32] validation_0-merror:0.35 validation_0-mlogloss:0.744675 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744158 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05596 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02161 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994682 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966924 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.958075 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.936527 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918495 [7] validation_0-merror:0.4 validation_0-mlogloss:0.899803 [8] validation_0-merror:0.4 validation_0-mlogloss:0.882298 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.86463 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854716 [11] validation_0-merror:0.35 validation_0-mlogloss:0.84188 [12] validation_0-merror:0.35 validation_0-mlogloss:0.832317 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823381 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816098 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816221 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.806027 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.796018 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789648 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782226 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773261 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763684 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.752755 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747748 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73762 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.735373 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.72439 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.719542 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.715223 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707008 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698461 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694088 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693202 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691502 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.688647 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.682353 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680427 [37] validation_0-merror:0.3 validation_0-mlogloss:0.677303 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677475 [39] validation_0-merror:0.3 validation_0-mlogloss:0.676713 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677328 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675552 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.671118 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66959 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.669447 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.669996 [46] validation_0-merror:0.3 validation_0-mlogloss:0.669327 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666343 [48] validation_0-merror:0.3 validation_0-mlogloss:0.664392 [49] validation_0-merror:0.3 validation_0-mlogloss:0.666135 [50] validation_0-merror:0.3 validation_0-mlogloss:0.662965 [51] validation_0-merror:0.3 validation_0-mlogloss:0.665007 [52] validation_0-merror:0.3 validation_0-mlogloss:0.665435 [53] validation_0-merror:0.3 validation_0-mlogloss:0.665298 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664758 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.663525 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.662965 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03632 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997965 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974944 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942803 [5] validation_0-merror:0.35 validation_0-mlogloss:0.922011 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899063 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883219 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.864367 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.849294 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.831559 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817001 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.811343 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.803528 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795155 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.781229 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.773749 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.771791 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.770989 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763901 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.760967 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.757486 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755481 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754388 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75373 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.750869 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.749557 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748041 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749798 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747179 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750796 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752953 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.753134 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.751099 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.75449 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.747179 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0598 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03266 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.994967 [3] validation_0-merror:0.3 validation_0-mlogloss:0.97865 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.947333 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924019 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905689 [7] validation_0-merror:0.35 validation_0-mlogloss:0.89331 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878621 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.869292 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851689 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845481 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830914 [13] validation_0-merror:0.3 validation_0-mlogloss:0.814679 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799059 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798772 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.789437 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782633 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772484 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765841 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762294 [21] validation_0-merror:0.3 validation_0-mlogloss:0.759066 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756725 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748936 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748138 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746331 [26] validation_0-merror:0.3 validation_0-mlogloss:0.74013 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.736536 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731119 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.729451 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728457 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.728397 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.72917 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.732068 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.735082 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.741974 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.738655 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.728397 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01076 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976546 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947758 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944416 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914714 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893383 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875629 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.856067 [9] validation_0-merror:0.3 validation_0-mlogloss:0.837417 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820573 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807127 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793275 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.779056 [14] validation_0-merror:0.3 validation_0-mlogloss:0.771876 [15] validation_0-merror:0.3 validation_0-mlogloss:0.767084 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75783 [17] validation_0-merror:0.3 validation_0-mlogloss:0.745851 [18] validation_0-merror:0.3 validation_0-mlogloss:0.739422 [19] validation_0-merror:0.3 validation_0-mlogloss:0.736295 [20] validation_0-merror:0.3 validation_0-mlogloss:0.728174 [21] validation_0-merror:0.3 validation_0-mlogloss:0.722155 [22] validation_0-merror:0.3 validation_0-mlogloss:0.71277 [23] validation_0-merror:0.3 validation_0-mlogloss:0.707796 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.701896 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.699014 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.691734 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.692176 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.687743 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.686111 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.681281 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.67445 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.669651 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.665366 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.66263 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.658824 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.658587 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.655866 [38] validation_0-merror:0.3 validation_0-mlogloss:0.6579 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.652713 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.652752 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.648661 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.647089 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.644357 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.642957 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.642457 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.642123 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.641773 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.641975 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.64371 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.644973 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.64633 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.644703 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.641773 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.06304 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02974 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998647 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96719 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934282 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914037 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894607 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880889 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.858978 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846385 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836152 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827488 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819417 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.80911 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.803725 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.792721 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.792538 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.789641 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78541 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786048 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784317 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.781962 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.777506 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.77234 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772498 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.769987 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765555 [27] validation_0-merror:0.35 validation_0-mlogloss:0.762528 [28] validation_0-merror:0.35 validation_0-mlogloss:0.764068 [29] validation_0-merror:0.35 validation_0-mlogloss:0.760855 [30] validation_0-merror:0.35 validation_0-mlogloss:0.766135 [31] validation_0-merror:0.35 validation_0-mlogloss:0.768855 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767142 [33] validation_0-merror:0.35 validation_0-mlogloss:0.761787 [34] validation_0-merror:0.35 validation_0-mlogloss:0.761529 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.760855 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06175 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03369 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00247 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980377 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950434 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.933366 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.914787 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.899345 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.881091 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.866929 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.855972 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842912 [12] validation_0-merror:0.3 validation_0-mlogloss:0.827812 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817364 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802167 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.797774 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.79325 [17] validation_0-merror:0.3 validation_0-mlogloss:0.78701 [18] validation_0-merror:0.3 validation_0-mlogloss:0.780568 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771408 [20] validation_0-merror:0.3 validation_0-mlogloss:0.772993 [21] validation_0-merror:0.3 validation_0-mlogloss:0.773198 [22] validation_0-merror:0.3 validation_0-mlogloss:0.767924 [23] validation_0-merror:0.3 validation_0-mlogloss:0.762365 [24] validation_0-merror:0.3 validation_0-mlogloss:0.760442 [25] validation_0-merror:0.3 validation_0-mlogloss:0.756926 [26] validation_0-merror:0.3 validation_0-mlogloss:0.752498 [27] validation_0-merror:0.3 validation_0-mlogloss:0.750126 [28] validation_0-merror:0.3 validation_0-mlogloss:0.74482 [29] validation_0-merror:0.3 validation_0-mlogloss:0.740353 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738196 [31] validation_0-merror:0.3 validation_0-mlogloss:0.735795 [32] validation_0-merror:0.3 validation_0-mlogloss:0.732507 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735674 [34] validation_0-merror:0.3 validation_0-mlogloss:0.733839 [35] validation_0-merror:0.3 validation_0-mlogloss:0.737031 [36] validation_0-merror:0.3 validation_0-mlogloss:0.734119 [37] validation_0-merror:0.3 validation_0-mlogloss:0.731895 [38] validation_0-merror:0.3 validation_0-mlogloss:0.729448 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727091 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725861 [41] validation_0-merror:0.3 validation_0-mlogloss:0.72489 [42] validation_0-merror:0.3 validation_0-mlogloss:0.723077 [43] validation_0-merror:0.3 validation_0-mlogloss:0.725735 [44] validation_0-merror:0.3 validation_0-mlogloss:0.729322 [45] validation_0-merror:0.3 validation_0-mlogloss:0.728617 [46] validation_0-merror:0.3 validation_0-mlogloss:0.726453 [47] validation_0-merror:0.3 validation_0-mlogloss:0.724605 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.723077 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05441 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02315 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989846 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964462 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932654 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.908252 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891743 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87941 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.861779 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850568 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.838917 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826635 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804412 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789401 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780418 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771938 [16] validation_0-merror:0.35 validation_0-mlogloss:0.763631 [17] validation_0-merror:0.35 validation_0-mlogloss:0.753773 [18] validation_0-merror:0.35 validation_0-mlogloss:0.745108 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.738006 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732673 [21] validation_0-merror:0.3 validation_0-mlogloss:0.727355 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722296 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.716742 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.712739 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707942 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.703303 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.696751 [28] validation_0-merror:0.3 validation_0-mlogloss:0.69702 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693002 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.688047 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.689067 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687056 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.687778 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.686186 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.685095 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.683255 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.681055 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.678785 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.67885 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.677635 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.676469 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.674949 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.676963 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.679792 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.680287 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.680094 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.680957 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.674949 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0569 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03084 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998853 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.980749 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955913 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.934461 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918145 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.90756 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.896949 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.885798 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.874071 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.856704 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.840882 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.832183 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.823463 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.8156 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805613 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799836 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79244 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.787327 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785958 [21] validation_0-merror:0.35 validation_0-mlogloss:0.784703 [22] validation_0-merror:0.35 validation_0-mlogloss:0.782856 [23] validation_0-merror:0.35 validation_0-mlogloss:0.777951 [24] validation_0-merror:0.35 validation_0-mlogloss:0.776404 [25] validation_0-merror:0.35 validation_0-mlogloss:0.774561 [26] validation_0-merror:0.35 validation_0-mlogloss:0.776134 [27] validation_0-merror:0.35 validation_0-mlogloss:0.773 [28] validation_0-merror:0.35 validation_0-mlogloss:0.768361 [29] validation_0-merror:0.35 validation_0-mlogloss:0.769414 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.771725 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.773655 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774641 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.775492 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.768361 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05932 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03257 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999498 [3] validation_0-merror:0.35 validation_0-mlogloss:0.97868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95678 [5] validation_0-merror:0.35 validation_0-mlogloss:0.932393 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.916957 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.904184 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885512 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869988 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855345 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.838826 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.819459 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.807171 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.801521 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.78922 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.782142 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.779592 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.772443 [19] validation_0-merror:0.3 validation_0-mlogloss:0.766714 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761696 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757613 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752567 [23] validation_0-merror:0.3 validation_0-mlogloss:0.745094 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74028 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.73523 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732203 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73131 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726954 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.726642 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.726723 [31] validation_0-merror:0.35 validation_0-mlogloss:0.729761 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.725359 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72426 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.720342 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.718495 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722014 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.722888 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.721028 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.721816 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.719603 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.718495 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02883 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.998949 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973125 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963735 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940205 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.923498 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.906375 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890284 [9] validation_0-merror:0.4 validation_0-mlogloss:0.873573 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.864019 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.852828 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.840314 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.831794 [14] validation_0-merror:0.35 validation_0-mlogloss:0.824538 [15] validation_0-merror:0.35 validation_0-mlogloss:0.822854 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.810754 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.799353 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794292 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789085 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.778239 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.770209 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760206 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.751965 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743154 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.740753 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.73228 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.723632 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.717924 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712702 [30] validation_0-merror:0.3 validation_0-mlogloss:0.707874 [31] validation_0-merror:0.3 validation_0-mlogloss:0.7009 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70024 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.694598 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694385 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691874 [36] validation_0-merror:0.3 validation_0-mlogloss:0.690995 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688778 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.690091 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686742 [40] validation_0-merror:0.3 validation_0-mlogloss:0.688438 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688648 [42] validation_0-merror:0.3 validation_0-mlogloss:0.68684 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683762 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680389 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679697 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.680878 [47] validation_0-merror:0.3 validation_0-mlogloss:0.677499 [48] validation_0-merror:0.3 validation_0-mlogloss:0.673671 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677126 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67235 [51] validation_0-merror:0.3 validation_0-mlogloss:0.675778 [52] validation_0-merror:0.3 validation_0-mlogloss:0.677369 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677318 [54] validation_0-merror:0.3 validation_0-mlogloss:0.678366 [55] validation_0-merror:0.3 validation_0-mlogloss:0.680238 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.67235 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997853 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976479 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943022 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922599 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906097 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891193 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873059 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.855836 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837361 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824163 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820043 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808588 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.803368 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.792409 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784532 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.780324 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776923 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772461 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766699 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.759068 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757878 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.757601 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760861 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759268 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755991 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.751204 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75064 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752915 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753587 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752388 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746539 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746072 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.749632 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.75286 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.748024 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.752654 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.752972 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746072 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03793 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00177 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.979205 [4] validation_0-merror:0.3 validation_0-mlogloss:0.952554 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.927349 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.909975 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.897356 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88223 [9] validation_0-merror:0.35 validation_0-mlogloss:0.871216 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852377 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.844189 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831038 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816423 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.803542 [15] validation_0-merror:0.3 validation_0-mlogloss:0.802804 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794613 [17] validation_0-merror:0.3 validation_0-mlogloss:0.789712 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.782398 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774316 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767264 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.760698 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755889 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748074 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746062 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741617 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735966 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731584 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731237 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727035 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723036 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718714 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716911 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.717533 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.715027 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.716745 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.714281 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.714031 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.710993 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.709296 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.703933 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.700677 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.702217 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.698751 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.69959 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.699388 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.69899 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699731 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.70312 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.698751 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01332 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98527 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953782 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922187 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902145 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883997 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865518 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847842 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.834009 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.818356 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805176 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790715 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782383 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778762 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767058 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.756238 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74975 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.745263 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.735047 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.730357 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.722233 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.716787 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.709109 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.706318 [26] validation_0-merror:0.3 validation_0-mlogloss:0.701126 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.699335 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.693853 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691108 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688522 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.680964 [32] validation_0-merror:0.3 validation_0-mlogloss:0.677082 [33] validation_0-merror:0.3 validation_0-mlogloss:0.674 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.672559 [35] validation_0-merror:0.3 validation_0-mlogloss:0.668392 [36] validation_0-merror:0.3 validation_0-mlogloss:0.668576 [37] validation_0-merror:0.3 validation_0-mlogloss:0.664736 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667262 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.664766 [40] validation_0-merror:0.3 validation_0-mlogloss:0.665242 [41] validation_0-merror:0.3 validation_0-mlogloss:0.659147 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.657196 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.655464 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.653637 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.649668 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.649262 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.648337 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.648259 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.650084 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651431 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.652549 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.651917 [53] validation_0-merror:0.3 validation_0-mlogloss:0.655912 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.648259 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0633 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0336 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00065 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966998 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935619 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.91475 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898248 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882925 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858495 [9] validation_0-merror:0.35 validation_0-mlogloss:0.842969 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831186 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81937 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812149 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800906 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796995 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788971 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.786373 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780991 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776581 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775505 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768928 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766175 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760493 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755799 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756689 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755441 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752768 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751563 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754624 [29] validation_0-merror:0.35 validation_0-mlogloss:0.754862 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.760123 [31] validation_0-merror:0.35 validation_0-mlogloss:0.764626 [32] validation_0-merror:0.35 validation_0-mlogloss:0.766248 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.751563 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03437 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0044 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975991 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943538 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.920731 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.898602 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883867 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868628 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855105 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.840044 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.827967 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.814861 [13] validation_0-merror:0.25 validation_0-mlogloss:0.802972 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.789698 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.786698 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.781663 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.775925 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.76927 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.76342 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.762379 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.759645 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.754053 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.747193 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.743243 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.739959 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737816 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.734801 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.731018 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.724093 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726229 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72321 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.719366 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.722936 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.721438 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.722281 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.721307 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.720885 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.719366 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02263 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992587 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966848 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937994 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913574 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895292 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886054 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866854 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855945 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84371 [11] validation_0-merror:0.35 validation_0-mlogloss:0.82641 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809101 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797997 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787183 [15] validation_0-merror:0.35 validation_0-mlogloss:0.776644 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766441 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.757689 [18] validation_0-merror:0.3 validation_0-mlogloss:0.748061 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741449 [20] validation_0-merror:0.3 validation_0-mlogloss:0.732751 [21] validation_0-merror:0.3 validation_0-mlogloss:0.728679 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.723686 [23] validation_0-merror:0.3 validation_0-mlogloss:0.718269 [24] validation_0-merror:0.3 validation_0-mlogloss:0.713971 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706417 [26] validation_0-merror:0.3 validation_0-mlogloss:0.700827 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69593 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.694261 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.689384 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.68434 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.681089 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.680129 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.676745 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.675686 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.675572 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.673715 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.6737 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.672902 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.671421 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.672783 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.671112 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.672752 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674085 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672591 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.673745 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.673232 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.671112 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05932 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03242 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999134 [3] validation_0-merror:0.4 validation_0-mlogloss:0.980459 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955998 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.933953 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.917603 [7] validation_0-merror:0.35 validation_0-mlogloss:0.90927 [8] validation_0-merror:0.35 validation_0-mlogloss:0.897334 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.884626 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.875175 [11] validation_0-merror:0.35 validation_0-mlogloss:0.85952 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.845003 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.83308 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.827298 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.816015 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808849 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.807214 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.801311 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.797701 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.792135 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.788083 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.783219 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.779853 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77798 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.775944 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.776839 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.776577 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.775332 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.775248 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.776865 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.777425 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.775708 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.77705 [34] validation_0-merror:0.35 validation_0-mlogloss:0.777474 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.775248 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.0351 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00078 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981908 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.958998 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.93182 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.916621 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.901446 [8] validation_0-merror:0.3 validation_0-mlogloss:0.881195 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864802 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848292 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832194 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811615 [13] validation_0-merror:0.3 validation_0-mlogloss:0.800652 [14] validation_0-merror:0.3 validation_0-mlogloss:0.793005 [15] validation_0-merror:0.3 validation_0-mlogloss:0.781016 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769503 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.761968 [18] validation_0-merror:0.3 validation_0-mlogloss:0.75637 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753119 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.750085 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74828 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742925 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736729 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729629 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726044 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724228 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720749 [28] validation_0-merror:0.3 validation_0-mlogloss:0.716759 [29] validation_0-merror:0.3 validation_0-mlogloss:0.71483 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714776 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717609 [32] validation_0-merror:0.3 validation_0-mlogloss:0.71475 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712662 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711675 [35] validation_0-merror:0.3 validation_0-mlogloss:0.710037 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712381 [37] validation_0-merror:0.3 validation_0-mlogloss:0.715354 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713401 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.712937 [40] validation_0-merror:0.3 validation_0-mlogloss:0.710809 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.710037 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972639 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964555 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.938156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919305 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904021 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887284 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870465 [10] validation_0-merror:0.4 validation_0-mlogloss:0.859862 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844928 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831485 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815095 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812968 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80069 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788928 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783221 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76031 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752812 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7493 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739199 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740064 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733548 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [28] validation_0-merror:0.3 validation_0-mlogloss:0.725033 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721862 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716111 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711207 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711786 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70819 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707156 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7074 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704083 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707038 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704937 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.708234 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.704285 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701627 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.696899 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.698038 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.695907 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697822 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695936 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [49] validation_0-merror:0.3 validation_0-mlogloss:0.698698 [50] validation_0-merror:0.3 validation_0-mlogloss:0.698993 [51] validation_0-merror:0.3 validation_0-mlogloss:0.702585 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.703602 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.703442 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04297 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982471 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950579 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930601 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912368 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893735 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87568 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859966 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842686 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833959 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829296 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82016 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813224 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806181 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800177 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794883 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787202 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775524 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76834 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766956 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765279 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.76444 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761343 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759745 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757836 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754714 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752507 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752502 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749353 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747138 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746323 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748018 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750223 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.745648 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749624 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749421 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.748463 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.745499 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.742384 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.743051 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.742577 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.743042 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.743674 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.743435 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748033 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747086 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911602 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8983 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883418 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870832 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837061 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82408 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797392 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795548 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78884 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782301 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.768802 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765972 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759306 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750695 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747612 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737814 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736958 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732947 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72815 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722253 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721421 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706613 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706971 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.708223 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706233 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705341 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698163 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696036 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69226 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686393 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683997 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685793 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681404 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67977 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678228 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678334 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681006 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682115 [50] validation_0-merror:0.3 validation_0-mlogloss:0.678277 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01258 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987735 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957647 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950047 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91936 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897395 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.879686 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864528 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845539 [10] validation_0-merror:0.35 validation_0-mlogloss:0.831532 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817139 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806432 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797269 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787938 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786371 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778145 [17] validation_0-merror:0.35 validation_0-mlogloss:0.766918 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759846 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755077 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746052 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74287 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731268 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726062 [24] validation_0-merror:0.3 validation_0-mlogloss:0.716503 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715166 [26] validation_0-merror:0.3 validation_0-mlogloss:0.707255 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706284 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702216 [29] validation_0-merror:0.3 validation_0-mlogloss:0.70004 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695526 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689349 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685539 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.682758 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680424 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.675206 [36] validation_0-merror:0.3 validation_0-mlogloss:0.675045 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674122 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675811 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671313 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673462 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.668541 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.668188 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.667264 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.665672 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.663571 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.661282 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.659112 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.656216 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.65588 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656093 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.657083 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.656346 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.658707 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.658622 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.65588 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02716 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997132 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967021 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935384 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916334 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.901325 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884574 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.859724 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845253 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836565 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827451 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820745 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.811755 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80711 [15] validation_0-merror:0.4 validation_0-mlogloss:0.799821 [16] validation_0-merror:0.4 validation_0-mlogloss:0.796741 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790772 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783311 [19] validation_0-merror:0.4 validation_0-mlogloss:0.784541 [20] validation_0-merror:0.4 validation_0-mlogloss:0.779062 [21] validation_0-merror:0.4 validation_0-mlogloss:0.776136 [22] validation_0-merror:0.4 validation_0-mlogloss:0.772612 [23] validation_0-merror:0.4 validation_0-mlogloss:0.771289 [24] validation_0-merror:0.4 validation_0-mlogloss:0.772405 [25] validation_0-merror:0.4 validation_0-mlogloss:0.770293 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.766292 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.765329 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763952 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.762259 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.765575 [31] validation_0-merror:0.4 validation_0-mlogloss:0.765074 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.765302 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.765806 [34] validation_0-merror:0.4 validation_0-mlogloss:0.766221 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.762259 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06736 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03604 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00298 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974578 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.946013 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.921892 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.901509 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.886389 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868291 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855427 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.84201 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.832637 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.818104 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.805956 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.796926 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.793975 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.789595 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.784321 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.775464 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767447 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764236 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.761181 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753587 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.74464 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.741619 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.738043 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736223 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.730591 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.728381 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.724079 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.723761 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.718004 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.71177 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.717932 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.715899 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.71934 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.715469 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.715159 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.71177 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05701 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994111 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96959 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940245 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914816 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895065 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.883695 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863135 [9] validation_0-merror:0.35 validation_0-mlogloss:0.853334 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83866 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.821838 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803404 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79306 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784026 [15] validation_0-merror:0.3 validation_0-mlogloss:0.774904 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764314 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.756037 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746058 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738754 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.731008 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.725094 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.721564 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.713564 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.711121 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.702886 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.70127 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.698706 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699167 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696784 [30] validation_0-merror:0.3 validation_0-mlogloss:0.697388 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694559 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692689 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.690847 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.691704 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.690004 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688639 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686642 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685825 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683813 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685467 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.684773 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.685803 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.685797 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688731 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683813 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03123 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00053 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.981541 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.950761 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.929801 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.914656 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.907994 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.896734 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.884112 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.872596 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.862247 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.848487 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.8364 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.82823 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.817544 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.809864 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.807052 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.803754 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.799201 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.797787 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.795132 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.791059 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.787215 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.786204 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.784473 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.786132 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.787285 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.786581 [29] validation_0-merror:0.4 validation_0-mlogloss:0.786362 [30] validation_0-merror:0.4 validation_0-mlogloss:0.788063 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.784473 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06214 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996058 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975585 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.952857 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926139 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.910484 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897444 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.87867 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863826 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.845722 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828408 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81452 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803521 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79857 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.789913 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775338 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765342 [18] validation_0-merror:0.3 validation_0-mlogloss:0.762482 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756569 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.753084 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.753871 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747433 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737502 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731484 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.729564 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.728366 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722318 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71762 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.711932 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.713371 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.711389 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.707909 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.706279 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.704717 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702514 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705668 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.707305 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.706343 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.705779 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.704402 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702514 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02709 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997797 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970545 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961793 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.939563 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921597 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903881 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885888 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864563 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851558 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837323 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823874 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811944 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802237 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800252 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787881 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.776584 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77117 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767456 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760578 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753228 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.750189 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744212 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733618 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.732867 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725026 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722141 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715908 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.714761 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708066 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703774 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701829 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699772 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699027 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.694995 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696241 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694674 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.697514 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.696678 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.698785 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.698521 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697626 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.694674 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06237 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03979 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00542 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981143 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949636 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931461 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912704 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896518 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879604 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863222 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845864 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.836329 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829403 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817846 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810734 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.804684 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799143 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790672 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786369 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779631 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775745 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771031 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.769682 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766959 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765911 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764389 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.763426 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.76097 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.756997 [29] validation_0-merror:0.4 validation_0-mlogloss:0.755139 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.755197 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.75236 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75145 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.751232 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.754029 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.75152 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.749968 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.749717 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.74969 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.75031 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.748021 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.74499 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.745509 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.745259 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.746568 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.745034 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.745599 Stopping. Best iteration: [41] validation_0-merror:0.383333 validation_0-mlogloss:0.74499 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928075 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912282 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897811 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879006 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867619 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848356 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834958 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822842 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808465 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797099 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795265 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789023 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783688 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.777234 [19] validation_0-merror:0.3 validation_0-mlogloss:0.772994 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767138 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761956 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761437 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755525 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755058 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751414 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745797 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739081 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737517 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.732287 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.729494 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726714 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727301 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727031 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72492 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.723026 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717299 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.716727 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.713958 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711892 [40] validation_0-merror:0.35 validation_0-mlogloss:0.706067 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.703931 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.705067 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.700589 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.696309 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.690414 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.690613 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.691497 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.690884 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.692506 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.68868 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.687008 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.683168 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.684278 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.689713 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.688831 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689288 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.690255 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.683168 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01395 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985301 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957111 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94899 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921943 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905768 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886583 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869548 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847951 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834539 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821748 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808833 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800496 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791738 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786861 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777741 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766056 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76029 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755021 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74766 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.733269 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725346 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.717459 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.715048 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709717 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.709583 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706482 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705087 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700845 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696997 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.693703 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.69142 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690663 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.685228 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683762 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681668 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.684281 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682511 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.684255 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.680396 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.679473 [43] validation_0-merror:0.3 validation_0-mlogloss:0.67848 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677089 [45] validation_0-merror:0.3 validation_0-mlogloss:0.674604 [46] validation_0-merror:0.3 validation_0-mlogloss:0.673416 [47] validation_0-merror:0.3 validation_0-mlogloss:0.67139 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.667601 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.66716 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.667715 [51] validation_0-merror:0.3 validation_0-mlogloss:0.669359 [52] validation_0-merror:0.3 validation_0-mlogloss:0.669008 [53] validation_0-merror:0.3 validation_0-mlogloss:0.669918 [54] validation_0-merror:0.3 validation_0-mlogloss:0.671343 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.66716 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0279 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997754 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966974 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937657 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.919284 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904242 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.888285 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.866764 [9] validation_0-merror:0.4 validation_0-mlogloss:0.852036 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839558 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827587 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.821264 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812073 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807459 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.79931 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79581 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791014 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78673 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783359 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781039 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775424 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769688 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766505 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765932 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763562 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760261 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756401 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752206 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751195 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753473 [31] validation_0-merror:0.35 validation_0-mlogloss:0.753803 [32] validation_0-merror:0.35 validation_0-mlogloss:0.753009 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752065 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.751875 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.751195 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06594 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03723 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00757 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.98003 [4] validation_0-merror:0.35 validation_0-mlogloss:0.959036 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936189 [6] validation_0-merror:0.3 validation_0-mlogloss:0.916732 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903786 [8] validation_0-merror:0.3 validation_0-mlogloss:0.888259 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870916 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857655 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.846503 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.832415 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812389 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808427 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803739 [17] validation_0-merror:0.3 validation_0-mlogloss:0.796777 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791406 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782243 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.779885 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.778238 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.771972 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.766603 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767011 [25] validation_0-merror:0.3 validation_0-mlogloss:0.760232 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759818 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.753661 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750579 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748772 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751677 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.745203 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739013 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73929 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.735182 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734244 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.732413 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.73178 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731021 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.731037 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.726193 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724287 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.72476 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.724935 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.725816 [45] validation_0-merror:0.3 validation_0-mlogloss:0.721909 [46] validation_0-merror:0.3 validation_0-mlogloss:0.717368 [47] validation_0-merror:0.3 validation_0-mlogloss:0.717587 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.720199 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.723901 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.717444 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.718076 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.717368 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02396 [2] validation_0-merror:0.35 validation_0-mlogloss:0.994106 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.969025 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940978 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917571 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898006 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884828 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862865 [9] validation_0-merror:0.3 validation_0-mlogloss:0.850161 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836061 [11] validation_0-merror:0.3 validation_0-mlogloss:0.818805 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.7999 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785025 [14] validation_0-merror:0.3 validation_0-mlogloss:0.776403 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.765961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.755298 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.746747 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.736469 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.728021 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.720551 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.717713 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.711896 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.706784 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.702704 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.694225 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.692622 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.6904 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.689253 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.685775 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.683509 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.677872 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.677406 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.673304 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.675309 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.672749 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.67177 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.670098 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.670587 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.669327 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.671899 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.673255 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673047 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.671983 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.676352 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.669327 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05929 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00051 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.982945 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.932197 [6] validation_0-merror:0.4 validation_0-mlogloss:0.91809 [7] validation_0-merror:0.4 validation_0-mlogloss:0.911624 [8] validation_0-merror:0.4 validation_0-mlogloss:0.901495 [9] validation_0-merror:0.4 validation_0-mlogloss:0.887411 [10] validation_0-merror:0.4 validation_0-mlogloss:0.874521 [11] validation_0-merror:0.4 validation_0-mlogloss:0.864427 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.851117 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.838411 [14] validation_0-merror:0.4 validation_0-mlogloss:0.830731 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.819003 [16] validation_0-merror:0.4 validation_0-mlogloss:0.81112 [17] validation_0-merror:0.4 validation_0-mlogloss:0.807789 [18] validation_0-merror:0.4 validation_0-mlogloss:0.805144 [19] validation_0-merror:0.4 validation_0-mlogloss:0.803297 [20] validation_0-merror:0.4 validation_0-mlogloss:0.79974 [21] validation_0-merror:0.4 validation_0-mlogloss:0.797889 [22] validation_0-merror:0.4 validation_0-mlogloss:0.793791 [23] validation_0-merror:0.4 validation_0-mlogloss:0.789807 [24] validation_0-merror:0.4 validation_0-mlogloss:0.787606 [25] validation_0-merror:0.4 validation_0-mlogloss:0.785989 [26] validation_0-merror:0.4 validation_0-mlogloss:0.784604 [27] validation_0-merror:0.4 validation_0-mlogloss:0.783298 [28] validation_0-merror:0.4 validation_0-mlogloss:0.782133 [29] validation_0-merror:0.4 validation_0-mlogloss:0.780989 [30] validation_0-merror:0.4 validation_0-mlogloss:0.782526 [31] validation_0-merror:0.4 validation_0-mlogloss:0.782118 [32] validation_0-merror:0.4 validation_0-mlogloss:0.781389 [33] validation_0-merror:0.4 validation_0-mlogloss:0.781955 [34] validation_0-merror:0.4 validation_0-mlogloss:0.782287 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.780989 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06678 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03173 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00069 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.98049 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956083 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927114 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911418 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900697 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.881699 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865138 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.8482 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831211 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813909 [13] validation_0-merror:0.3 validation_0-mlogloss:0.802252 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794898 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787862 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773919 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763979 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760813 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75035 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743372 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741627 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734238 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726288 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719658 [25] validation_0-merror:0.3 validation_0-mlogloss:0.714214 [26] validation_0-merror:0.3 validation_0-mlogloss:0.711429 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707548 [28] validation_0-merror:0.3 validation_0-mlogloss:0.701304 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699988 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70013 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698704 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697526 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696227 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.694301 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695687 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.698142 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695733 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694568 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693077 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690957 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.690372 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.688129 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.68811 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.688631 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.689306 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.689301 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.689214 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.689124 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.68811 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05651 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02134 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.991782 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958686 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951365 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927162 [6] validation_0-merror:0.35 validation_0-mlogloss:0.907929 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891645 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.876056 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857781 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.846732 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833715 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820869 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809571 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800914 [15] validation_0-merror:0.35 validation_0-mlogloss:0.80222 [16] validation_0-merror:0.35 validation_0-mlogloss:0.788359 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778866 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771327 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763456 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756818 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745703 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.734416 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725827 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718969 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715436 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702514 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [28] validation_0-merror:0.3 validation_0-mlogloss:0.69533 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.68766 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.680395 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.676687 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.676425 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.67377 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.671077 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.667527 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.664794 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.661727 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.663843 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.659602 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.662097 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.660501 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.66004 [43] validation_0-merror:0.3 validation_0-mlogloss:0.65837 [44] validation_0-merror:0.3 validation_0-mlogloss:0.656619 [45] validation_0-merror:0.3 validation_0-mlogloss:0.65409 [46] validation_0-merror:0.3 validation_0-mlogloss:0.654527 [47] validation_0-merror:0.3 validation_0-mlogloss:0.652429 [48] validation_0-merror:0.3 validation_0-mlogloss:0.652529 [49] validation_0-merror:0.3 validation_0-mlogloss:0.654441 [50] validation_0-merror:0.3 validation_0-mlogloss:0.653795 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.653591 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.65339 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.652429 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05889 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.03307 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.993996 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9679 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937053 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914708 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891322 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877178 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857641 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837953 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.82387 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81367 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809501 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800239 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796232 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784535 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.779564 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776931 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775537 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774075 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.773133 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763033 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763077 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759548 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759141 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759229 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754925 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.74989 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743361 [29] validation_0-merror:0.3 validation_0-mlogloss:0.744383 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.743137 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.741605 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740415 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.743558 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.749325 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.751307 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.745674 [37] validation_0-merror:0.35 validation_0-mlogloss:0.747761 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740415 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06067 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.03292 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.993709 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.969517 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937038 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915656 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900571 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887567 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871802 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859815 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845133 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834551 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820604 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808676 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792017 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785848 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775904 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.771994 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763911 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758837 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758036 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.757447 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.752149 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740703 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740253 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738796 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.730358 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728813 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726087 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721715 [30] validation_0-merror:0.3 validation_0-mlogloss:0.720214 [31] validation_0-merror:0.3 validation_0-mlogloss:0.724026 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722989 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.727043 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.725802 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.729239 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.720214 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05201 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979937 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950287 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948911 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.920002 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897435 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884064 [8] validation_0-merror:0.35 validation_0-mlogloss:0.869406 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852035 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834237 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828554 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81536 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80101 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792631 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789544 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78024 [17] validation_0-merror:0.3 validation_0-mlogloss:0.773357 [18] validation_0-merror:0.3 validation_0-mlogloss:0.768472 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762704 [20] validation_0-merror:0.3 validation_0-mlogloss:0.752155 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747374 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738621 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726531 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719445 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715951 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709131 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711489 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709328 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707654 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705361 [31] validation_0-merror:0.3 validation_0-mlogloss:0.698325 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692752 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696311 [34] validation_0-merror:0.3 validation_0-mlogloss:0.695373 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692662 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691071 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69399 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695843 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695451 [40] validation_0-merror:0.3 validation_0-mlogloss:0.696713 [41] validation_0-merror:0.3 validation_0-mlogloss:0.693554 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.691071 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06159 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03394 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00561 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975033 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947495 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92905 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908555 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.892343 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867056 [9] validation_0-merror:0.35 validation_0-mlogloss:0.856281 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.848815 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841042 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834015 [13] validation_0-merror:0.35 validation_0-mlogloss:0.823538 [14] validation_0-merror:0.35 validation_0-mlogloss:0.816565 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803781 [16] validation_0-merror:0.35 validation_0-mlogloss:0.804668 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803737 [18] validation_0-merror:0.35 validation_0-mlogloss:0.797085 [19] validation_0-merror:0.35 validation_0-mlogloss:0.793789 [20] validation_0-merror:0.35 validation_0-mlogloss:0.791166 [21] validation_0-merror:0.35 validation_0-mlogloss:0.788034 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.781921 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.780401 [24] validation_0-merror:0.35 validation_0-mlogloss:0.781517 [25] validation_0-merror:0.35 validation_0-mlogloss:0.781485 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.779146 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778578 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.779455 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.777086 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.778478 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.780353 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.782429 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.778793 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.781065 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.777086 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03121 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00144 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981523 [4] validation_0-merror:0.35 validation_0-mlogloss:0.957279 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.948579 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.939206 [7] validation_0-merror:0.35 validation_0-mlogloss:0.930944 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.91327 [9] validation_0-merror:0.35 validation_0-mlogloss:0.902749 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.888242 [11] validation_0-merror:0.35 validation_0-mlogloss:0.873266 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.861545 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.855912 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.845928 [15] validation_0-merror:0.3 validation_0-mlogloss:0.845771 [16] validation_0-merror:0.3 validation_0-mlogloss:0.840715 [17] validation_0-merror:0.3 validation_0-mlogloss:0.833014 [18] validation_0-merror:0.3 validation_0-mlogloss:0.821871 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.814035 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.818377 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.813473 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.813404 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.807094 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.803613 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.80264 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.797771 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.798058 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.793665 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.790814 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.78888 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.786348 [32] validation_0-merror:0.3 validation_0-mlogloss:0.783849 [33] validation_0-merror:0.3 validation_0-mlogloss:0.783102 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.783735 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.784799 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.787122 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.785227 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.784145 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.783102 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05266 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02218 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989808 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961731 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927659 [5] validation_0-merror:0.3 validation_0-mlogloss:0.903301 [6] validation_0-merror:0.3 validation_0-mlogloss:0.887817 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.876577 [8] validation_0-merror:0.3 validation_0-mlogloss:0.860424 [9] validation_0-merror:0.3 validation_0-mlogloss:0.848102 [10] validation_0-merror:0.3 validation_0-mlogloss:0.839224 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822659 [12] validation_0-merror:0.3 validation_0-mlogloss:0.801337 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.784214 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.775826 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.76505 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.755368 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.749185 [18] validation_0-merror:0.25 validation_0-mlogloss:0.740419 [19] validation_0-merror:0.25 validation_0-mlogloss:0.728949 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.724246 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.719552 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.717273 [23] validation_0-merror:0.25 validation_0-mlogloss:0.711648 [24] validation_0-merror:0.25 validation_0-mlogloss:0.709024 [25] validation_0-merror:0.25 validation_0-mlogloss:0.703474 [26] validation_0-merror:0.25 validation_0-mlogloss:0.701955 [27] validation_0-merror:0.25 validation_0-mlogloss:0.696493 [28] validation_0-merror:0.25 validation_0-mlogloss:0.696715 [29] validation_0-merror:0.25 validation_0-mlogloss:0.69214 [30] validation_0-merror:0.25 validation_0-mlogloss:0.689243 [31] validation_0-merror:0.25 validation_0-mlogloss:0.68367 [32] validation_0-merror:0.25 validation_0-mlogloss:0.681924 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.677184 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.671843 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.670178 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.669707 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.667626 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.666038 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.666999 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.665559 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.664445 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.660819 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.66341 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.662693 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.664294 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.667066 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.666586 Stopping. Best iteration: [42] validation_0-merror:0.233333 validation_0-mlogloss:0.660819 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05714 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03128 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00554 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.98941 [4] validation_0-merror:0.4 validation_0-mlogloss:0.959219 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935322 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.92309 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.918837 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.905457 [9] validation_0-merror:0.35 validation_0-mlogloss:0.892072 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.879664 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.867886 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.853313 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.841284 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.834471 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.829121 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.819214 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.815831 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.81511 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.812687 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.812932 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.809885 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.80908 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.805531 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.801551 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.797942 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.801047 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.804486 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.804411 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.805201 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.806182 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.797942 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06064 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03458 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999883 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980447 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.957892 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.935769 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.912327 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903188 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.881689 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863614 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851966 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840075 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818347 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806482 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801872 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797873 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.786842 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781323 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775938 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770518 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765408 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769047 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761518 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.757562 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.754288 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751476 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750058 [27] validation_0-merror:0.35 validation_0-mlogloss:0.747153 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742835 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742925 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.741565 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.743605 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744271 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744143 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738552 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741276 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.741994 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.743191 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.743248 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.744447 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738552 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05596 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02161 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994682 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966924 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.958075 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.936569 [6] validation_0-merror:0.4 validation_0-mlogloss:0.918525 [7] validation_0-merror:0.4 validation_0-mlogloss:0.899814 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.882309 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.864499 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.856494 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843567 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.834147 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.824957 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.8172 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818139 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.806777 [17] validation_0-merror:0.35 validation_0-mlogloss:0.797755 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791468 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784127 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.775549 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767867 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757285 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.74744 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73761 [25] validation_0-merror:0.35 validation_0-mlogloss:0.736413 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.725748 [27] validation_0-merror:0.35 validation_0-mlogloss:0.721542 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716006 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.709358 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700255 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.696001 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69554 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694596 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690778 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.68479 [36] validation_0-merror:0.3 validation_0-mlogloss:0.684055 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.682735 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685317 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683694 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.687061 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.684272 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679915 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676967 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.674028 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.67125 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671447 [47] validation_0-merror:0.3 validation_0-mlogloss:0.667763 [48] validation_0-merror:0.3 validation_0-mlogloss:0.666496 [49] validation_0-merror:0.3 validation_0-mlogloss:0.668129 [50] validation_0-merror:0.3 validation_0-mlogloss:0.665891 [51] validation_0-merror:0.3 validation_0-mlogloss:0.666251 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.666609 [53] validation_0-merror:0.3 validation_0-mlogloss:0.668051 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.667206 [55] validation_0-merror:0.3 validation_0-mlogloss:0.666239 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.665891 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03632 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997965 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975765 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942151 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921533 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898623 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881094 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.861943 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.846965 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.82923 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814812 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.809584 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.801827 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.794061 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780909 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.773896 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.772012 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.771368 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.766393 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.763786 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760543 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759314 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.757328 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.758831 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.756051 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.752848 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751464 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753028 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752363 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755031 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.756008 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.75639 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.751464 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0598 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03266 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.994967 [3] validation_0-merror:0.3 validation_0-mlogloss:0.97865 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.947333 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923469 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905192 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892772 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878155 [9] validation_0-merror:0.35 validation_0-mlogloss:0.864212 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846865 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840024 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827343 [13] validation_0-merror:0.3 validation_0-mlogloss:0.811615 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796491 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796061 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.787417 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.783105 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77432 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768043 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763867 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759036 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.756432 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748366 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.7478 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74625 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740194 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73668 [28] validation_0-merror:0.3 validation_0-mlogloss:0.731666 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.728846 [30] validation_0-merror:0.3 validation_0-mlogloss:0.727867 [31] validation_0-merror:0.3 validation_0-mlogloss:0.727636 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.727541 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.729157 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732805 [35] validation_0-merror:0.3 validation_0-mlogloss:0.739582 [36] validation_0-merror:0.3 validation_0-mlogloss:0.735897 [37] validation_0-merror:0.3 validation_0-mlogloss:0.735361 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.727541 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01154 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977336 [3] validation_0-merror:0.3 validation_0-mlogloss:0.948081 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.946239 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916675 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90212 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884072 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863235 [9] validation_0-merror:0.3 validation_0-mlogloss:0.844728 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827859 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.815022 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803698 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.788978 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782227 [15] validation_0-merror:0.3 validation_0-mlogloss:0.778763 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768177 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.755834 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.748623 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744645 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737896 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731671 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.722354 [23] validation_0-merror:0.3 validation_0-mlogloss:0.716473 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710064 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.707136 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.699857 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.694627 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.69493 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.69128 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.684492 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680668 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677006 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.675892 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.672834 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.672621 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.670937 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.673094 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.669381 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.670798 [41] validation_0-merror:0.25 validation_0-mlogloss:0.66686 [42] validation_0-merror:0.25 validation_0-mlogloss:0.66324 [43] validation_0-merror:0.25 validation_0-mlogloss:0.661545 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.660875 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.661084 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.659726 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.658986 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660376 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662333 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.663327 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.665469 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.662975 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.658986 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.064 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03171 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998351 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964723 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934362 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917536 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.899594 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886053 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869349 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.858708 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849777 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841353 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.836851 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817643 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803236 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.801927 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797724 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.794244 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.793713 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.792657 [21] validation_0-merror:0.35 validation_0-mlogloss:0.790409 [22] validation_0-merror:0.35 validation_0-mlogloss:0.785418 [23] validation_0-merror:0.35 validation_0-mlogloss:0.779555 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.779816 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.778241 [26] validation_0-merror:0.35 validation_0-mlogloss:0.773984 [27] validation_0-merror:0.35 validation_0-mlogloss:0.772946 [28] validation_0-merror:0.35 validation_0-mlogloss:0.777267 [29] validation_0-merror:0.35 validation_0-mlogloss:0.774171 [30] validation_0-merror:0.35 validation_0-mlogloss:0.778164 [31] validation_0-merror:0.35 validation_0-mlogloss:0.780626 [32] validation_0-merror:0.35 validation_0-mlogloss:0.782246 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.772946 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06206 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03399 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00278 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.980639 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950704 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928926 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.908562 [7] validation_0-merror:0.3 validation_0-mlogloss:0.894897 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876481 [9] validation_0-merror:0.3 validation_0-mlogloss:0.860682 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849419 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838057 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822587 [13] validation_0-merror:0.3 validation_0-mlogloss:0.811086 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79609 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791908 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785065 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77881 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772054 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765147 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765615 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765244 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763705 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75929 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756414 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.754507 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750914 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.748197 [28] validation_0-merror:0.3 validation_0-mlogloss:0.744845 [29] validation_0-merror:0.3 validation_0-mlogloss:0.742033 [30] validation_0-merror:0.3 validation_0-mlogloss:0.741361 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.739563 [32] validation_0-merror:0.3 validation_0-mlogloss:0.735927 [33] validation_0-merror:0.3 validation_0-mlogloss:0.74 [34] validation_0-merror:0.3 validation_0-mlogloss:0.739432 [35] validation_0-merror:0.3 validation_0-mlogloss:0.741824 [36] validation_0-merror:0.3 validation_0-mlogloss:0.73895 [37] validation_0-merror:0.3 validation_0-mlogloss:0.736459 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.735927 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02505 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994263 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970252 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.939953 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917992 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903614 [7] validation_0-merror:0.35 validation_0-mlogloss:0.89137 [8] validation_0-merror:0.3 validation_0-mlogloss:0.87119 [9] validation_0-merror:0.35 validation_0-mlogloss:0.8559 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845449 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831712 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813754 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800053 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792573 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784766 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.773717 [17] validation_0-merror:0.35 validation_0-mlogloss:0.764081 [18] validation_0-merror:0.35 validation_0-mlogloss:0.758183 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748471 [20] validation_0-merror:0.35 validation_0-mlogloss:0.743891 [21] validation_0-merror:0.35 validation_0-mlogloss:0.740611 [22] validation_0-merror:0.35 validation_0-mlogloss:0.735469 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729913 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.726721 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.722426 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.717817 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.718389 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718627 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.714379 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.708667 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.707389 [32] validation_0-merror:0.35 validation_0-mlogloss:0.70319 [33] validation_0-merror:0.35 validation_0-mlogloss:0.700233 [34] validation_0-merror:0.35 validation_0-mlogloss:0.700505 [35] validation_0-merror:0.35 validation_0-mlogloss:0.702321 [36] validation_0-merror:0.35 validation_0-mlogloss:0.700164 [37] validation_0-merror:0.35 validation_0-mlogloss:0.696832 [38] validation_0-merror:0.35 validation_0-mlogloss:0.693394 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.692732 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691328 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687801 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.687491 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.689516 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688408 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.688245 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.688831 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.689515 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.687491 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05649 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02942 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99865 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981073 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.958873 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936499 [6] validation_0-merror:0.35 validation_0-mlogloss:0.919292 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.911016 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.899155 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.885391 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.873151 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.861524 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847831 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.832622 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.822851 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.813142 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804196 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800047 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.796113 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790633 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788915 [21] validation_0-merror:0.35 validation_0-mlogloss:0.785971 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.784641 [23] validation_0-merror:0.35 validation_0-mlogloss:0.780279 [24] validation_0-merror:0.35 validation_0-mlogloss:0.778287 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776144 [26] validation_0-merror:0.35 validation_0-mlogloss:0.775884 [27] validation_0-merror:0.35 validation_0-mlogloss:0.776839 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.774742 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.775968 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779102 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.781341 [32] validation_0-merror:0.35 validation_0-mlogloss:0.781501 [33] validation_0-merror:0.35 validation_0-mlogloss:0.781824 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.774742 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05932 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03354 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00058 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980026 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.958898 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934553 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920075 [7] validation_0-merror:0.35 validation_0-mlogloss:0.909512 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890861 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875649 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.861527 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.846264 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826286 [13] validation_0-merror:0.3 validation_0-mlogloss:0.813852 [14] validation_0-merror:0.3 validation_0-mlogloss:0.806244 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.795502 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.785555 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.779149 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770723 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.76555 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758209 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75583 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.752521 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744406 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738358 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732027 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729324 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728708 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726334 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725938 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.72449 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.728108 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.726719 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.72476 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.720881 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.719015 [36] validation_0-merror:0.3 validation_0-mlogloss:0.72069 [37] validation_0-merror:0.3 validation_0-mlogloss:0.723096 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721774 [39] validation_0-merror:0.3 validation_0-mlogloss:0.722158 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719889 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.719015 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02883 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.998949 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973125 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963735 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939616 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922894 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905841 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889751 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873112 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.863561 [11] validation_0-merror:0.35 validation_0-mlogloss:0.851939 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.83995 [13] validation_0-merror:0.35 validation_0-mlogloss:0.83141 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.823656 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.821905 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809831 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.798557 [18] validation_0-merror:0.35 validation_0-mlogloss:0.793109 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.787913 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777209 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769201 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759325 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.751177 [24] validation_0-merror:0.35 validation_0-mlogloss:0.742489 [25] validation_0-merror:0.35 validation_0-mlogloss:0.740056 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.730727 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.725201 [28] validation_0-merror:0.3 validation_0-mlogloss:0.7201 [29] validation_0-merror:0.3 validation_0-mlogloss:0.714779 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710007 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702879 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.703319 [33] validation_0-merror:0.3 validation_0-mlogloss:0.699867 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.699699 [35] validation_0-merror:0.3 validation_0-mlogloss:0.696713 [36] validation_0-merror:0.3 validation_0-mlogloss:0.695967 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693685 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.694802 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690596 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692206 [41] validation_0-merror:0.3 validation_0-mlogloss:0.692782 [42] validation_0-merror:0.3 validation_0-mlogloss:0.691036 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688034 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684761 [45] validation_0-merror:0.3 validation_0-mlogloss:0.684542 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.685597 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682219 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679459 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.681793 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.676956 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680423 [52] validation_0-merror:0.3 validation_0-mlogloss:0.681978 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.682093 [54] validation_0-merror:0.3 validation_0-mlogloss:0.682546 [55] validation_0-merror:0.3 validation_0-mlogloss:0.681806 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.676956 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997853 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976479 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943207 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922781 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906268 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891363 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873183 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856071 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.838402 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828456 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824234 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812631 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807315 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.79627 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.78841 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784111 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779709 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77616 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.770662 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762944 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.761777 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.761402 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762791 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761287 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757844 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753549 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.752935 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.754288 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755008 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753864 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747933 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747503 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752108 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.75853 [36] validation_0-merror:0.35 validation_0-mlogloss:0.753634 [37] validation_0-merror:0.35 validation_0-mlogloss:0.758247 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.758434 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747503 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03793 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00177 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.979205 [4] validation_0-merror:0.3 validation_0-mlogloss:0.952554 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.926894 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.909497 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.896856 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88175 [9] validation_0-merror:0.35 validation_0-mlogloss:0.870706 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851852 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843648 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.830497 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815882 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802981 [15] validation_0-merror:0.3 validation_0-mlogloss:0.802206 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794026 [17] validation_0-merror:0.3 validation_0-mlogloss:0.789114 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.781807 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773469 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.766406 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.759869 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.758378 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750485 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748134 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743444 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737699 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.733851 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.733176 [29] validation_0-merror:0.3 validation_0-mlogloss:0.728866 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.72431 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720668 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.718943 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.720093 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718145 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.720022 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717503 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.716207 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.713249 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.712076 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.706613 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.703253 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.704795 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.701443 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702479 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.7023 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.701934 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.702397 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.706524 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.701443 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05191 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01332 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98527 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95625 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.9254 [6] validation_0-merror:0.35 validation_0-mlogloss:0.904556 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886473 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868326 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850612 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836627 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822529 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809434 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794078 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786107 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782804 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772261 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76151 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754905 [19] validation_0-merror:0.35 validation_0-mlogloss:0.750482 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.740519 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.736909 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728242 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720036 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712494 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.709693 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70445 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703685 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698233 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695485 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.692397 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685082 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680814 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.678789 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.678005 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.6735 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671931 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668355 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67099 [39] validation_0-merror:0.3 validation_0-mlogloss:0.666576 [40] validation_0-merror:0.3 validation_0-mlogloss:0.665473 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.660272 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.656711 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.655824 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.653964 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.65121 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.650674 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.650401 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.649602 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.651919 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653029 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654135 [52] validation_0-merror:0.3 validation_0-mlogloss:0.652398 [53] validation_0-merror:0.3 validation_0-mlogloss:0.656332 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.649602 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06264 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03309 [2] validation_0-merror:0.35 validation_0-mlogloss:1.0021 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973397 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.94338 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921279 [6] validation_0-merror:0.35 validation_0-mlogloss:0.904856 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889275 [8] validation_0-merror:0.35 validation_0-mlogloss:0.864774 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852617 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840741 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832398 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825411 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816552 [14] validation_0-merror:0.35 validation_0-mlogloss:0.813149 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80241 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799848 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.794982 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790539 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.790585 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785086 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.782336 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.778222 [23] validation_0-merror:0.35 validation_0-mlogloss:0.773333 [24] validation_0-merror:0.35 validation_0-mlogloss:0.774115 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773011 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769706 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768278 [28] validation_0-merror:0.35 validation_0-mlogloss:0.764692 [29] validation_0-merror:0.35 validation_0-mlogloss:0.764434 [30] validation_0-merror:0.35 validation_0-mlogloss:0.766343 [31] validation_0-merror:0.35 validation_0-mlogloss:0.766 [32] validation_0-merror:0.35 validation_0-mlogloss:0.768354 [33] validation_0-merror:0.35 validation_0-mlogloss:0.767063 [34] validation_0-merror:0.35 validation_0-mlogloss:0.767594 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.764434 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03437 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0044 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.975991 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.943538 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.920731 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.899357 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.884675 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.86782 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855673 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.840567 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828389 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.815442 [13] validation_0-merror:0.25 validation_0-mlogloss:0.803538 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790267 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.786826 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.782743 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.777087 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.77044 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.764371 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.763364 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.760609 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.756549 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751985 [24] validation_0-merror:0.3 validation_0-mlogloss:0.747892 [25] validation_0-merror:0.3 validation_0-mlogloss:0.746282 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743921 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.740948 [28] validation_0-merror:0.3 validation_0-mlogloss:0.738165 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.730379 [30] validation_0-merror:0.3 validation_0-mlogloss:0.731681 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72857 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.724698 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.728864 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.72742 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726204 [36] validation_0-merror:0.3 validation_0-mlogloss:0.72514 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.72421 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721391 [39] validation_0-merror:0.3 validation_0-mlogloss:0.721865 [40] validation_0-merror:0.3 validation_0-mlogloss:0.72024 [41] validation_0-merror:0.3 validation_0-mlogloss:0.719767 [42] validation_0-merror:0.3 validation_0-mlogloss:0.717692 [43] validation_0-merror:0.3 validation_0-mlogloss:0.715536 [44] validation_0-merror:0.3 validation_0-mlogloss:0.718272 [45] validation_0-merror:0.3 validation_0-mlogloss:0.716372 [46] validation_0-merror:0.3 validation_0-mlogloss:0.712568 [47] validation_0-merror:0.3 validation_0-mlogloss:0.710977 [48] validation_0-merror:0.3 validation_0-mlogloss:0.71323 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.713484 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.712557 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.712432 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.711822 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.710977 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05556 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02298 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.993127 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.968291 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941737 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.916556 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898652 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887601 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.867921 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85635 [10] validation_0-merror:0.35 validation_0-mlogloss:0.845213 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827445 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812496 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798872 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787574 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777224 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766837 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757871 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746309 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738168 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.733174 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728458 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722379 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720036 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.717655 [25] validation_0-merror:0.3 validation_0-mlogloss:0.708607 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702697 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.69758 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.694099 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689215 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686484 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.684725 [32] validation_0-merror:0.3 validation_0-mlogloss:0.682802 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67963 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.676455 [35] validation_0-merror:0.3 validation_0-mlogloss:0.676743 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678305 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.675637 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.672459 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672369 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.674411 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.675046 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.675265 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.676897 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.677259 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.672369 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03219 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999965 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.981888 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957124 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.935516 [6] validation_0-merror:0.4 validation_0-mlogloss:0.919446 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.91152 [8] validation_0-merror:0.35 validation_0-mlogloss:0.899266 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88615 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.876467 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859025 [12] validation_0-merror:0.35 validation_0-mlogloss:0.845412 [13] validation_0-merror:0.35 validation_0-mlogloss:0.83432 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.828074 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818276 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.81188 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.811589 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.804832 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.799048 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.791894 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.788123 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783947 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.780801 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779133 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.778239 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.779538 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.779332 [28] validation_0-merror:0.35 validation_0-mlogloss:0.780185 [29] validation_0-merror:0.35 validation_0-mlogloss:0.780284 [30] validation_0-merror:0.35 validation_0-mlogloss:0.784466 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.778239 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03382 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999568 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980748 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.959029 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.931784 [6] validation_0-merror:0.3 validation_0-mlogloss:0.915137 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.901434 [8] validation_0-merror:0.3 validation_0-mlogloss:0.881402 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864986 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847339 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832129 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813691 [13] validation_0-merror:0.3 validation_0-mlogloss:0.801762 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794196 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781895 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770304 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762565 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755646 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.747548 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744763 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745895 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740557 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.732828 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.727762 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.722487 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.720127 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.715491 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70993 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705826 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704783 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704399 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700398 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700561 [34] validation_0-merror:0.3 validation_0-mlogloss:0.69813 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694917 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697271 [37] validation_0-merror:0.3 validation_0-mlogloss:0.69845 [38] validation_0-merror:0.3 validation_0-mlogloss:0.69473 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.694446 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692528 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691174 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.689975 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.689685 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688402 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68681 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.691276 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.690956 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.692221 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.692175 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.695697 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68681 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972639 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964555 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.938156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919305 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904021 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887284 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870465 [10] validation_0-merror:0.4 validation_0-mlogloss:0.859862 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844928 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831485 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815095 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812968 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80069 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788928 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783221 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76031 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752812 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7493 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739199 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740064 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733548 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [28] validation_0-merror:0.3 validation_0-mlogloss:0.725033 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721862 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716111 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711207 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711786 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70819 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707156 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7074 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704083 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707038 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704937 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.708234 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.704285 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701627 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.696899 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.698038 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.695907 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697822 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695936 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [49] validation_0-merror:0.3 validation_0-mlogloss:0.698698 [50] validation_0-merror:0.3 validation_0-mlogloss:0.698993 [51] validation_0-merror:0.3 validation_0-mlogloss:0.702585 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.703602 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.703442 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04297 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982471 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950579 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930601 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912368 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893735 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87568 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859966 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842686 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833959 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829296 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82016 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813224 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806181 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800177 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794883 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787202 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775524 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76834 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766956 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765279 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.76444 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761343 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759745 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757836 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754714 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752507 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752502 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749353 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747138 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746323 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748018 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750223 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.745648 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749624 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749421 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.748463 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.745499 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.742384 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.743051 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.742577 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.743042 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.743674 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.743435 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748033 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747086 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911602 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8983 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883418 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870832 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837061 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82408 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797392 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795548 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78884 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782301 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.768802 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765972 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759306 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750695 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747612 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737814 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736958 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732947 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72815 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722253 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721421 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706613 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706971 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.708223 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706233 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705341 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698163 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696036 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69226 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686393 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683997 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685793 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681404 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67977 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678228 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678334 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681006 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682115 [50] validation_0-merror:0.3 validation_0-mlogloss:0.678277 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01258 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987735 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957647 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950047 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919254 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896601 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878962 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863804 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844895 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830878 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816579 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805901 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796933 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787632 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78458 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772183 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760876 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.75613 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75135 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.742447 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.738064 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.726916 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720789 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712674 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711311 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.705606 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706412 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702499 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699636 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.695303 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689191 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686924 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68427 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682013 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.676955 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676495 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674673 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676392 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674248 [40] validation_0-merror:0.3 validation_0-mlogloss:0.676366 [41] validation_0-merror:0.3 validation_0-mlogloss:0.67166 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671288 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.669784 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.667903 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.666133 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665195 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.662608 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.659614 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659033 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.659581 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.660561 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659691 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.662914 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.661831 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659033 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06286 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0276 [2] validation_0-merror:0.35 validation_0-mlogloss:0.997612 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967481 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937682 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918669 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903689 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887588 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.862756 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848287 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839523 [11] validation_0-merror:0.35 validation_0-mlogloss:0.830405 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823985 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815203 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810547 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801297 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79932 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793683 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78975 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.78997 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783191 [21] validation_0-merror:0.4 validation_0-mlogloss:0.780082 [22] validation_0-merror:0.4 validation_0-mlogloss:0.776522 [23] validation_0-merror:0.4 validation_0-mlogloss:0.775214 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.775432 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.77234 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.767205 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.76469 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.762516 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.760625 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.761686 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.762881 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.761623 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.761946 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.762226 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.760625 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06736 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03604 [2] validation_0-merror:0.3 validation_0-mlogloss:1.00298 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.974578 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.946013 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.921892 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.901509 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.886389 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.868291 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.855427 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.84201 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.832637 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.818104 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.805956 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.796926 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.793693 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.78935 [17] validation_0-merror:0.25 validation_0-mlogloss:0.784083 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.775237 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767713 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.764445 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.761438 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753872 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.74495 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.741912 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.738351 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737886 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.732256 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.730038 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.725677 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.726295 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.720485 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.714211 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.716154 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.713715 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.71714 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.715691 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.715463 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.714949 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.715014 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.713715 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05701 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02463 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994724 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970629 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942185 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.91669 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900661 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888344 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.867216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856443 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841279 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824984 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807063 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793404 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785088 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776509 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76696 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763008 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.751919 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743677 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73467 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732236 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.727542 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722477 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719045 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714965 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.708747 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.705381 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.704977 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700391 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.70019 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698202 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69834 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696702 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696398 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695428 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695307 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694549 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69362 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693136 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.69607 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.695064 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697312 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.697425 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.699592 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693136 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05837 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03028 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00092 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981278 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.950989 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.929955 [6] validation_0-merror:0.4 validation_0-mlogloss:0.91588 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.909565 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.898202 [9] validation_0-merror:0.35 validation_0-mlogloss:0.885556 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.874038 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.862678 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.849629 [13] validation_0-merror:0.4 validation_0-mlogloss:0.838095 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.82932 [15] validation_0-merror:0.4 validation_0-mlogloss:0.821191 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.814558 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.811766 [18] validation_0-merror:0.4 validation_0-mlogloss:0.808762 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.804054 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.802865 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.800707 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.798066 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.794312 [24] validation_0-merror:0.4 validation_0-mlogloss:0.7935 [25] validation_0-merror:0.4 validation_0-mlogloss:0.791606 [26] validation_0-merror:0.4 validation_0-mlogloss:0.791997 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.792322 [28] validation_0-merror:0.4 validation_0-mlogloss:0.792541 [29] validation_0-merror:0.4 validation_0-mlogloss:0.790896 [30] validation_0-merror:0.4 validation_0-mlogloss:0.792598 [31] validation_0-merror:0.4 validation_0-mlogloss:0.792465 [32] validation_0-merror:0.4 validation_0-mlogloss:0.790982 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.793205 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.793008 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.790896 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06214 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996058 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975585 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.952857 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926139 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.910484 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897444 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.879298 [9] validation_0-merror:0.3 validation_0-mlogloss:0.864437 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.846318 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828891 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81537 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803804 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798731 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.789469 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.774519 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764774 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759949 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752084 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748582 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747974 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741558 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730346 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723014 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.719053 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.71759 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.714238 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.706362 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.703432 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.705304 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.702798 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.702474 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.701406 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.701804 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.700611 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.703788 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.707299 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.706321 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.702829 [40] validation_0-merror:0.3 validation_0-mlogloss:0.699325 [41] validation_0-merror:0.3 validation_0-mlogloss:0.699751 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.700344 [43] validation_0-merror:0.3 validation_0-mlogloss:0.700602 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.699844 [45] validation_0-merror:0.3 validation_0-mlogloss:0.698187 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697312 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695929 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.695469 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.695268 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.696922 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.696024 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.696803 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.696484 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.700103 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.695268 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02709 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.997797 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970545 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.961793 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.939563 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.921597 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903881 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885888 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.864563 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851558 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837323 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823874 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811944 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802237 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800252 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787881 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.776584 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77117 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767456 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760578 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753228 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.750189 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744212 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733618 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.732867 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725026 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722141 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715908 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.714761 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708066 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703774 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701829 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699772 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699027 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.694995 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696241 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694674 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.697514 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.696678 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.698785 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.698521 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697626 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.694674 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06237 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03979 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00542 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981143 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.949636 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931461 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912704 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.896518 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879604 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863222 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845864 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.836329 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829403 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817846 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810734 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.804684 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799143 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790672 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786369 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779631 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775745 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771031 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.769682 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766959 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765911 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764389 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.763426 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.76097 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.756997 [29] validation_0-merror:0.4 validation_0-mlogloss:0.755139 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.755197 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.75236 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75145 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.751232 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.754029 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.75152 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.749968 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.749717 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.74969 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.75031 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.748021 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.74499 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.745509 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.745259 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.746568 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.745034 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.745599 Stopping. Best iteration: [41] validation_0-merror:0.383333 validation_0-mlogloss:0.74499 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.036 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.997275 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953391 [5] validation_0-merror:0.3 validation_0-mlogloss:0.928075 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912282 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897811 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879006 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867619 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848356 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834958 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822842 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808465 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.797099 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795265 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789023 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783688 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.777234 [19] validation_0-merror:0.3 validation_0-mlogloss:0.772994 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767138 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761956 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761437 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755525 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755058 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751414 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745797 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739081 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737517 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.732287 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.729494 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726714 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727301 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727031 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72492 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.723026 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717299 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.716727 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.713958 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711892 [40] validation_0-merror:0.35 validation_0-mlogloss:0.706067 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.703931 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.705067 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.700589 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.696309 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.690414 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.690613 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.691497 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.690884 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.692506 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.68868 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.687008 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.683168 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.684278 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.689713 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.688831 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689288 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.690255 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.683168 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01395 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985301 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957111 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94899 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92175 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905558 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886376 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869312 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847685 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834235 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821426 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808497 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800122 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79137 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78647 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777346 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765666 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759877 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754606 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747244 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743454 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732692 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.724782 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.716097 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.713721 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70846 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.708307 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705303 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703896 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701269 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.697973 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694929 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.692821 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.692519 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686653 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.685117 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.682825 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.685456 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683361 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685096 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.68118 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.681052 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.680239 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.678849 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676419 [46] validation_0-merror:0.3 validation_0-mlogloss:0.676413 [47] validation_0-merror:0.3 validation_0-mlogloss:0.674333 [48] validation_0-merror:0.3 validation_0-mlogloss:0.670565 [49] validation_0-merror:0.3 validation_0-mlogloss:0.670046 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.670595 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.672019 [52] validation_0-merror:0.3 validation_0-mlogloss:0.671721 [53] validation_0-merror:0.3 validation_0-mlogloss:0.672363 [54] validation_0-merror:0.3 validation_0-mlogloss:0.673818 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.670046 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0279 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997754 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966974 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937657 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.919284 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904242 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.888285 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.866764 [9] validation_0-merror:0.4 validation_0-mlogloss:0.852036 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839558 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827587 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.821264 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812073 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807459 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.79931 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79581 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791014 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78673 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783359 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781039 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775424 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769688 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766505 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765932 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763562 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760261 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756401 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752206 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751195 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753473 [31] validation_0-merror:0.35 validation_0-mlogloss:0.753803 [32] validation_0-merror:0.35 validation_0-mlogloss:0.753009 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752065 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.751875 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.751195 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06594 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03723 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00757 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.98003 [4] validation_0-merror:0.35 validation_0-mlogloss:0.959036 [5] validation_0-merror:0.3 validation_0-mlogloss:0.936189 [6] validation_0-merror:0.3 validation_0-mlogloss:0.916732 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903786 [8] validation_0-merror:0.3 validation_0-mlogloss:0.888259 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870916 [10] validation_0-merror:0.3 validation_0-mlogloss:0.857655 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.846503 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.832415 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812389 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808427 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803739 [17] validation_0-merror:0.3 validation_0-mlogloss:0.796777 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791406 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782243 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.779885 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.778238 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.771972 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.766603 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767011 [25] validation_0-merror:0.3 validation_0-mlogloss:0.760232 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759818 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.753661 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750579 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748772 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751677 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.745203 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739013 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73929 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.735182 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734244 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.732413 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.73178 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731021 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.731037 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.726193 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724287 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.72476 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.724935 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.725816 [45] validation_0-merror:0.3 validation_0-mlogloss:0.721909 [46] validation_0-merror:0.3 validation_0-mlogloss:0.717368 [47] validation_0-merror:0.3 validation_0-mlogloss:0.717587 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.720199 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.723901 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.717444 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.718076 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.717368 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02526 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995203 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970282 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.942756 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91912 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899614 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885481 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865286 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.852536 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838636 [11] validation_0-merror:0.3 validation_0-mlogloss:0.821294 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802441 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.787503 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.779333 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.76896 [16] validation_0-merror:0.3 validation_0-mlogloss:0.762095 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.753257 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.742404 [19] validation_0-merror:0.3 validation_0-mlogloss:0.736541 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.730396 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.725921 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.720528 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.713216 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710302 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.703672 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702055 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.69835 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696312 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691772 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690243 [31] validation_0-merror:0.3 validation_0-mlogloss:0.6859 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685367 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684063 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686121 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682269 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681507 [37] validation_0-merror:0.3 validation_0-mlogloss:0.679847 [38] validation_0-merror:0.3 validation_0-mlogloss:0.678388 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678088 [40] validation_0-merror:0.3 validation_0-mlogloss:0.680384 [41] validation_0-merror:0.3 validation_0-mlogloss:0.678828 [42] validation_0-merror:0.3 validation_0-mlogloss:0.67887 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679318 [44] validation_0-merror:0.3 validation_0-mlogloss:0.681524 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.678088 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05929 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00051 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.982945 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.956 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.932197 [6] validation_0-merror:0.4 validation_0-mlogloss:0.91809 [7] validation_0-merror:0.4 validation_0-mlogloss:0.911624 [8] validation_0-merror:0.4 validation_0-mlogloss:0.901495 [9] validation_0-merror:0.4 validation_0-mlogloss:0.887411 [10] validation_0-merror:0.4 validation_0-mlogloss:0.874521 [11] validation_0-merror:0.4 validation_0-mlogloss:0.864427 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.850954 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.838252 [14] validation_0-merror:0.4 validation_0-mlogloss:0.830572 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.818864 [16] validation_0-merror:0.4 validation_0-mlogloss:0.812101 [17] validation_0-merror:0.4 validation_0-mlogloss:0.808522 [18] validation_0-merror:0.4 validation_0-mlogloss:0.803997 [19] validation_0-merror:0.4 validation_0-mlogloss:0.802232 [20] validation_0-merror:0.4 validation_0-mlogloss:0.798505 [21] validation_0-merror:0.4 validation_0-mlogloss:0.796704 [22] validation_0-merror:0.4 validation_0-mlogloss:0.792597 [23] validation_0-merror:0.4 validation_0-mlogloss:0.789704 [24] validation_0-merror:0.4 validation_0-mlogloss:0.787223 [25] validation_0-merror:0.4 validation_0-mlogloss:0.785487 [26] validation_0-merror:0.4 validation_0-mlogloss:0.783002 [27] validation_0-merror:0.4 validation_0-mlogloss:0.781638 [28] validation_0-merror:0.4 validation_0-mlogloss:0.780483 [29] validation_0-merror:0.4 validation_0-mlogloss:0.780879 [30] validation_0-merror:0.4 validation_0-mlogloss:0.783689 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.783094 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.782547 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.783101 Stopping. Best iteration: [28] validation_0-merror:0.4 validation_0-mlogloss:0.780483 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06678 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03173 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00069 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.98049 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956083 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927114 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911418 [7] validation_0-merror:0.35 validation_0-mlogloss:0.900697 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.881699 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865138 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.8482 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831211 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813909 [13] validation_0-merror:0.3 validation_0-mlogloss:0.802252 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794898 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787862 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773919 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763979 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760813 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75035 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743372 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741627 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734238 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726288 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719658 [25] validation_0-merror:0.3 validation_0-mlogloss:0.714214 [26] validation_0-merror:0.3 validation_0-mlogloss:0.711429 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707548 [28] validation_0-merror:0.3 validation_0-mlogloss:0.701304 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699988 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70013 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698704 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697526 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696227 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.694301 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695687 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.698142 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695733 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694568 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693077 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690957 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.690372 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.688129 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.68811 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.688631 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.689306 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.689301 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.689214 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.689124 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.68811 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02496 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998763 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965218 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944513 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920399 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901523 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885842 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852847 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84274 [11] validation_0-merror:0.3 validation_0-mlogloss:0.827972 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816693 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809165 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796987 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78271 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775648 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765066 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759575 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754234 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748274 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.742569 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735022 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728226 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719479 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713226 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.706038 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.704012 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699252 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691373 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.688755 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.684725 [32] validation_0-merror:0.25 validation_0-mlogloss:0.681383 [33] validation_0-merror:0.25 validation_0-mlogloss:0.680618 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680694 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.682512 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.682353 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.676893 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.676885 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.674924 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.671117 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.67088 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665923 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.664751 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.664956 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.663812 [46] validation_0-merror:0.25 validation_0-mlogloss:0.664953 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.661047 [48] validation_0-merror:0.25 validation_0-mlogloss:0.659456 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.66368 [50] validation_0-merror:0.25 validation_0-mlogloss:0.661378 [51] validation_0-merror:0.25 validation_0-mlogloss:0.666357 [52] validation_0-merror:0.25 validation_0-mlogloss:0.666444 [53] validation_0-merror:0.25 validation_0-mlogloss:0.668415 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.659456 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960764 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912794 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892119 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875536 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858593 [9] validation_0-merror:0.35 validation_0-mlogloss:0.841357 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.827453 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814817 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799543 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79219 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786748 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777844 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773988 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767633 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765745 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762265 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759641 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754738 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755561 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754986 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75734 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752488 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745849 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740803 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73564 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738257 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739697 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.738085 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.737834 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.733953 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738328 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739077 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.732695 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734178 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.733275 [39] validation_0-merror:0.35 validation_0-mlogloss:0.732159 [40] validation_0-merror:0.35 validation_0-mlogloss:0.732866 [41] validation_0-merror:0.35 validation_0-mlogloss:0.729269 [42] validation_0-merror:0.35 validation_0-mlogloss:0.727292 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.723205 [44] validation_0-merror:0.35 validation_0-mlogloss:0.725426 [45] validation_0-merror:0.35 validation_0-mlogloss:0.725765 [46] validation_0-merror:0.35 validation_0-mlogloss:0.729143 [47] validation_0-merror:0.35 validation_0-mlogloss:0.726905 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.728317 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.723205 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06252 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02418 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990121 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966782 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94126 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918289 [6] validation_0-merror:0.3 validation_0-mlogloss:0.897109 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.880505 [8] validation_0-merror:0.3 validation_0-mlogloss:0.864166 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.850843 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.833094 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822278 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.811359 [13] validation_0-merror:0.3 validation_0-mlogloss:0.79554 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787049 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782832 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774067 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768833 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757747 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750649 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748059 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741411 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.737001 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727948 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726587 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724476 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.72164 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.719117 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714722 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708656 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.702053 [31] validation_0-merror:0.3 validation_0-mlogloss:0.696961 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691642 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694263 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.691544 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691419 [36] validation_0-merror:0.3 validation_0-mlogloss:0.682966 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.679749 [38] validation_0-merror:0.3 validation_0-mlogloss:0.678156 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.677258 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677731 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672154 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671672 [43] validation_0-merror:0.3 validation_0-mlogloss:0.666211 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.663144 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.66277 [46] validation_0-merror:0.3 validation_0-mlogloss:0.66445 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662323 [48] validation_0-merror:0.3 validation_0-mlogloss:0.662387 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662011 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.663386 [51] validation_0-merror:0.3 validation_0-mlogloss:0.66337 [52] validation_0-merror:0.3 validation_0-mlogloss:0.658593 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660544 [54] validation_0-merror:0.3 validation_0-mlogloss:0.665542 [55] validation_0-merror:0.3 validation_0-mlogloss:0.663916 [56] validation_0-merror:0.3 validation_0-mlogloss:0.662881 [57] validation_0-merror:0.3 validation_0-mlogloss:0.662174 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.658593 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961435 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940893 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919484 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900153 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879603 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86269 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847201 [10] validation_0-merror:0.35 validation_0-mlogloss:0.835107 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82118 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809797 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802203 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788741 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775306 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766112 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757285 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752722 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749848 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743893 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737593 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729643 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724434 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719693 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710817 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704015 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702763 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70369 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.701178 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694509 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.690858 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.683664 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680291 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.677291 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.674089 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.670716 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.67226 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673306 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.670583 [40] validation_0-merror:0.3 validation_0-mlogloss:0.667685 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.664556 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664413 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665244 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.659981 [45] validation_0-merror:0.3 validation_0-mlogloss:0.659089 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656517 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.654548 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.651683 [49] validation_0-merror:0.25 validation_0-mlogloss:0.651622 [50] validation_0-merror:0.25 validation_0-mlogloss:0.651184 [51] validation_0-merror:0.25 validation_0-mlogloss:0.653319 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.650402 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.65325 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.652565 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.651951 [56] validation_0-merror:0.25 validation_0-mlogloss:0.655809 [57] validation_0-merror:0.25 validation_0-mlogloss:0.653929 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.650402 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05661 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02089 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994132 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963409 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939089 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.91594 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899623 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884112 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869206 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856774 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847576 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840768 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826251 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818302 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810258 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800853 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795139 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790579 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783162 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774531 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766169 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760756 [22] validation_0-merror:0.35 validation_0-mlogloss:0.756919 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.754407 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.754253 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.748583 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740225 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737451 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.735993 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.735657 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.73278 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733082 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728395 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.722099 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.719948 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.720566 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717505 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.720524 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.719819 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.723554 [40] validation_0-merror:0.35 validation_0-mlogloss:0.722546 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.725579 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717505 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06162 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995502 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968754 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.94702 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924702 [6] validation_0-merror:0.3 validation_0-mlogloss:0.902362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885106 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867463 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856766 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846775 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834811 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823605 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815476 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805527 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800097 [16] validation_0-merror:0.3 validation_0-mlogloss:0.796132 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790008 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.781135 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778585 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.770054 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760815 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753178 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743442 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736994 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732118 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725374 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721896 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715487 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710262 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706307 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704656 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.698176 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697719 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.69328 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690756 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.68531 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.682423 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.681435 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.679769 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676967 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677228 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.676296 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674787 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.673339 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672615 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.669828 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.669794 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.6677 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.67054 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.669003 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.668155 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.667274 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.668744 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.669445 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.667062 [56] validation_0-merror:0.3 validation_0-mlogloss:0.663952 [57] validation_0-merror:0.3 validation_0-mlogloss:0.661312 [58] validation_0-merror:0.3 validation_0-mlogloss:0.661155 [59] validation_0-merror:0.3 validation_0-mlogloss:0.660723 [60] validation_0-merror:0.3 validation_0-mlogloss:0.662426 [61] validation_0-merror:0.3 validation_0-mlogloss:0.662622 [62] validation_0-merror:0.3 validation_0-mlogloss:0.660174 [63] validation_0-merror:0.3 validation_0-mlogloss:0.66319 [64] validation_0-merror:0.3 validation_0-mlogloss:0.66301 [65] validation_0-merror:0.3 validation_0-mlogloss:0.659809 [66] validation_0-merror:0.3 validation_0-mlogloss:0.661113 [67] validation_0-merror:0.3 validation_0-mlogloss:0.661497 [68] validation_0-merror:0.3 validation_0-mlogloss:0.661247 [69] validation_0-merror:0.3 validation_0-mlogloss:0.661273 [70] validation_0-merror:0.3 validation_0-mlogloss:0.659217 [71] validation_0-merror:0.3 validation_0-mlogloss:0.659422 [72] validation_0-merror:0.3 validation_0-mlogloss:0.656557 [73] validation_0-merror:0.3 validation_0-mlogloss:0.655091 [74] validation_0-merror:0.3 validation_0-mlogloss:0.651438 [75] validation_0-merror:0.3 validation_0-mlogloss:0.652076 [76] validation_0-merror:0.3 validation_0-mlogloss:0.655714 [77] validation_0-merror:0.3 validation_0-mlogloss:0.66129 [78] validation_0-merror:0.3 validation_0-mlogloss:0.660423 [79] validation_0-merror:0.3 validation_0-mlogloss:0.661719 Stopping. Best iteration: [74] validation_0-merror:0.3 validation_0-mlogloss:0.651438 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02068 [2] validation_0-merror:0.3 validation_0-mlogloss:0.98647 [3] validation_0-merror:0.3 validation_0-mlogloss:0.955587 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.931792 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90804 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887698 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868128 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851453 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83916 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826822 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814517 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801452 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787164 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777067 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.766363 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.759598 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.751441 [18] validation_0-merror:0.35 validation_0-mlogloss:0.744675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.737542 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732795 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.725728 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.724049 [23] validation_0-merror:0.35 validation_0-mlogloss:0.717875 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.714305 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707678 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.705769 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702653 [28] validation_0-merror:0.3 validation_0-mlogloss:0.697121 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692741 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.689925 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.689306 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688783 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.686133 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.686139 [35] validation_0-merror:0.3 validation_0-mlogloss:0.681935 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679157 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.677978 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677421 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.677069 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.675441 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.67607 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.673899 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673734 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67386 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.674801 [46] validation_0-merror:0.3 validation_0-mlogloss:0.673293 [47] validation_0-merror:0.3 validation_0-mlogloss:0.671904 [48] validation_0-merror:0.3 validation_0-mlogloss:0.67061 [49] validation_0-merror:0.3 validation_0-mlogloss:0.669877 [50] validation_0-merror:0.3 validation_0-mlogloss:0.667985 [51] validation_0-merror:0.3 validation_0-mlogloss:0.668826 [52] validation_0-merror:0.3 validation_0-mlogloss:0.669708 [53] validation_0-merror:0.3 validation_0-mlogloss:0.669693 [54] validation_0-merror:0.3 validation_0-mlogloss:0.669073 [55] validation_0-merror:0.3 validation_0-mlogloss:0.671302 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.667985 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995518 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970909 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945964 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924741 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90338 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892087 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879878 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.868035 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.858636 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845897 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836876 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828572 [14] validation_0-merror:0.35 validation_0-mlogloss:0.823106 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.81337 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.806314 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.80081 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.795323 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.788574 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781864 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77704 [22] validation_0-merror:0.4 validation_0-mlogloss:0.775072 [23] validation_0-merror:0.4 validation_0-mlogloss:0.771137 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766533 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761551 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756094 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755624 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.75409 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749879 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.749669 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746814 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.743929 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.741884 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.738785 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734897 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.735207 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.732978 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.732709 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.734316 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.731692 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.730103 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.728576 [43] validation_0-merror:0.35 validation_0-mlogloss:0.72767 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.725456 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.724403 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.722426 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.721043 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.720289 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.71889 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.720501 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.720751 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.719328 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.723379 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.722561 Stopping. Best iteration: [49] validation_0-merror:0.366667 validation_0-mlogloss:0.71889 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06798 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03255 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.999221 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974127 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950911 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924384 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90385 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897919 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88126 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.875527 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.868387 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.861738 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.856411 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.848712 [14] validation_0-merror:0.3 validation_0-mlogloss:0.837216 [15] validation_0-merror:0.3 validation_0-mlogloss:0.829229 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.818035 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.810373 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.806616 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.794778 [20] validation_0-merror:0.3 validation_0-mlogloss:0.787444 [21] validation_0-merror:0.3 validation_0-mlogloss:0.779611 [22] validation_0-merror:0.3 validation_0-mlogloss:0.771777 [23] validation_0-merror:0.3 validation_0-mlogloss:0.765522 [24] validation_0-merror:0.3 validation_0-mlogloss:0.758147 [25] validation_0-merror:0.3 validation_0-mlogloss:0.753596 [26] validation_0-merror:0.3 validation_0-mlogloss:0.748856 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747531 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743647 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739174 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737595 [32] validation_0-merror:0.3 validation_0-mlogloss:0.734611 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730464 [34] validation_0-merror:0.3 validation_0-mlogloss:0.727124 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.72366 [36] validation_0-merror:0.3 validation_0-mlogloss:0.719459 [37] validation_0-merror:0.3 validation_0-mlogloss:0.718059 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717559 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716097 [40] validation_0-merror:0.3 validation_0-mlogloss:0.713815 [41] validation_0-merror:0.3 validation_0-mlogloss:0.712387 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.710512 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.707716 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.706027 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.707114 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.704203 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.702309 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.699005 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.69728 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.694214 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.693324 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690464 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.68848 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.688864 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.68883 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.687371 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.686378 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.684258 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.682879 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.682354 [61] validation_0-merror:0.3 validation_0-mlogloss:0.681897 [62] validation_0-merror:0.3 validation_0-mlogloss:0.683729 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.681986 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.682257 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.681876 [66] validation_0-merror:0.3 validation_0-mlogloss:0.681854 [67] validation_0-merror:0.3 validation_0-mlogloss:0.679942 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.680244 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.67987 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.679343 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.681322 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.679606 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.68 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.678686 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.677822 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.67818 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.67819 [78] validation_0-merror:0.283333 validation_0-mlogloss:0.677336 [79] validation_0-merror:0.283333 validation_0-mlogloss:0.677697 [80] validation_0-merror:0.283333 validation_0-mlogloss:0.677028 [81] validation_0-merror:0.283333 validation_0-mlogloss:0.675714 [82] validation_0-merror:0.283333 validation_0-mlogloss:0.677065 [83] validation_0-merror:0.283333 validation_0-mlogloss:0.675558 [84] validation_0-merror:0.283333 validation_0-mlogloss:0.675912 [85] validation_0-merror:0.283333 validation_0-mlogloss:0.677089 [86] validation_0-merror:0.283333 validation_0-mlogloss:0.677032 [87] validation_0-merror:0.283333 validation_0-mlogloss:0.676657 [88] validation_0-merror:0.283333 validation_0-mlogloss:0.677765 Stopping. Best iteration: [83] validation_0-merror:0.283333 validation_0-mlogloss:0.675558 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02293 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996971 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965337 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94564 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921773 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90509 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886065 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867969 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.855497 [10] validation_0-merror:0.35 validation_0-mlogloss:0.844169 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830003 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.819263 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810009 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798057 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78574 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779179 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768082 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764339 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758645 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75121 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746207 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738635 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731945 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723142 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.716703 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.710462 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.707093 [28] validation_0-merror:0.35 validation_0-mlogloss:0.703179 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69658 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693902 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689445 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.683137 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682609 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68272 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.685579 [36] validation_0-merror:0.3 validation_0-mlogloss:0.684664 [37] validation_0-merror:0.3 validation_0-mlogloss:0.681073 [38] validation_0-merror:0.3 validation_0-mlogloss:0.680541 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678414 [40] validation_0-merror:0.3 validation_0-mlogloss:0.676919 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675081 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672196 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.671062 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672581 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.673008 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.674233 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.668747 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.667234 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.671411 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.66878 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672369 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.672403 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.674425 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.667234 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05747 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02221 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987467 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963712 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93681 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914956 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891895 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.874583 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857665 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839278 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827232 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815202 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802837 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796868 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79559 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786245 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781951 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778363 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776805 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772831 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.77147 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766064 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766107 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76493 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765949 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760858 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.75749 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754222 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753044 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.753927 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.755018 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751824 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.753144 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749018 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.752048 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.756601 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.750591 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.751807 [38] validation_0-merror:0.35 validation_0-mlogloss:0.749479 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749018 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02431 [2] validation_0-merror:0.3 validation_0-mlogloss:0.990213 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966924 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941126 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917951 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.895385 [7] validation_0-merror:0.233333 validation_0-mlogloss:0.879308 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862843 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851222 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832523 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82165 [12] validation_0-merror:0.3 validation_0-mlogloss:0.810511 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794485 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785642 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782605 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776251 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769772 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758671 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751616 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748776 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742166 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.737725 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728446 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726877 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725585 [26] validation_0-merror:0.35 validation_0-mlogloss:0.724176 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.72276 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.717059 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720237 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.714181 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.707807 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.703036 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.70445 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.701528 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.702478 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.693735 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.689349 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.687279 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687145 [40] validation_0-merror:0.3 validation_0-mlogloss:0.690746 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685389 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685793 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680693 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679256 [45] validation_0-merror:0.3 validation_0-mlogloss:0.678741 [46] validation_0-merror:0.3 validation_0-mlogloss:0.68247 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.679563 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679273 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.681398 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680459 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.678741 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05336 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.994915 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941039 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922463 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905383 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.885068 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867918 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852288 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839967 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827285 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.814603 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806921 [14] validation_0-merror:0.35 validation_0-mlogloss:0.79289 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779708 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771161 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761923 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.756792 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753782 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746582 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743076 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.734472 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729448 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723557 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713222 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.705391 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703855 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705388 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700925 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693609 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689647 [32] validation_0-merror:0.3 validation_0-mlogloss:0.682533 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679481 [34] validation_0-merror:0.3 validation_0-mlogloss:0.675555 [35] validation_0-merror:0.3 validation_0-mlogloss:0.671553 [36] validation_0-merror:0.3 validation_0-mlogloss:0.668954 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.670239 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.670754 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.667909 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.669369 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.665299 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.66551 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.666034 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.662197 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.66118 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.660072 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.657501 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.654125 [49] validation_0-merror:0.3 validation_0-mlogloss:0.654567 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.655719 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.657668 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.655763 [53] validation_0-merror:0.3 validation_0-mlogloss:0.659115 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.654125 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05669 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996253 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.965441 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.941781 [5] validation_0-merror:0.35 validation_0-mlogloss:0.91877 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902211 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886891 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871616 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859166 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849914 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843274 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831397 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825084 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.814993 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805298 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.802326 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.798452 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790868 [19] validation_0-merror:0.35 validation_0-mlogloss:0.785541 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777246 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769256 [22] validation_0-merror:0.35 validation_0-mlogloss:0.76624 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.761248 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76152 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755508 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745502 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744163 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.74171 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.742278 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.743967 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743399 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.738467 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.732664 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.730431 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729463 [36] validation_0-merror:0.35 validation_0-mlogloss:0.726642 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730225 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730244 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.733767 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.731947 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.734612 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.726642 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0268 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998088 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975034 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953303 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930146 [6] validation_0-merror:0.3 validation_0-mlogloss:0.908037 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890958 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.872727 [9] validation_0-merror:0.3 validation_0-mlogloss:0.862775 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.850508 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839245 [12] validation_0-merror:0.3 validation_0-mlogloss:0.828536 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820359 [14] validation_0-merror:0.3 validation_0-mlogloss:0.812421 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806028 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.801462 [17] validation_0-merror:0.3 validation_0-mlogloss:0.793794 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.784608 [19] validation_0-merror:0.3 validation_0-mlogloss:0.779397 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770028 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.761114 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.754978 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.749891 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.740364 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738625 [26] validation_0-merror:0.3 validation_0-mlogloss:0.731332 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727408 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720825 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716296 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711522 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709869 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703198 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702653 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.697603 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696635 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.69035 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.686535 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.685432 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683339 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.680609 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.679519 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.677931 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.677499 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.67655 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.675305 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672175 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.669649 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667401 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.670244 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.668837 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.669025 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668176 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.669573 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667401 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02218 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986227 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909271 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88971 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853149 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842651 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830703 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816472 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803696 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790413 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781244 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770056 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76272 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760391 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753471 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744411 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738218 [21] validation_0-merror:0.35 validation_0-mlogloss:0.730819 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.72902 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.727525 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.721515 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714794 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709608 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707826 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70265 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696517 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69374 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.692116 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690042 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.688157 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.68617 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679852 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678159 [37] validation_0-merror:0.3 validation_0-mlogloss:0.676817 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.6768 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677614 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675051 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675103 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673007 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.674016 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672407 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.674792 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.673283 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.673698 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.674852 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.673947 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672407 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05674 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02435 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993657 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94356 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921957 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889204 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863351 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851939 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838437 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829885 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822129 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814838 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805002 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.798815 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792823 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786125 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785721 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779135 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774327 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.772607 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767682 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.761791 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.757758 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751913 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.750706 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745952 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.743365 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74201 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.737264 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.736026 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.732593 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.731125 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.727945 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727391 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.723609 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.720419 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.718492 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.71767 [41] validation_0-merror:0.35 validation_0-mlogloss:0.71581 [42] validation_0-merror:0.35 validation_0-mlogloss:0.714834 [43] validation_0-merror:0.35 validation_0-mlogloss:0.714001 [44] validation_0-merror:0.35 validation_0-mlogloss:0.713168 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.712359 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.709711 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.709379 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.709033 [49] validation_0-merror:0.3 validation_0-mlogloss:0.707703 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.708733 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.708841 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.70936 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.712099 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.711099 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.707703 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03172 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973193 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948428 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925296 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904734 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875356 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866516 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.861092 [11] validation_0-merror:0.3 validation_0-mlogloss:0.854995 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.846449 [13] validation_0-merror:0.3 validation_0-mlogloss:0.838397 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.829594 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.821239 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.8136 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.805856 [18] validation_0-merror:0.3 validation_0-mlogloss:0.794596 [19] validation_0-merror:0.3 validation_0-mlogloss:0.793669 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.781915 [21] validation_0-merror:0.3 validation_0-mlogloss:0.77638 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766911 [23] validation_0-merror:0.3 validation_0-mlogloss:0.761854 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.752497 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751356 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.743492 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741253 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737907 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732285 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730907 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.728964 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.725921 [33] validation_0-merror:0.3 validation_0-mlogloss:0.721239 [34] validation_0-merror:0.3 validation_0-mlogloss:0.717619 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.713193 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.70921 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.708396 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.706105 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.70427 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.703674 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.701519 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.698012 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.693947 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.691609 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.691811 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.689958 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.689679 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.688144 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.687513 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.687091 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.685173 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.685485 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.686847 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.684145 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.68437 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.68531 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.684929 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.681792 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680638 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.681503 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.684808 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.682883 [63] validation_0-merror:0.3 validation_0-mlogloss:0.686086 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.684276 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680638 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06381 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02945 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00256 [3] validation_0-merror:0.4 validation_0-mlogloss:0.973673 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.953475 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926453 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909626 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.89078 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.873162 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.858552 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846386 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834259 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823478 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.81404 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804443 [15] validation_0-merror:0.35 validation_0-mlogloss:0.79536 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78675 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775056 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770782 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766533 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759283 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753921 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748215 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740675 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732344 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726366 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718994 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715528 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713577 [29] validation_0-merror:0.3 validation_0-mlogloss:0.705829 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703062 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.697897 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.695169 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.693979 [34] validation_0-merror:0.3 validation_0-mlogloss:0.693518 [35] validation_0-merror:0.3 validation_0-mlogloss:0.696676 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69607 [37] validation_0-merror:0.3 validation_0-mlogloss:0.691952 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693141 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.69065 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.686344 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687009 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.683585 [43] validation_0-merror:0.3 validation_0-mlogloss:0.682776 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684582 [45] validation_0-merror:0.3 validation_0-mlogloss:0.682685 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.6832 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.680424 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.679737 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.680513 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678035 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.682546 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.682214 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.683333 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.681654 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.680899 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678035 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02024 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986567 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961473 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934308 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910889 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888173 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.870272 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8535 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.835879 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821232 [11] validation_0-merror:0.3 validation_0-mlogloss:0.807545 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793121 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785504 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780522 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771828 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767434 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75875 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757506 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752888 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750508 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745125 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.743804 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742434 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741013 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736289 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733771 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728105 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726199 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727578 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.728632 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726657 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726018 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722102 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.725676 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729209 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722882 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.725212 [38] validation_0-merror:0.35 validation_0-mlogloss:0.724663 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722102 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06649 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02828 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994208 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9696 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94695 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921567 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.900247 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882152 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.866162 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.854601 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835665 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824306 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812723 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.797658 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789198 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784236 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775192 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769693 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760166 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752754 [20] validation_0-merror:0.3 validation_0-mlogloss:0.749265 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744014 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739869 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.730289 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728553 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728738 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.727127 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.722447 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.718539 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.719004 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712766 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708866 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700896 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702352 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.699343 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70002 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69577 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693112 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688907 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688515 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691794 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686575 [42] validation_0-merror:0.3 validation_0-mlogloss:0.686551 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.682917 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.679918 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.677913 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681476 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678465 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.675077 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.676124 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.676673 [51] validation_0-merror:0.3 validation_0-mlogloss:0.675795 [52] validation_0-merror:0.3 validation_0-mlogloss:0.670872 [53] validation_0-merror:0.3 validation_0-mlogloss:0.671751 [54] validation_0-merror:0.3 validation_0-mlogloss:0.677221 [55] validation_0-merror:0.3 validation_0-mlogloss:0.674564 [56] validation_0-merror:0.3 validation_0-mlogloss:0.674026 [57] validation_0-merror:0.3 validation_0-mlogloss:0.673106 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.670872 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02047 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995754 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962628 [4] validation_0-merror:0.3 validation_0-mlogloss:0.944208 [5] validation_0-merror:0.35 validation_0-mlogloss:0.92647 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.90969 [7] validation_0-merror:0.3 validation_0-mlogloss:0.889259 [8] validation_0-merror:0.3 validation_0-mlogloss:0.87369 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.858362 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847935 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834671 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.822634 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816067 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801224 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787809 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77987 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772201 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766501 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764898 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757414 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752734 [22] validation_0-merror:0.3 validation_0-mlogloss:0.743897 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737385 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.735778 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.725455 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719854 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.716942 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716263 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71333 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706007 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.70138 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.692286 [33] validation_0-merror:0.25 validation_0-mlogloss:0.689792 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.687095 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.682872 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.681334 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.682731 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.686062 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682831 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.680789 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.677531 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676726 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676693 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671541 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.670087 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66716 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.661615 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.657679 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.657809 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.65674 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.657374 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.655365 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656854 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.655342 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.655114 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.657782 [57] validation_0-merror:0.3 validation_0-mlogloss:0.655895 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.6573 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.654425 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.655986 [61] validation_0-merror:0.3 validation_0-mlogloss:0.656925 [62] validation_0-merror:0.3 validation_0-mlogloss:0.65787 [63] validation_0-merror:0.3 validation_0-mlogloss:0.660103 [64] validation_0-merror:0.3 validation_0-mlogloss:0.662431 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.654425 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05671 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02409 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996775 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.969334 [4] validation_0-merror:0.4 validation_0-mlogloss:0.94628 [5] validation_0-merror:0.4 validation_0-mlogloss:0.922919 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906518 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88928 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87352 [9] validation_0-merror:0.35 validation_0-mlogloss:0.861363 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852098 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.846912 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.835036 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82754 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816563 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.806846 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801208 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796352 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790106 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783246 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775723 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767826 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763194 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75875 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.758593 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752082 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.742951 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740478 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737456 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.735629 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736511 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735272 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.73036 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.726405 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724571 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724012 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722396 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.725598 [38] validation_0-merror:0.35 validation_0-mlogloss:0.725221 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.728349 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.726919 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.728775 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722396 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02691 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998191 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975112 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953477 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932775 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912037 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895964 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876358 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866273 [10] validation_0-merror:0.35 validation_0-mlogloss:0.853513 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841796 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831096 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.825527 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818618 [15] validation_0-merror:0.35 validation_0-mlogloss:0.811643 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805563 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798491 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791138 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788626 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.783156 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.77644 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768642 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75966 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751267 [25] validation_0-merror:0.3 validation_0-mlogloss:0.749367 [26] validation_0-merror:0.3 validation_0-mlogloss:0.741731 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73775 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730587 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.726154 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.723043 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.717663 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.710887 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.710796 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.705819 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.704811 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697456 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692768 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69184 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690281 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.686195 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.686542 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.684386 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.683454 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684085 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.682817 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.681482 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.679382 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.676275 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.678531 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.677168 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.677266 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.677375 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.678597 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.676275 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05867 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02302 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989497 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959657 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935418 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912516 [6] validation_0-merror:0.35 validation_0-mlogloss:0.891843 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873398 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857465 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846788 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834717 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820751 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.808764 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796068 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786779 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777116 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767519 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759293 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753659 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.746307 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.741695 [21] validation_0-merror:0.35 validation_0-mlogloss:0.734405 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732585 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730486 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728883 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719155 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.71731 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714106 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709122 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698325 [31] validation_0-merror:0.3 validation_0-mlogloss:0.696663 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692554 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686748 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683957 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679388 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.677278 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673276 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672528 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671352 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671595 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673944 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673336 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675446 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676027 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.671352 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05705 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02725 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996394 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970504 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943641 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922253 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903917 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863664 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852815 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842987 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829957 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822606 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.815651 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806027 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798424 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793389 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787498 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784215 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777427 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771857 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764359 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761656 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.757146 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.753496 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.749485 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.747508 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.744417 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.741233 [30] validation_0-merror:0.35 validation_0-mlogloss:0.740904 [31] validation_0-merror:0.35 validation_0-mlogloss:0.738469 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738394 [33] validation_0-merror:0.35 validation_0-mlogloss:0.73837 [34] validation_0-merror:0.35 validation_0-mlogloss:0.738497 [35] validation_0-merror:0.35 validation_0-mlogloss:0.737653 [36] validation_0-merror:0.35 validation_0-mlogloss:0.737655 [37] validation_0-merror:0.35 validation_0-mlogloss:0.734832 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.732793 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.730081 [40] validation_0-merror:0.35 validation_0-mlogloss:0.729632 [41] validation_0-merror:0.35 validation_0-mlogloss:0.732981 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.734424 [43] validation_0-merror:0.35 validation_0-mlogloss:0.732651 [44] validation_0-merror:0.35 validation_0-mlogloss:0.733618 [45] validation_0-merror:0.35 validation_0-mlogloss:0.735434 Stopping. Best iteration: [40] validation_0-merror:0.35 validation_0-mlogloss:0.729632 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971687 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949147 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926288 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906025 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897354 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.867087 [10] validation_0-merror:0.35 validation_0-mlogloss:0.861902 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854575 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.848562 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839585 [14] validation_0-merror:0.35 validation_0-mlogloss:0.831523 [15] validation_0-merror:0.35 validation_0-mlogloss:0.820695 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809424 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797997 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788919 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783628 [20] validation_0-merror:0.3 validation_0-mlogloss:0.776907 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.770334 [22] validation_0-merror:0.3 validation_0-mlogloss:0.759718 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751857 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741664 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740605 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733236 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.733674 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728194 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722585 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.72166 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721448 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716249 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711243 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707388 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705238 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.700939 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698336 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695638 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693828 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691868 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689011 [42] validation_0-merror:0.3 validation_0-mlogloss:0.686465 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683693 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.681974 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.678932 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678333 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.676654 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.674976 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.6742 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.673457 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.67195 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.671917 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.671202 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.670587 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.669398 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.669773 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.669808 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.668537 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.669856 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.670887 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.675664 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.67715 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.677709 Stopping. Best iteration: [58] validation_0-merror:0.266667 validation_0-mlogloss:0.668537 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06586 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03794 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00958 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97925 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912377 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894361 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876652 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861531 [10] validation_0-merror:0.35 validation_0-mlogloss:0.848507 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837119 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826156 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816277 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.806298 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795233 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785492 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.774876 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770543 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765894 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757192 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.750756 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.744939 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737832 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728634 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727891 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723783 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721022 [28] validation_0-merror:0.3 validation_0-mlogloss:0.717034 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710642 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708441 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70301 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700107 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700921 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698929 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702687 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701393 [37] validation_0-merror:0.3 validation_0-mlogloss:0.700305 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701185 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697238 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695019 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.693344 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.690644 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69081 [44] validation_0-merror:0.3 validation_0-mlogloss:0.692539 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.690406 [46] validation_0-merror:0.3 validation_0-mlogloss:0.692733 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689734 [48] validation_0-merror:0.3 validation_0-mlogloss:0.68885 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692228 [50] validation_0-merror:0.3 validation_0-mlogloss:0.689638 [51] validation_0-merror:0.3 validation_0-mlogloss:0.692679 [52] validation_0-merror:0.3 validation_0-mlogloss:0.691624 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.693272 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.68885 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987031 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.96022 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932139 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.911389 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889295 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871481 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854786 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838194 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823102 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810657 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798772 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790213 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785707 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77706 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772842 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.766819 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76551 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758956 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756809 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.751247 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.750844 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748094 [24] validation_0-merror:0.35 validation_0-mlogloss:0.748324 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743315 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740238 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736796 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733094 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733124 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.732721 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72977 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.728903 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725543 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.729721 [35] validation_0-merror:0.35 validation_0-mlogloss:0.733203 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.726967 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.729983 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.729713 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725543 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06617 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02796 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994569 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949225 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92622 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.903872 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.87136 [9] validation_0-merror:0.3 validation_0-mlogloss:0.859379 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840754 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829014 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817506 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80225 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79236 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790747 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783252 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776314 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767582 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761308 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757934 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753662 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749549 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737421 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734332 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.734786 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.734442 [27] validation_0-merror:0.35 validation_0-mlogloss:0.732767 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.729492 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.732718 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.72603 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.721165 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.716468 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.719454 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.716352 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721149 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717291 [37] validation_0-merror:0.35 validation_0-mlogloss:0.714308 [38] validation_0-merror:0.35 validation_0-mlogloss:0.71021 [39] validation_0-merror:0.35 validation_0-mlogloss:0.712786 [40] validation_0-merror:0.35 validation_0-mlogloss:0.710712 [41] validation_0-merror:0.35 validation_0-mlogloss:0.707162 [42] validation_0-merror:0.35 validation_0-mlogloss:0.707895 [43] validation_0-merror:0.35 validation_0-mlogloss:0.703761 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.701077 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.697713 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.701481 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.698948 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.695861 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.698429 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.697735 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.69598 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.691318 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.693165 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.700167 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.698869 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.698161 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.698224 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.691318 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0559 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02377 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965322 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.945261 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926622 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90522 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87519 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859965 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848225 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834651 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825009 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817065 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802935 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788909 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781168 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773819 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770477 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768274 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760676 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754945 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746547 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740842 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736617 [25] validation_0-merror:0.3 validation_0-mlogloss:0.73043 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724597 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722531 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721698 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.718039 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713036 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70848 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702104 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697655 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.695912 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692483 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.689182 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.685071 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.685964 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682587 [40] validation_0-merror:0.3 validation_0-mlogloss:0.683738 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677736 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677156 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676804 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672265 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673406 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.670608 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665095 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661854 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662124 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662396 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661955 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656241 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.65998 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.658141 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.655558 [56] validation_0-merror:0.3 validation_0-mlogloss:0.65827 [57] validation_0-merror:0.3 validation_0-mlogloss:0.656764 [58] validation_0-merror:0.3 validation_0-mlogloss:0.65751 [59] validation_0-merror:0.3 validation_0-mlogloss:0.655104 [60] validation_0-merror:0.3 validation_0-mlogloss:0.65685 [61] validation_0-merror:0.3 validation_0-mlogloss:0.658246 [62] validation_0-merror:0.3 validation_0-mlogloss:0.660925 [63] validation_0-merror:0.3 validation_0-mlogloss:0.661501 [64] validation_0-merror:0.3 validation_0-mlogloss:0.663204 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.655104 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05524 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02037 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992915 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.963957 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939777 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917508 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90136 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884845 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867878 [9] validation_0-merror:0.3 validation_0-mlogloss:0.857257 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850503 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.845317 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.833707 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.825778 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815628 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806295 [16] validation_0-merror:0.35 validation_0-mlogloss:0.80315 [17] validation_0-merror:0.35 validation_0-mlogloss:0.796489 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788863 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781848 [20] validation_0-merror:0.35 validation_0-mlogloss:0.770858 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763571 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759608 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759668 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759628 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.753861 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746796 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.744886 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742334 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.74051 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.740412 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.739692 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736673 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.735157 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.73328 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.732669 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729372 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.730855 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730034 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.732279 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.730622 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.731871 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729372 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06405 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02797 [2] validation_0-merror:0.4 validation_0-mlogloss:0.99926 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976212 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954598 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933591 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911607 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895571 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876654 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866536 [10] validation_0-merror:0.35 validation_0-mlogloss:0.854291 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831282 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.82469 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816649 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809091 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805034 [17] validation_0-merror:0.3 validation_0-mlogloss:0.797364 [18] validation_0-merror:0.3 validation_0-mlogloss:0.789944 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.78753 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.781322 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773246 [22] validation_0-merror:0.3 validation_0-mlogloss:0.765068 [23] validation_0-merror:0.3 validation_0-mlogloss:0.754932 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749914 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748022 [26] validation_0-merror:0.3 validation_0-mlogloss:0.740333 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737747 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731232 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726378 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.725098 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719609 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711638 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.711087 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.704426 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.702395 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702473 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698032 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69615 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.69498 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.689089 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688508 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.684611 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686599 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.688178 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.687016 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.683043 [47] validation_0-merror:0.3 validation_0-mlogloss:0.681155 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682151 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680957 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680038 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680342 [52] validation_0-merror:0.3 validation_0-mlogloss:0.67794 [53] validation_0-merror:0.3 validation_0-mlogloss:0.679328 [54] validation_0-merror:0.3 validation_0-mlogloss:0.681544 [55] validation_0-merror:0.3 validation_0-mlogloss:0.680416 [56] validation_0-merror:0.3 validation_0-mlogloss:0.674624 [57] validation_0-merror:0.3 validation_0-mlogloss:0.67512 [58] validation_0-merror:0.3 validation_0-mlogloss:0.674843 [59] validation_0-merror:0.3 validation_0-mlogloss:0.674514 [60] validation_0-merror:0.3 validation_0-mlogloss:0.676285 [61] validation_0-merror:0.3 validation_0-mlogloss:0.677879 [62] validation_0-merror:0.3 validation_0-mlogloss:0.681103 [63] validation_0-merror:0.3 validation_0-mlogloss:0.682452 [64] validation_0-merror:0.3 validation_0-mlogloss:0.681981 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.674514 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00118 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971155 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.948816 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889292 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87342 [9] validation_0-merror:0.35 validation_0-mlogloss:0.86195 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84991 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837434 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825099 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803632 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792411 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784725 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779658 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771629 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762989 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749201 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74618 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743335 [25] validation_0-merror:0.35 validation_0-mlogloss:0.735731 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732361 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728772 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725916 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72047 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718481 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71569 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.715735 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711574 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710679 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709742 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.709292 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.705066 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.70474 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704544 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704532 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.706007 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702571 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.70344 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702792 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.70423 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.701472 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.702494 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.700869 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697569 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.6955 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.697329 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.694553 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.692788 [54] validation_0-merror:0.3 validation_0-mlogloss:0.688687 [55] validation_0-merror:0.3 validation_0-mlogloss:0.689871 [56] validation_0-merror:0.3 validation_0-mlogloss:0.688491 [57] validation_0-merror:0.3 validation_0-mlogloss:0.688226 [58] validation_0-merror:0.3 validation_0-mlogloss:0.688581 [59] validation_0-merror:0.3 validation_0-mlogloss:0.690343 [60] validation_0-merror:0.3 validation_0-mlogloss:0.68772 [61] validation_0-merror:0.3 validation_0-mlogloss:0.687316 [62] validation_0-merror:0.3 validation_0-mlogloss:0.685427 [63] validation_0-merror:0.3 validation_0-mlogloss:0.684921 [64] validation_0-merror:0.3 validation_0-mlogloss:0.682234 [65] validation_0-merror:0.3 validation_0-mlogloss:0.683324 [66] validation_0-merror:0.3 validation_0-mlogloss:0.681699 [67] validation_0-merror:0.3 validation_0-mlogloss:0.680762 [68] validation_0-merror:0.3 validation_0-mlogloss:0.680862 [69] validation_0-merror:0.3 validation_0-mlogloss:0.681805 [70] validation_0-merror:0.3 validation_0-mlogloss:0.679633 [71] validation_0-merror:0.3 validation_0-mlogloss:0.679977 [72] validation_0-merror:0.3 validation_0-mlogloss:0.680105 [73] validation_0-merror:0.3 validation_0-mlogloss:0.679648 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.679901 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.681518 Stopping. Best iteration: [70] validation_0-merror:0.3 validation_0-mlogloss:0.679633 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99829 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969273 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945041 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927552 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910553 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898459 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885525 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875681 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.865307 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.85463 [12] validation_0-merror:0.4 validation_0-mlogloss:0.841081 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.831438 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821517 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812402 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803854 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.799492 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793955 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789419 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782059 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778549 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771291 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770099 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765059 [25] validation_0-merror:0.35 validation_0-mlogloss:0.76279 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760523 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758045 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756315 [29] validation_0-merror:0.35 validation_0-mlogloss:0.753362 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75099 [31] validation_0-merror:0.35 validation_0-mlogloss:0.752097 [32] validation_0-merror:0.35 validation_0-mlogloss:0.750847 [33] validation_0-merror:0.35 validation_0-mlogloss:0.750221 [34] validation_0-merror:0.35 validation_0-mlogloss:0.751059 [35] validation_0-merror:0.35 validation_0-mlogloss:0.74925 [36] validation_0-merror:0.35 validation_0-mlogloss:0.749668 [37] validation_0-merror:0.35 validation_0-mlogloss:0.745902 [38] validation_0-merror:0.35 validation_0-mlogloss:0.742183 [39] validation_0-merror:0.35 validation_0-mlogloss:0.739823 [40] validation_0-merror:0.35 validation_0-mlogloss:0.739836 [41] validation_0-merror:0.35 validation_0-mlogloss:0.739135 [42] validation_0-merror:0.35 validation_0-mlogloss:0.741305 [43] validation_0-merror:0.35 validation_0-mlogloss:0.739018 [44] validation_0-merror:0.35 validation_0-mlogloss:0.738552 [45] validation_0-merror:0.35 validation_0-mlogloss:0.739921 [46] validation_0-merror:0.35 validation_0-mlogloss:0.736814 [47] validation_0-merror:0.35 validation_0-mlogloss:0.738355 [48] validation_0-merror:0.35 validation_0-mlogloss:0.737063 [49] validation_0-merror:0.35 validation_0-mlogloss:0.736368 [50] validation_0-merror:0.35 validation_0-mlogloss:0.735568 [51] validation_0-merror:0.35 validation_0-mlogloss:0.735643 [52] validation_0-merror:0.35 validation_0-mlogloss:0.739603 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.741585 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.739449 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.739138 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.735568 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971589 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948869 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926473 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867455 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862827 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.85701 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847907 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.839297 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.826326 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.818406 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.807347 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.795886 [18] validation_0-merror:0.3 validation_0-mlogloss:0.786774 [19] validation_0-merror:0.3 validation_0-mlogloss:0.78077 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776346 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771828 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763581 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.753632 [24] validation_0-merror:0.3 validation_0-mlogloss:0.746109 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741654 [26] validation_0-merror:0.3 validation_0-mlogloss:0.736452 [27] validation_0-merror:0.3 validation_0-mlogloss:0.733179 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728311 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724946 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.723294 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719272 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.713532 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708838 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.70467 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.699908 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.697904 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696459 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692342 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.691718 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686698 [41] validation_0-merror:0.3 validation_0-mlogloss:0.685396 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682355 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.679451 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.682098 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.679221 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.677497 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.676628 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.674977 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.673993 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.672937 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.67092 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.667035 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.666282 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.663738 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.664917 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.663354 [57] validation_0-merror:0.25 validation_0-mlogloss:0.662261 [58] validation_0-merror:0.25 validation_0-mlogloss:0.661517 [59] validation_0-merror:0.25 validation_0-mlogloss:0.660106 [60] validation_0-merror:0.25 validation_0-mlogloss:0.660569 [61] validation_0-merror:0.25 validation_0-mlogloss:0.662063 [62] validation_0-merror:0.25 validation_0-mlogloss:0.661573 [63] validation_0-merror:0.25 validation_0-mlogloss:0.664075 [64] validation_0-merror:0.25 validation_0-mlogloss:0.663629 Stopping. Best iteration: [59] validation_0-merror:0.25 validation_0-mlogloss:0.660106 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05848 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03262 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973702 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954976 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915603 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898774 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.881025 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863335 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851413 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839477 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828178 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818582 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808157 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798559 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.789253 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.77789 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.77187 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.766783 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.760282 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.754661 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.749372 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.743093 [24] validation_0-merror:0.25 validation_0-mlogloss:0.733605 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.732885 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729016 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726873 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71987 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.713901 [30] validation_0-merror:0.25 validation_0-mlogloss:0.710743 [31] validation_0-merror:0.25 validation_0-mlogloss:0.70548 [32] validation_0-merror:0.25 validation_0-mlogloss:0.703434 [33] validation_0-merror:0.25 validation_0-mlogloss:0.703966 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.70167 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.700303 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.697575 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.697627 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.698155 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.696524 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.694087 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.693685 [42] validation_0-merror:0.3 validation_0-mlogloss:0.693076 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694661 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696638 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693101 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695142 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.691167 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689413 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.691805 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.688543 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.692302 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690102 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.690878 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.69168 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.689058 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.688543 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0575 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02225 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98976 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962656 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934871 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915271 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893942 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.873107 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855488 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838387 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823319 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810922 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799041 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791182 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.788507 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780701 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.775571 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.770188 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.768761 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762036 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759302 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753821 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.7537 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.750638 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752333 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.747904 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.744502 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.738886 [28] validation_0-merror:0.35 validation_0-mlogloss:0.73453 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.734455 [30] validation_0-merror:0.35 validation_0-mlogloss:0.735298 [31] validation_0-merror:0.35 validation_0-mlogloss:0.731999 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.732243 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.730753 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.733492 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734447 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.7332 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.736126 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.732238 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.730753 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02809 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.99563 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973685 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950613 [5] validation_0-merror:0.3 validation_0-mlogloss:0.927364 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.905467 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887548 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871235 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.859425 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.840717 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82892 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817504 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.802124 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791826 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78851 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780916 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773444 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765025 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759647 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756105 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749962 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749892 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.745266 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745324 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74583 [26] validation_0-merror:0.35 validation_0-mlogloss:0.7439 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738831 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.73668 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.739323 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735654 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732445 [32] validation_0-merror:0.35 validation_0-mlogloss:0.727449 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.728909 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726073 [35] validation_0-merror:0.35 validation_0-mlogloss:0.728395 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728376 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726541 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.722834 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.726413 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.721314 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.717795 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.718248 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.714206 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.711054 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.706238 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.709268 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.708322 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.704769 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.707613 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.703113 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.702469 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.697145 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.698723 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.706764 [55] validation_0-merror:0.35 validation_0-mlogloss:0.706792 [56] validation_0-merror:0.35 validation_0-mlogloss:0.705723 [57] validation_0-merror:0.35 validation_0-mlogloss:0.705606 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.697145 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05582 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965521 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943955 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882358 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866964 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851897 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839839 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826278 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816353 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810141 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794688 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780508 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771833 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764424 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758856 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758009 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750653 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748206 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738145 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730825 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726489 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720153 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71399 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713211 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711939 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710078 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706298 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701396 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692793 [33] validation_0-merror:0.3 validation_0-mlogloss:0.690716 [34] validation_0-merror:0.3 validation_0-mlogloss:0.688405 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.684466 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.682246 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678489 [38] validation_0-merror:0.3 validation_0-mlogloss:0.679531 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674699 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.674684 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.670414 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.668709 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.669753 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.668933 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.669692 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.669361 [47] validation_0-merror:0.3 validation_0-mlogloss:0.663893 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661963 [49] validation_0-merror:0.3 validation_0-mlogloss:0.66062 [50] validation_0-merror:0.3 validation_0-mlogloss:0.661372 [51] validation_0-merror:0.3 validation_0-mlogloss:0.660981 [52] validation_0-merror:0.3 validation_0-mlogloss:0.659141 [53] validation_0-merror:0.3 validation_0-mlogloss:0.662412 [54] validation_0-merror:0.3 validation_0-mlogloss:0.663586 [55] validation_0-merror:0.3 validation_0-mlogloss:0.660577 [56] validation_0-merror:0.3 validation_0-mlogloss:0.663609 [57] validation_0-merror:0.3 validation_0-mlogloss:0.662597 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.659141 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02394 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996354 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967445 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.944089 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922056 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90547 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88792 [8] validation_0-merror:0.3 validation_0-mlogloss:0.870719 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85207 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844141 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837788 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826287 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820386 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810497 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802521 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798741 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79296 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786332 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.781747 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771401 [21] validation_0-merror:0.35 validation_0-mlogloss:0.764824 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.75772 [23] validation_0-merror:0.35 validation_0-mlogloss:0.752834 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75408 [25] validation_0-merror:0.35 validation_0-mlogloss:0.747514 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74045 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739464 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.735409 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737949 [30] validation_0-merror:0.35 validation_0-mlogloss:0.73813 [31] validation_0-merror:0.35 validation_0-mlogloss:0.736389 [32] validation_0-merror:0.35 validation_0-mlogloss:0.735235 [33] validation_0-merror:0.35 validation_0-mlogloss:0.734867 [34] validation_0-merror:0.35 validation_0-mlogloss:0.732147 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731335 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728058 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.730353 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.72958 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.732139 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.730151 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.731171 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.728058 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02956 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00085 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97775 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956649 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935587 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913474 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898758 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868878 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856627 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845175 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834391 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828499 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820393 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814187 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807177 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.79878 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790505 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788095 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78434 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783352 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775629 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765039 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761674 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755484 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748029 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74498 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736768 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733925 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734127 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.731452 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724789 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725846 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.719098 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.718461 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715813 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.711599 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.709761 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.709267 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.703516 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702605 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.700227 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703018 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.70318 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698591 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697292 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.695596 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.695397 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698169 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.697358 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.696208 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.69525 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.696769 [54] validation_0-merror:0.35 validation_0-mlogloss:0.699457 [55] validation_0-merror:0.35 validation_0-mlogloss:0.693975 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.687879 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.686883 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.687113 [59] validation_0-merror:0.3 validation_0-mlogloss:0.687876 [60] validation_0-merror:0.3 validation_0-mlogloss:0.689808 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.692586 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.695118 Stopping. Best iteration: [57] validation_0-merror:0.333333 validation_0-mlogloss:0.686883 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0627 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03085 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999969 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970718 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949097 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927243 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906346 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889457 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873039 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861454 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849227 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838132 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826703 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813281 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804202 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794257 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785364 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778586 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772994 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766177 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759531 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753947 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750761 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748104 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745229 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738165 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.734719 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732385 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729466 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724456 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.722039 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721623 [32] validation_0-merror:0.3 validation_0-mlogloss:0.720087 [33] validation_0-merror:0.3 validation_0-mlogloss:0.719814 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721829 [35] validation_0-merror:0.3 validation_0-mlogloss:0.719987 [36] validation_0-merror:0.3 validation_0-mlogloss:0.718662 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.71654 [38] validation_0-merror:0.3 validation_0-mlogloss:0.716295 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.716536 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.716603 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.715773 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.714229 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.714273 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.709795 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.708155 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.706763 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.706092 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.706115 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.707563 [50] validation_0-merror:0.3 validation_0-mlogloss:0.704784 [51] validation_0-merror:0.3 validation_0-mlogloss:0.707072 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.707588 [53] validation_0-merror:0.3 validation_0-mlogloss:0.706866 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.70515 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.70291 [56] validation_0-merror:0.3 validation_0-mlogloss:0.700322 [57] validation_0-merror:0.3 validation_0-mlogloss:0.69903 [58] validation_0-merror:0.3 validation_0-mlogloss:0.699847 [59] validation_0-merror:0.3 validation_0-mlogloss:0.69922 [60] validation_0-merror:0.3 validation_0-mlogloss:0.697732 [61] validation_0-merror:0.3 validation_0-mlogloss:0.697089 [62] validation_0-merror:0.3 validation_0-mlogloss:0.695731 [63] validation_0-merror:0.3 validation_0-mlogloss:0.696612 [64] validation_0-merror:0.3 validation_0-mlogloss:0.698163 [65] validation_0-merror:0.3 validation_0-mlogloss:0.697988 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.697611 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.695849 Stopping. Best iteration: [62] validation_0-merror:0.3 validation_0-mlogloss:0.695731 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05715 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02739 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994041 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965801 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938375 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918972 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900039 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886607 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873876 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863635 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.85328 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843123 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831054 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822182 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815613 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807352 [16] validation_0-merror:0.35 validation_0-mlogloss:0.800991 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793982 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787607 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783759 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777269 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.775487 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771345 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.768946 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763392 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.760019 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757581 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758197 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755542 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.753664 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.751147 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752045 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747311 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.748183 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.745683 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.742596 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.740717 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.737926 [38] validation_0-merror:0.35 validation_0-mlogloss:0.735776 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.735276 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.73542 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.734587 [42] validation_0-merror:0.35 validation_0-mlogloss:0.734939 [43] validation_0-merror:0.35 validation_0-mlogloss:0.73479 [44] validation_0-merror:0.35 validation_0-mlogloss:0.733863 [45] validation_0-merror:0.35 validation_0-mlogloss:0.735729 [46] validation_0-merror:0.35 validation_0-mlogloss:0.735833 [47] validation_0-merror:0.35 validation_0-mlogloss:0.736201 [48] validation_0-merror:0.35 validation_0-mlogloss:0.735585 [49] validation_0-merror:0.35 validation_0-mlogloss:0.734303 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.733863 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0343 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974659 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.951715 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925813 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905415 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895566 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875365 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866715 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861954 [11] validation_0-merror:0.35 validation_0-mlogloss:0.855832 [12] validation_0-merror:0.35 validation_0-mlogloss:0.850844 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.842652 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.830812 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81949 [16] validation_0-merror:0.35 validation_0-mlogloss:0.809546 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.80286 [18] validation_0-merror:0.35 validation_0-mlogloss:0.795842 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.784242 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783097 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775276 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.769253 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763317 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756908 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752189 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750022 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747504 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.743892 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740205 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.73917 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73253 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727566 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722063 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.72103 [35] validation_0-merror:0.3 validation_0-mlogloss:0.718173 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714228 [37] validation_0-merror:0.3 validation_0-mlogloss:0.711913 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707603 [39] validation_0-merror:0.3 validation_0-mlogloss:0.706054 [40] validation_0-merror:0.3 validation_0-mlogloss:0.705022 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702293 [42] validation_0-merror:0.3 validation_0-mlogloss:0.7017 [43] validation_0-merror:0.3 validation_0-mlogloss:0.701911 [44] validation_0-merror:0.3 validation_0-mlogloss:0.703715 [45] validation_0-merror:0.3 validation_0-mlogloss:0.701247 [46] validation_0-merror:0.3 validation_0-mlogloss:0.701377 [47] validation_0-merror:0.3 validation_0-mlogloss:0.701793 [48] validation_0-merror:0.3 validation_0-mlogloss:0.698953 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.695685 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.693044 [51] validation_0-merror:0.3 validation_0-mlogloss:0.689661 [52] validation_0-merror:0.3 validation_0-mlogloss:0.687834 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.68633 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.68672 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.68535 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.685508 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.684407 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.684036 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.681799 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.680414 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.682031 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.682594 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.682682 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.682557 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.683627 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.680414 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06121 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02042 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992263 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954937 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935771 [5] validation_0-merror:0.35 validation_0-mlogloss:0.909055 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.890876 [7] validation_0-merror:0.3 validation_0-mlogloss:0.872613 [8] validation_0-merror:0.3 validation_0-mlogloss:0.854189 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837395 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825535 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812109 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799157 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791786 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779707 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769863 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.758795 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752683 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746058 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.742086 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.729914 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.724777 [22] validation_0-merror:0.3 validation_0-mlogloss:0.713758 [23] validation_0-merror:0.3 validation_0-mlogloss:0.705852 [24] validation_0-merror:0.3 validation_0-mlogloss:0.696226 [25] validation_0-merror:0.3 validation_0-mlogloss:0.691634 [26] validation_0-merror:0.3 validation_0-mlogloss:0.686264 [27] validation_0-merror:0.3 validation_0-mlogloss:0.689166 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.686717 [29] validation_0-merror:0.3 validation_0-mlogloss:0.676232 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.67038 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.665722 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.663057 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.660164 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.664691 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.670419 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671083 [37] validation_0-merror:0.3 validation_0-mlogloss:0.666621 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665162 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.660164 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05714 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02468 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986043 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957078 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922451 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901617 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.875781 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.858435 [8] validation_0-merror:0.35 validation_0-mlogloss:0.8358 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.820828 [10] validation_0-merror:0.35 validation_0-mlogloss:0.809566 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.798493 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.790291 [13] validation_0-merror:0.35 validation_0-mlogloss:0.780219 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777007 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.767143 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764793 [17] validation_0-merror:0.35 validation_0-mlogloss:0.758353 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.756276 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756103 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75737 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758738 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760792 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76041 [24] validation_0-merror:0.35 validation_0-mlogloss:0.763296 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756103 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01834 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.980372 [3] validation_0-merror:0.35 validation_0-mlogloss:0.960594 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932014 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917393 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899277 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885981 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8702 [9] validation_0-merror:0.35 validation_0-mlogloss:0.857506 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843149 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.831583 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.81653 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802422 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788593 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791803 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783752 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781364 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772663 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766723 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.766699 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767062 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766397 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759449 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759014 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75901 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755179 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754457 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753244 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750921 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.74379 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.738355 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.73574 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.738613 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.741544 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.743724 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.740105 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733443 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.73514 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.738325 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.745627 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.744159 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.744127 Stopping. Best iteration: [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733443 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00906 [2] validation_0-merror:0.3 validation_0-mlogloss:0.977176 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.940912 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.91954 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.890533 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.86747 [7] validation_0-merror:0.3 validation_0-mlogloss:0.84862 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.829531 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.810975 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.798751 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.784535 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.772169 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.759128 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.750826 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.738523 [16] validation_0-merror:0.3 validation_0-mlogloss:0.727591 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.719495 [18] validation_0-merror:0.3 validation_0-mlogloss:0.716805 [19] validation_0-merror:0.3 validation_0-mlogloss:0.714671 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.708317 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.704246 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.697335 [23] validation_0-merror:0.3 validation_0-mlogloss:0.69577 [24] validation_0-merror:0.3 validation_0-mlogloss:0.691565 [25] validation_0-merror:0.3 validation_0-mlogloss:0.691038 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.685359 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.687406 [28] validation_0-merror:0.3 validation_0-mlogloss:0.685046 [29] validation_0-merror:0.3 validation_0-mlogloss:0.68479 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.68003 [31] validation_0-merror:0.3 validation_0-mlogloss:0.676939 [32] validation_0-merror:0.3 validation_0-mlogloss:0.672737 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.67177 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.673663 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673751 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.67232 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.675428 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.676542 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.67177 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05363 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00769 [2] validation_0-merror:0.3 validation_0-mlogloss:0.975822 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942108 [4] validation_0-merror:0.3 validation_0-mlogloss:0.9154 [5] validation_0-merror:0.3 validation_0-mlogloss:0.886343 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.866565 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849245 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.823579 [9] validation_0-merror:0.3 validation_0-mlogloss:0.811589 [10] validation_0-merror:0.3 validation_0-mlogloss:0.805372 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.801637 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793991 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788253 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780721 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.774216 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.770462 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763714 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756322 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749416 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743609 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74378 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740062 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740961 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.745905 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743889 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741958 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740495 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740062 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05149 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0137 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981471 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962592 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936281 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916923 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901069 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.889516 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866118 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854184 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.848018 [11] validation_0-merror:0.3 validation_0-mlogloss:0.832828 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.820414 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.808718 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796287 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790337 [16] validation_0-merror:0.3 validation_0-mlogloss:0.787831 [17] validation_0-merror:0.3 validation_0-mlogloss:0.777602 [18] validation_0-merror:0.3 validation_0-mlogloss:0.771156 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764713 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760584 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76124 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754747 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751479 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746775 [25] validation_0-merror:0.3 validation_0-mlogloss:0.747571 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74721 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.745814 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743643 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738052 [30] validation_0-merror:0.3 validation_0-mlogloss:0.73629 [31] validation_0-merror:0.3 validation_0-mlogloss:0.739003 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.736708 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.740838 [34] validation_0-merror:0.3 validation_0-mlogloss:0.736835 [35] validation_0-merror:0.3 validation_0-mlogloss:0.73942 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.73629 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04996 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00719 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97286 [3] validation_0-merror:0.3 validation_0-mlogloss:0.938689 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.910487 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.883204 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.860175 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.837327 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.818676 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.804868 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.792345 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.778041 [12] validation_0-merror:0.25 validation_0-mlogloss:0.765656 [13] validation_0-merror:0.233333 validation_0-mlogloss:0.752554 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.743537 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.734827 [16] validation_0-merror:0.25 validation_0-mlogloss:0.728646 [17] validation_0-merror:0.25 validation_0-mlogloss:0.72548 [18] validation_0-merror:0.25 validation_0-mlogloss:0.721007 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.717249 [20] validation_0-merror:0.25 validation_0-mlogloss:0.711136 [21] validation_0-merror:0.25 validation_0-mlogloss:0.705879 [22] validation_0-merror:0.25 validation_0-mlogloss:0.70524 [23] validation_0-merror:0.25 validation_0-mlogloss:0.701502 [24] validation_0-merror:0.25 validation_0-mlogloss:0.701308 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.69442 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.693157 [27] validation_0-merror:0.25 validation_0-mlogloss:0.691404 [28] validation_0-merror:0.25 validation_0-mlogloss:0.692218 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.686691 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.683741 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.68313 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.678768 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679616 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680136 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679219 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.679064 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.680566 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.678768 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05323 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02259 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984991 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957735 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92673 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902048 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885197 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.86627 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850853 [9] validation_0-merror:0.3 validation_0-mlogloss:0.839747 [10] validation_0-merror:0.3 validation_0-mlogloss:0.830103 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.818538 [12] validation_0-merror:0.3 validation_0-mlogloss:0.809407 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.800042 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794653 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.784415 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.778156 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770395 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770766 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770553 [20] validation_0-merror:0.3 validation_0-mlogloss:0.772307 [21] validation_0-merror:0.3 validation_0-mlogloss:0.773337 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.774563 Stopping. Best iteration: [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770395 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05901 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01738 [2] validation_0-merror:0.3 validation_0-mlogloss:0.979764 [3] validation_0-merror:0.3 validation_0-mlogloss:0.953082 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.918212 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.891127 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870915 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856191 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840594 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831085 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823657 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82447 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818812 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810803 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800199 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794712 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.788389 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780664 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780382 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777519 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777057 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.773835 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.779822 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7802 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.775517 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.770915 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.776138 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.780741 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.781488 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.78601 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.787862 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.770915 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01233 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983904 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948843 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928239 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903212 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885906 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.865792 [8] validation_0-merror:0.3 validation_0-mlogloss:0.846097 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829687 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820557 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.808494 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796901 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.78957 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.775946 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768854 [16] validation_0-merror:0.35 validation_0-mlogloss:0.760607 [17] validation_0-merror:0.35 validation_0-mlogloss:0.751101 [18] validation_0-merror:0.35 validation_0-mlogloss:0.748454 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744751 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.733745 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.730799 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.721591 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.712473 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.705304 [25] validation_0-merror:0.3 validation_0-mlogloss:0.700719 [26] validation_0-merror:0.3 validation_0-mlogloss:0.693947 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69664 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.698617 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691896 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.686933 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.684236 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.679419 [33] validation_0-merror:0.3 validation_0-mlogloss:0.677675 [34] validation_0-merror:0.3 validation_0-mlogloss:0.680217 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679693 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678237 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674857 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.67709 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.674729 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676557 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.675677 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.670298 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668944 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.669383 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.67074 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.67224 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.667653 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668764 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.675056 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675265 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.679855 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.680241 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.667653 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05805 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02376 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987638 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958604 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925042 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.901487 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879648 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862302 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841778 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.822203 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.808967 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.798461 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.78835 [13] validation_0-merror:0.35 validation_0-mlogloss:0.781349 [14] validation_0-merror:0.35 validation_0-mlogloss:0.777246 [15] validation_0-merror:0.35 validation_0-mlogloss:0.766735 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767638 [17] validation_0-merror:0.35 validation_0-mlogloss:0.75822 [18] validation_0-merror:0.35 validation_0-mlogloss:0.75558 [19] validation_0-merror:0.35 validation_0-mlogloss:0.756362 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76068 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760622 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761529 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762688 Stopping. Best iteration: [18] validation_0-merror:0.35 validation_0-mlogloss:0.75558 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01899 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.981744 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.93894 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924475 [6] validation_0-merror:0.35 validation_0-mlogloss:0.904782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.8917 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870017 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856537 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839718 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829761 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.812771 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796343 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787382 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787829 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77919 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773187 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.763638 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758151 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756155 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755074 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751759 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.745306 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743166 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743795 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743942 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739801 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736515 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.733387 [30] validation_0-merror:0.3 validation_0-mlogloss:0.729115 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.729006 [32] validation_0-merror:0.3 validation_0-mlogloss:0.726445 [33] validation_0-merror:0.3 validation_0-mlogloss:0.728509 [34] validation_0-merror:0.3 validation_0-mlogloss:0.730245 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.735668 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.730779 [37] validation_0-merror:0.3 validation_0-mlogloss:0.72362 [38] validation_0-merror:0.3 validation_0-mlogloss:0.724501 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727055 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.734674 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.729774 [42] validation_0-merror:0.3 validation_0-mlogloss:0.729482 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.72362 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04778 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01246 [2] validation_0-merror:0.3 validation_0-mlogloss:0.982978 [3] validation_0-merror:0.3 validation_0-mlogloss:0.946593 [4] validation_0-merror:0.3 validation_0-mlogloss:0.926948 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905031 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.887954 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867112 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.845811 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831173 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.8167 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.80449 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.792285 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.782324 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.775076 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.763601 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.753029 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.743751 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.741179 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741001 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.734611 [21] validation_0-merror:0.3 validation_0-mlogloss:0.729805 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722735 [23] validation_0-merror:0.3 validation_0-mlogloss:0.714638 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.710133 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.705012 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699217 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699872 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.699602 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69892 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.69315 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.687422 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684495 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.681507 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.682246 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.681185 [36] validation_0-merror:0.3 validation_0-mlogloss:0.682028 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.685461 [38] validation_0-merror:0.3 validation_0-mlogloss:0.686655 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685069 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686884 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.681185 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04865 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00514 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975964 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940513 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913168 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.887026 [6] validation_0-merror:0.3 validation_0-mlogloss:0.871819 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.853979 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.835497 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.821262 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811856 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804493 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795345 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790085 [14] validation_0-merror:0.35 validation_0-mlogloss:0.785432 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778481 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775252 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7713 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768879 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763315 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755862 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758393 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753644 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754472 [24] validation_0-merror:0.35 validation_0-mlogloss:0.757205 [25] validation_0-merror:0.35 validation_0-mlogloss:0.754319 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750389 [27] validation_0-merror:0.35 validation_0-mlogloss:0.745939 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745934 [29] validation_0-merror:0.35 validation_0-mlogloss:0.745464 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749007 [31] validation_0-merror:0.35 validation_0-mlogloss:0.753218 [32] validation_0-merror:0.35 validation_0-mlogloss:0.751695 [33] validation_0-merror:0.35 validation_0-mlogloss:0.753667 [34] validation_0-merror:0.35 validation_0-mlogloss:0.752551 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.745464 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05588 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01387 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.980358 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964343 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935162 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915908 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896343 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883065 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862529 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852466 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844511 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829754 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816722 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809268 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798266 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.79757 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.793417 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.785611 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.788076 [19] validation_0-merror:0.3 validation_0-mlogloss:0.780868 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775834 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.775928 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771007 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.768224 [24] validation_0-merror:0.3 validation_0-mlogloss:0.762833 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.760002 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.757943 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757155 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.750613 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.746247 [30] validation_0-merror:0.3 validation_0-mlogloss:0.744945 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.74601 [32] validation_0-merror:0.3 validation_0-mlogloss:0.745565 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.748466 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.745016 [35] validation_0-merror:0.3 validation_0-mlogloss:0.75058 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.744945 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97732 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948205 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.918654 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.894302 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.873435 [7] validation_0-merror:0.3 validation_0-mlogloss:0.852502 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.835342 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.820145 [10] validation_0-merror:0.35 validation_0-mlogloss:0.808643 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.793371 [12] validation_0-merror:0.3 validation_0-mlogloss:0.780432 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.771621 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.761389 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.751577 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.742881 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.731371 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.721255 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.718021 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.711716 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.705732 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.704422 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.703434 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.700958 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.694782 [26] validation_0-merror:0.3 validation_0-mlogloss:0.692291 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.692552 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.692436 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.686913 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.683784 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684422 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.682443 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680046 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.679249 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.678063 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.677461 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.678096 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.677478 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.676263 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.674928 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677049 [42] validation_0-merror:0.3 validation_0-mlogloss:0.676361 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.677393 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677478 [45] validation_0-merror:0.3 validation_0-mlogloss:0.677578 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.674928 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02058 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983152 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955531 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924438 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.903556 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.88457 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.866412 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849904 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839506 [10] validation_0-merror:0.35 validation_0-mlogloss:0.828884 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814012 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802622 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789835 [14] validation_0-merror:0.3 validation_0-mlogloss:0.780852 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779923 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771163 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765637 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766897 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767257 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.769046 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762209 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764381 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760445 [24] validation_0-merror:0.35 validation_0-mlogloss:0.757265 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757939 [26] validation_0-merror:0.35 validation_0-mlogloss:0.76082 [27] validation_0-merror:0.35 validation_0-mlogloss:0.764775 [28] validation_0-merror:0.35 validation_0-mlogloss:0.76574 [29] validation_0-merror:0.35 validation_0-mlogloss:0.767783 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.757265 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01745 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981742 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.953265 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.9205 [5] validation_0-merror:0.3 validation_0-mlogloss:0.894144 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.872909 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861073 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846949 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838691 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.828638 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.816639 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809692 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803273 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795347 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793366 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780035 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770772 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768256 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765964 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763563 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.757445 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761082 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758478 [24] validation_0-merror:0.3 validation_0-mlogloss:0.755521 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.753609 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.753486 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.754405 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.752587 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.750781 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.750784 [31] validation_0-merror:0.3 validation_0-mlogloss:0.750445 [32] validation_0-merror:0.3 validation_0-mlogloss:0.746484 [33] validation_0-merror:0.3 validation_0-mlogloss:0.743367 [34] validation_0-merror:0.3 validation_0-mlogloss:0.742062 [35] validation_0-merror:0.3 validation_0-mlogloss:0.743041 [36] validation_0-merror:0.3 validation_0-mlogloss:0.744145 [37] validation_0-merror:0.3 validation_0-mlogloss:0.744237 [38] validation_0-merror:0.3 validation_0-mlogloss:0.745339 [39] validation_0-merror:0.3 validation_0-mlogloss:0.744225 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.742062 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06336 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02338 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.992902 [3] validation_0-merror:0.35 validation_0-mlogloss:0.960055 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937147 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909887 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893793 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873834 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856711 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840316 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.832017 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819634 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.808304 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802975 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793434 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784833 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776718 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764555 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763394 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761613 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751669 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746925 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.743801 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.733891 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728451 [25] validation_0-merror:0.3 validation_0-mlogloss:0.729839 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725215 [27] validation_0-merror:0.3 validation_0-mlogloss:0.726053 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724007 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.718776 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714961 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.710744 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709792 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.707586 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707909 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.711749 [36] validation_0-merror:0.3 validation_0-mlogloss:0.710679 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.70587 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.706369 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.705156 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.707092 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.705388 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.701979 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.698902 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.700786 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.699701 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.700206 [47] validation_0-merror:0.3 validation_0-mlogloss:0.701215 [48] validation_0-merror:0.3 validation_0-mlogloss:0.703915 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.698902 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985969 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959536 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928719 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.9056 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880172 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.859581 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840309 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.823275 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.807868 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.799886 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.791209 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.784736 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.780789 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.769819 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.767007 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.759018 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.76003 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.758431 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.75446 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752911 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752632 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754233 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754131 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752768 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755096 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752045 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.753139 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.757988 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.758164 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.75932 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756242 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752045 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06273 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02092 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985087 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965015 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940502 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918537 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.899755 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884593 [8] validation_0-merror:0.35 validation_0-mlogloss:0.862892 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849302 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832361 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822072 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811947 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798296 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785378 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783985 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774343 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.76459 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759896 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753381 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.74582 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744087 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.740954 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734149 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731454 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.733965 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734555 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731854 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.72738 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723863 [30] validation_0-merror:0.3 validation_0-mlogloss:0.720357 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.713961 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710045 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713642 [34] validation_0-merror:0.3 validation_0-mlogloss:0.7122 [35] validation_0-merror:0.3 validation_0-mlogloss:0.718645 [36] validation_0-merror:0.3 validation_0-mlogloss:0.718594 [37] validation_0-merror:0.3 validation_0-mlogloss:0.715776 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.710045 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01389 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986546 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951189 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929467 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909882 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89229 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870469 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853105 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83865 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824571 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811417 [12] validation_0-merror:0.35 validation_0-mlogloss:0.800964 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790993 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.780333 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769596 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.758966 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751512 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749223 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749816 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74331 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.737523 [22] validation_0-merror:0.35 validation_0-mlogloss:0.732344 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726806 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724145 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719236 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.713146 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713839 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711058 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.710435 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703323 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699404 [32] validation_0-merror:0.3 validation_0-mlogloss:0.697184 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696864 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694356 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691194 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687698 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688527 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.686348 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683263 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684035 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.683393 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682985 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683696 [44] validation_0-merror:0.3 validation_0-mlogloss:0.682278 [45] validation_0-merror:0.3 validation_0-mlogloss:0.68261 [46] validation_0-merror:0.3 validation_0-mlogloss:0.680995 [47] validation_0-merror:0.3 validation_0-mlogloss:0.679263 [48] validation_0-merror:0.3 validation_0-mlogloss:0.677393 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677847 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678496 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679164 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676392 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.67882 [54] validation_0-merror:0.3 validation_0-mlogloss:0.677257 [55] validation_0-merror:0.3 validation_0-mlogloss:0.678933 [56] validation_0-merror:0.3 validation_0-mlogloss:0.680806 [57] validation_0-merror:0.3 validation_0-mlogloss:0.680223 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676392 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00751 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977737 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.947702 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92005 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897225 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880639 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864705 [8] validation_0-merror:0.3 validation_0-mlogloss:0.84456 [9] validation_0-merror:0.3 validation_0-mlogloss:0.828433 [10] validation_0-merror:0.3 validation_0-mlogloss:0.8207 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815212 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803581 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797483 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791747 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784431 [16] validation_0-merror:0.35 validation_0-mlogloss:0.780644 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775932 [18] validation_0-merror:0.35 validation_0-mlogloss:0.774207 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766194 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759106 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.759299 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754899 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755158 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.759114 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758357 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75468 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756106 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75579 [29] validation_0-merror:0.35 validation_0-mlogloss:0.754154 [30] validation_0-merror:0.35 validation_0-mlogloss:0.757012 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761599 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.759433 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.76017 [34] validation_0-merror:0.35 validation_0-mlogloss:0.758921 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.754154 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05745 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01243 [2] validation_0-merror:0.3 validation_0-mlogloss:0.983548 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963446 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939769 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.914023 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.893813 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878917 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.855102 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.843958 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.833875 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.819054 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807547 [13] validation_0-merror:0.25 validation_0-mlogloss:0.799136 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791313 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783394 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781015 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.768811 [18] validation_0-merror:0.3 validation_0-mlogloss:0.767977 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762403 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758517 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75903 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753275 [23] validation_0-merror:0.25 validation_0-mlogloss:0.749676 [24] validation_0-merror:0.25 validation_0-mlogloss:0.743503 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.74286 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.736142 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735537 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.729633 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.7268 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.727627 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.723534 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720721 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.723154 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.721572 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.728121 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.727465 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.72736 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720721 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05354 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01548 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980212 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94853 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919066 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892176 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.869526 [7] validation_0-merror:0.3 validation_0-mlogloss:0.850901 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834001 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.823088 [10] validation_0-merror:0.3 validation_0-mlogloss:0.810654 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.793344 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.783768 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.773815 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.765411 [15] validation_0-merror:0.25 validation_0-mlogloss:0.754226 [16] validation_0-merror:0.25 validation_0-mlogloss:0.746497 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.739945 [18] validation_0-merror:0.3 validation_0-mlogloss:0.733361 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.730758 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.722862 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.717937 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.7176 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.712554 [24] validation_0-merror:0.3 validation_0-mlogloss:0.706197 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.702568 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.700392 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699509 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.696531 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691624 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.692129 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689601 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.689747 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.690827 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.694091 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.693661 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.693815 Stopping. Best iteration: [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689601 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01805 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979383 [3] validation_0-merror:0.4 validation_0-mlogloss:0.949609 [4] validation_0-merror:0.4 validation_0-mlogloss:0.919674 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.896379 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.878218 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86196 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.850917 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.836729 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.823003 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.809722 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799786 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794975 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789963 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780918 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776589 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773711 [18] validation_0-merror:0.35 validation_0-mlogloss:0.771061 [19] validation_0-merror:0.35 validation_0-mlogloss:0.769237 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769848 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768552 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767879 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765868 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763444 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765079 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764865 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.768165 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.771017 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.76755 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763444 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06264 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02394 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.989062 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967708 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937226 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.914193 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.88947 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870789 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851176 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.845861 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.831906 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.817228 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806709 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.800106 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787705 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784713 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77603 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768589 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765948 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762201 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.763186 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757509 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.752705 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.747221 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.74297 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.738313 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737496 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.73738 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.735633 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.738044 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.739638 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.738472 [32] validation_0-merror:0.3 validation_0-mlogloss:0.738041 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734266 [34] validation_0-merror:0.3 validation_0-mlogloss:0.733178 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.734417 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.732197 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.731319 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.728903 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.729954 [40] validation_0-merror:0.3 validation_0-mlogloss:0.731068 [41] validation_0-merror:0.3 validation_0-mlogloss:0.73063 [42] validation_0-merror:0.3 validation_0-mlogloss:0.731427 [43] validation_0-merror:0.3 validation_0-mlogloss:0.732712 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.728903 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03552 [2] validation_0-merror:0.45 validation_0-mlogloss:1.00427 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948995 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922907 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906248 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888975 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.873658 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852742 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843336 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829199 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817946 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80381 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791829 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784179 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774774 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765787 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.762751 [19] validation_0-merror:0.35 validation_0-mlogloss:0.75965 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.749218 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743706 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739516 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737801 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731537 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734349 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.732491 [27] validation_0-merror:0.3 validation_0-mlogloss:0.731804 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732843 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72607 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725333 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721588 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71903 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716907 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718972 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.723729 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.724873 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.723097 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.726425 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716907 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02665 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.988637 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.961597 [4] validation_0-merror:0.3 validation_0-mlogloss:0.929339 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907854 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885141 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866266 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847545 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830563 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814383 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805592 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798053 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789819 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.784529 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777661 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.773956 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7648 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.764937 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.759976 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.754742 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.748392 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.749376 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.751801 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.756949 [25] validation_0-merror:0.4 validation_0-mlogloss:0.754672 [26] validation_0-merror:0.4 validation_0-mlogloss:0.753199 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.748392 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989155 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940658 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919525 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901598 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886311 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867594 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859224 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841484 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832067 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.819768 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80463 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793853 [15] validation_0-merror:0.35 validation_0-mlogloss:0.794234 [16] validation_0-merror:0.35 validation_0-mlogloss:0.786557 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77729 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771215 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766404 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760844 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75608 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754169 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749938 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747576 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74784 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749505 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.748682 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747865 [29] validation_0-merror:0.35 validation_0-mlogloss:0.742504 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738531 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732345 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.730048 [33] validation_0-merror:0.35 validation_0-mlogloss:0.734343 [34] validation_0-merror:0.35 validation_0-mlogloss:0.736227 [35] validation_0-merror:0.35 validation_0-mlogloss:0.736671 [36] validation_0-merror:0.35 validation_0-mlogloss:0.734747 [37] validation_0-merror:0.35 validation_0-mlogloss:0.731896 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.730048 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05143 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01606 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991991 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958594 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937461 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911252 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.890433 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873526 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.860198 [9] validation_0-merror:0.3 validation_0-mlogloss:0.842401 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.82853 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.815236 [12] validation_0-merror:0.3 validation_0-mlogloss:0.806518 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787322 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.777982 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.770938 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763228 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760808 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763535 [20] validation_0-merror:0.3 validation_0-mlogloss:0.755699 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.750281 [22] validation_0-merror:0.3 validation_0-mlogloss:0.744517 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739233 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73481 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.729512 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723986 [27] validation_0-merror:0.3 validation_0-mlogloss:0.726923 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728426 [29] validation_0-merror:0.3 validation_0-mlogloss:0.726989 [30] validation_0-merror:0.3 validation_0-mlogloss:0.723489 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720022 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716847 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710858 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708251 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.704758 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.701894 [37] validation_0-merror:0.3 validation_0-mlogloss:0.700894 [38] validation_0-merror:0.3 validation_0-mlogloss:0.701581 [39] validation_0-merror:0.3 validation_0-mlogloss:0.69361 [40] validation_0-merror:0.3 validation_0-mlogloss:0.695504 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691331 [42] validation_0-merror:0.3 validation_0-mlogloss:0.692896 [43] validation_0-merror:0.3 validation_0-mlogloss:0.69327 [44] validation_0-merror:0.3 validation_0-mlogloss:0.69352 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694571 [46] validation_0-merror:0.3 validation_0-mlogloss:0.695251 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.691331 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05654 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01423 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.984352 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951727 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.922272 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.893388 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877808 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.855821 [8] validation_0-merror:0.3 validation_0-mlogloss:0.837433 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.821214 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.812183 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807385 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79705 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790049 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783155 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775893 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77122 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765783 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763192 [19] validation_0-merror:0.35 validation_0-mlogloss:0.757393 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748063 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749187 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.745647 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748284 [24] validation_0-merror:0.35 validation_0-mlogloss:0.74876 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746918 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74521 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742683 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742412 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.74165 [30] validation_0-merror:0.35 validation_0-mlogloss:0.743704 [31] validation_0-merror:0.35 validation_0-mlogloss:0.742406 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743623 [33] validation_0-merror:0.35 validation_0-mlogloss:0.742956 [34] validation_0-merror:0.35 validation_0-mlogloss:0.741828 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.74165 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01555 [2] validation_0-merror:0.25 validation_0-mlogloss:0.984762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961991 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942174 [5] validation_0-merror:0.25 validation_0-mlogloss:0.914316 [6] validation_0-merror:0.25 validation_0-mlogloss:0.893847 [7] validation_0-merror:0.25 validation_0-mlogloss:0.8803 [8] validation_0-merror:0.25 validation_0-mlogloss:0.862094 [9] validation_0-merror:0.25 validation_0-mlogloss:0.850289 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.836808 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.825577 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813841 [13] validation_0-merror:0.3 validation_0-mlogloss:0.803773 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794025 [15] validation_0-merror:0.3 validation_0-mlogloss:0.787199 [16] validation_0-merror:0.3 validation_0-mlogloss:0.783069 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77552 [18] validation_0-merror:0.3 validation_0-mlogloss:0.776824 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769836 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760817 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.761072 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754074 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.747429 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.74621 [25] validation_0-merror:0.3 validation_0-mlogloss:0.746009 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737501 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734791 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.73019 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.726267 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726621 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722632 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.720772 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.72325 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.719382 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.723985 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.721038 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.720508 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.719966 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.723406 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.719382 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06038 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02292 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988353 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957764 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932801 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909184 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889895 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873102 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85593 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844387 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.833508 [11] validation_0-merror:0.3 validation_0-mlogloss:0.816465 [12] validation_0-merror:0.3 validation_0-mlogloss:0.806782 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798255 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789549 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78264 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773373 [17] validation_0-merror:0.3 validation_0-mlogloss:0.766145 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763831 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756908 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.75194 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.745954 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740396 [23] validation_0-merror:0.3 validation_0-mlogloss:0.736746 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732517 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726087 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721356 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720744 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.719087 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714287 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713513 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715203 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713725 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714188 [34] validation_0-merror:0.3 validation_0-mlogloss:0.713835 [35] validation_0-merror:0.3 validation_0-mlogloss:0.715686 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.713513 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05037 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01766 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980266 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.954893 [4] validation_0-merror:0.4 validation_0-mlogloss:0.92852 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.909091 [6] validation_0-merror:0.4 validation_0-mlogloss:0.892724 [7] validation_0-merror:0.433333 validation_0-mlogloss:0.875786 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.863163 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852353 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837036 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820688 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810484 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804763 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797265 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793837 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.78979 [17] validation_0-merror:0.35 validation_0-mlogloss:0.786555 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78623 [19] validation_0-merror:0.4 validation_0-mlogloss:0.782964 [20] validation_0-merror:0.4 validation_0-mlogloss:0.779454 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.777178 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77427 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.773705 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772351 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.772626 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.77252 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772489 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.773141 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.774967 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772351 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02446 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.987379 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.96125 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931356 [5] validation_0-merror:0.3 validation_0-mlogloss:0.912014 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89019 [7] validation_0-merror:0.35 validation_0-mlogloss:0.875426 [8] validation_0-merror:0.3 validation_0-mlogloss:0.855844 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84921 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838077 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829219 [12] validation_0-merror:0.3 validation_0-mlogloss:0.821687 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81889 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.806163 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.807392 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.799726 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.789041 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.789196 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.787729 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.779216 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.771337 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.763381 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.753367 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.746009 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.743678 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.740053 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.738451 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.736105 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.734778 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.736112 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.738612 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.739428 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.736899 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.73651 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.734778 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03543 [2] validation_0-merror:0.45 validation_0-mlogloss:1.00486 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971678 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950825 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930993 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913047 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.896093 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.877514 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855356 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845807 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833364 [12] validation_0-merror:0.3 validation_0-mlogloss:0.821296 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.808339 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79797 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790731 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779156 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770651 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766511 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765042 [20] validation_0-merror:0.3 validation_0-mlogloss:0.755903 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750606 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746658 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.741647 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.733487 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.732461 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729755 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72766 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.72412 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.719593 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717424 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.714054 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71332 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710467 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.712538 [35] validation_0-merror:0.3 validation_0-mlogloss:0.713081 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.71224 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.712652 [38] validation_0-merror:0.3 validation_0-mlogloss:0.712806 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710467 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02762 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.990376 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962612 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931708 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.912237 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.890081 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869296 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849766 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831127 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814753 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804894 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795519 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786785 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.783777 [15] validation_0-merror:0.35 validation_0-mlogloss:0.776407 [16] validation_0-merror:0.35 validation_0-mlogloss:0.772565 [17] validation_0-merror:0.35 validation_0-mlogloss:0.76254 [18] validation_0-merror:0.35 validation_0-mlogloss:0.761305 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.755441 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751786 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.74749 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.748902 [23] validation_0-merror:0.4 validation_0-mlogloss:0.749959 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.751393 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749865 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.748796 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.74749 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02568 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.99034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971349 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949894 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92728 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904369 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887618 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867669 [9] validation_0-merror:0.3 validation_0-mlogloss:0.8532 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834051 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823475 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813066 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800411 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790006 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789099 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781171 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771841 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765009 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.760458 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757553 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750266 [22] validation_0-merror:0.35 validation_0-mlogloss:0.750534 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742862 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740979 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743882 [26] validation_0-merror:0.35 validation_0-mlogloss:0.743418 [27] validation_0-merror:0.35 validation_0-mlogloss:0.740331 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.735655 [29] validation_0-merror:0.35 validation_0-mlogloss:0.731161 [30] validation_0-merror:0.35 validation_0-mlogloss:0.726934 [31] validation_0-merror:0.35 validation_0-mlogloss:0.724888 [32] validation_0-merror:0.35 validation_0-mlogloss:0.722447 [33] validation_0-merror:0.35 validation_0-mlogloss:0.723479 [34] validation_0-merror:0.35 validation_0-mlogloss:0.721746 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.725513 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.726771 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.725536 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.724159 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.725855 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.721746 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05134 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02194 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993771 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958572 [4] validation_0-merror:0.35 validation_0-mlogloss:0.934251 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911072 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895528 [7] validation_0-merror:0.35 validation_0-mlogloss:0.877699 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861719 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844993 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.834129 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818759 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.809465 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803086 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791809 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.7808 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773165 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765097 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762139 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76201 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754906 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749423 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737634 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.735779 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731872 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727519 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722721 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722812 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724575 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72256 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719703 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713337 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.708253 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706746 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705458 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700653 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.699863 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696726 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697884 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694816 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.694177 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.689494 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.689871 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.689408 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.689525 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689958 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.691093 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.689398 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.688321 [49] validation_0-merror:0.3 validation_0-mlogloss:0.6879 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.687405 [51] validation_0-merror:0.3 validation_0-mlogloss:0.688958 [52] validation_0-merror:0.3 validation_0-mlogloss:0.687435 [53] validation_0-merror:0.3 validation_0-mlogloss:0.687966 [54] validation_0-merror:0.3 validation_0-mlogloss:0.687591 [55] validation_0-merror:0.3 validation_0-mlogloss:0.685629 [56] validation_0-merror:0.3 validation_0-mlogloss:0.685979 [57] validation_0-merror:0.3 validation_0-mlogloss:0.685144 [58] validation_0-merror:0.3 validation_0-mlogloss:0.687704 [59] validation_0-merror:0.3 validation_0-mlogloss:0.686896 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.68639 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.687718 [62] validation_0-merror:0.3 validation_0-mlogloss:0.689341 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.685144 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01781 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987284 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955706 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92751 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907078 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891476 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.869178 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851072 [9] validation_0-merror:0.35 validation_0-mlogloss:0.833987 [10] validation_0-merror:0.35 validation_0-mlogloss:0.821761 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814867 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804031 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797823 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79352 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788712 [16] validation_0-merror:0.35 validation_0-mlogloss:0.784896 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.778727 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772814 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76714 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.758092 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754626 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751382 [23] validation_0-merror:0.35 validation_0-mlogloss:0.750634 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750641 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.747251 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.741839 [27] validation_0-merror:0.35 validation_0-mlogloss:0.740475 [28] validation_0-merror:0.35 validation_0-mlogloss:0.740498 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.741524 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.742396 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.740796 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.74067 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.740475 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995204 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971245 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950224 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930089 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.909324 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.896002 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.875568 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.863603 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849975 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.839903 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.828241 [13] validation_0-merror:0.25 validation_0-mlogloss:0.818827 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.809612 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.802234 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.796382 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.787242 [18] validation_0-merror:0.3 validation_0-mlogloss:0.782875 [19] validation_0-merror:0.3 validation_0-mlogloss:0.777306 [20] validation_0-merror:0.3 validation_0-mlogloss:0.769004 [21] validation_0-merror:0.3 validation_0-mlogloss:0.768047 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76101 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.752105 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.752377 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755104 [26] validation_0-merror:0.3 validation_0-mlogloss:0.748402 [27] validation_0-merror:0.3 validation_0-mlogloss:0.745071 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740037 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740822 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.741379 [31] validation_0-merror:0.3 validation_0-mlogloss:0.735015 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.732896 [33] validation_0-merror:0.3 validation_0-mlogloss:0.732785 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728556 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73262 [36] validation_0-merror:0.3 validation_0-mlogloss:0.729133 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.727775 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.727322 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.729346 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.725489 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.723352 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.721845 [43] validation_0-merror:0.3 validation_0-mlogloss:0.721765 [44] validation_0-merror:0.3 validation_0-mlogloss:0.727026 [45] validation_0-merror:0.3 validation_0-mlogloss:0.724042 [46] validation_0-merror:0.3 validation_0-mlogloss:0.724321 [47] validation_0-merror:0.3 validation_0-mlogloss:0.724392 [48] validation_0-merror:0.3 validation_0-mlogloss:0.724883 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.721765 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05772 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02265 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988341 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958183 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93261 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909701 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89043 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871946 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854046 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840363 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82984 [11] validation_0-merror:0.3 validation_0-mlogloss:0.811151 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797601 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.785211 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.776991 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769737 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763346 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756792 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749826 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743098 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.739622 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.734633 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729099 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722216 [24] validation_0-merror:0.3 validation_0-mlogloss:0.716672 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.71054 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710465 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708842 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708901 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707601 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706856 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703199 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703789 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701434 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702946 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701902 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701155 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700184 [38] validation_0-merror:0.3 validation_0-mlogloss:0.699592 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699397 [40] validation_0-merror:0.3 validation_0-mlogloss:0.701404 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.701991 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.699959 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.701142 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.702618 Stopping. Best iteration: [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699397 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01709 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978872 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95261 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925153 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901678 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882955 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864431 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851057 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842638 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826956 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812705 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805524 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.7998 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791834 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78492 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.782278 [17] validation_0-merror:0.4 validation_0-mlogloss:0.780632 [18] validation_0-merror:0.4 validation_0-mlogloss:0.779152 [19] validation_0-merror:0.4 validation_0-mlogloss:0.774245 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772428 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770947 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.770195 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.767318 [24] validation_0-merror:0.4 validation_0-mlogloss:0.763038 [25] validation_0-merror:0.4 validation_0-mlogloss:0.763485 [26] validation_0-merror:0.4 validation_0-mlogloss:0.7645 [27] validation_0-merror:0.4 validation_0-mlogloss:0.767136 [28] validation_0-merror:0.4 validation_0-mlogloss:0.765515 [29] validation_0-merror:0.4 validation_0-mlogloss:0.765734 Stopping. Best iteration: [24] validation_0-merror:0.4 validation_0-mlogloss:0.763038 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06247 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989609 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.958004 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928874 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907575 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.884845 [7] validation_0-merror:0.3 validation_0-mlogloss:0.869589 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850587 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.841501 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.833367 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.824858 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819521 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.811387 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798528 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.792427 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783788 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776575 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775126 [19] validation_0-merror:0.3 validation_0-mlogloss:0.766682 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765214 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756355 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754618 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.74942 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.743869 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.740712 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737418 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.737068 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.733503 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.730594 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.731337 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.73157 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.728468 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.723164 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.72022 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72047 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.719562 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.718701 [38] validation_0-merror:0.25 validation_0-mlogloss:0.716423 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.715525 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.714199 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.715835 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.717086 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.716706 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.718873 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.719303 Stopping. Best iteration: [40] validation_0-merror:0.266667 validation_0-mlogloss:0.714199 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06239 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02154 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991023 [3] validation_0-merror:0.35 validation_0-mlogloss:0.955536 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93321 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905411 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88427 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865822 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847153 [9] validation_0-merror:0.3 validation_0-mlogloss:0.83193 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822697 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812067 [12] validation_0-merror:0.3 validation_0-mlogloss:0.801609 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790821 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.781446 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.774035 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763931 [17] validation_0-merror:0.3 validation_0-mlogloss:0.759809 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756687 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754155 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743685 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737876 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729789 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722355 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.716245 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710666 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707238 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709526 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704225 [29] validation_0-merror:0.3 validation_0-mlogloss:0.697406 [30] validation_0-merror:0.3 validation_0-mlogloss:0.691881 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689189 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.686193 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680032 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683222 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.68672 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687826 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.686328 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685563 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.680032 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05741 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02517 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.98987 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.963179 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930974 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909311 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885379 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871344 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849903 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835694 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.825575 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814916 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809531 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797675 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787238 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.775338 [16] validation_0-merror:0.35 validation_0-mlogloss:0.772205 [17] validation_0-merror:0.35 validation_0-mlogloss:0.762978 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764233 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.764931 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.764721 [21] validation_0-merror:0.35 validation_0-mlogloss:0.764223 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766237 Stopping. Best iteration: [17] validation_0-merror:0.35 validation_0-mlogloss:0.762978 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05923 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.0196 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982996 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959559 [4] validation_0-merror:0.3 validation_0-mlogloss:0.930219 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914866 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.894246 [7] validation_0-merror:0.35 validation_0-mlogloss:0.881927 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863201 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.854462 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842796 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836886 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.822741 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.812376 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802346 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804872 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795448 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794138 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787826 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.786503 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.793952 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.79685 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.796903 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.791604 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.789437 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.786503 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04217 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00369 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.972379 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.935109 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.915939 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.886424 [6] validation_0-merror:0.3 validation_0-mlogloss:0.864038 [7] validation_0-merror:0.3 validation_0-mlogloss:0.842308 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.826306 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.812896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.802311 [11] validation_0-merror:0.3 validation_0-mlogloss:0.790715 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.777184 [13] validation_0-merror:0.3 validation_0-mlogloss:0.76463 [14] validation_0-merror:0.3 validation_0-mlogloss:0.75682 [15] validation_0-merror:0.3 validation_0-mlogloss:0.746649 [16] validation_0-merror:0.3 validation_0-mlogloss:0.73873 [17] validation_0-merror:0.3 validation_0-mlogloss:0.73287 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.733712 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.732755 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.727532 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.725081 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72026 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713953 [24] validation_0-merror:0.3 validation_0-mlogloss:0.7071 [25] validation_0-merror:0.3 validation_0-mlogloss:0.707204 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703448 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707233 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705888 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706846 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702253 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697973 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.694204 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.693055 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.692703 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691892 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691672 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.693357 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.693671 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.697887 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706978 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705452 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691672 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05448 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00689 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975242 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940733 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907829 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.877887 [6] validation_0-merror:0.3 validation_0-mlogloss:0.858186 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.842016 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8207 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.809746 [10] validation_0-merror:0.3 validation_0-mlogloss:0.80332 [11] validation_0-merror:0.35 validation_0-mlogloss:0.795158 [12] validation_0-merror:0.35 validation_0-mlogloss:0.785845 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.781025 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.773575 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.76873 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.767505 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770731 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768092 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762629 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759427 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75848 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756627 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757146 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763138 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.758772 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.757661 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.761398 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756627 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01109 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985827 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963718 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935148 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924093 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.912372 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902663 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884286 [9] validation_0-merror:0.35 validation_0-mlogloss:0.873965 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.867114 [11] validation_0-merror:0.4 validation_0-mlogloss:0.85588 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.841636 [13] validation_0-merror:0.35 validation_0-mlogloss:0.832085 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.822007 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.821629 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822699 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.817534 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.812899 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807921 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.812048 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.814446 [22] validation_0-merror:0.35 validation_0-mlogloss:0.811384 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.811646 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.80746 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.810822 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.808837 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.811622 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.809183 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.803837 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.803692 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.808665 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.805288 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.808188 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.804429 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.813298 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.803692 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00894 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.970751 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.937123 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.907347 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.879639 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.858372 [7] validation_0-merror:0.3 validation_0-mlogloss:0.838282 [8] validation_0-merror:0.3 validation_0-mlogloss:0.824368 [9] validation_0-merror:0.3 validation_0-mlogloss:0.812484 [10] validation_0-merror:0.3 validation_0-mlogloss:0.801619 [11] validation_0-merror:0.3 validation_0-mlogloss:0.783708 [12] validation_0-merror:0.25 validation_0-mlogloss:0.773546 [13] validation_0-merror:0.25 validation_0-mlogloss:0.759748 [14] validation_0-merror:0.25 validation_0-mlogloss:0.752048 [15] validation_0-merror:0.216667 validation_0-mlogloss:0.74233 [16] validation_0-merror:0.233333 validation_0-mlogloss:0.735178 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.727743 [18] validation_0-merror:0.25 validation_0-mlogloss:0.722513 [19] validation_0-merror:0.25 validation_0-mlogloss:0.714461 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.708508 [21] validation_0-merror:0.216667 validation_0-mlogloss:0.704097 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.704736 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.702763 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.699043 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.69481 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.696713 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.695978 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.693207 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.691531 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.689017 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.687829 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.685854 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.685952 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.686218 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.687532 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.688226 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.69006 Stopping. Best iteration: [32] validation_0-merror:0.233333 validation_0-mlogloss:0.685854 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05618 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02546 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988831 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959409 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930578 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907103 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893345 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87705 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.861544 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856581 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84984 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841415 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835053 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.830756 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.825071 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.820567 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812829 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.805651 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.808657 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.803429 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.799817 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.800756 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.804784 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.807637 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.806914 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.811591 Stopping. Best iteration: [20] validation_0-merror:0.316667 validation_0-mlogloss:0.799817 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06218 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01953 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.981373 [3] validation_0-merror:0.35 validation_0-mlogloss:0.956327 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930914 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902804 [6] validation_0-merror:0.35 validation_0-mlogloss:0.879323 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866774 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854435 [9] validation_0-merror:0.35 validation_0-mlogloss:0.844945 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837056 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825994 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823888 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.818348 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.818175 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.811652 [17] validation_0-merror:0.35 validation_0-mlogloss:0.80622 [18] validation_0-merror:0.35 validation_0-mlogloss:0.807697 [19] validation_0-merror:0.35 validation_0-mlogloss:0.807742 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.807697 [21] validation_0-merror:0.35 validation_0-mlogloss:0.805953 [22] validation_0-merror:0.35 validation_0-mlogloss:0.810504 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.807972 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.805597 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.804545 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.806847 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.809115 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.80413 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.805676 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.810336 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.815432 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.821182 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.821849 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.80413 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01437 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.984003 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.949757 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928702 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903892 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886344 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863742 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.843044 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829561 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821286 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810315 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801689 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79023 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.7766 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.76801 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760044 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75169 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749541 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747945 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.738773 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735675 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727286 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.720033 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.711947 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706526 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.699125 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702102 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.702145 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695392 [30] validation_0-merror:0.3 validation_0-mlogloss:0.691298 [31] validation_0-merror:0.3 validation_0-mlogloss:0.686477 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683424 [33] validation_0-merror:0.3 validation_0-mlogloss:0.683295 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.683641 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.682422 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.68155 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675818 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.678283 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677502 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.679726 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.680617 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.674277 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.670716 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672264 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.673752 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.675376 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.670626 [48] validation_0-merror:0.3 validation_0-mlogloss:0.673084 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.677902 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675112 [51] validation_0-merror:0.3 validation_0-mlogloss:0.678341 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676579 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.670626 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05784 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0236 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990023 [3] validation_0-merror:0.35 validation_0-mlogloss:0.964833 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931064 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.907284 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.887644 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.873717 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854854 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835482 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822222 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812793 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801008 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794907 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.790589 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782163 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.781246 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776598 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775853 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774433 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773998 [21] validation_0-merror:0.35 validation_0-mlogloss:0.770969 [22] validation_0-merror:0.35 validation_0-mlogloss:0.775552 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774222 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773962 [25] validation_0-merror:0.35 validation_0-mlogloss:0.77194 [26] validation_0-merror:0.35 validation_0-mlogloss:0.770987 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.770969 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0537 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01343 [2] validation_0-merror:0.25 validation_0-mlogloss:0.97765 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.962001 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.933861 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917229 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897432 [7] validation_0-merror:0.35 validation_0-mlogloss:0.884138 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859526 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849105 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836296 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827298 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.818307 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805528 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795671 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796984 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786717 [17] validation_0-merror:0.3 validation_0-mlogloss:0.778643 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77125 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76527 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76609 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765179 [22] validation_0-merror:0.3 validation_0-mlogloss:0.764471 [23] validation_0-merror:0.3 validation_0-mlogloss:0.757691 [24] validation_0-merror:0.3 validation_0-mlogloss:0.75333 [25] validation_0-merror:0.3 validation_0-mlogloss:0.757732 [26] validation_0-merror:0.3 validation_0-mlogloss:0.757251 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.756123 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75204 [29] validation_0-merror:0.3 validation_0-mlogloss:0.75148 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.750693 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.747991 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.746322 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.748795 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.749319 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.753674 [36] validation_0-merror:0.3 validation_0-mlogloss:0.75059 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748414 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.746322 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0089 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977517 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.942474 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922644 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896051 [6] validation_0-merror:0.3 validation_0-mlogloss:0.877833 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855919 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.837192 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820633 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.806731 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.797957 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.786867 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.77688 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.768284 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.759816 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.7504 [17] validation_0-merror:0.3 validation_0-mlogloss:0.742334 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.739446 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.73958 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.735301 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.731861 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725923 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.724836 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722794 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718696 [26] validation_0-merror:0.3 validation_0-mlogloss:0.714709 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717147 [28] validation_0-merror:0.3 validation_0-mlogloss:0.71819 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717146 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710489 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707239 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702244 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701284 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703184 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702053 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703423 [37] validation_0-merror:0.3 validation_0-mlogloss:0.703097 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704691 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.701284 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00934 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981929 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94936 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918219 [5] validation_0-merror:0.35 validation_0-mlogloss:0.896607 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877526 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.858715 [8] validation_0-merror:0.35 validation_0-mlogloss:0.838645 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.823113 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.814522 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807501 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799432 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790453 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784993 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777732 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774709 [17] validation_0-merror:0.35 validation_0-mlogloss:0.769689 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769348 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763073 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75715 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756843 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75392 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755059 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758904 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757333 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755722 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754566 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.75392 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01273 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983517 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961825 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927605 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907655 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895791 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881895 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865897 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857898 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850068 [11] validation_0-merror:0.35 validation_0-mlogloss:0.835986 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824014 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814907 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803208 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804812 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800558 [17] validation_0-merror:0.3 validation_0-mlogloss:0.792749 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790447 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786976 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788044 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.791094 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.789 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.785405 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779163 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.779329 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.776934 [27] validation_0-merror:0.35 validation_0-mlogloss:0.777514 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.77669 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.773009 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.773344 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773039 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771367 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.775798 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.775241 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.783407 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.787039 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.786235 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771367 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05323 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01397 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975667 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.945299 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.917544 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894625 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.872242 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856263 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842332 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83125 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81717 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.801208 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.787822 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.776105 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.765537 [15] validation_0-merror:0.3 validation_0-mlogloss:0.752425 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.7448 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.74037 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.738502 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.735765 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.731434 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.723345 [22] validation_0-merror:0.25 validation_0-mlogloss:0.727319 [23] validation_0-merror:0.25 validation_0-mlogloss:0.72417 [24] validation_0-merror:0.25 validation_0-mlogloss:0.719982 [25] validation_0-merror:0.25 validation_0-mlogloss:0.719165 [26] validation_0-merror:0.25 validation_0-mlogloss:0.715481 [27] validation_0-merror:0.25 validation_0-mlogloss:0.715178 [28] validation_0-merror:0.25 validation_0-mlogloss:0.716404 [29] validation_0-merror:0.25 validation_0-mlogloss:0.712869 [30] validation_0-merror:0.25 validation_0-mlogloss:0.712689 [31] validation_0-merror:0.25 validation_0-mlogloss:0.71656 [32] validation_0-merror:0.25 validation_0-mlogloss:0.714886 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.714321 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.71118 [35] validation_0-merror:0.25 validation_0-mlogloss:0.712303 [36] validation_0-merror:0.25 validation_0-mlogloss:0.7119 [37] validation_0-merror:0.25 validation_0-mlogloss:0.710697 [38] validation_0-merror:0.25 validation_0-mlogloss:0.712258 [39] validation_0-merror:0.25 validation_0-mlogloss:0.710627 [40] validation_0-merror:0.25 validation_0-mlogloss:0.7122 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.714388 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.715395 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.717487 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.717576 Stopping. Best iteration: [39] validation_0-merror:0.25 validation_0-mlogloss:0.710627 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05419 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0217 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983807 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957697 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927131 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902963 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881787 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863488 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846413 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.832829 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820861 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807204 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799511 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791642 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786016 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787543 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784829 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780246 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.781539 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781772 [20] validation_0-merror:0.35 validation_0-mlogloss:0.782887 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.781191 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.783566 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780246 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02245 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984517 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962254 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931818 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906961 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886461 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869352 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857557 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851153 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.846305 [11] validation_0-merror:0.35 validation_0-mlogloss:0.835259 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826658 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820499 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811473 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.808717 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.798828 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79418 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.789167 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.785315 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.785323 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783055 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.782384 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.781229 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.774213 [25] validation_0-merror:0.35 validation_0-mlogloss:0.768875 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769588 [27] validation_0-merror:0.35 validation_0-mlogloss:0.77017 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769994 [29] validation_0-merror:0.35 validation_0-mlogloss:0.771524 [30] validation_0-merror:0.35 validation_0-mlogloss:0.774163 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.768875 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02203 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989209 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957636 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934998 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.908563 [6] validation_0-merror:0.3 validation_0-mlogloss:0.892287 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872448 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857025 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843319 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834914 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821791 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810207 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805498 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797963 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788452 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778181 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767194 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766225 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763451 [20] validation_0-merror:0.3 validation_0-mlogloss:0.754527 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750947 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746172 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732582 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726355 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727171 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725087 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72725 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727656 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721447 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.717766 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.713498 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710706 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712155 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.713113 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.714209 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.711398 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.713064 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710706 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987014 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962683 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932443 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909573 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885653 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86788 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849408 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83071 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815838 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807412 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80135 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794805 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.7899 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783104 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779107 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.774991 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776915 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77473 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769765 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768146 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768995 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770094 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.770145 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769237 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.768395 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768146 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06196 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02022 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985642 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965685 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940533 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917116 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897309 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883395 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863444 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851172 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834207 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824249 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813209 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.79973 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78833 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787975 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779167 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768128 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765151 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75797 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.749982 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.749111 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.746302 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.738668 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734788 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.736277 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.737244 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735341 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7315 [29] validation_0-merror:0.3 validation_0-mlogloss:0.728566 [30] validation_0-merror:0.3 validation_0-mlogloss:0.725408 [31] validation_0-merror:0.3 validation_0-mlogloss:0.721664 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717653 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720945 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721224 [35] validation_0-merror:0.3 validation_0-mlogloss:0.72764 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726722 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.723588 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.717653 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04762 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00976 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.981357 [3] validation_0-merror:0.3 validation_0-mlogloss:0.944525 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925822 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.901855 [6] validation_0-merror:0.3 validation_0-mlogloss:0.884643 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863072 [8] validation_0-merror:0.3 validation_0-mlogloss:0.847246 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833642 [10] validation_0-merror:0.3 validation_0-mlogloss:0.824022 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812995 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801156 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791875 [14] validation_0-merror:0.3 validation_0-mlogloss:0.784003 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775102 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763643 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.756721 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75235 [19] validation_0-merror:0.35 validation_0-mlogloss:0.753718 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746662 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743979 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738581 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732526 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728467 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724407 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719248 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722079 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.720283 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.722001 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.715214 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708779 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705294 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703897 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704053 [35] validation_0-merror:0.3 validation_0-mlogloss:0.701613 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69806 [37] validation_0-merror:0.3 validation_0-mlogloss:0.697445 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699078 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.698283 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.699516 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.699281 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.698236 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.697445 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00621 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978041 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948478 [4] validation_0-merror:0.35 validation_0-mlogloss:0.917216 [5] validation_0-merror:0.35 validation_0-mlogloss:0.891457 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.87536 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.837001 [9] validation_0-merror:0.35 validation_0-mlogloss:0.821357 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.813599 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807946 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796825 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792054 [14] validation_0-merror:0.35 validation_0-mlogloss:0.789142 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783668 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783002 [17] validation_0-merror:0.35 validation_0-mlogloss:0.782311 [18] validation_0-merror:0.35 validation_0-mlogloss:0.779697 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775119 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769374 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768788 [22] validation_0-merror:0.35 validation_0-mlogloss:0.768137 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768304 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76914 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767091 [26] validation_0-merror:0.35 validation_0-mlogloss:0.76577 [27] validation_0-merror:0.35 validation_0-mlogloss:0.763989 [28] validation_0-merror:0.35 validation_0-mlogloss:0.761097 [29] validation_0-merror:0.35 validation_0-mlogloss:0.758918 [30] validation_0-merror:0.35 validation_0-mlogloss:0.761786 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767713 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.764902 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.766785 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.767087 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.758918 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01144 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983868 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963917 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916948 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.895212 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88141 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860886 [9] validation_0-merror:0.3 validation_0-mlogloss:0.850973 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.842645 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.828396 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81577 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808464 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79845 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797835 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794311 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.786463 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785629 [19] validation_0-merror:0.3 validation_0-mlogloss:0.779959 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775743 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.776719 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771148 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.767578 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763349 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.763728 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756855 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756316 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752088 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751239 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.752635 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.747332 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.746277 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749566 [34] validation_0-merror:0.3 validation_0-mlogloss:0.745735 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.751957 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.752279 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.75052 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.751861 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.753979 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.745735 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05208 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01394 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976189 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94358 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.917443 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890546 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.868714 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.849763 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.832981 [9] validation_0-merror:0.3 validation_0-mlogloss:0.822221 [10] validation_0-merror:0.3 validation_0-mlogloss:0.814029 [11] validation_0-merror:0.3 validation_0-mlogloss:0.797008 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.785381 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.771248 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.760587 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.752977 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.742938 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.739445 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.732541 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.726185 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.72258 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.719679 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.717373 [23] validation_0-merror:0.3 validation_0-mlogloss:0.711241 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.706396 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.702611 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.698479 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.695888 [28] validation_0-merror:0.25 validation_0-mlogloss:0.69131 [29] validation_0-merror:0.25 validation_0-mlogloss:0.686999 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.683482 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.684107 [32] validation_0-merror:0.25 validation_0-mlogloss:0.682921 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.683928 [34] validation_0-merror:0.25 validation_0-mlogloss:0.685735 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.687529 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.684538 [37] validation_0-merror:0.25 validation_0-mlogloss:0.686435 Stopping. Best iteration: [32] validation_0-merror:0.25 validation_0-mlogloss:0.682921 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05416 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01998 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981113 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.955086 [4] validation_0-merror:0.4 validation_0-mlogloss:0.928794 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903966 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.88457 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866013 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854158 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844752 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831143 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816221 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805156 [13] validation_0-merror:0.35 validation_0-mlogloss:0.800607 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797417 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788136 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785045 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781835 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779711 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.774766 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.768433 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767218 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.767604 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765741 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764921 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765685 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.762212 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.766242 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.768136 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.770902 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770685 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.769527 Stopping. Best iteration: [26] validation_0-merror:0.333333 validation_0-mlogloss:0.762212 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06406 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02655 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991475 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967981 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.939127 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912703 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892669 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871401 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850985 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.847769 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833517 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81945 [12] validation_0-merror:0.3 validation_0-mlogloss:0.806698 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797319 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78377 [15] validation_0-merror:0.3 validation_0-mlogloss:0.776564 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763515 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758499 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.755816 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.75322 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.75136 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749794 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.746705 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.740821 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.739944 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.737361 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737512 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.737938 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.737135 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73805 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.738702 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.73883 [32] validation_0-merror:0.3 validation_0-mlogloss:0.739225 [33] validation_0-merror:0.3 validation_0-mlogloss:0.737539 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.737135 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03552 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00184 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970401 [4] validation_0-merror:0.4 validation_0-mlogloss:0.948268 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.9228 [6] validation_0-merror:0.4 validation_0-mlogloss:0.906488 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888842 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873094 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853366 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842736 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828871 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817591 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809833 [14] validation_0-merror:0.35 validation_0-mlogloss:0.799121 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790311 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780682 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771248 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768192 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76497 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754374 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749426 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745389 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744181 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736389 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.739148 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737076 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73717 [28] validation_0-merror:0.3 validation_0-mlogloss:0.738237 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73198 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730769 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72813 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726322 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.723572 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.725373 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729868 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.73082 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.729007 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727917 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.723572 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02665 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.988637 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962568 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927061 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905888 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883717 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864517 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846981 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.82983 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813718 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805176 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797951 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789702 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78453 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777803 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.77408 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.767018 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.767616 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.76295 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.757779 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752174 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75357 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756443 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760493 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.75881 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756136 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752174 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989155 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940658 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920882 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902973 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887919 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871007 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858915 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842588 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83324 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815115 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800201 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78886 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790262 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782648 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773338 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768705 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76332 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757679 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752713 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750799 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744164 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741894 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742215 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.743843 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743231 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742568 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737043 [30] validation_0-merror:0.35 validation_0-mlogloss:0.736635 [31] validation_0-merror:0.35 validation_0-mlogloss:0.73055 [32] validation_0-merror:0.35 validation_0-mlogloss:0.728317 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.731475 [34] validation_0-merror:0.35 validation_0-mlogloss:0.733144 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740605 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738872 [37] validation_0-merror:0.35 validation_0-mlogloss:0.735983 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.728317 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01286 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986738 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950475 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927721 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901805 [6] validation_0-merror:0.3 validation_0-mlogloss:0.880818 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.864344 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851932 [9] validation_0-merror:0.3 validation_0-mlogloss:0.835919 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823139 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.811959 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.800229 [13] validation_0-merror:0.3 validation_0-mlogloss:0.790949 [14] validation_0-merror:0.3 validation_0-mlogloss:0.783059 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774944 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769069 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760707 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759395 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756007 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749368 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74502 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739188 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734879 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730703 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726102 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719339 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721491 [28] validation_0-merror:0.3 validation_0-mlogloss:0.724023 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722245 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.716781 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.71292 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.710259 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.707318 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705663 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703931 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.700895 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700667 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702811 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.693593 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.69461 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691487 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.691903 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.692288 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.691816 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693308 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.694991 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691487 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01344 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984017 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95151 [4] validation_0-merror:0.3 validation_0-mlogloss:0.920504 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.896659 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88113 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859655 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.841209 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826969 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818599 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.814141 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803253 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798855 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797627 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.78701 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784241 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.781123 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779557 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773523 [20] validation_0-merror:0.35 validation_0-mlogloss:0.762689 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762781 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760587 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762965 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764596 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.765836 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764376 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.761394 Stopping. Best iteration: [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760587 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01509 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985204 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962419 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942212 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917736 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.896292 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882379 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.862125 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85057 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.838986 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82573 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814443 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805078 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794426 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789375 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785277 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77899 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779498 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77504 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.766553 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.76737 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.764304 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.756435 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.755625 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.753527 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.746658 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.744514 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740097 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.735236 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.735438 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730535 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.72876 [33] validation_0-merror:0.3 validation_0-mlogloss:0.732598 [34] validation_0-merror:0.3 validation_0-mlogloss:0.726519 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.731009 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728669 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727304 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.727088 [39] validation_0-merror:0.3 validation_0-mlogloss:0.730339 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.726519 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05835 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01985 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.985876 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953762 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927929 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902632 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882693 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864638 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.845566 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.833961 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82341 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805422 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.790619 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.777299 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.769655 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.762955 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.751431 [17] validation_0-merror:0.3 validation_0-mlogloss:0.748033 [18] validation_0-merror:0.3 validation_0-mlogloss:0.743713 [19] validation_0-merror:0.3 validation_0-mlogloss:0.735958 [20] validation_0-merror:0.3 validation_0-mlogloss:0.730969 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728289 [22] validation_0-merror:0.3 validation_0-mlogloss:0.724683 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722074 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.717927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714328 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.711499 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.71127 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709189 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707242 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704539 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703274 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704286 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70526 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708773 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709101 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.711154 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703274 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05229 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01685 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979563 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953834 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929613 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.907021 [6] validation_0-merror:0.4 validation_0-mlogloss:0.887736 [7] validation_0-merror:0.4 validation_0-mlogloss:0.872012 [8] validation_0-merror:0.4 validation_0-mlogloss:0.85864 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849793 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834372 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822681 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.810205 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.803431 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797897 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794912 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.792674 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.787528 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787536 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.786944 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782856 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781321 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.778964 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.778152 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773734 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773531 [26] validation_0-merror:0.35 validation_0-mlogloss:0.775049 [27] validation_0-merror:0.35 validation_0-mlogloss:0.778392 [28] validation_0-merror:0.35 validation_0-mlogloss:0.780178 [29] validation_0-merror:0.35 validation_0-mlogloss:0.781825 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.787531 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.773531 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02529 [2] validation_0-merror:0.25 validation_0-mlogloss:0.986387 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.961231 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932211 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912856 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87618 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858353 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.8524 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839741 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.831654 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822926 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817814 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.806527 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.806872 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.798465 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.791441 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.791846 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.789854 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.788955 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.783207 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.779423 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.770802 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.765369 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.759603 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.758109 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.756214 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.752211 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.749798 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.75019 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.753022 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.750212 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.7488 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.746764 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.745824 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.744441 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.742333 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.743605 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.744889 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.744047 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.743256 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.747257 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.742333 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03543 [2] validation_0-merror:0.45 validation_0-mlogloss:1.00486 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972265 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95177 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931339 [6] validation_0-merror:0.4 validation_0-mlogloss:0.913321 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.896467 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877948 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.862862 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853273 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840955 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828628 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817517 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807614 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79865 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786975 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778365 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77458 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773115 [20] validation_0-merror:0.3 validation_0-mlogloss:0.764297 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759272 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754451 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.746436 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738521 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736998 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.734396 [27] validation_0-merror:0.3 validation_0-mlogloss:0.732127 [28] validation_0-merror:0.3 validation_0-mlogloss:0.726791 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722527 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.720212 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716296 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715405 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7127 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.714792 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715349 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.714228 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.713621 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716885 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7127 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02762 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.990376 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963564 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931512 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912125 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890058 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868858 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849437 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831181 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814899 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804573 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796381 [13] validation_0-merror:0.35 validation_0-mlogloss:0.78862 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.785969 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77883 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775035 [17] validation_0-merror:0.35 validation_0-mlogloss:0.765828 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764598 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758833 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752875 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747057 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747253 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.748242 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.749472 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.74801 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.747104 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.747057 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02568 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.99034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971349 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949894 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92728 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904369 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887618 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867669 [9] validation_0-merror:0.3 validation_0-mlogloss:0.8532 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834051 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823475 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812282 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799644 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789269 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787193 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779306 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770041 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763252 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758772 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756318 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749118 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.749396 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741771 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738588 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741502 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739665 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736606 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.734795 [29] validation_0-merror:0.35 validation_0-mlogloss:0.730167 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.727024 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.724901 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.722512 [33] validation_0-merror:0.35 validation_0-mlogloss:0.723175 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721581 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725374 [36] validation_0-merror:0.35 validation_0-mlogloss:0.726599 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.725377 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.723971 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.725655 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721581 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01932 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989122 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.953933 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929909 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904969 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887904 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871331 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.855122 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838414 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829345 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815466 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804308 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79831 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787355 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77777 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770104 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.760982 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758943 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759221 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754113 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.752094 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74095 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738917 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734709 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.730151 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728156 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728548 [28] validation_0-merror:0.3 validation_0-mlogloss:0.728465 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725918 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721457 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717479 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711213 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710673 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709443 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.705097 [36] validation_0-merror:0.3 validation_0-mlogloss:0.702158 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699914 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.703706 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699121 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.699722 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.69483 [42] validation_0-merror:0.3 validation_0-mlogloss:0.694643 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694079 [44] validation_0-merror:0.3 validation_0-mlogloss:0.693738 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.694572 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695193 [47] validation_0-merror:0.3 validation_0-mlogloss:0.692406 [48] validation_0-merror:0.3 validation_0-mlogloss:0.689097 [49] validation_0-merror:0.3 validation_0-mlogloss:0.689192 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68866 [51] validation_0-merror:0.3 validation_0-mlogloss:0.690053 [52] validation_0-merror:0.3 validation_0-mlogloss:0.688665 [53] validation_0-merror:0.3 validation_0-mlogloss:0.690079 [54] validation_0-merror:0.3 validation_0-mlogloss:0.685862 [55] validation_0-merror:0.3 validation_0-mlogloss:0.685061 [56] validation_0-merror:0.3 validation_0-mlogloss:0.688184 [57] validation_0-merror:0.3 validation_0-mlogloss:0.688798 [58] validation_0-merror:0.3 validation_0-mlogloss:0.691865 [59] validation_0-merror:0.3 validation_0-mlogloss:0.688725 [60] validation_0-merror:0.3 validation_0-mlogloss:0.6864 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.685061 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01778 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987977 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956837 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928688 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908506 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893058 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870909 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851743 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83467 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822972 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815916 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804682 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800548 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794995 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787987 [16] validation_0-merror:0.35 validation_0-mlogloss:0.784606 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.778483 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.774184 [19] validation_0-merror:0.4 validation_0-mlogloss:0.769704 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.760313 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756714 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75292 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.753856 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.754497 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.753419 [26] validation_0-merror:0.4 validation_0-mlogloss:0.751078 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.748838 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.748553 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749216 [30] validation_0-merror:0.4 validation_0-mlogloss:0.751644 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.749225 [32] validation_0-merror:0.4 validation_0-mlogloss:0.749197 [33] validation_0-merror:0.4 validation_0-mlogloss:0.749657 Stopping. Best iteration: [28] validation_0-merror:0.383333 validation_0-mlogloss:0.748553 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930535 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.911475 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898484 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.877445 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865537 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854265 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.843537 [12] validation_0-merror:0.25 validation_0-mlogloss:0.831839 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822412 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812767 [15] validation_0-merror:0.3 validation_0-mlogloss:0.806345 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.800511 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.791002 [18] validation_0-merror:0.3 validation_0-mlogloss:0.789112 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786039 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777389 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776935 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773418 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7664 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763648 [25] validation_0-merror:0.3 validation_0-mlogloss:0.765476 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761257 [27] validation_0-merror:0.3 validation_0-mlogloss:0.757886 [28] validation_0-merror:0.3 validation_0-mlogloss:0.752783 [29] validation_0-merror:0.3 validation_0-mlogloss:0.755034 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.756478 [31] validation_0-merror:0.3 validation_0-mlogloss:0.750365 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748578 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.750058 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.746827 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752633 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.748672 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.747319 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.747013 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.745748 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.74201 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.74094 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.738925 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738472 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.743186 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.740953 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.741045 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.740558 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.740137 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738472 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02053 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986066 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956459 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930381 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906534 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886777 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868906 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85028 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838155 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827914 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810113 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795893 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.782355 [14] validation_0-merror:0.35 validation_0-mlogloss:0.772658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.765152 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.754861 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.747775 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.742467 [19] validation_0-merror:0.3 validation_0-mlogloss:0.735961 [20] validation_0-merror:0.3 validation_0-mlogloss:0.730038 [21] validation_0-merror:0.3 validation_0-mlogloss:0.727896 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.725405 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721135 [24] validation_0-merror:0.3 validation_0-mlogloss:0.717063 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712835 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710868 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.710317 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708222 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707167 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705993 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.70542 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702987 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702811 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.701774 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.700438 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699276 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.699567 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.701733 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.70192 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.705175 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.706802 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699276 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952482 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925744 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.901384 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882181 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.868623 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.855757 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.845311 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830511 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.819042 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.814115 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.80693 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.798369 [15] validation_0-merror:0.4 validation_0-mlogloss:0.792371 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790924 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.791336 [18] validation_0-merror:0.4 validation_0-mlogloss:0.788762 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.788283 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.786332 [21] validation_0-merror:0.4 validation_0-mlogloss:0.783131 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.781625 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.779091 [24] validation_0-merror:0.4 validation_0-mlogloss:0.774432 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.773677 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.773582 [27] validation_0-merror:0.4 validation_0-mlogloss:0.774396 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.77357 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.774559 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.776947 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.775512 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.77387 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.773 [34] validation_0-merror:0.4 validation_0-mlogloss:0.771662 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.773522 [36] validation_0-merror:0.4 validation_0-mlogloss:0.777254 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.7796 [38] validation_0-merror:0.4 validation_0-mlogloss:0.779677 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.779405 Stopping. Best iteration: [34] validation_0-merror:0.4 validation_0-mlogloss:0.771662 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06247 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0261 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990544 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959803 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929789 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90906 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886568 [7] validation_0-merror:0.3 validation_0-mlogloss:0.870439 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852527 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84288 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834119 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.824894 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816153 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812193 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799368 [15] validation_0-merror:0.3 validation_0-mlogloss:0.793356 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784527 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777172 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774231 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770432 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770085 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765021 [22] validation_0-merror:0.3 validation_0-mlogloss:0.760369 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75553 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749938 [25] validation_0-merror:0.3 validation_0-mlogloss:0.749008 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.745405 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.743014 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.740091 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.736893 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.739417 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.741944 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.740087 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.734969 [34] validation_0-merror:0.3 validation_0-mlogloss:0.734765 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.738078 [36] validation_0-merror:0.3 validation_0-mlogloss:0.736889 [37] validation_0-merror:0.3 validation_0-mlogloss:0.735633 [38] validation_0-merror:0.3 validation_0-mlogloss:0.734091 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.732239 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.733421 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.730317 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.730955 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.731005 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731487 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.733475 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.734712 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.730317 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02141 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.990903 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954534 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930807 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90403 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883938 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865382 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.845081 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.82534 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817249 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804234 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.795804 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784766 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77715 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770437 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.759743 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.755248 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75491 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750208 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742926 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737647 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.730794 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725641 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72009 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.713781 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712227 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.715934 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709714 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703414 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697446 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694964 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697409 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697365 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700779 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704166 [36] validation_0-merror:0.3 validation_0-mlogloss:0.704424 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.694964 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05741 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02517 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.98987 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962401 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927969 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906389 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882384 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867255 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846037 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832516 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820569 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.812787 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805924 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.796081 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788968 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777606 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773313 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76538 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769399 [19] validation_0-merror:0.35 validation_0-mlogloss:0.769114 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769671 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768743 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77153 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76538 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05954 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.0199 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9836 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962194 [4] validation_0-merror:0.3 validation_0-mlogloss:0.931432 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916332 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895946 [7] validation_0-merror:0.35 validation_0-mlogloss:0.884166 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865492 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.854784 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842595 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.836226 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823281 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.812698 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802912 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803562 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.795343 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.789527 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782383 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779619 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.787098 [21] validation_0-merror:0.3 validation_0-mlogloss:0.790821 [22] validation_0-merror:0.3 validation_0-mlogloss:0.790287 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.785037 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.780404 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779619 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04005 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00347 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.972457 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.943102 [4] validation_0-merror:0.35 validation_0-mlogloss:0.924117 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.895347 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.87474 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.854317 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.838869 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.826127 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.813125 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803025 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.79082 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.777128 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.770337 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.763075 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.753384 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.749516 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.74622 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.745262 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.740394 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737767 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733553 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729188 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727758 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.729434 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.723443 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.726183 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725079 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727309 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.722115 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719428 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715333 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716797 [34] validation_0-merror:0.3 validation_0-mlogloss:0.718576 [35] validation_0-merror:0.3 validation_0-mlogloss:0.718885 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717546 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714593 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713536 [39] validation_0-merror:0.3 validation_0-mlogloss:0.714504 [40] validation_0-merror:0.3 validation_0-mlogloss:0.720728 [41] validation_0-merror:0.3 validation_0-mlogloss:0.723111 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.724817 [43] validation_0-merror:0.3 validation_0-mlogloss:0.725106 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.713536 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05543 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00758 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.979957 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945385 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914045 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.883823 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.863635 [7] validation_0-merror:0.35 validation_0-mlogloss:0.848419 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.825031 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.814297 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.808348 [11] validation_0-merror:0.35 validation_0-mlogloss:0.805987 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803418 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798814 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795144 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786277 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.784224 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786887 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785439 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780918 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774536 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.77524 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773174 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774222 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.777727 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.776329 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.775632 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.77541 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773174 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0109 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.98572 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935083 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915632 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89866 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.888757 [8] validation_0-merror:0.3 validation_0-mlogloss:0.871029 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.859041 [10] validation_0-merror:0.35 validation_0-mlogloss:0.852613 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.842381 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828539 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818974 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809357 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807365 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806207 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800033 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798149 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.79271 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.796363 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.797641 [22] validation_0-merror:0.35 validation_0-mlogloss:0.794284 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.7929 [24] validation_0-merror:0.35 validation_0-mlogloss:0.788758 [25] validation_0-merror:0.35 validation_0-mlogloss:0.792753 [26] validation_0-merror:0.35 validation_0-mlogloss:0.79143 [27] validation_0-merror:0.35 validation_0-mlogloss:0.795877 [28] validation_0-merror:0.35 validation_0-mlogloss:0.792713 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.789437 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.788758 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05008 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00927 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.973761 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94042 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.912032 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885154 [6] validation_0-merror:0.3 validation_0-mlogloss:0.865308 [7] validation_0-merror:0.3 validation_0-mlogloss:0.846839 [8] validation_0-merror:0.3 validation_0-mlogloss:0.831106 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821038 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.809402 [11] validation_0-merror:0.25 validation_0-mlogloss:0.791581 [12] validation_0-merror:0.25 validation_0-mlogloss:0.778765 [13] validation_0-merror:0.233333 validation_0-mlogloss:0.767007 [14] validation_0-merror:0.25 validation_0-mlogloss:0.760839 [15] validation_0-merror:0.25 validation_0-mlogloss:0.753474 [16] validation_0-merror:0.25 validation_0-mlogloss:0.746046 [17] validation_0-merror:0.25 validation_0-mlogloss:0.740366 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.736332 [19] validation_0-merror:0.25 validation_0-mlogloss:0.731286 [20] validation_0-merror:0.25 validation_0-mlogloss:0.72831 [21] validation_0-merror:0.25 validation_0-mlogloss:0.725745 [22] validation_0-merror:0.25 validation_0-mlogloss:0.72524 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.721411 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.717838 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.716829 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.715408 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.713087 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.713247 [29] validation_0-merror:0.25 validation_0-mlogloss:0.712348 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.714952 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.717727 [32] validation_0-merror:0.25 validation_0-mlogloss:0.717436 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.718234 [34] validation_0-merror:0.25 validation_0-mlogloss:0.716704 Stopping. Best iteration: [29] validation_0-merror:0.25 validation_0-mlogloss:0.712348 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02531 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989927 [3] validation_0-merror:0.35 validation_0-mlogloss:0.964709 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93661 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.908128 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88925 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872428 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.856285 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.850297 [10] validation_0-merror:0.3 validation_0-mlogloss:0.842013 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834352 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.828267 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825112 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.820192 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.814111 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.810068 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.803862 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.804961 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.804831 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.799619 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.80249 [22] validation_0-merror:0.3 validation_0-mlogloss:0.806715 [23] validation_0-merror:0.3 validation_0-mlogloss:0.809391 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.808841 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.810459 Stopping. Best iteration: [20] validation_0-merror:0.316667 validation_0-mlogloss:0.799619 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06122 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.982755 [3] validation_0-merror:0.35 validation_0-mlogloss:0.955069 [4] validation_0-merror:0.35 validation_0-mlogloss:0.929895 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901286 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879679 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.866971 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.856234 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84625 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837078 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832447 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825564 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.824107 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817208 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.810493 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.804973 [17] validation_0-merror:0.35 validation_0-mlogloss:0.801167 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799823 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.800386 [20] validation_0-merror:0.35 validation_0-mlogloss:0.800456 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.800501 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.800599 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.799206 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.793539 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.793162 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.797885 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.798523 [28] validation_0-merror:0.35 validation_0-mlogloss:0.797457 [29] validation_0-merror:0.35 validation_0-mlogloss:0.800605 [30] validation_0-merror:0.35 validation_0-mlogloss:0.804772 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.793162 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01437 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.984003 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.949757 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928471 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903703 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885904 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863376 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.842083 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831599 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.824906 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81334 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804587 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792032 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778699 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769831 [16] validation_0-merror:0.3 validation_0-mlogloss:0.761337 [17] validation_0-merror:0.3 validation_0-mlogloss:0.753005 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750175 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.749002 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.738872 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734491 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726297 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717541 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710402 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.70625 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.700609 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702015 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702202 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.694915 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.6902 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.685234 [32] validation_0-merror:0.3 validation_0-mlogloss:0.682313 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682072 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682522 [35] validation_0-merror:0.3 validation_0-mlogloss:0.684437 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686558 [37] validation_0-merror:0.3 validation_0-mlogloss:0.681364 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68226 [39] validation_0-merror:0.3 validation_0-mlogloss:0.680507 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682815 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683989 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677885 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675294 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676815 [45] validation_0-merror:0.3 validation_0-mlogloss:0.677554 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.681694 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.676787 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679764 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.675294 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05784 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0236 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990023 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965205 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931447 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.907711 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888596 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.874708 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855548 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837949 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824608 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816533 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.804212 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.79772 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792489 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.787692 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786736 [17] validation_0-merror:0.35 validation_0-mlogloss:0.781422 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78101 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.780042 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.779032 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776265 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.779633 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.778791 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.779291 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.777142 [26] validation_0-merror:0.35 validation_0-mlogloss:0.775249 [27] validation_0-merror:0.35 validation_0-mlogloss:0.772805 [28] validation_0-merror:0.35 validation_0-mlogloss:0.775493 [29] validation_0-merror:0.35 validation_0-mlogloss:0.775743 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.777327 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.784261 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.785234 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.772805 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0537 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01343 [2] validation_0-merror:0.25 validation_0-mlogloss:0.97765 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.962001 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.933861 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918171 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898382 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885036 [8] validation_0-merror:0.35 validation_0-mlogloss:0.862272 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851413 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837388 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82907 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815327 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802753 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793568 [15] validation_0-merror:0.35 validation_0-mlogloss:0.795739 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785586 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777046 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769939 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762898 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758493 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75702 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755552 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748794 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744666 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749658 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750815 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748062 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.744172 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.744292 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.742029 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.741075 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73463 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73632 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.736909 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.740625 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.737352 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.735155 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73463 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04489 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00948 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978049 [3] validation_0-merror:0.3 validation_0-mlogloss:0.945677 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92816 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904184 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885249 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863311 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.845069 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.827853 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.814159 [11] validation_0-merror:0.3 validation_0-mlogloss:0.802087 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.791888 [13] validation_0-merror:0.3 validation_0-mlogloss:0.78243 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.770644 [15] validation_0-merror:0.3 validation_0-mlogloss:0.759821 [16] validation_0-merror:0.3 validation_0-mlogloss:0.748968 [17] validation_0-merror:0.3 validation_0-mlogloss:0.742236 [18] validation_0-merror:0.3 validation_0-mlogloss:0.739677 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739556 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.73623 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734536 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.725843 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.722988 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.719852 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.715879 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.710891 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.715053 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.714152 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.714065 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.707401 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.703763 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.698636 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.700189 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.702004 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.700888 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70295 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.700094 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.698636 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05063 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983548 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952363 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921312 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899101 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881194 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.863398 [8] validation_0-merror:0.35 validation_0-mlogloss:0.844103 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828314 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820277 [11] validation_0-merror:0.35 validation_0-mlogloss:0.81653 [12] validation_0-merror:0.35 validation_0-mlogloss:0.808237 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801587 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796787 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787175 [16] validation_0-merror:0.35 validation_0-mlogloss:0.786097 [17] validation_0-merror:0.35 validation_0-mlogloss:0.782605 [18] validation_0-merror:0.35 validation_0-mlogloss:0.780407 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775622 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771382 [21] validation_0-merror:0.35 validation_0-mlogloss:0.772363 [22] validation_0-merror:0.35 validation_0-mlogloss:0.768468 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771691 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775641 [25] validation_0-merror:0.35 validation_0-mlogloss:0.775898 [26] validation_0-merror:0.35 validation_0-mlogloss:0.774067 [27] validation_0-merror:0.35 validation_0-mlogloss:0.777443 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.768468 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01273 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983498 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961764 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92755 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.908415 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89186 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87803 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.860731 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852493 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845429 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83145 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81918 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809593 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797998 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795723 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.791248 [17] validation_0-merror:0.3 validation_0-mlogloss:0.783391 [18] validation_0-merror:0.3 validation_0-mlogloss:0.782601 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77777 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.778511 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.781832 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.779324 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.775429 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.771626 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.774247 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.772056 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.774234 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769796 [29] validation_0-merror:0.3 validation_0-mlogloss:0.772243 [30] validation_0-merror:0.3 validation_0-mlogloss:0.772191 [31] validation_0-merror:0.3 validation_0-mlogloss:0.777826 [32] validation_0-merror:0.3 validation_0-mlogloss:0.775753 [33] validation_0-merror:0.3 validation_0-mlogloss:0.782644 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769796 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05358 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01416 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974799 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948329 [4] validation_0-merror:0.3 validation_0-mlogloss:0.918654 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.896176 [6] validation_0-merror:0.3 validation_0-mlogloss:0.874533 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.843734 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837248 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825966 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808895 [12] validation_0-merror:0.3 validation_0-mlogloss:0.794527 [13] validation_0-merror:0.3 validation_0-mlogloss:0.779522 [14] validation_0-merror:0.3 validation_0-mlogloss:0.77072 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.758963 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.752359 [17] validation_0-merror:0.3 validation_0-mlogloss:0.746281 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.743688 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.741964 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.736916 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732515 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734394 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733814 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73401 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731516 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729775 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.728994 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729115 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725438 [30] validation_0-merror:0.3 validation_0-mlogloss:0.723891 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.723298 [32] validation_0-merror:0.3 validation_0-mlogloss:0.724723 [33] validation_0-merror:0.3 validation_0-mlogloss:0.72774 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728102 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.729816 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.731654 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.723298 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05363 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01839 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982522 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957138 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930139 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.903527 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882718 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864184 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850532 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839649 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826508 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812757 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804832 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.795724 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788856 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78185 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779675 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775004 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77564 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772355 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772909 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.772117 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773124 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.773245 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.772346 [25] validation_0-merror:0.3 validation_0-mlogloss:0.773262 [26] validation_0-merror:0.3 validation_0-mlogloss:0.775376 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.772117 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02177 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98357 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952902 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930441 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.903552 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.883043 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866889 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853185 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.847017 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.841821 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829923 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.819532 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811805 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80297 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799526 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787844 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779866 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773356 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768685 [20] validation_0-merror:0.3 validation_0-mlogloss:0.767815 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.765937 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76405 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.762846 [24] validation_0-merror:0.3 validation_0-mlogloss:0.756395 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.757098 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756091 [27] validation_0-merror:0.3 validation_0-mlogloss:0.758473 [28] validation_0-merror:0.3 validation_0-mlogloss:0.758498 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.759071 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.762822 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.765572 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756091 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02203 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989209 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957636 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934998 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.908042 [6] validation_0-merror:0.3 validation_0-mlogloss:0.891752 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872002 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856625 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843154 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834761 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821659 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810068 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805375 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.797855 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788368 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778072 [17] validation_0-merror:0.3 validation_0-mlogloss:0.76714 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766179 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763208 [20] validation_0-merror:0.3 validation_0-mlogloss:0.75428 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750651 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746733 [23] validation_0-merror:0.3 validation_0-mlogloss:0.733072 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72687 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727784 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725753 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72792 [28] validation_0-merror:0.3 validation_0-mlogloss:0.728359 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722156 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.718348 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.714012 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.712187 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.711149 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.714297 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.715283 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.716401 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.714584 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712184 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.711149 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987014 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962339 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932955 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91006 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886102 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.865664 [8] validation_0-merror:0.35 validation_0-mlogloss:0.84818 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829433 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814538 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806106 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800137 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.793291 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.788434 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.78384 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779841 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.775722 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777555 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775463 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.771419 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769819 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771949 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.772971 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.773014 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772545 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.771663 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769819 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06196 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02022 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985642 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965685 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940533 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918244 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.898457 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884577 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.864662 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852361 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835425 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825466 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814459 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.800981 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789602 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789266 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780453 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.769386 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766387 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759231 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.751377 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.750504 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.747696 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.740014 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736144 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737659 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.738617 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736691 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732835 [29] validation_0-merror:0.3 validation_0-mlogloss:0.729909 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726733 [31] validation_0-merror:0.3 validation_0-mlogloss:0.723005 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717473 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720833 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721099 [35] validation_0-merror:0.3 validation_0-mlogloss:0.727523 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727254 [37] validation_0-merror:0.3 validation_0-mlogloss:0.724043 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.717473 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04786 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00963 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.981267 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.944418 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924992 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.901121 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.883184 [7] validation_0-merror:0.3 validation_0-mlogloss:0.861413 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.842896 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.82942 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818023 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805166 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793605 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785938 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776683 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767502 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.755546 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.748682 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.743679 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.745501 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737982 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735668 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730667 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724505 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.721666 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.718478 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714395 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.717194 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714976 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.715546 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709891 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704975 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.7025 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.701111 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.699666 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695326 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691915 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.694178 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.696034 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692415 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.693997 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.692608 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691915 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04869 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00611 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976492 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947632 [4] validation_0-merror:0.35 validation_0-mlogloss:0.916138 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890466 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.874753 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856716 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.835831 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.820028 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812084 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807274 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79693 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790708 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787933 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781631 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781023 [17] validation_0-merror:0.35 validation_0-mlogloss:0.781522 [18] validation_0-merror:0.35 validation_0-mlogloss:0.777864 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774722 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768021 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767849 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766108 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76624 [24] validation_0-merror:0.35 validation_0-mlogloss:0.767968 [25] validation_0-merror:0.35 validation_0-mlogloss:0.768291 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768884 [27] validation_0-merror:0.35 validation_0-mlogloss:0.766123 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.766108 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01144 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983868 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963917 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916948 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.894763 [7] validation_0-merror:0.3 validation_0-mlogloss:0.880962 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860102 [9] validation_0-merror:0.3 validation_0-mlogloss:0.849173 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.840865 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826653 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814025 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804285 [14] validation_0-merror:0.3 validation_0-mlogloss:0.793319 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792936 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.789391 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780853 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780544 [19] validation_0-merror:0.3 validation_0-mlogloss:0.776695 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772281 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772449 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765775 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.763099 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756132 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756401 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74847 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747582 [28] validation_0-merror:0.35 validation_0-mlogloss:0.743184 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740766 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.741878 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.739314 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.738736 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.743059 [34] validation_0-merror:0.3 validation_0-mlogloss:0.739013 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.74572 [36] validation_0-merror:0.3 validation_0-mlogloss:0.748201 [37] validation_0-merror:0.3 validation_0-mlogloss:0.746825 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.738736 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01363 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97598 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945138 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919363 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892525 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.86901 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8512 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.834024 [9] validation_0-merror:0.35 validation_0-mlogloss:0.826523 [10] validation_0-merror:0.35 validation_0-mlogloss:0.818684 [11] validation_0-merror:0.3 validation_0-mlogloss:0.799247 [12] validation_0-merror:0.3 validation_0-mlogloss:0.784116 [13] validation_0-merror:0.3 validation_0-mlogloss:0.773163 [14] validation_0-merror:0.3 validation_0-mlogloss:0.766209 [15] validation_0-merror:0.3 validation_0-mlogloss:0.759415 [16] validation_0-merror:0.3 validation_0-mlogloss:0.752326 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.743256 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.734028 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.726042 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.719379 [21] validation_0-merror:0.3 validation_0-mlogloss:0.713843 [22] validation_0-merror:0.3 validation_0-mlogloss:0.709151 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.704826 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.700889 [25] validation_0-merror:0.3 validation_0-mlogloss:0.696134 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.69112 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.691301 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.688911 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.687275 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.685503 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686509 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686605 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686456 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68768 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.688721 Stopping. Best iteration: [30] validation_0-merror:0.283333 validation_0-mlogloss:0.685503 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05365 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979223 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952691 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926301 [5] validation_0-merror:0.35 validation_0-mlogloss:0.90139 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880824 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.860929 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.848471 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83803 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.824148 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809875 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.79865 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.789969 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789002 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.779204 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776802 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776018 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775005 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770162 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768336 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766395 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765873 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.766713 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766242 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766333 [26] validation_0-merror:0.3 validation_0-mlogloss:0.767977 [27] validation_0-merror:0.3 validation_0-mlogloss:0.770159 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765873 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06406 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02655 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991475 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967981 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.939127 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912703 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892669 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871401 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849666 [9] validation_0-merror:0.35 validation_0-mlogloss:0.84562 [10] validation_0-merror:0.35 validation_0-mlogloss:0.832173 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818158 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.806584 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797112 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783902 [15] validation_0-merror:0.3 validation_0-mlogloss:0.776885 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.763411 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.75943 [18] validation_0-merror:0.25 validation_0-mlogloss:0.758281 [19] validation_0-merror:0.25 validation_0-mlogloss:0.75511 [20] validation_0-merror:0.25 validation_0-mlogloss:0.754481 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.75141 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.748079 [23] validation_0-merror:0.25 validation_0-mlogloss:0.74243 [24] validation_0-merror:0.25 validation_0-mlogloss:0.740334 [25] validation_0-merror:0.25 validation_0-mlogloss:0.73921 [26] validation_0-merror:0.25 validation_0-mlogloss:0.739717 [27] validation_0-merror:0.25 validation_0-mlogloss:0.739528 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.737141 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.736866 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.737979 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.739295 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.738701 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.738754 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.736838 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.73531 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.736477 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.738012 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.73666 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.739764 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.743146 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.73531 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03552 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00184 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970401 [4] validation_0-merror:0.4 validation_0-mlogloss:0.948268 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.9228 [6] validation_0-merror:0.4 validation_0-mlogloss:0.906488 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888842 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873094 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853366 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842736 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828871 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817591 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809833 [14] validation_0-merror:0.35 validation_0-mlogloss:0.799121 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790311 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780682 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771248 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768192 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76497 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754374 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749426 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745389 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744181 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736389 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.739148 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737076 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73717 [28] validation_0-merror:0.3 validation_0-mlogloss:0.738237 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73198 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730769 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72813 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726322 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.723572 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.725373 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729868 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.73082 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.729007 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727917 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.723572 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02665 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.988637 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962568 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927061 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905888 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883717 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864517 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846981 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.82983 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813718 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805176 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797951 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789702 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78453 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777803 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.77408 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.767018 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.767616 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.76295 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.757779 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752174 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75357 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756443 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760493 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.75881 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756136 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752174 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989155 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940658 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920882 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902973 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887919 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871007 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858915 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842588 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83324 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81605 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.801153 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789819 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791214 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78359 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774227 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76959 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764194 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758517 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753542 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.751614 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744992 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.742724 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743022 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744637 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743988 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.743309 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737756 [30] validation_0-merror:0.35 validation_0-mlogloss:0.73733 [31] validation_0-merror:0.35 validation_0-mlogloss:0.731238 [32] validation_0-merror:0.35 validation_0-mlogloss:0.728993 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.732127 [34] validation_0-merror:0.35 validation_0-mlogloss:0.733865 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741227 [36] validation_0-merror:0.35 validation_0-mlogloss:0.739447 [37] validation_0-merror:0.35 validation_0-mlogloss:0.7365 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.728993 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01286 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986738 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950275 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927487 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901329 [6] validation_0-merror:0.3 validation_0-mlogloss:0.879576 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863051 [8] validation_0-merror:0.3 validation_0-mlogloss:0.85058 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834559 [10] validation_0-merror:0.3 validation_0-mlogloss:0.821798 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.809954 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798805 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789503 [14] validation_0-merror:0.3 validation_0-mlogloss:0.781032 [15] validation_0-merror:0.3 validation_0-mlogloss:0.772981 [16] validation_0-merror:0.3 validation_0-mlogloss:0.767095 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758822 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757867 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748033 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743073 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736598 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732267 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728058 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724515 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718046 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72033 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.7228 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717889 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712819 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709295 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.706644 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703701 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701821 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699485 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696772 [37] validation_0-merror:0.3 validation_0-mlogloss:0.69505 [38] validation_0-merror:0.3 validation_0-mlogloss:0.697193 [39] validation_0-merror:0.3 validation_0-mlogloss:0.69149 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692611 [41] validation_0-merror:0.3 validation_0-mlogloss:0.69089 [42] validation_0-merror:0.3 validation_0-mlogloss:0.690333 [43] validation_0-merror:0.3 validation_0-mlogloss:0.689072 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688831 [45] validation_0-merror:0.3 validation_0-mlogloss:0.690087 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691222 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689941 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688864 [49] validation_0-merror:0.3 validation_0-mlogloss:0.687113 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689552 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.69119 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.687097 [53] validation_0-merror:0.3 validation_0-mlogloss:0.690113 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.686932 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685874 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.687486 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.688636 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.691096 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.692092 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.693321 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685874 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01344 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984334 [3] validation_0-merror:0.35 validation_0-mlogloss:0.951814 [4] validation_0-merror:0.3 validation_0-mlogloss:0.920576 [5] validation_0-merror:0.3 validation_0-mlogloss:0.894401 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880053 [7] validation_0-merror:0.35 validation_0-mlogloss:0.858517 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839937 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.825282 [10] validation_0-merror:0.3 validation_0-mlogloss:0.81663 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811325 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800263 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795794 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794399 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783966 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.780105 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.778675 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.776831 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.770696 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76029 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760306 [22] validation_0-merror:0.35 validation_0-mlogloss:0.758462 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761234 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761759 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760753 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759706 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75637 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756718 [29] validation_0-merror:0.35 validation_0-mlogloss:0.757697 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.760255 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761724 [32] validation_0-merror:0.35 validation_0-mlogloss:0.761592 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.75637 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01509 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985204 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962419 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942212 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917736 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.896292 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882379 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.862125 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85057 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.838986 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82573 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814443 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805078 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794426 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789375 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785277 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77899 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779498 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77504 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.767374 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.768216 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.765171 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.757304 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.756232 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.754106 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.747196 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.745061 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740673 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73522 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.736349 [31] validation_0-merror:0.3 validation_0-mlogloss:0.731403 [32] validation_0-merror:0.3 validation_0-mlogloss:0.729678 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.733329 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727224 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731634 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.729314 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727894 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727087 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.730316 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725253 [41] validation_0-merror:0.3 validation_0-mlogloss:0.724994 [42] validation_0-merror:0.3 validation_0-mlogloss:0.725316 [43] validation_0-merror:0.3 validation_0-mlogloss:0.727634 [44] validation_0-merror:0.3 validation_0-mlogloss:0.732404 [45] validation_0-merror:0.3 validation_0-mlogloss:0.73288 [46] validation_0-merror:0.3 validation_0-mlogloss:0.733042 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.724994 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02115 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987041 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955379 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930897 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908979 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890289 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871415 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85322 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842614 [10] validation_0-merror:0.35 validation_0-mlogloss:0.831066 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812187 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796829 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.78348 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.7743 [15] validation_0-merror:0.3 validation_0-mlogloss:0.764461 [16] validation_0-merror:0.3 validation_0-mlogloss:0.759154 [17] validation_0-merror:0.3 validation_0-mlogloss:0.753568 [18] validation_0-merror:0.3 validation_0-mlogloss:0.748929 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.742362 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.736582 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731252 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726746 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726304 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723754 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719999 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716373 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71508 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713668 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712994 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712483 [31] validation_0-merror:0.3 validation_0-mlogloss:0.710911 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710369 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708986 [34] validation_0-merror:0.3 validation_0-mlogloss:0.7125 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712698 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712972 [37] validation_0-merror:0.3 validation_0-mlogloss:0.710399 [38] validation_0-merror:0.3 validation_0-mlogloss:0.709647 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.708986 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01557 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978458 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954763 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930581 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90726 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.890432 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.875748 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.862284 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853947 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838744 [11] validation_0-merror:0.35 validation_0-mlogloss:0.825314 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813588 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809093 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804407 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802403 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799832 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.795315 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.797738 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.796727 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.794601 [21] validation_0-merror:0.35 validation_0-mlogloss:0.792415 [22] validation_0-merror:0.35 validation_0-mlogloss:0.793421 [23] validation_0-merror:0.35 validation_0-mlogloss:0.792062 [24] validation_0-merror:0.35 validation_0-mlogloss:0.790689 [25] validation_0-merror:0.35 validation_0-mlogloss:0.791176 [26] validation_0-merror:0.35 validation_0-mlogloss:0.793239 [27] validation_0-merror:0.35 validation_0-mlogloss:0.794944 [28] validation_0-merror:0.35 validation_0-mlogloss:0.796546 [29] validation_0-merror:0.35 validation_0-mlogloss:0.798548 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.790689 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02529 [2] validation_0-merror:0.25 validation_0-mlogloss:0.986387 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.961231 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932211 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912856 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892074 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87618 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859033 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.85307 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840399 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.832315 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823589 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818482 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.805224 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.805559 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.797671 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.78948 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.790162 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.788209 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.78726 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.781464 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.776172 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.767903 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.766344 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.762263 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.761119 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.761857 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.757416 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.758127 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.758522 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.758381 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.756998 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.754753 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.753806 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.751921 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.750265 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.75068 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.751895 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.753402 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.753786 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.753615 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.750265 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03543 [2] validation_0-merror:0.45 validation_0-mlogloss:1.00486 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972265 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95177 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931339 [6] validation_0-merror:0.4 validation_0-mlogloss:0.913321 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.896467 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877948 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.862862 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853273 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.840955 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828628 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817517 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807614 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79865 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.786975 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778365 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.77458 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773115 [20] validation_0-merror:0.3 validation_0-mlogloss:0.764297 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759272 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754451 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.746436 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738521 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736998 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.734396 [27] validation_0-merror:0.3 validation_0-mlogloss:0.732127 [28] validation_0-merror:0.3 validation_0-mlogloss:0.726791 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722527 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.720212 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716296 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715405 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7127 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.714792 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715349 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.714228 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.713621 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716885 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7127 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02762 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.990376 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963564 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931512 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912125 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890058 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868858 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849437 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831181 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814899 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804573 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796381 [13] validation_0-merror:0.35 validation_0-mlogloss:0.78862 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.785969 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77883 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775035 [17] validation_0-merror:0.35 validation_0-mlogloss:0.765828 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764598 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758833 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752875 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747057 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747253 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.748242 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.749472 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.74801 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.747104 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.747057 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02568 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.99034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971349 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949894 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.92728 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904369 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887618 [8] validation_0-merror:0.35 validation_0-mlogloss:0.867669 [9] validation_0-merror:0.3 validation_0-mlogloss:0.8532 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834051 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823475 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812282 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799644 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789269 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787193 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779306 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770041 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763252 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758772 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756318 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749118 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.749396 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741771 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738588 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741502 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739665 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736606 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.734795 [29] validation_0-merror:0.35 validation_0-mlogloss:0.730167 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.727024 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.724901 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.722512 [33] validation_0-merror:0.35 validation_0-mlogloss:0.723175 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721581 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725374 [36] validation_0-merror:0.35 validation_0-mlogloss:0.726599 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.725377 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.723971 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.725655 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721581 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01932 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989122 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.953933 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929909 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904719 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887644 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87117 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855914 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838448 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829313 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81511 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80385 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797804 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787428 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777847 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770808 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761749 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.75958 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757108 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751218 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749021 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739392 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737425 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733144 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728466 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726318 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727648 [28] validation_0-merror:0.3 validation_0-mlogloss:0.726804 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724993 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722103 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716996 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711611 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.711253 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709928 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.705589 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70286 [37] validation_0-merror:0.3 validation_0-mlogloss:0.700756 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704611 [39] validation_0-merror:0.3 validation_0-mlogloss:0.700127 [40] validation_0-merror:0.3 validation_0-mlogloss:0.700714 [41] validation_0-merror:0.3 validation_0-mlogloss:0.695796 [42] validation_0-merror:0.3 validation_0-mlogloss:0.695386 [43] validation_0-merror:0.3 validation_0-mlogloss:0.694691 [44] validation_0-merror:0.3 validation_0-mlogloss:0.694373 [45] validation_0-merror:0.3 validation_0-mlogloss:0.6952 [46] validation_0-merror:0.3 validation_0-mlogloss:0.696334 [47] validation_0-merror:0.3 validation_0-mlogloss:0.693648 [48] validation_0-merror:0.3 validation_0-mlogloss:0.692459 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692736 [50] validation_0-merror:0.3 validation_0-mlogloss:0.692142 [51] validation_0-merror:0.3 validation_0-mlogloss:0.692688 [52] validation_0-merror:0.3 validation_0-mlogloss:0.691205 [53] validation_0-merror:0.3 validation_0-mlogloss:0.692807 [54] validation_0-merror:0.3 validation_0-mlogloss:0.688637 [55] validation_0-merror:0.3 validation_0-mlogloss:0.687217 [56] validation_0-merror:0.3 validation_0-mlogloss:0.688795 [57] validation_0-merror:0.3 validation_0-mlogloss:0.68939 [58] validation_0-merror:0.3 validation_0-mlogloss:0.692557 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.691665 [60] validation_0-merror:0.3 validation_0-mlogloss:0.689264 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.687217 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01778 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987977 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956837 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927562 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907419 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891977 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86983 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850678 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833624 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814036 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802843 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798696 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793108 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786096 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782686 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776606 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772324 [19] validation_0-merror:0.4 validation_0-mlogloss:0.767885 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758504 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754955 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752032 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.75308 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753736 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749493 [26] validation_0-merror:0.4 validation_0-mlogloss:0.747122 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.744796 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.744482 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.743286 [30] validation_0-merror:0.4 validation_0-mlogloss:0.746101 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.74424 [32] validation_0-merror:0.4 validation_0-mlogloss:0.744177 [33] validation_0-merror:0.4 validation_0-mlogloss:0.748294 [34] validation_0-merror:0.4 validation_0-mlogloss:0.749772 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.743286 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930535 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.911475 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898484 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.877445 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865537 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854265 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.843537 [12] validation_0-merror:0.25 validation_0-mlogloss:0.831839 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822412 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812767 [15] validation_0-merror:0.3 validation_0-mlogloss:0.806345 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.800511 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.791002 [18] validation_0-merror:0.3 validation_0-mlogloss:0.789112 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786039 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777389 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776935 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773418 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7664 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763648 [25] validation_0-merror:0.3 validation_0-mlogloss:0.765476 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761257 [27] validation_0-merror:0.3 validation_0-mlogloss:0.757886 [28] validation_0-merror:0.3 validation_0-mlogloss:0.752783 [29] validation_0-merror:0.3 validation_0-mlogloss:0.755034 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.756478 [31] validation_0-merror:0.3 validation_0-mlogloss:0.750365 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748578 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.750058 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.746827 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752633 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.748672 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.747319 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.747013 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.745748 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.74201 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.74094 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.738925 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738472 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.743186 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.740953 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.741045 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.740558 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.740137 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.738472 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02053 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986066 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956459 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905516 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886515 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868645 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851066 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.828782 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811347 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79713 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783593 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.774724 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.764873 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.755754 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.747623 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.742291 [19] validation_0-merror:0.3 validation_0-mlogloss:0.734641 [20] validation_0-merror:0.3 validation_0-mlogloss:0.727962 [21] validation_0-merror:0.3 validation_0-mlogloss:0.72582 [22] validation_0-merror:0.3 validation_0-mlogloss:0.723722 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722796 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719292 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715985 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.711666 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71075 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707916 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.706651 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706011 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704958 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.702432 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.701896 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.704172 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.703728 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702266 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.703345 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.705045 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.701896 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952482 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925744 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.901384 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882181 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.868623 [8] validation_0-merror:0.4 validation_0-mlogloss:0.856866 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.846403 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.831586 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.820565 [12] validation_0-merror:0.4 validation_0-mlogloss:0.814084 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.80533 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.796747 [15] validation_0-merror:0.4 validation_0-mlogloss:0.790758 [16] validation_0-merror:0.4 validation_0-mlogloss:0.788605 [17] validation_0-merror:0.4 validation_0-mlogloss:0.787997 [18] validation_0-merror:0.4 validation_0-mlogloss:0.785434 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.784962 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.784407 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.781488 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.779762 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.778511 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.773079 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.772318 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.769127 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.770031 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.768439 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.771285 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.771236 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.769828 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.770168 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.768538 Stopping. Best iteration: [28] validation_0-merror:0.416667 validation_0-mlogloss:0.768439 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06247 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0261 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990544 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959803 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929789 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90906 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886568 [7] validation_0-merror:0.3 validation_0-mlogloss:0.870439 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852527 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84288 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834119 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.824894 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816153 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812193 [14] validation_0-merror:0.3 validation_0-mlogloss:0.799368 [15] validation_0-merror:0.3 validation_0-mlogloss:0.793356 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784527 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777172 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774231 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770432 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770085 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765021 [22] validation_0-merror:0.3 validation_0-mlogloss:0.760369 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75553 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749938 [25] validation_0-merror:0.3 validation_0-mlogloss:0.749008 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.745405 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.743014 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.740091 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.736893 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.739417 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.741944 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.740087 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.734969 [34] validation_0-merror:0.3 validation_0-mlogloss:0.734765 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.738078 [36] validation_0-merror:0.3 validation_0-mlogloss:0.736889 [37] validation_0-merror:0.3 validation_0-mlogloss:0.735633 [38] validation_0-merror:0.3 validation_0-mlogloss:0.734091 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.732239 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.733421 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.730317 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.730955 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.731005 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731487 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.733475 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.734712 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.730317 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02496 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998763 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965218 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944513 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920399 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901523 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885842 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852847 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84274 [11] validation_0-merror:0.3 validation_0-mlogloss:0.827972 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816693 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809165 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796987 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78271 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774703 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764141 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760351 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754978 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748982 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.743276 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.734155 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727314 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718553 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.712251 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705513 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703467 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698722 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690792 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.687757 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.683653 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.679492 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.678671 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.678731 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.680546 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.680477 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.675015 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67494 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672809 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.668994 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.668664 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66367 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.663246 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.664223 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.66297 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.664091 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660094 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.658453 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.662658 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.660274 [51] validation_0-merror:0.25 validation_0-mlogloss:0.665285 [52] validation_0-merror:0.25 validation_0-mlogloss:0.665362 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.667361 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.658453 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960764 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912794 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892119 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875536 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858593 [9] validation_0-merror:0.35 validation_0-mlogloss:0.841357 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.827453 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814817 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799543 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79219 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786748 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777844 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773988 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767633 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765745 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762265 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759641 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754316 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755142 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754573 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.756928 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752085 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745454 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740642 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.735492 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737743 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739178 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73758 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.737323 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.733442 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.737822 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738582 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.732219 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733716 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.732798 [39] validation_0-merror:0.35 validation_0-mlogloss:0.731712 [40] validation_0-merror:0.35 validation_0-mlogloss:0.731729 [41] validation_0-merror:0.35 validation_0-mlogloss:0.728125 [42] validation_0-merror:0.35 validation_0-mlogloss:0.727249 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.723178 [44] validation_0-merror:0.35 validation_0-mlogloss:0.72537 [45] validation_0-merror:0.35 validation_0-mlogloss:0.725789 [46] validation_0-merror:0.35 validation_0-mlogloss:0.732085 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.729801 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.731159 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.723178 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06252 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02418 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990121 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966782 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94126 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918289 [6] validation_0-merror:0.3 validation_0-mlogloss:0.897109 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.880505 [8] validation_0-merror:0.3 validation_0-mlogloss:0.864166 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.850843 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.833094 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822278 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.811359 [13] validation_0-merror:0.3 validation_0-mlogloss:0.79554 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787049 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782125 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773362 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768126 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757056 [19] validation_0-merror:0.3 validation_0-mlogloss:0.749962 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.747379 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.740732 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736318 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727279 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.725922 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723813 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.720982 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.719312 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714924 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708857 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702247 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697175 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691865 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694495 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.691799 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691682 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683233 [37] validation_0-merror:0.3 validation_0-mlogloss:0.678231 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676629 [39] validation_0-merror:0.3 validation_0-mlogloss:0.675696 [40] validation_0-merror:0.3 validation_0-mlogloss:0.676184 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670574 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670071 [43] validation_0-merror:0.3 validation_0-mlogloss:0.664667 [44] validation_0-merror:0.3 validation_0-mlogloss:0.661574 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.661173 [46] validation_0-merror:0.3 validation_0-mlogloss:0.662798 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66064 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660774 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.66098 [50] validation_0-merror:0.3 validation_0-mlogloss:0.660193 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660102 [52] validation_0-merror:0.3 validation_0-mlogloss:0.654375 [53] validation_0-merror:0.3 validation_0-mlogloss:0.65638 [54] validation_0-merror:0.3 validation_0-mlogloss:0.660846 [55] validation_0-merror:0.3 validation_0-mlogloss:0.659513 [56] validation_0-merror:0.3 validation_0-mlogloss:0.656547 [57] validation_0-merror:0.3 validation_0-mlogloss:0.655863 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.654375 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961435 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940231 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918891 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899607 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879108 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862226 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846767 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834201 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820309 [12] validation_0-merror:0.35 validation_0-mlogloss:0.808977 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801437 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788053 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765651 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756835 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752274 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749395 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743496 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737617 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729695 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72454 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703669 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703185 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70357 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.701056 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694553 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689431 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.68227 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.67986 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676882 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673752 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.672646 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.674198 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.675125 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.672354 [40] validation_0-merror:0.3 validation_0-mlogloss:0.66949 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.666372 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.666149 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.667126 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.662882 [45] validation_0-merror:0.3 validation_0-mlogloss:0.662002 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.660119 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.658208 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.654903 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654815 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.654034 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.656212 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653512 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656474 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.656333 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.655221 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.658844 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.65702 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653512 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05661 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02089 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994132 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963489 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939132 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916009 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899676 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884175 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869303 [9] validation_0-merror:0.35 validation_0-mlogloss:0.856854 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847644 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840815 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826285 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818357 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810319 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800885 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795192 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790603 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783178 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774504 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76615 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760749 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.756888 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.754357 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.754199 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.748542 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740174 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737407 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.735932 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.735608 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.732736 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733051 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.728363 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.722083 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.719927 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.719662 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.716636 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719674 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718987 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.722729 [40] validation_0-merror:0.35 validation_0-mlogloss:0.721729 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724431 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.716636 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06162 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995502 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968754 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.94702 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924702 [6] validation_0-merror:0.3 validation_0-mlogloss:0.902362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885106 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867463 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856766 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846775 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834811 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823605 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815476 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805527 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800097 [16] validation_0-merror:0.3 validation_0-mlogloss:0.796132 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790008 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.781135 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778585 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.770054 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760815 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753178 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743442 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736994 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732118 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725374 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721896 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715487 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710262 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706307 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704656 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.698176 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697719 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.69328 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690756 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.68531 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.682423 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.681435 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.679769 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676967 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677228 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.676296 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674787 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.673339 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.673553 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.67077 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.670217 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668148 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.67099 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.669343 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.668507 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.667681 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.669147 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.669891 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.667513 [56] validation_0-merror:0.3 validation_0-mlogloss:0.664661 [57] validation_0-merror:0.3 validation_0-mlogloss:0.662035 [58] validation_0-merror:0.3 validation_0-mlogloss:0.661858 [59] validation_0-merror:0.3 validation_0-mlogloss:0.661377 [60] validation_0-merror:0.3 validation_0-mlogloss:0.663087 [61] validation_0-merror:0.3 validation_0-mlogloss:0.663272 [62] validation_0-merror:0.3 validation_0-mlogloss:0.660838 [63] validation_0-merror:0.3 validation_0-mlogloss:0.663801 [64] validation_0-merror:0.3 validation_0-mlogloss:0.663625 [65] validation_0-merror:0.3 validation_0-mlogloss:0.660407 [66] validation_0-merror:0.3 validation_0-mlogloss:0.661714 [67] validation_0-merror:0.3 validation_0-mlogloss:0.66213 [68] validation_0-merror:0.3 validation_0-mlogloss:0.663162 [69] validation_0-merror:0.3 validation_0-mlogloss:0.663814 [70] validation_0-merror:0.3 validation_0-mlogloss:0.663081 Stopping. Best iteration: [65] validation_0-merror:0.3 validation_0-mlogloss:0.660407 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02068 [2] validation_0-merror:0.3 validation_0-mlogloss:0.98647 [3] validation_0-merror:0.3 validation_0-mlogloss:0.955587 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.931792 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90804 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887698 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868128 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851453 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83916 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826822 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814517 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801452 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787164 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777067 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.766363 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.759598 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.751441 [18] validation_0-merror:0.35 validation_0-mlogloss:0.744675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.737542 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732692 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.725629 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.723977 [23] validation_0-merror:0.35 validation_0-mlogloss:0.717806 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.714234 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707452 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.705553 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.701681 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.699574 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695219 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.692745 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692334 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689594 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.683491 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.682935 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67884 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673902 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.672152 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.673187 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672742 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.670903 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.670114 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66811 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.668452 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.669251 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.669713 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.669759 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.671504 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66811 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995518 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970909 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945964 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924741 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90338 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892087 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879878 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.868035 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.858636 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845897 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836876 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828572 [14] validation_0-merror:0.35 validation_0-mlogloss:0.823106 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.81337 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.806314 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.80081 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.795323 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.788574 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781864 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77704 [22] validation_0-merror:0.4 validation_0-mlogloss:0.775072 [23] validation_0-merror:0.4 validation_0-mlogloss:0.771137 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766533 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761551 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756094 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755624 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.75409 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749879 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.749669 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746814 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.743929 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.741884 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.738785 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734897 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.735207 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.732978 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.732709 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.734316 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.731692 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.730103 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.728576 [43] validation_0-merror:0.35 validation_0-mlogloss:0.72767 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.725456 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.724403 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.722426 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.721043 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.720289 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.71889 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.720501 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.720751 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.719362 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.723407 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.722585 Stopping. Best iteration: [49] validation_0-merror:0.366667 validation_0-mlogloss:0.71889 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06798 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03255 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.999221 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974127 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950911 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924384 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90385 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897919 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88126 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.875527 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.868387 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.861738 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.856411 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.848712 [14] validation_0-merror:0.3 validation_0-mlogloss:0.837216 [15] validation_0-merror:0.3 validation_0-mlogloss:0.829229 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.818035 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.810373 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.806616 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.794778 [20] validation_0-merror:0.3 validation_0-mlogloss:0.787444 [21] validation_0-merror:0.3 validation_0-mlogloss:0.779611 [22] validation_0-merror:0.3 validation_0-mlogloss:0.771777 [23] validation_0-merror:0.3 validation_0-mlogloss:0.765522 [24] validation_0-merror:0.3 validation_0-mlogloss:0.758147 [25] validation_0-merror:0.3 validation_0-mlogloss:0.753596 [26] validation_0-merror:0.3 validation_0-mlogloss:0.748856 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747531 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743647 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739174 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737595 [32] validation_0-merror:0.3 validation_0-mlogloss:0.734611 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730741 [34] validation_0-merror:0.3 validation_0-mlogloss:0.727411 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.723939 [36] validation_0-merror:0.3 validation_0-mlogloss:0.719738 [37] validation_0-merror:0.3 validation_0-mlogloss:0.718335 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717296 [39] validation_0-merror:0.3 validation_0-mlogloss:0.715826 [40] validation_0-merror:0.3 validation_0-mlogloss:0.713561 [41] validation_0-merror:0.3 validation_0-mlogloss:0.711778 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.709905 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.707107 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.705416 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.706502 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.703592 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.701703 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.698413 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.696688 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.693615 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.692733 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.689947 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.687976 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.688357 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.688331 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.685909 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.685357 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.683309 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.682086 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.678891 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.678269 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.67715 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.674565 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.675048 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.675612 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.673863 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.673506 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.673844 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.673522 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.674996 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.674439 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.67437 Stopping. Best iteration: [67] validation_0-merror:0.266667 validation_0-mlogloss:0.673506 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02293 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996971 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965337 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945061 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921178 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904512 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885487 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867404 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.854894 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843545 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829353 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.818614 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809353 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798698 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786354 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779773 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768606 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764554 [19] validation_0-merror:0.35 validation_0-mlogloss:0.75882 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751028 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746304 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739456 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.732752 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723362 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.716918 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.710735 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.707344 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.703446 [29] validation_0-merror:0.3 validation_0-mlogloss:0.697661 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694612 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.690082 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683801 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.683268 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.683308 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.685892 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.685011 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681396 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.680988 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.678824 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677328 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675501 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672583 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.67209 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67363 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.672567 [46] validation_0-merror:0.25 validation_0-mlogloss:0.673819 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.668379 [48] validation_0-merror:0.25 validation_0-mlogloss:0.666964 [49] validation_0-merror:0.25 validation_0-mlogloss:0.671152 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.66857 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672131 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.672121 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.673889 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.666964 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02207 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987318 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96357 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936694 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914851 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891793 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.874478 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857559 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839168 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827136 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814449 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.801832 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794364 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793111 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783778 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.7795 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.7759 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774326 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770362 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.768979 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763572 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763605 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762508 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763484 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759097 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755725 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.752425 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.751232 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752196 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.753289 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.74972 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.751072 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746763 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.749789 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.75435 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.748351 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.749632 [38] validation_0-merror:0.35 validation_0-mlogloss:0.747318 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746763 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02431 [2] validation_0-merror:0.3 validation_0-mlogloss:0.990213 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966924 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941126 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917951 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.895385 [7] validation_0-merror:0.25 validation_0-mlogloss:0.879677 [8] validation_0-merror:0.3 validation_0-mlogloss:0.863258 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851672 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832989 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82214 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811029 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793484 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784663 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781564 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775231 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768731 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757786 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75076 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747943 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741247 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.736975 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727795 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72446 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723126 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721728 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.720229 [28] validation_0-merror:0.35 validation_0-mlogloss:0.71441 [29] validation_0-merror:0.35 validation_0-mlogloss:0.717572 [30] validation_0-merror:0.35 validation_0-mlogloss:0.711565 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.70517 [32] validation_0-merror:0.35 validation_0-mlogloss:0.700455 [33] validation_0-merror:0.35 validation_0-mlogloss:0.70098 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.698046 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.698928 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.691294 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.686014 [38] validation_0-merror:0.3 validation_0-mlogloss:0.682728 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682596 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.686096 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.680376 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.679398 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674221 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672392 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.671975 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675664 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.672352 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.671662 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.673772 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.672472 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.670992 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.667204 [53] validation_0-merror:0.3 validation_0-mlogloss:0.669971 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675001 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673031 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672584 [57] validation_0-merror:0.3 validation_0-mlogloss:0.671139 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.667204 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05336 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.994915 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940379 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92053 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905109 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884934 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868054 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852718 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840084 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827706 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815005 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806714 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792799 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778826 [16] validation_0-merror:0.35 validation_0-mlogloss:0.770331 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761343 [18] validation_0-merror:0.35 validation_0-mlogloss:0.75631 [19] validation_0-merror:0.35 validation_0-mlogloss:0.752714 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745664 [21] validation_0-merror:0.35 validation_0-mlogloss:0.74245 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.733729 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728586 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724144 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714519 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707732 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706382 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.707499 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705535 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.69799 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693504 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.684425 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680727 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676806 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.672957 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.670148 [37] validation_0-merror:0.3 validation_0-mlogloss:0.671344 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.671593 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668963 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.665909 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.661918 [42] validation_0-merror:0.3 validation_0-mlogloss:0.660947 [43] validation_0-merror:0.3 validation_0-mlogloss:0.661243 [44] validation_0-merror:0.3 validation_0-mlogloss:0.657541 [45] validation_0-merror:0.3 validation_0-mlogloss:0.65647 [46] validation_0-merror:0.3 validation_0-mlogloss:0.654225 [47] validation_0-merror:0.3 validation_0-mlogloss:0.650985 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647595 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.648489 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.648072 [51] validation_0-merror:0.3 validation_0-mlogloss:0.649514 [52] validation_0-merror:0.3 validation_0-mlogloss:0.647534 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.651567 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.650569 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.650889 [56] validation_0-merror:0.25 validation_0-mlogloss:0.652702 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.651136 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.647534 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02317 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995737 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.964928 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.94127 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918261 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.9017 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886367 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871101 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858622 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849348 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842698 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830821 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82451 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.813968 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.804428 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801447 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.797561 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.789961 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784672 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.776367 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768398 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765373 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759718 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760008 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754043 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744106 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742754 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739918 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.736122 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.737678 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.737312 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732387 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.728673 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.727994 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.728023 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725852 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.726106 [38] validation_0-merror:0.35 validation_0-mlogloss:0.726113 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.728474 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.726601 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.730191 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725852 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0268 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998088 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975034 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953303 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.930146 [6] validation_0-merror:0.3 validation_0-mlogloss:0.908037 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890958 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.872727 [9] validation_0-merror:0.3 validation_0-mlogloss:0.862775 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.850508 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839245 [12] validation_0-merror:0.3 validation_0-mlogloss:0.828536 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820359 [14] validation_0-merror:0.3 validation_0-mlogloss:0.812421 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806426 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801866 [17] validation_0-merror:0.3 validation_0-mlogloss:0.794192 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.784985 [19] validation_0-merror:0.3 validation_0-mlogloss:0.779746 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770376 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.761457 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755326 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.750229 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.740694 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738641 [26] validation_0-merror:0.3 validation_0-mlogloss:0.731371 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72745 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.720873 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.714381 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.709125 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.707457 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.700822 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700408 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.695308 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.694387 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.688152 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.684386 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.683317 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.681225 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.678544 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677446 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.675934 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.675497 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.674749 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.675592 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672427 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.669915 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667669 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.670479 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.66908 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.669301 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668388 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.669711 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667669 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02218 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986227 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909271 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88971 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853149 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842651 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830703 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816472 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803696 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790413 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781244 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770056 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76272 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760391 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753471 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744745 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738559 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731161 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729366 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.72787 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.721862 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715144 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709788 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.708188 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703017 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696888 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694113 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.692491 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.690421 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.688538 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.686554 [35] validation_0-merror:0.3 validation_0-mlogloss:0.680235 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678538 [37] validation_0-merror:0.3 validation_0-mlogloss:0.676115 [38] validation_0-merror:0.3 validation_0-mlogloss:0.675768 [39] validation_0-merror:0.3 validation_0-mlogloss:0.676583 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673671 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673727 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673302 [43] validation_0-merror:0.3 validation_0-mlogloss:0.67398 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.673878 [45] validation_0-merror:0.3 validation_0-mlogloss:0.67113 [46] validation_0-merror:0.3 validation_0-mlogloss:0.669838 [47] validation_0-merror:0.3 validation_0-mlogloss:0.67142 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.670839 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.672517 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.670975 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.670959 Stopping. Best iteration: [46] validation_0-merror:0.3 validation_0-mlogloss:0.669838 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05674 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02435 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993657 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94356 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921957 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889204 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863351 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851939 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838437 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829885 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822129 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814838 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805002 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.798815 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792823 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786125 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785721 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779135 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774327 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.772607 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767682 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.761791 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.757758 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751913 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.750706 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745952 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.743365 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74201 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.737264 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.736026 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.732593 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.731125 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.727945 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727391 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.723609 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.720419 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.718492 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.71767 [41] validation_0-merror:0.35 validation_0-mlogloss:0.71581 [42] validation_0-merror:0.35 validation_0-mlogloss:0.714834 [43] validation_0-merror:0.35 validation_0-mlogloss:0.714001 [44] validation_0-merror:0.35 validation_0-mlogloss:0.713168 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.712359 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.709711 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.709379 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.709033 [49] validation_0-merror:0.3 validation_0-mlogloss:0.707703 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.708733 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.708841 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.70936 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.712099 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.711099 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.707703 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03172 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973193 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948428 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925296 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904734 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875467 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866637 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.861219 [11] validation_0-merror:0.3 validation_0-mlogloss:0.855125 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.84658 [13] validation_0-merror:0.3 validation_0-mlogloss:0.838525 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.829713 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.821472 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813832 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.802927 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.794111 [19] validation_0-merror:0.3 validation_0-mlogloss:0.790177 [20] validation_0-merror:0.3 validation_0-mlogloss:0.780864 [21] validation_0-merror:0.3 validation_0-mlogloss:0.775369 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.766516 [23] validation_0-merror:0.3 validation_0-mlogloss:0.76159 [24] validation_0-merror:0.3 validation_0-mlogloss:0.752159 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751028 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743736 [27] validation_0-merror:0.3 validation_0-mlogloss:0.740111 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736442 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732672 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730429 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72729 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724517 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719755 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.71677 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.712463 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708291 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.704873 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.703324 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.701481 [40] validation_0-merror:0.3 validation_0-mlogloss:0.700292 [41] validation_0-merror:0.3 validation_0-mlogloss:0.698344 [42] validation_0-merror:0.3 validation_0-mlogloss:0.695416 [43] validation_0-merror:0.3 validation_0-mlogloss:0.693277 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.69302 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.692518 [46] validation_0-merror:0.3 validation_0-mlogloss:0.688885 [47] validation_0-merror:0.3 validation_0-mlogloss:0.688224 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.685658 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.683571 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683288 [51] validation_0-merror:0.3 validation_0-mlogloss:0.685757 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.684082 [53] validation_0-merror:0.3 validation_0-mlogloss:0.682018 [54] validation_0-merror:0.3 validation_0-mlogloss:0.680455 [55] validation_0-merror:0.3 validation_0-mlogloss:0.68184 [56] validation_0-merror:0.3 validation_0-mlogloss:0.683031 [57] validation_0-merror:0.3 validation_0-mlogloss:0.682427 [58] validation_0-merror:0.3 validation_0-mlogloss:0.679519 [59] validation_0-merror:0.3 validation_0-mlogloss:0.678787 [60] validation_0-merror:0.3 validation_0-mlogloss:0.678749 [61] validation_0-merror:0.3 validation_0-mlogloss:0.682854 [62] validation_0-merror:0.3 validation_0-mlogloss:0.684363 [63] validation_0-merror:0.3 validation_0-mlogloss:0.684123 [64] validation_0-merror:0.3 validation_0-mlogloss:0.682257 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.680668 Stopping. Best iteration: [60] validation_0-merror:0.3 validation_0-mlogloss:0.678749 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06381 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02945 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00256 [3] validation_0-merror:0.4 validation_0-mlogloss:0.973673 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952866 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925882 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.909063 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890257 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.872679 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.858094 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845985 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833887 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823138 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813472 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.803495 [15] validation_0-merror:0.35 validation_0-mlogloss:0.795604 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78699 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775316 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771064 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766808 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759611 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754317 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74866 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.741188 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732935 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726988 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720366 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716915 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.714998 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707287 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704494 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.698817 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.696119 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.693087 [34] validation_0-merror:0.3 validation_0-mlogloss:0.69224 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694692 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694155 [37] validation_0-merror:0.3 validation_0-mlogloss:0.690147 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691432 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.689496 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.684828 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.685548 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.682164 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681404 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.683219 [45] validation_0-merror:0.3 validation_0-mlogloss:0.681347 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681407 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678726 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.677945 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.678696 [50] validation_0-merror:0.3 validation_0-mlogloss:0.676334 [51] validation_0-merror:0.3 validation_0-mlogloss:0.68022 [52] validation_0-merror:0.3 validation_0-mlogloss:0.679989 [53] validation_0-merror:0.3 validation_0-mlogloss:0.681927 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.6811 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.680486 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.676334 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02024 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986567 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961473 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934308 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910889 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888173 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.870272 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8535 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.835879 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821232 [11] validation_0-merror:0.3 validation_0-mlogloss:0.807545 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793121 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785504 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780522 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771828 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767434 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75875 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757506 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752888 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750508 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745125 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.743787 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742501 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741494 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.73743 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734785 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.729092 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726741 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.728145 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.729186 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727157 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727259 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72329 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726857 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.730392 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.724073 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.726784 [38] validation_0-merror:0.35 validation_0-mlogloss:0.726212 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72329 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06649 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02828 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994208 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9696 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94695 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921567 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.900247 [7] validation_0-merror:0.25 validation_0-mlogloss:0.882527 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866385 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854686 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.835744 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824328 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81294 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798097 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789784 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784811 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775214 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769669 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760204 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753533 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749644 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744377 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740266 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730821 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727485 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726668 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.725104 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721838 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.717816 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.719743 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713736 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709798 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.70194 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.703505 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700481 [35] validation_0-merror:0.3 validation_0-mlogloss:0.703047 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698775 [37] validation_0-merror:0.3 validation_0-mlogloss:0.696126 [38] validation_0-merror:0.3 validation_0-mlogloss:0.692277 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.691972 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694534 [41] validation_0-merror:0.3 validation_0-mlogloss:0.689254 [42] validation_0-merror:0.3 validation_0-mlogloss:0.689706 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.68676 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.683787 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.681824 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.685455 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.68205 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.678747 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.680001 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.679882 [51] validation_0-merror:0.3 validation_0-mlogloss:0.678981 [52] validation_0-merror:0.3 validation_0-mlogloss:0.674073 [53] validation_0-merror:0.3 validation_0-mlogloss:0.6751 [54] validation_0-merror:0.3 validation_0-mlogloss:0.68058 [55] validation_0-merror:0.3 validation_0-mlogloss:0.678552 [56] validation_0-merror:0.3 validation_0-mlogloss:0.677351 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.676415 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.674073 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02047 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995754 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962628 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94353 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925841 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.9091 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88869 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873153 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857855 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846938 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833714 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821698 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815196 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800435 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787067 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779196 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771552 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766599 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762811 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755558 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749301 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740774 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.735518 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.73165 [25] validation_0-merror:0.3 validation_0-mlogloss:0.721568 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.71596 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714567 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715108 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709066 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.703108 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.701079 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.693982 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.691657 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.688113 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683696 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.682272 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.683595 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.684288 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.684229 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683782 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.679665 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678959 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679157 [44] validation_0-merror:0.3 validation_0-mlogloss:0.675325 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673584 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671973 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666362 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661979 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.663588 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.663531 [51] validation_0-merror:0.25 validation_0-mlogloss:0.664401 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.66241 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.664464 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.661979 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05671 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02381 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996379 [3] validation_0-merror:0.4 validation_0-mlogloss:0.968896 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945863 [5] validation_0-merror:0.4 validation_0-mlogloss:0.922445 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906056 [7] validation_0-merror:0.3 validation_0-mlogloss:0.888813 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.873046 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860822 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.851558 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.845725 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.833879 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826333 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815376 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805642 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800006 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.795111 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788805 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781961 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774452 [21] validation_0-merror:0.35 validation_0-mlogloss:0.766526 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760517 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755703 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75554 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749634 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740499 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737875 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.734884 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.733111 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734045 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732792 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727922 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72422 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.722382 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721836 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.719148 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.72235 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721487 [39] validation_0-merror:0.35 validation_0-mlogloss:0.724416 [40] validation_0-merror:0.35 validation_0-mlogloss:0.722979 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.724817 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.719148 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02691 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998191 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975112 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953477 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932775 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912037 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895964 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876358 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866273 [10] validation_0-merror:0.35 validation_0-mlogloss:0.853513 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841796 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831096 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.825527 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818618 [15] validation_0-merror:0.35 validation_0-mlogloss:0.812053 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805984 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798903 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791531 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.789006 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.783527 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776811 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770576 [23] validation_0-merror:0.3 validation_0-mlogloss:0.761563 [24] validation_0-merror:0.3 validation_0-mlogloss:0.753096 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751201 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743543 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739522 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732331 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727619 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724528 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719109 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.712288 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.712234 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.709963 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.708978 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.701557 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696789 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695083 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.69328 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.689185 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689471 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.687836 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686866 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.687435 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.685599 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684598 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.681853 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679008 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.680731 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.679349 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.679221 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.679644 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.680932 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679008 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05867 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02302 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989497 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959657 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935418 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912516 [6] validation_0-merror:0.35 validation_0-mlogloss:0.891843 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873398 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857465 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846788 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834717 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820751 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.808764 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796068 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786779 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777116 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767519 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759293 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753659 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.746307 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.741695 [21] validation_0-merror:0.35 validation_0-mlogloss:0.734405 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732585 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730486 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728883 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719155 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.71731 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714106 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709122 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698325 [31] validation_0-merror:0.3 validation_0-mlogloss:0.696663 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692554 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686748 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683957 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679388 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.677278 [37] validation_0-merror:0.3 validation_0-mlogloss:0.673276 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672528 [39] validation_0-merror:0.3 validation_0-mlogloss:0.671352 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671595 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673944 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673336 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675446 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676027 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.671352 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05705 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02725 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996394 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970504 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943641 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922253 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903917 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863664 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852815 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842987 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829957 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822606 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.815651 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806027 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798424 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793389 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787498 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784101 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777342 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771959 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764641 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760921 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.756575 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.754691 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748883 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.746855 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.743923 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.741082 [30] validation_0-merror:0.35 validation_0-mlogloss:0.740677 [31] validation_0-merror:0.35 validation_0-mlogloss:0.739129 [32] validation_0-merror:0.35 validation_0-mlogloss:0.740345 [33] validation_0-merror:0.35 validation_0-mlogloss:0.739339 [34] validation_0-merror:0.35 validation_0-mlogloss:0.739771 [35] validation_0-merror:0.35 validation_0-mlogloss:0.738324 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738892 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738213 [38] validation_0-merror:0.35 validation_0-mlogloss:0.736508 [39] validation_0-merror:0.35 validation_0-mlogloss:0.73257 [40] validation_0-merror:0.35 validation_0-mlogloss:0.735818 [41] validation_0-merror:0.35 validation_0-mlogloss:0.735418 [42] validation_0-merror:0.35 validation_0-mlogloss:0.734904 [43] validation_0-merror:0.35 validation_0-mlogloss:0.735618 [44] validation_0-merror:0.35 validation_0-mlogloss:0.734952 Stopping. Best iteration: [39] validation_0-merror:0.35 validation_0-mlogloss:0.73257 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971687 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949147 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926288 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906025 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897354 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.867092 [10] validation_0-merror:0.35 validation_0-mlogloss:0.861916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854594 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.84827 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839723 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.830579 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.822832 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80928 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.800111 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788767 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783381 [20] validation_0-merror:0.3 validation_0-mlogloss:0.779538 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.770167 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762126 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.754039 [24] validation_0-merror:0.3 validation_0-mlogloss:0.74599 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742638 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.738177 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73657 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73279 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724964 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724824 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719783 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.715766 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711105 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706699 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701957 [36] validation_0-merror:0.3 validation_0-mlogloss:0.700264 [37] validation_0-merror:0.3 validation_0-mlogloss:0.697712 [38] validation_0-merror:0.3 validation_0-mlogloss:0.694657 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692249 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689349 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688561 [42] validation_0-merror:0.3 validation_0-mlogloss:0.686037 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684631 [44] validation_0-merror:0.3 validation_0-mlogloss:0.68312 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.680026 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678682 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677579 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67606 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.674357 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.673721 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.670862 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.670396 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.669595 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.668471 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.669949 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.668866 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667927 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.66555 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.666771 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.66475 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.663738 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.662644 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.662237 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.661477 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.663259 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.664379 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.663748 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.664124 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.664291 Stopping. Best iteration: [64] validation_0-merror:0.266667 validation_0-mlogloss:0.661477 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06586 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03794 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00958 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97925 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912377 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894361 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876652 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861531 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84937 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837884 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827083 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817181 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807158 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796098 [16] validation_0-merror:0.3 validation_0-mlogloss:0.786344 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776099 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.771758 [19] validation_0-merror:0.3 validation_0-mlogloss:0.76715 [20] validation_0-merror:0.3 validation_0-mlogloss:0.75838 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751871 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745727 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738618 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729386 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728666 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.724575 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721783 [28] validation_0-merror:0.3 validation_0-mlogloss:0.717789 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711486 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704782 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701918 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702778 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701642 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70391 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702613 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701546 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701766 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69999 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697793 [41] validation_0-merror:0.3 validation_0-mlogloss:0.696139 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.6934 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69333 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695028 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.692525 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694693 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692574 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691598 [49] validation_0-merror:0.3 validation_0-mlogloss:0.695092 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693227 [51] validation_0-merror:0.3 validation_0-mlogloss:0.696141 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.694974 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.696672 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.691598 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987031 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.96022 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932139 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.911389 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.890669 [7] validation_0-merror:0.35 validation_0-mlogloss:0.872865 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855305 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838742 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823702 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811277 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799423 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790891 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786157 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777413 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772624 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.766662 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765377 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758864 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754841 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749257 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748924 [23] validation_0-merror:0.35 validation_0-mlogloss:0.746326 [24] validation_0-merror:0.35 validation_0-mlogloss:0.748307 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743285 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739744 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734125 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730992 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.730978 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.730617 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727652 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727726 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724338 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728331 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731821 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725672 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728694 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728399 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724338 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06617 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02796 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994569 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949225 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92622 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.903872 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.87136 [9] validation_0-merror:0.3 validation_0-mlogloss:0.859379 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840754 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829014 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817506 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80225 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79236 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790747 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783252 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776314 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767582 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761308 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757934 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753662 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749549 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737421 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73486 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.735315 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.734956 [27] validation_0-merror:0.35 validation_0-mlogloss:0.733287 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.729976 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.733191 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.726492 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.721628 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.716917 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.719894 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.716782 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721577 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717705 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.715708 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.711653 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.714669 [40] validation_0-merror:0.35 validation_0-mlogloss:0.712606 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709092 [42] validation_0-merror:0.35 validation_0-mlogloss:0.709825 [43] validation_0-merror:0.35 validation_0-mlogloss:0.705656 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70266 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.699279 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.703081 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.700518 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.697049 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.699666 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.698951 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.6972 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.692541 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.694387 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.702978 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.701739 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.701069 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.7011 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.692541 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0559 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02377 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965322 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.945261 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926622 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90522 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87519 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859965 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847652 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834092 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824472 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816571 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802493 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788504 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780791 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773435 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770087 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76788 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760326 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754618 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746226 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740547 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736362 [25] validation_0-merror:0.3 validation_0-mlogloss:0.730188 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725447 [27] validation_0-merror:0.3 validation_0-mlogloss:0.723498 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722426 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.718762 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713757 [31] validation_0-merror:0.3 validation_0-mlogloss:0.709202 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702828 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698397 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.696177 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692702 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.689406 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.682659 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683594 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.680315 [40] validation_0-merror:0.3 validation_0-mlogloss:0.681385 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675376 [42] validation_0-merror:0.3 validation_0-mlogloss:0.674823 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.674994 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.673799 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672309 [46] validation_0-merror:0.3 validation_0-mlogloss:0.670446 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66504 [48] validation_0-merror:0.3 validation_0-mlogloss:0.661806 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662572 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.662243 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661944 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656284 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660002 [54] validation_0-merror:0.3 validation_0-mlogloss:0.659644 [55] validation_0-merror:0.3 validation_0-mlogloss:0.657035 [56] validation_0-merror:0.3 validation_0-mlogloss:0.659723 [57] validation_0-merror:0.3 validation_0-mlogloss:0.658238 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.656284 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05524 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02037 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991646 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962771 [4] validation_0-merror:0.35 validation_0-mlogloss:0.938572 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916276 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900229 [7] validation_0-merror:0.3 validation_0-mlogloss:0.882896 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.866101 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.854786 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847857 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842585 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830903 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824435 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.813681 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804005 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801159 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794437 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786945 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779429 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768647 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761442 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.757612 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758173 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758172 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75257 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745486 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.743011 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.740478 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738741 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.740333 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.739443 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736396 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.732399 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731423 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.730774 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.727547 [37] validation_0-merror:0.35 validation_0-mlogloss:0.728353 [38] validation_0-merror:0.35 validation_0-mlogloss:0.727685 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.729934 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.728346 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.729636 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.727547 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06405 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02797 [2] validation_0-merror:0.4 validation_0-mlogloss:0.99926 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976212 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954598 [5] validation_0-merror:0.35 validation_0-mlogloss:0.933591 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.911607 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895571 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876654 [9] validation_0-merror:0.35 validation_0-mlogloss:0.866536 [10] validation_0-merror:0.35 validation_0-mlogloss:0.854291 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831282 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.82469 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.816649 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809518 [16] validation_0-merror:0.35 validation_0-mlogloss:0.80547 [17] validation_0-merror:0.3 validation_0-mlogloss:0.797791 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790352 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787924 [20] validation_0-merror:0.3 validation_0-mlogloss:0.781707 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.773631 [22] validation_0-merror:0.3 validation_0-mlogloss:0.765461 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75531 [24] validation_0-merror:0.3 validation_0-mlogloss:0.750269 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748389 [26] validation_0-merror:0.3 validation_0-mlogloss:0.740681 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738082 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731211 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726345 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.725052 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719568 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711585 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.711021 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.704352 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.702316 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702397 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.697947 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.696946 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.696289 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690331 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689757 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.685752 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.687495 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.687166 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.686003 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684146 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.682447 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.683486 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.683896 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683004 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.68326 [52] validation_0-merror:0.3 validation_0-mlogloss:0.680822 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.680583 [54] validation_0-merror:0.3 validation_0-mlogloss:0.682785 [55] validation_0-merror:0.3 validation_0-mlogloss:0.681685 [56] validation_0-merror:0.3 validation_0-mlogloss:0.675777 [57] validation_0-merror:0.3 validation_0-mlogloss:0.676246 [58] validation_0-merror:0.3 validation_0-mlogloss:0.675896 [59] validation_0-merror:0.3 validation_0-mlogloss:0.674733 [60] validation_0-merror:0.3 validation_0-mlogloss:0.675971 [61] validation_0-merror:0.3 validation_0-mlogloss:0.677512 [62] validation_0-merror:0.3 validation_0-mlogloss:0.680727 [63] validation_0-merror:0.3 validation_0-mlogloss:0.681967 [64] validation_0-merror:0.3 validation_0-mlogloss:0.681692 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.674733 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00118 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971155 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.948816 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889292 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87342 [9] validation_0-merror:0.35 validation_0-mlogloss:0.86195 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84991 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837434 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825099 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803632 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792411 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784725 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779658 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771629 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762989 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749201 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74618 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743335 [25] validation_0-merror:0.35 validation_0-mlogloss:0.735731 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732361 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728772 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725916 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72047 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718481 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71569 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.715735 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711574 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710679 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709742 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.709292 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.705066 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.70474 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704544 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704479 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.70592 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702454 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703317 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702638 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.702148 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.699501 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.700511 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.697857 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.695726 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.691852 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.694629 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.693595 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.692935 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.691269 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.690795 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690704 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.688578 [58] validation_0-merror:0.3 validation_0-mlogloss:0.688653 [59] validation_0-merror:0.3 validation_0-mlogloss:0.69064 [60] validation_0-merror:0.3 validation_0-mlogloss:0.688521 [61] validation_0-merror:0.3 validation_0-mlogloss:0.687738 [62] validation_0-merror:0.3 validation_0-mlogloss:0.684653 [63] validation_0-merror:0.3 validation_0-mlogloss:0.684809 [64] validation_0-merror:0.3 validation_0-mlogloss:0.682651 [65] validation_0-merror:0.3 validation_0-mlogloss:0.683748 [66] validation_0-merror:0.3 validation_0-mlogloss:0.68211 [67] validation_0-merror:0.3 validation_0-mlogloss:0.683165 [68] validation_0-merror:0.3 validation_0-mlogloss:0.68232 [69] validation_0-merror:0.3 validation_0-mlogloss:0.680709 [70] validation_0-merror:0.3 validation_0-mlogloss:0.679275 [71] validation_0-merror:0.3 validation_0-mlogloss:0.678757 [72] validation_0-merror:0.3 validation_0-mlogloss:0.679093 [73] validation_0-merror:0.3 validation_0-mlogloss:0.681408 [74] validation_0-merror:0.3 validation_0-mlogloss:0.681722 [75] validation_0-merror:0.3 validation_0-mlogloss:0.68187 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.680106 Stopping. Best iteration: [71] validation_0-merror:0.3 validation_0-mlogloss:0.678757 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99829 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969273 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945041 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927552 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910476 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898388 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885459 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875614 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.865245 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854567 [12] validation_0-merror:0.4 validation_0-mlogloss:0.841016 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.831373 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821451 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812326 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803775 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.799408 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.79387 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789327 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781954 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778444 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770748 [23] validation_0-merror:0.35 validation_0-mlogloss:0.769151 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764092 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761433 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759157 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75667 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754885 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751694 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749319 [31] validation_0-merror:0.35 validation_0-mlogloss:0.746997 [32] validation_0-merror:0.35 validation_0-mlogloss:0.744405 [33] validation_0-merror:0.35 validation_0-mlogloss:0.744618 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743433 [35] validation_0-merror:0.35 validation_0-mlogloss:0.741559 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742555 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738039 [38] validation_0-merror:0.35 validation_0-mlogloss:0.735632 [39] validation_0-merror:0.35 validation_0-mlogloss:0.733218 [40] validation_0-merror:0.35 validation_0-mlogloss:0.733252 [41] validation_0-merror:0.35 validation_0-mlogloss:0.733459 [42] validation_0-merror:0.35 validation_0-mlogloss:0.73395 [43] validation_0-merror:0.35 validation_0-mlogloss:0.735745 [44] validation_0-merror:0.35 validation_0-mlogloss:0.73684 Stopping. Best iteration: [39] validation_0-merror:0.35 validation_0-mlogloss:0.733218 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971589 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948869 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926473 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867455 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862827 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.85701 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847907 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.839297 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.826326 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.817749 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803161 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794891 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788027 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778926 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772487 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762982 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.759601 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75305 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745517 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740503 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735307 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732288 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726912 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720253 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719754 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.714164 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711252 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.707682 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.7052 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700531 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696272 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694753 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.691393 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.688876 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.684875 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680367 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680377 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680107 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680429 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.676812 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.676237 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.67747 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67732 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677888 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678082 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.677057 Stopping. Best iteration: [46] validation_0-merror:0.266667 validation_0-mlogloss:0.676237 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05848 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03262 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973702 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954976 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915603 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898774 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.881025 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863335 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851413 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839477 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828178 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818582 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808157 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798559 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.789253 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.77789 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.772054 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.76698 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.760954 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.755432 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750389 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.744009 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.734465 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.733799 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729877 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.727622 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.720573 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.714658 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.711446 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.706072 [32] validation_0-merror:0.25 validation_0-mlogloss:0.7039 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.704517 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.702278 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700931 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.698151 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.698172 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698664 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697015 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694546 [41] validation_0-merror:0.3 validation_0-mlogloss:0.694118 [42] validation_0-merror:0.3 validation_0-mlogloss:0.693538 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.692789 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.694657 [45] validation_0-merror:0.3 validation_0-mlogloss:0.691017 [46] validation_0-merror:0.3 validation_0-mlogloss:0.693033 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.689225 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.687488 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.689798 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.686706 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.688646 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.686481 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.687264 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.688049 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685453 [56] validation_0-merror:0.3 validation_0-mlogloss:0.687152 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.68608 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.687109 [59] validation_0-merror:0.3 validation_0-mlogloss:0.687408 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.686985 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685453 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0575 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02225 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98976 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962656 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934871 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915271 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893942 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.873107 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855488 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838387 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823319 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810922 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799041 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791182 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.788342 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780544 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.775407 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.770021 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.768582 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.761831 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759068 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753577 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.753424 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.753017 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752856 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.748513 [26] validation_0-merror:0.35 validation_0-mlogloss:0.745169 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.739772 [28] validation_0-merror:0.35 validation_0-mlogloss:0.735473 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.735312 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.736186 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732902 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.732135 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.730786 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.733394 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734354 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.73315 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.737729 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.735554 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.730786 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02809 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.99563 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973685 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950613 [5] validation_0-merror:0.3 validation_0-mlogloss:0.927364 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.905467 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887548 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871235 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858823 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.840139 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82898 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817586 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.802238 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791968 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788672 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781106 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773665 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765263 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759898 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756343 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75018 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750112 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.745494 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745577 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746101 [26] validation_0-merror:0.35 validation_0-mlogloss:0.744211 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739159 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.738327 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740909 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.737201 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73401 [32] validation_0-merror:0.35 validation_0-mlogloss:0.729005 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.730434 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.72664 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728922 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728861 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726834 [38] validation_0-merror:0.35 validation_0-mlogloss:0.7236 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.727139 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.72708 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.723521 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.723668 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718807 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.7158 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.710858 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.713792 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.712879 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.711282 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.714065 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.709652 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.708896 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.704273 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.705884 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.714036 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.714065 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.713762 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.713709 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.704273 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05582 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965521 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943955 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882451 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852006 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839394 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825836 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815939 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809792 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795383 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781021 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772485 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76518 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759683 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758893 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.7515 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746268 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736339 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729159 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724967 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718739 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712602 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.711817 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710605 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708832 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704942 [31] validation_0-merror:0.3 validation_0-mlogloss:0.700045 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691419 [33] validation_0-merror:0.3 validation_0-mlogloss:0.689062 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686854 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682951 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.680737 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6771 [38] validation_0-merror:0.3 validation_0-mlogloss:0.678127 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.67301 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673074 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.669505 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.667806 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668898 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.668089 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.66883 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.667587 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.662095 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660207 [49] validation_0-merror:0.3 validation_0-mlogloss:0.658947 [50] validation_0-merror:0.3 validation_0-mlogloss:0.658593 [51] validation_0-merror:0.3 validation_0-mlogloss:0.658751 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656848 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660024 [54] validation_0-merror:0.3 validation_0-mlogloss:0.66016 [55] validation_0-merror:0.3 validation_0-mlogloss:0.657544 [56] validation_0-merror:0.3 validation_0-mlogloss:0.66063 [57] validation_0-merror:0.3 validation_0-mlogloss:0.659573 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.656848 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02394 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996354 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967445 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.944089 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922056 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90547 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88792 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870896 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852236 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844283 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.8379 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826424 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820545 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810681 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802726 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798938 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793157 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786537 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.781946 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771598 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769048 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761976 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7572 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758451 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751916 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744877 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743954 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7399 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739768 [30] validation_0-merror:0.35 validation_0-mlogloss:0.738991 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737369 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736258 [33] validation_0-merror:0.35 validation_0-mlogloss:0.733886 [34] validation_0-merror:0.35 validation_0-mlogloss:0.732719 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731826 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.728224 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.729199 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.728467 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.731097 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.729128 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.730125 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.728224 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02956 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00085 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97775 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956649 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935587 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913474 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898758 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868878 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856627 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845175 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834391 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828499 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820393 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814187 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807177 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.79878 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790505 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788095 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78434 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783352 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775629 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765039 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761674 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755484 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748029 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74498 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736768 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733925 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734127 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.731452 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724789 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725846 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.719153 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.718522 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715883 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.711694 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.709851 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.709331 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703598 [41] validation_0-merror:0.3 validation_0-mlogloss:0.70269 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.700309 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703124 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.703303 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698729 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697438 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.695739 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.695534 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698552 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.697743 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.696398 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.695451 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.69695 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.699644 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.694188 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689145 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.688155 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.688407 [59] validation_0-merror:0.3 validation_0-mlogloss:0.689218 [60] validation_0-merror:0.3 validation_0-mlogloss:0.691557 [61] validation_0-merror:0.3 validation_0-mlogloss:0.693805 [62] validation_0-merror:0.3 validation_0-mlogloss:0.696332 Stopping. Best iteration: [57] validation_0-merror:0.333333 validation_0-mlogloss:0.688155 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0627 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03085 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999969 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970718 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949097 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927243 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906346 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889457 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873039 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861454 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849227 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838132 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826703 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813281 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804202 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794257 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785364 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778586 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772994 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766177 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759531 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753947 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750761 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748104 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745229 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738165 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.734719 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732139 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729217 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724231 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721639 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721223 [32] validation_0-merror:0.3 validation_0-mlogloss:0.719691 [33] validation_0-merror:0.3 validation_0-mlogloss:0.719416 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721431 [35] validation_0-merror:0.3 validation_0-mlogloss:0.719617 [36] validation_0-merror:0.3 validation_0-mlogloss:0.718301 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.71619 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715957 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.71621 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.716289 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.715463 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.715259 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.715416 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.71032 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.708676 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.708033 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.705525 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.704825 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.702405 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.699739 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.701743 [52] validation_0-merror:0.3 validation_0-mlogloss:0.699077 [53] validation_0-merror:0.3 validation_0-mlogloss:0.699717 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.698934 [55] validation_0-merror:0.3 validation_0-mlogloss:0.698024 [56] validation_0-merror:0.3 validation_0-mlogloss:0.697606 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.697062 [58] validation_0-merror:0.3 validation_0-mlogloss:0.695118 [59] validation_0-merror:0.3 validation_0-mlogloss:0.697815 [60] validation_0-merror:0.3 validation_0-mlogloss:0.69703 [61] validation_0-merror:0.3 validation_0-mlogloss:0.69618 [62] validation_0-merror:0.3 validation_0-mlogloss:0.695987 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.69671 Stopping. Best iteration: [58] validation_0-merror:0.3 validation_0-mlogloss:0.695118 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05715 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02739 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994041 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965801 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938375 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918972 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900039 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886607 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873876 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863635 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.85328 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843123 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.831054 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822182 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815613 [15] validation_0-merror:0.35 validation_0-mlogloss:0.807352 [16] validation_0-merror:0.35 validation_0-mlogloss:0.800991 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793982 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787607 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783759 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777269 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.775487 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771345 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.768946 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763392 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.760019 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757581 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758197 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755542 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.753664 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750827 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751725 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747007 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747882 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.746062 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.743531 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.740598 [37] validation_0-merror:0.35 validation_0-mlogloss:0.735992 [38] validation_0-merror:0.35 validation_0-mlogloss:0.733898 [39] validation_0-merror:0.35 validation_0-mlogloss:0.733644 [40] validation_0-merror:0.35 validation_0-mlogloss:0.73349 [41] validation_0-merror:0.35 validation_0-mlogloss:0.732618 [42] validation_0-merror:0.35 validation_0-mlogloss:0.733047 [43] validation_0-merror:0.35 validation_0-mlogloss:0.731658 [44] validation_0-merror:0.35 validation_0-mlogloss:0.733152 [45] validation_0-merror:0.35 validation_0-mlogloss:0.736459 [46] validation_0-merror:0.35 validation_0-mlogloss:0.735677 [47] validation_0-merror:0.35 validation_0-mlogloss:0.736 [48] validation_0-merror:0.35 validation_0-mlogloss:0.737189 Stopping. Best iteration: [43] validation_0-merror:0.35 validation_0-mlogloss:0.731658 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0343 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974659 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.951715 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925813 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905415 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895721 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875479 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865712 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.860665 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.854625 [12] validation_0-merror:0.35 validation_0-mlogloss:0.849245 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.841787 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.82861 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819865 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808384 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797554 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790161 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78143 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777795 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.769583 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765128 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757952 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749297 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741804 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.741598 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.738873 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.734999 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.730106 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.727272 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.725265 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.720115 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714668 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710496 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705399 [36] validation_0-merror:0.3 validation_0-mlogloss:0.704337 [37] validation_0-merror:0.3 validation_0-mlogloss:0.702372 [38] validation_0-merror:0.3 validation_0-mlogloss:0.699545 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695221 [40] validation_0-merror:0.3 validation_0-mlogloss:0.693601 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691881 [42] validation_0-merror:0.3 validation_0-mlogloss:0.693306 [43] validation_0-merror:0.3 validation_0-mlogloss:0.691578 [44] validation_0-merror:0.3 validation_0-mlogloss:0.690558 [45] validation_0-merror:0.3 validation_0-mlogloss:0.687164 [46] validation_0-merror:0.3 validation_0-mlogloss:0.687329 [47] validation_0-merror:0.3 validation_0-mlogloss:0.685332 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682599 [49] validation_0-merror:0.3 validation_0-mlogloss:0.680476 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67937 [51] validation_0-merror:0.3 validation_0-mlogloss:0.678262 [52] validation_0-merror:0.3 validation_0-mlogloss:0.675228 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.673533 [54] validation_0-merror:0.3 validation_0-mlogloss:0.672703 [55] validation_0-merror:0.3 validation_0-mlogloss:0.670659 [56] validation_0-merror:0.3 validation_0-mlogloss:0.6708 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.670999 [58] validation_0-merror:0.3 validation_0-mlogloss:0.670149 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.672272 [60] validation_0-merror:0.25 validation_0-mlogloss:0.675141 [61] validation_0-merror:0.25 validation_0-mlogloss:0.674227 [62] validation_0-merror:0.25 validation_0-mlogloss:0.676325 [63] validation_0-merror:0.25 validation_0-mlogloss:0.67731 Stopping. Best iteration: [58] validation_0-merror:0.3 validation_0-mlogloss:0.670149 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06121 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02165 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.993417 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956161 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937086 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910003 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891883 [7] validation_0-merror:0.3 validation_0-mlogloss:0.873697 [8] validation_0-merror:0.3 validation_0-mlogloss:0.855557 [9] validation_0-merror:0.3 validation_0-mlogloss:0.838224 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826489 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811916 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798857 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791587 [14] validation_0-merror:0.3 validation_0-mlogloss:0.77937 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769545 [16] validation_0-merror:0.3 validation_0-mlogloss:0.757656 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.751571 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.744996 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741436 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732117 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.727132 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.714036 [23] validation_0-merror:0.3 validation_0-mlogloss:0.706239 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.697624 [25] validation_0-merror:0.3 validation_0-mlogloss:0.693208 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.688181 [27] validation_0-merror:0.3 validation_0-mlogloss:0.691552 [28] validation_0-merror:0.3 validation_0-mlogloss:0.68872 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.679957 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.673403 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.670962 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.668054 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.665296 [34] validation_0-merror:0.3 validation_0-mlogloss:0.67005 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67443 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.674608 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668821 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667557 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.665296 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985451 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959512 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92417 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902637 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.875355 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857989 [8] validation_0-merror:0.35 validation_0-mlogloss:0.835242 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.819735 [10] validation_0-merror:0.35 validation_0-mlogloss:0.808154 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.797017 [12] validation_0-merror:0.35 validation_0-mlogloss:0.788048 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.777864 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.773818 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.764344 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763091 [17] validation_0-merror:0.35 validation_0-mlogloss:0.755649 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753618 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756415 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755772 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756671 [22] validation_0-merror:0.35 validation_0-mlogloss:0.758973 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.756246 Stopping. Best iteration: [18] validation_0-merror:0.35 validation_0-mlogloss:0.753618 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05254 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01381 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975918 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956551 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927571 [5] validation_0-merror:0.35 validation_0-mlogloss:0.91283 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895212 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882153 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866483 [9] validation_0-merror:0.35 validation_0-mlogloss:0.853795 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837259 [11] validation_0-merror:0.35 validation_0-mlogloss:0.825813 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.810973 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797728 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784283 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786931 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779013 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777183 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768081 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762476 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762679 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763025 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762601 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755084 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.7574 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760644 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758738 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.758969 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.757595 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755084 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04541 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00994 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978839 [3] validation_0-merror:0.3 validation_0-mlogloss:0.942614 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.921246 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.89222 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.869119 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849286 [8] validation_0-merror:0.3 validation_0-mlogloss:0.830061 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.81162 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.799525 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.784699 [12] validation_0-merror:0.35 validation_0-mlogloss:0.773025 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.759957 [14] validation_0-merror:0.35 validation_0-mlogloss:0.751979 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.739769 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.72992 [17] validation_0-merror:0.3 validation_0-mlogloss:0.721534 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.718499 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.716458 [20] validation_0-merror:0.3 validation_0-mlogloss:0.709806 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.70564 [22] validation_0-merror:0.3 validation_0-mlogloss:0.698287 [23] validation_0-merror:0.3 validation_0-mlogloss:0.697043 [24] validation_0-merror:0.3 validation_0-mlogloss:0.693858 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.693843 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.688023 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.688515 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.686411 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.687377 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.681387 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.680215 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.676565 [33] validation_0-merror:0.3 validation_0-mlogloss:0.676184 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678431 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679672 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678746 [37] validation_0-merror:0.3 validation_0-mlogloss:0.681894 [38] validation_0-merror:0.3 validation_0-mlogloss:0.681197 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.676184 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00838 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976354 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942897 [4] validation_0-merror:0.3 validation_0-mlogloss:0.916344 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887389 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.867337 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.848347 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.82419 [9] validation_0-merror:0.3 validation_0-mlogloss:0.811029 [10] validation_0-merror:0.3 validation_0-mlogloss:0.803124 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.799737 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.791555 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786045 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.777633 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770467 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76683 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.760269 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75511 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750466 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744762 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744937 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741169 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74648 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742512 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740444 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740164 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740795 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.739151 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738818 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743926 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743013 [33] validation_0-merror:0.35 validation_0-mlogloss:0.739047 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.739183 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738536 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74175 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.743638 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.747853 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.756098 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.757919 Stopping. Best iteration: [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738536 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05149 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0137 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981471 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962592 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936281 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916223 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900423 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.888913 [8] validation_0-merror:0.3 validation_0-mlogloss:0.86569 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854966 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849211 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83402 [12] validation_0-merror:0.3 validation_0-mlogloss:0.82162 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.810091 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797663 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790782 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788356 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777688 [18] validation_0-merror:0.3 validation_0-mlogloss:0.771289 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765409 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760772 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761068 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754173 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750666 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746571 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748117 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.748193 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747585 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744717 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73914 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737259 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736261 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.734801 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738081 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.733477 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736832 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.731347 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.732082 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.732959 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.731014 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.725849 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.726523 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.726617 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.727333 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731757 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.732525 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.725849 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04996 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00773 [2] validation_0-merror:0.3 validation_0-mlogloss:0.973403 [3] validation_0-merror:0.3 validation_0-mlogloss:0.939204 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.910951 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.883595 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.860177 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.835148 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.817576 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.800751 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.787192 [11] validation_0-merror:0.3 validation_0-mlogloss:0.774599 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.760387 [13] validation_0-merror:0.25 validation_0-mlogloss:0.747585 [14] validation_0-merror:0.25 validation_0-mlogloss:0.738294 [15] validation_0-merror:0.25 validation_0-mlogloss:0.729442 [16] validation_0-merror:0.25 validation_0-mlogloss:0.723219 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.72004 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.715557 [19] validation_0-merror:0.25 validation_0-mlogloss:0.712057 [20] validation_0-merror:0.25 validation_0-mlogloss:0.70726 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.702339 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.700844 [23] validation_0-merror:0.25 validation_0-mlogloss:0.696905 [24] validation_0-merror:0.25 validation_0-mlogloss:0.693301 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.686913 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.68438 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.680043 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.680473 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.674696 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.671838 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.669771 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.666052 [33] validation_0-merror:0.25 validation_0-mlogloss:0.668132 [34] validation_0-merror:0.25 validation_0-mlogloss:0.666542 [35] validation_0-merror:0.25 validation_0-mlogloss:0.664105 [36] validation_0-merror:0.25 validation_0-mlogloss:0.663995 [37] validation_0-merror:0.25 validation_0-mlogloss:0.666083 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.66534 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.663941 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.662907 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.661919 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.66131 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.662139 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.662093 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.661214 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.66016 [47] validation_0-merror:0.25 validation_0-mlogloss:0.660887 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.665191 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.666021 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.664707 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.665722 Stopping. Best iteration: [46] validation_0-merror:0.266667 validation_0-mlogloss:0.66016 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05323 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02018 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982807 [3] validation_0-merror:0.35 validation_0-mlogloss:0.955643 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925013 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902672 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88525 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866076 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.850976 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.840406 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.830893 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.818338 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808817 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801209 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795784 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.788656 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.780581 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.77318 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.77374 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773524 [20] validation_0-merror:0.3 validation_0-mlogloss:0.774678 [21] validation_0-merror:0.3 validation_0-mlogloss:0.775466 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.777342 Stopping. Best iteration: [17] validation_0-merror:0.283333 validation_0-mlogloss:0.77318 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05901 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0161 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978504 [3] validation_0-merror:0.3 validation_0-mlogloss:0.951832 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.917458 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89284 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870231 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855641 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840487 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83114 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823787 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824679 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817939 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810937 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804346 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796471 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.790639 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.782676 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.782688 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782531 [20] validation_0-merror:0.3 validation_0-mlogloss:0.784384 [21] validation_0-merror:0.3 validation_0-mlogloss:0.78323 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.788584 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.786573 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.779797 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778532 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781035 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.784582 [28] validation_0-merror:0.35 validation_0-mlogloss:0.784415 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.778774 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.781907 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778532 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01143 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982976 [3] validation_0-merror:0.4 validation_0-mlogloss:0.948441 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927211 [5] validation_0-merror:0.3 validation_0-mlogloss:0.902152 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.88542 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.864718 [8] validation_0-merror:0.3 validation_0-mlogloss:0.84573 [9] validation_0-merror:0.3 validation_0-mlogloss:0.830405 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822899 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809435 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799301 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792851 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.780649 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770574 [16] validation_0-merror:0.35 validation_0-mlogloss:0.763787 [17] validation_0-merror:0.35 validation_0-mlogloss:0.753928 [18] validation_0-merror:0.35 validation_0-mlogloss:0.751723 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748846 [20] validation_0-merror:0.35 validation_0-mlogloss:0.737219 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.733319 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.723031 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.713616 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.705953 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.701305 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.694034 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697949 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.698568 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.690692 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686719 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.68415 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.678068 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.676127 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.67824 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679489 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.678371 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.675476 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.677123 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676247 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.678744 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.677796 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.673062 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668842 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.669704 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.670443 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672021 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.667397 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667321 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.673756 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.673114 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.676063 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.674729 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.678392 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.667321 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05809 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02456 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988974 [3] validation_0-merror:0.35 validation_0-mlogloss:0.960667 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.926341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902771 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879283 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8613 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840471 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.822135 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808999 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.797092 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.785736 [13] validation_0-merror:0.35 validation_0-mlogloss:0.777427 [14] validation_0-merror:0.35 validation_0-mlogloss:0.776605 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.765621 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.764788 [17] validation_0-merror:0.35 validation_0-mlogloss:0.758532 [18] validation_0-merror:0.35 validation_0-mlogloss:0.759016 [19] validation_0-merror:0.35 validation_0-mlogloss:0.7583 [20] validation_0-merror:0.35 validation_0-mlogloss:0.761026 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760885 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761824 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.76305 [24] validation_0-merror:0.35 validation_0-mlogloss:0.763084 Stopping. Best iteration: [19] validation_0-merror:0.35 validation_0-mlogloss:0.7583 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01785 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.980795 [3] validation_0-merror:0.3 validation_0-mlogloss:0.965072 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938 [5] validation_0-merror:0.35 validation_0-mlogloss:0.923153 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903477 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890264 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868882 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85635 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840736 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831093 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.814161 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797792 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78856 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.789111 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.780508 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765622 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.760216 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759179 [21] validation_0-merror:0.35 validation_0-mlogloss:0.75895 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753075 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.750253 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74722 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751151 [26] validation_0-merror:0.35 validation_0-mlogloss:0.7521 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748215 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745071 [29] validation_0-merror:0.35 validation_0-mlogloss:0.742045 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.737191 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735137 [32] validation_0-merror:0.35 validation_0-mlogloss:0.732222 [33] validation_0-merror:0.35 validation_0-mlogloss:0.734918 [34] validation_0-merror:0.35 validation_0-mlogloss:0.736912 [35] validation_0-merror:0.35 validation_0-mlogloss:0.743036 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.735654 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.732526 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.732222 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04841 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01344 [2] validation_0-merror:0.3 validation_0-mlogloss:0.983956 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947562 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928288 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906531 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889455 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868941 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.848355 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833688 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819232 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.806335 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79422 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.785002 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776926 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.765488 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.754536 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.7454 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74292 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.742736 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.736347 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731158 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725233 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721614 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71599 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710561 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704895 [27] validation_0-merror:0.3 validation_0-mlogloss:0.705666 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706339 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70296 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695537 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.692972 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.688717 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.685762 [34] validation_0-merror:0.3 validation_0-mlogloss:0.687358 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.686662 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.686002 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.689393 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688932 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.685762 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00493 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975453 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940012 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.912686 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.887645 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.872604 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.85459 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.836135 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.822269 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814386 [11] validation_0-merror:0.35 validation_0-mlogloss:0.807182 [12] validation_0-merror:0.35 validation_0-mlogloss:0.796675 [13] validation_0-merror:0.35 validation_0-mlogloss:0.791352 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787084 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780147 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777009 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77294 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769694 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763299 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755525 [21] validation_0-merror:0.35 validation_0-mlogloss:0.757102 [22] validation_0-merror:0.35 validation_0-mlogloss:0.752197 [23] validation_0-merror:0.35 validation_0-mlogloss:0.753299 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75729 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755046 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75023 [27] validation_0-merror:0.35 validation_0-mlogloss:0.744936 [28] validation_0-merror:0.35 validation_0-mlogloss:0.742752 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740892 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.7447 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750893 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.749479 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749962 [34] validation_0-merror:0.35 validation_0-mlogloss:0.74986 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740892 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05588 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01327 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98084 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964828 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936533 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912132 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.891732 [7] validation_0-merror:0.3 validation_0-mlogloss:0.878102 [8] validation_0-merror:0.3 validation_0-mlogloss:0.857677 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848553 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840836 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826515 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81281 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80504 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.7934 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.786553 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.781142 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.770352 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.772873 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.765645 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760628 [21] validation_0-merror:0.3 validation_0-mlogloss:0.759968 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755691 [23] validation_0-merror:0.3 validation_0-mlogloss:0.753068 [24] validation_0-merror:0.3 validation_0-mlogloss:0.746335 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744093 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740339 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740565 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.732264 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.728058 [30] validation_0-merror:0.3 validation_0-mlogloss:0.727359 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.728851 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.728633 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.731359 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.726765 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.732313 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728979 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.72931 [38] validation_0-merror:0.3 validation_0-mlogloss:0.72884 [39] validation_0-merror:0.3 validation_0-mlogloss:0.72932 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.726765 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977206 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948087 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.918532 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.894161 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.873399 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.853799 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.836296 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.821617 [10] validation_0-merror:0.35 validation_0-mlogloss:0.809271 [11] validation_0-merror:0.3 validation_0-mlogloss:0.790188 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.777292 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.765149 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.758238 [15] validation_0-merror:0.3 validation_0-mlogloss:0.745763 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.73626 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.726759 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.723042 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.718465 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.712613 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.706996 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.705167 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.704166 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.700349 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.694488 [26] validation_0-merror:0.3 validation_0-mlogloss:0.692916 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.69204 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.690492 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.686745 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.683447 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683739 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.68212 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.683089 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680743 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.680585 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.68134 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681741 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682355 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.68048 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.680122 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.680377 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.678677 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.678491 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.680939 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68126 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.679818 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.684483 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.685261 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.678491 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05049 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02067 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983257 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95594 [4] validation_0-merror:0.4 validation_0-mlogloss:0.925174 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.90391 [6] validation_0-merror:0.4 validation_0-mlogloss:0.884892 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867467 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850998 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840723 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830128 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815294 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803879 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791865 [14] validation_0-merror:0.3 validation_0-mlogloss:0.784804 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776916 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.768551 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761614 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761851 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.760756 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76058 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758453 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759641 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755048 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756332 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758675 [26] validation_0-merror:0.35 validation_0-mlogloss:0.76204 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760605 [28] validation_0-merror:0.35 validation_0-mlogloss:0.762562 Stopping. Best iteration: [23] validation_0-merror:0.35 validation_0-mlogloss:0.755048 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01763 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982436 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953731 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.918906 [5] validation_0-merror:0.3 validation_0-mlogloss:0.892372 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.871206 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863361 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847674 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838514 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831902 [11] validation_0-merror:0.3 validation_0-mlogloss:0.822515 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815671 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810419 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800259 [15] validation_0-merror:0.3 validation_0-mlogloss:0.794594 [16] validation_0-merror:0.3 validation_0-mlogloss:0.783729 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776333 [18] validation_0-merror:0.3 validation_0-mlogloss:0.773026 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768081 [20] validation_0-merror:0.3 validation_0-mlogloss:0.767371 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760976 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.761975 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.756319 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.751638 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.747948 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.749761 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.751252 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.75042 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.751286 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.752849 Stopping. Best iteration: [25] validation_0-merror:0.283333 validation_0-mlogloss:0.747948 [0] validation_0-merror:0.566667 validation_0-mlogloss:1.06343 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995157 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.963968 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.94042 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913735 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89682 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858451 [9] validation_0-merror:0.35 validation_0-mlogloss:0.841942 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83257 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820082 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80836 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803216 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792174 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783218 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774567 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762873 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761552 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759547 [20] validation_0-merror:0.35 validation_0-mlogloss:0.749495 [21] validation_0-merror:0.35 validation_0-mlogloss:0.746011 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.743002 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73288 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727405 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726865 [26] validation_0-merror:0.3 validation_0-mlogloss:0.722436 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.723314 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.722838 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719495 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715566 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.711461 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710633 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.709563 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.70934 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.710918 [36] validation_0-merror:0.3 validation_0-mlogloss:0.711062 [37] validation_0-merror:0.3 validation_0-mlogloss:0.707894 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.706773 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703644 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.706289 [41] validation_0-merror:0.3 validation_0-mlogloss:0.705281 [42] validation_0-merror:0.3 validation_0-mlogloss:0.701184 [43] validation_0-merror:0.3 validation_0-mlogloss:0.700492 [44] validation_0-merror:0.3 validation_0-mlogloss:0.702272 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.704413 [46] validation_0-merror:0.3 validation_0-mlogloss:0.705102 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.705871 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.709088 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.700492 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985696 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959246 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92771 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.904932 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.879538 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.858945 [8] validation_0-merror:0.35 validation_0-mlogloss:0.83964 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.822909 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.807002 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.796829 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.78905 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.781419 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.777683 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.767642 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.764862 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.756765 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.757638 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.755275 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751204 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.751972 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75172 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.753141 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753076 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.752526 Stopping. Best iteration: [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751204 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01881 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983159 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962989 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937789 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914609 [6] validation_0-merror:0.3 validation_0-mlogloss:0.895529 [7] validation_0-merror:0.3 validation_0-mlogloss:0.880897 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846224 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.827249 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818967 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.805123 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791719 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779048 [15] validation_0-merror:0.3 validation_0-mlogloss:0.779682 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.770672 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760532 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752185 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.744602 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73678 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735337 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731882 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725482 [24] validation_0-merror:0.35 validation_0-mlogloss:0.723445 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.722123 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.72226 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.71757 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.712757 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709365 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706076 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703009 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.699052 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.702828 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702673 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.708987 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.708682 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.704382 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.699052 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01389 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987171 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951725 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929329 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90984 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892328 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870756 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853407 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839001 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827316 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813276 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802861 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79351 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.782189 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771868 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.761218 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.75312 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749796 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.750591 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743788 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738058 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731992 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729096 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.727394 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723376 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716955 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719813 [28] validation_0-merror:0.3 validation_0-mlogloss:0.718635 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717994 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.711111 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705741 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.702669 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699442 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.698327 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.69489 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692182 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.693561 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.692146 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.690309 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691769 [41] validation_0-merror:0.3 validation_0-mlogloss:0.691752 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69027 [43] validation_0-merror:0.3 validation_0-mlogloss:0.690627 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.689106 [45] validation_0-merror:0.3 validation_0-mlogloss:0.689374 [46] validation_0-merror:0.3 validation_0-mlogloss:0.687569 [47] validation_0-merror:0.3 validation_0-mlogloss:0.684431 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681877 [49] validation_0-merror:0.3 validation_0-mlogloss:0.683221 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683231 [51] validation_0-merror:0.3 validation_0-mlogloss:0.685007 [52] validation_0-merror:0.3 validation_0-mlogloss:0.68257 [53] validation_0-merror:0.3 validation_0-mlogloss:0.68501 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.681877 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0505 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00746 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977507 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947458 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.917953 [5] validation_0-merror:0.35 validation_0-mlogloss:0.895269 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878814 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86154 [8] validation_0-merror:0.3 validation_0-mlogloss:0.841325 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.824946 [10] validation_0-merror:0.3 validation_0-mlogloss:0.817148 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810668 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799072 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792989 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787224 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77991 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776227 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771997 [18] validation_0-merror:0.35 validation_0-mlogloss:0.770029 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766433 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75996 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.760199 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755907 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.756025 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760257 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759699 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755912 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756084 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755907 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05745 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.013 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984148 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.959097 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937746 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.912005 [6] validation_0-merror:0.25 validation_0-mlogloss:0.891805 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.876857 [8] validation_0-merror:0.25 validation_0-mlogloss:0.853581 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.84294 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.833094 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.820976 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807342 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.794413 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.786979 [15] validation_0-merror:0.25 validation_0-mlogloss:0.778977 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.77616 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765394 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766891 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.761102 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.75727 [21] validation_0-merror:0.3 validation_0-mlogloss:0.758476 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754639 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.749281 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.742481 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742761 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735698 [27] validation_0-merror:0.3 validation_0-mlogloss:0.735206 [28] validation_0-merror:0.3 validation_0-mlogloss:0.731581 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72875 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.728725 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.724741 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.722544 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.725195 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.7229 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.728678 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.727889 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.727668 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.722544 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05354 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01616 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980883 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.949197 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919728 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892842 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870603 [7] validation_0-merror:0.3 validation_0-mlogloss:0.851329 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834354 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.823481 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.8096 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.792932 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.784002 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.774746 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.766366 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.755152 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.74775 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.741195 [18] validation_0-merror:0.3 validation_0-mlogloss:0.735632 [19] validation_0-merror:0.3 validation_0-mlogloss:0.732973 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.72568 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.720704 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.718714 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713591 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707516 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.703128 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.701092 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699364 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.696933 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691692 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.691739 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.692138 [32] validation_0-merror:0.25 validation_0-mlogloss:0.69048 [33] validation_0-merror:0.25 validation_0-mlogloss:0.689605 [34] validation_0-merror:0.25 validation_0-mlogloss:0.693329 [35] validation_0-merror:0.25 validation_0-mlogloss:0.694245 [36] validation_0-merror:0.25 validation_0-mlogloss:0.693803 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.693913 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.692873 Stopping. Best iteration: [33] validation_0-merror:0.25 validation_0-mlogloss:0.689605 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0514 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01622 [2] validation_0-merror:0.4 validation_0-mlogloss:0.978313 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950217 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.922562 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.899724 [6] validation_0-merror:0.4 validation_0-mlogloss:0.880567 [7] validation_0-merror:0.4 validation_0-mlogloss:0.862751 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850335 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836378 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822975 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810414 [12] validation_0-merror:0.35 validation_0-mlogloss:0.80083 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.794636 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789783 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781874 [16] validation_0-merror:0.35 validation_0-mlogloss:0.778129 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774277 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773982 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.772986 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768223 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767668 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.770355 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768703 [24] validation_0-merror:0.35 validation_0-mlogloss:0.768034 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.768342 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769553 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.767668 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02495 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.98798 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965671 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936223 [5] validation_0-merror:0.4 validation_0-mlogloss:0.911944 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887968 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.868363 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849697 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.84365 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830622 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816991 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805833 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.801222 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789054 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784159 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.774814 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765445 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.76037 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760582 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.756966 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.755747 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.751798 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.744644 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.739506 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.737668 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.734475 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.737306 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.736425 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.739064 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.741044 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.739325 Stopping. Best iteration: [26] validation_0-merror:0.266667 validation_0-mlogloss:0.734475 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00548 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973927 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950249 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.923965 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905557 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887641 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87173 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855197 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84596 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831835 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820032 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.807735 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794724 [15] validation_0-merror:0.35 validation_0-mlogloss:0.786754 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777194 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767273 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764358 [19] validation_0-merror:0.35 validation_0-mlogloss:0.761758 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751719 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744475 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.739571 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734631 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728653 [25] validation_0-merror:0.3 validation_0-mlogloss:0.730627 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.728616 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726805 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727045 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722581 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.720641 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71636 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.715969 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716141 [34] validation_0-merror:0.3 validation_0-mlogloss:0.718181 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.722704 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722784 [37] validation_0-merror:0.3 validation_0-mlogloss:0.720599 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.715969 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987037 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.961931 [4] validation_0-merror:0.3 validation_0-mlogloss:0.929745 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908307 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886888 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867916 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848075 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829127 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812476 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803658 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795693 [13] validation_0-merror:0.35 validation_0-mlogloss:0.787414 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78096 [15] validation_0-merror:0.35 validation_0-mlogloss:0.774007 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769861 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7605 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.760498 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.755659 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.750658 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.74593 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.747098 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.74864 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753633 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.751005 [26] validation_0-merror:0.4 validation_0-mlogloss:0.748194 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.74593 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989141 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967017 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940669 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919546 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901408 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886191 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867553 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858758 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841054 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830651 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818392 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80331 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792524 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792918 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785242 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77598 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773524 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768594 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763068 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.758431 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.75647 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752259 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750336 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752468 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754231 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753599 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752844 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747416 [30] validation_0-merror:0.35 validation_0-mlogloss:0.74678 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74056 [32] validation_0-merror:0.35 validation_0-mlogloss:0.73816 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741405 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.74349 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.742384 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74084 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.737849 [38] validation_0-merror:0.35 validation_0-mlogloss:0.73805 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.738272 [40] validation_0-merror:0.35 validation_0-mlogloss:0.738518 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.735391 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.735644 [43] validation_0-merror:0.35 validation_0-mlogloss:0.733021 [44] validation_0-merror:0.35 validation_0-mlogloss:0.731824 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.726555 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.728313 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.726998 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.727532 [49] validation_0-merror:0.35 validation_0-mlogloss:0.731358 [50] validation_0-merror:0.35 validation_0-mlogloss:0.728655 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.726555 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05143 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01606 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992591 [3] validation_0-merror:0.3 validation_0-mlogloss:0.959195 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938152 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.91191 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89108 [7] validation_0-merror:0.35 validation_0-mlogloss:0.87433 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861003 [9] validation_0-merror:0.3 validation_0-mlogloss:0.843205 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.828654 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.815362 [12] validation_0-merror:0.3 validation_0-mlogloss:0.806668 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798276 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78734 [15] validation_0-merror:0.3 validation_0-mlogloss:0.77751 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770508 [17] validation_0-merror:0.3 validation_0-mlogloss:0.762998 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760618 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763315 [20] validation_0-merror:0.3 validation_0-mlogloss:0.755406 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75027 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745601 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74099 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736612 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.730374 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.724318 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.726561 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727853 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723912 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719093 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715526 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710969 [33] validation_0-merror:0.3 validation_0-mlogloss:0.707768 [34] validation_0-merror:0.3 validation_0-mlogloss:0.705193 [35] validation_0-merror:0.3 validation_0-mlogloss:0.700629 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698201 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.697263 [38] validation_0-merror:0.3 validation_0-mlogloss:0.697852 [39] validation_0-merror:0.3 validation_0-mlogloss:0.691281 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692492 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.688234 [42] validation_0-merror:0.3 validation_0-mlogloss:0.690229 [43] validation_0-merror:0.3 validation_0-mlogloss:0.689001 [44] validation_0-merror:0.3 validation_0-mlogloss:0.688853 [45] validation_0-merror:0.3 validation_0-mlogloss:0.689942 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691225 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.688234 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05654 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0131 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.983243 [3] validation_0-merror:0.3 validation_0-mlogloss:0.950658 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.921263 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892403 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876842 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.854907 [8] validation_0-merror:0.3 validation_0-mlogloss:0.836534 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820676 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811671 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806481 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.7961 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.78908 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782145 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775365 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770455 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765578 [18] validation_0-merror:0.35 validation_0-mlogloss:0.762968 [19] validation_0-merror:0.35 validation_0-mlogloss:0.757192 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747884 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749421 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.745867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748198 [24] validation_0-merror:0.35 validation_0-mlogloss:0.74868 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746686 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744688 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740665 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.740632 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739298 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.741621 [31] validation_0-merror:0.35 validation_0-mlogloss:0.740622 [32] validation_0-merror:0.35 validation_0-mlogloss:0.741831 [33] validation_0-merror:0.35 validation_0-mlogloss:0.741066 [34] validation_0-merror:0.35 validation_0-mlogloss:0.739973 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739298 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.0167 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985944 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958766 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939165 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.911616 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.89137 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.877321 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.857734 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.845523 [10] validation_0-merror:0.25 validation_0-mlogloss:0.830423 [11] validation_0-merror:0.25 validation_0-mlogloss:0.82021 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807873 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798021 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.788192 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.781645 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.777572 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770804 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770783 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762948 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.754222 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.753406 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.748619 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.74169 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.741385 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.741294 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.732824 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730514 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.724869 [29] validation_0-merror:0.3 validation_0-mlogloss:0.726701 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728186 [31] validation_0-merror:0.3 validation_0-mlogloss:0.722388 [32] validation_0-merror:0.3 validation_0-mlogloss:0.72029 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723842 [34] validation_0-merror:0.3 validation_0-mlogloss:0.719445 [35] validation_0-merror:0.3 validation_0-mlogloss:0.724012 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.721445 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.71989 [38] validation_0-merror:0.3 validation_0-mlogloss:0.719643 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.722632 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.719445 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06038 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02274 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988179 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957599 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932644 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909039 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89017 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873389 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856125 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849256 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837282 [11] validation_0-merror:0.3 validation_0-mlogloss:0.820391 [12] validation_0-merror:0.3 validation_0-mlogloss:0.810362 [13] validation_0-merror:0.3 validation_0-mlogloss:0.802016 [14] validation_0-merror:0.3 validation_0-mlogloss:0.792678 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785147 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774408 [17] validation_0-merror:0.3 validation_0-mlogloss:0.76752 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760773 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.752625 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748808 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.744486 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.743445 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.739889 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734345 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.729998 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.728119 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.726216 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724463 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720689 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720092 [31] validation_0-merror:0.3 validation_0-mlogloss:0.722223 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722055 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720544 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721128 [35] validation_0-merror:0.3 validation_0-mlogloss:0.722955 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720092 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05037 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01727 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.954542 [4] validation_0-merror:0.4 validation_0-mlogloss:0.927813 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.907978 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.892261 [7] validation_0-merror:0.433333 validation_0-mlogloss:0.875274 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862227 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851386 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837455 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820597 [12] validation_0-merror:0.35 validation_0-mlogloss:0.811017 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804129 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797314 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794872 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787604 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.785624 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785381 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.782767 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781087 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778694 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.775802 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.775258 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77261 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772814 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.774186 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.773681 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.776545 [29] validation_0-merror:0.4 validation_0-mlogloss:0.776799 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77261 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02274 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986871 [3] validation_0-merror:0.3 validation_0-mlogloss:0.960683 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929376 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910164 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888541 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873863 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855026 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84839 [10] validation_0-merror:0.3 validation_0-mlogloss:0.837138 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.828394 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821205 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819117 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.806401 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.807541 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.799853 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.788577 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.783592 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.780637 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.780943 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.775816 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.767475 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.759739 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.755267 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.751487 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.748521 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.744535 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.741538 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.739764 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.74088 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.740099 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.741276 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.739347 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.738251 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.737111 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.736074 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.734262 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.732088 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.732372 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.730089 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.73086 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.731974 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.735452 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.738713 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.744774 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.730089 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971539 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95084 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930963 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91303 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.89606 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876327 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.854135 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844346 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831867 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81982 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806837 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796838 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789606 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77856 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769467 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765651 [19] validation_0-merror:0.3 validation_0-mlogloss:0.764046 [20] validation_0-merror:0.3 validation_0-mlogloss:0.754679 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74964 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745493 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.739833 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731862 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731878 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729627 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729404 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.725916 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721359 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719266 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716008 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713443 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713654 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.716169 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71835 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717323 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.715822 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.713443 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02678 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989515 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961843 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930977 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911557 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.889419 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868659 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.84917 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830585 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815214 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806112 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797435 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789606 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787568 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780256 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776626 [17] validation_0-merror:0.35 validation_0-mlogloss:0.766834 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765791 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.760361 [20] validation_0-merror:0.35 validation_0-mlogloss:0.756648 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.754395 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755786 [23] validation_0-merror:0.4 validation_0-mlogloss:0.756712 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758118 [25] validation_0-merror:0.4 validation_0-mlogloss:0.756452 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.75477 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.754395 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99025 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971313 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949898 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927175 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904272 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887546 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867542 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852436 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833316 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823463 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813013 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799947 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789544 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788633 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780728 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771398 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764577 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759418 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756962 [21] validation_0-merror:0.35 validation_0-mlogloss:0.749637 [22] validation_0-merror:0.35 validation_0-mlogloss:0.74991 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742243 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740812 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743756 [26] validation_0-merror:0.35 validation_0-mlogloss:0.742849 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.73952 [28] validation_0-merror:0.35 validation_0-mlogloss:0.734422 [29] validation_0-merror:0.35 validation_0-mlogloss:0.729958 [30] validation_0-merror:0.35 validation_0-mlogloss:0.725727 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.723738 [32] validation_0-merror:0.35 validation_0-mlogloss:0.721312 [33] validation_0-merror:0.35 validation_0-mlogloss:0.7224 [34] validation_0-merror:0.35 validation_0-mlogloss:0.720272 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724043 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.725137 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723957 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.722784 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.7245 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.720272 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05134 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02194 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99436 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959148 [4] validation_0-merror:0.35 validation_0-mlogloss:0.934861 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911687 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896151 [7] validation_0-merror:0.35 validation_0-mlogloss:0.878314 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862341 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845608 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.834845 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819513 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810151 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803804 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79256 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782968 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775516 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767107 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76409 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76399 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757622 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751893 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741943 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740128 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736035 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.731637 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.727414 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727904 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729842 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727468 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724126 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719303 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714262 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712747 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.711265 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706417 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.706636 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.704027 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.705948 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.705117 [40] validation_0-merror:0.3 validation_0-mlogloss:0.705887 [41] validation_0-merror:0.3 validation_0-mlogloss:0.701075 [42] validation_0-merror:0.3 validation_0-mlogloss:0.700971 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.700118 [44] validation_0-merror:0.3 validation_0-mlogloss:0.699886 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.700789 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.701592 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.699072 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.697797 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.697199 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.697393 [51] validation_0-merror:0.3 validation_0-mlogloss:0.699571 [52] validation_0-merror:0.3 validation_0-mlogloss:0.69859 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.700653 [54] validation_0-merror:0.3 validation_0-mlogloss:0.696268 [55] validation_0-merror:0.3 validation_0-mlogloss:0.695458 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.695834 [57] validation_0-merror:0.3 validation_0-mlogloss:0.696527 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.699636 [59] validation_0-merror:0.3 validation_0-mlogloss:0.698721 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.698469 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.695458 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01781 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987284 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955706 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92751 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907107 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89154 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.869259 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851346 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834311 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822077 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81516 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.804328 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797562 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792794 [15] validation_0-merror:0.35 validation_0-mlogloss:0.788555 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783924 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779642 [18] validation_0-merror:0.35 validation_0-mlogloss:0.774076 [19] validation_0-merror:0.35 validation_0-mlogloss:0.768269 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759147 [21] validation_0-merror:0.35 validation_0-mlogloss:0.755449 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.753612 [23] validation_0-merror:0.35 validation_0-mlogloss:0.752438 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752313 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.748792 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.744605 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.743242 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.743333 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.744638 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.745971 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744388 [32] validation_0-merror:0.4 validation_0-mlogloss:0.744088 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.743242 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995204 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971245 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950224 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930089 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.909324 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.896002 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.875568 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.863603 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849983 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.839726 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.828086 [13] validation_0-merror:0.25 validation_0-mlogloss:0.818684 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.809477 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.80209 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.796074 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.786952 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780795 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77571 [20] validation_0-merror:0.3 validation_0-mlogloss:0.767365 [21] validation_0-merror:0.3 validation_0-mlogloss:0.766261 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758923 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.750041 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.750308 [25] validation_0-merror:0.3 validation_0-mlogloss:0.752968 [26] validation_0-merror:0.3 validation_0-mlogloss:0.74871 [27] validation_0-merror:0.3 validation_0-mlogloss:0.745663 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740648 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.743205 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.743785 [31] validation_0-merror:0.3 validation_0-mlogloss:0.737459 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735414 [33] validation_0-merror:0.3 validation_0-mlogloss:0.736989 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732052 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736279 [36] validation_0-merror:0.3 validation_0-mlogloss:0.732707 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.731025 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.730647 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.730927 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727135 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.725011 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.723144 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.722954 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.728397 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.726668 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.726929 [47] validation_0-merror:0.3 validation_0-mlogloss:0.726436 [48] validation_0-merror:0.3 validation_0-mlogloss:0.727986 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.722954 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05772 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02265 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988644 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958451 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932864 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.910193 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891784 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873235 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85509 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841423 [10] validation_0-merror:0.3 validation_0-mlogloss:0.830749 [11] validation_0-merror:0.3 validation_0-mlogloss:0.812068 [12] validation_0-merror:0.3 validation_0-mlogloss:0.79856 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.786446 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778208 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77027 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.763942 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756846 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749873 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741724 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735123 [21] validation_0-merror:0.3 validation_0-mlogloss:0.729553 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.721879 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717382 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714574 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.708179 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708207 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706343 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705059 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703362 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703719 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701808 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699397 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697134 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697551 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.69675 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.695642 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694727 [38] validation_0-merror:0.3 validation_0-mlogloss:0.69548 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694479 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694035 [41] validation_0-merror:0.3 validation_0-mlogloss:0.694508 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692728 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.693772 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694742 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.697574 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.697105 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.695825 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692728 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01709 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978872 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952174 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924761 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901327 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883023 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864532 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851712 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843827 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828166 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813897 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.806626 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801206 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.79334 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.784856 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.782142 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.779372 [18] validation_0-merror:0.4 validation_0-mlogloss:0.777596 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773236 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772311 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769368 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768456 [23] validation_0-merror:0.4 validation_0-mlogloss:0.76565 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762452 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761175 [26] validation_0-merror:0.4 validation_0-mlogloss:0.761757 [27] validation_0-merror:0.4 validation_0-mlogloss:0.763212 [28] validation_0-merror:0.4 validation_0-mlogloss:0.758511 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.758153 [30] validation_0-merror:0.4 validation_0-mlogloss:0.762942 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.76295 [32] validation_0-merror:0.4 validation_0-mlogloss:0.765658 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.763379 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.763087 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.758153 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02503 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989557 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.957132 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927685 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.906466 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883887 [7] validation_0-merror:0.3 validation_0-mlogloss:0.86847 [8] validation_0-merror:0.3 validation_0-mlogloss:0.849172 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.839993 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.831722 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82313 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813726 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809643 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.796744 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.790102 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.781333 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774066 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772585 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.764144 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762623 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757666 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753401 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748694 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.743232 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.738933 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737482 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.738897 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.735241 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.732243 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.733424 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.731859 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.728662 [33] validation_0-merror:0.3 validation_0-mlogloss:0.724049 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.727061 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72828 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.726577 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.723716 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.721772 [39] validation_0-merror:0.25 validation_0-mlogloss:0.718362 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.716786 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.715313 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.716186 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.716825 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.715047 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.71789 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.718672 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.718683 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.719382 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.719689 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.715047 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06239 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02279 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992194 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95676 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934444 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907216 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88659 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868107 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.850227 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833314 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824224 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813241 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802116 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795606 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785861 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77688 [16] validation_0-merror:0.3 validation_0-mlogloss:0.765894 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761003 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759606 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75756 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746972 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741124 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733226 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72342 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71771 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713369 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70883 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71391 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712829 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703068 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697002 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.69445 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691611 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687531 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691783 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695189 [36] validation_0-merror:0.3 validation_0-mlogloss:0.695333 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691974 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689378 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687531 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02455 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992201 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966363 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.934267 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.912301 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886819 [7] validation_0-merror:0.35 validation_0-mlogloss:0.872936 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85152 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83451 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825009 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8141 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806558 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797331 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790887 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779888 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776622 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770392 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773357 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77451 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774863 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774588 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.778718 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770392 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05482 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01434 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.977795 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953922 [4] validation_0-merror:0.3 validation_0-mlogloss:0.922478 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907065 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886442 [7] validation_0-merror:0.35 validation_0-mlogloss:0.87492 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856327 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842002 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829645 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822247 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80852 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798957 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789721 [15] validation_0-merror:0.35 validation_0-mlogloss:0.791646 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782488 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780889 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776201 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.773673 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781131 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783178 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783315 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.778123 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779406 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.773673 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04245 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00456 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974536 [3] validation_0-merror:0.3 validation_0-mlogloss:0.937539 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.915891 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.886493 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.86371 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.842206 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.82325 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.809568 [10] validation_0-merror:0.3 validation_0-mlogloss:0.798784 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.787701 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.776205 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.76327 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.756473 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.746501 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.739179 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.732626 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.7295 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.726775 [20] validation_0-merror:0.3 validation_0-mlogloss:0.721173 [21] validation_0-merror:0.3 validation_0-mlogloss:0.717657 [22] validation_0-merror:0.3 validation_0-mlogloss:0.71289 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.708373 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.702285 [25] validation_0-merror:0.3 validation_0-mlogloss:0.701927 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.695658 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699157 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698974 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699957 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695094 [31] validation_0-merror:0.3 validation_0-mlogloss:0.69161 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688064 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687482 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68625 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.687174 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686177 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688926 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.689351 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.687195 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.696348 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.696485 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686177 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05512 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00759 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.976135 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941096 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.910088 [5] validation_0-merror:0.3 validation_0-mlogloss:0.879633 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.859184 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.841471 [8] validation_0-merror:0.3 validation_0-mlogloss:0.819724 [9] validation_0-merror:0.3 validation_0-mlogloss:0.807629 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.80034 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.794428 [12] validation_0-merror:0.35 validation_0-mlogloss:0.787948 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783098 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776184 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770389 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.768807 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771521 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764763 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759303 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754614 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752218 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750373 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751899 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756477 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757279 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756871 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.75846 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750373 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0111 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985446 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963532 [4] validation_0-merror:0.3 validation_0-mlogloss:0.934425 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923478 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.912149 [7] validation_0-merror:0.3 validation_0-mlogloss:0.90136 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.882975 [9] validation_0-merror:0.35 validation_0-mlogloss:0.872851 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.864935 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.852762 [12] validation_0-merror:0.35 validation_0-mlogloss:0.837664 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828355 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817376 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816361 [16] validation_0-merror:0.35 validation_0-mlogloss:0.814234 [17] validation_0-merror:0.35 validation_0-mlogloss:0.807256 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.80324 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.79636 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.795903 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.798004 [22] validation_0-merror:0.35 validation_0-mlogloss:0.796147 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.796003 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.794126 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.797419 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.797102 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.800307 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.798236 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.792796 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.791254 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.796623 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.793949 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.798826 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.796059 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.804693 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.791254 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00948 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.972078 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.938342 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.908527 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.881445 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.859558 [7] validation_0-merror:0.3 validation_0-mlogloss:0.840042 [8] validation_0-merror:0.3 validation_0-mlogloss:0.825905 [9] validation_0-merror:0.3 validation_0-mlogloss:0.81456 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.803245 [11] validation_0-merror:0.25 validation_0-mlogloss:0.786705 [12] validation_0-merror:0.25 validation_0-mlogloss:0.772018 [13] validation_0-merror:0.25 validation_0-mlogloss:0.756715 [14] validation_0-merror:0.25 validation_0-mlogloss:0.750972 [15] validation_0-merror:0.25 validation_0-mlogloss:0.740841 [16] validation_0-merror:0.25 validation_0-mlogloss:0.73142 [17] validation_0-merror:0.25 validation_0-mlogloss:0.724962 [18] validation_0-merror:0.25 validation_0-mlogloss:0.719134 [19] validation_0-merror:0.25 validation_0-mlogloss:0.715384 [20] validation_0-merror:0.25 validation_0-mlogloss:0.710558 [21] validation_0-merror:0.25 validation_0-mlogloss:0.705883 [22] validation_0-merror:0.25 validation_0-mlogloss:0.706319 [23] validation_0-merror:0.25 validation_0-mlogloss:0.70432 [24] validation_0-merror:0.25 validation_0-mlogloss:0.704633 [25] validation_0-merror:0.25 validation_0-mlogloss:0.701545 [26] validation_0-merror:0.25 validation_0-mlogloss:0.703969 [27] validation_0-merror:0.25 validation_0-mlogloss:0.703388 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.704068 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.701107 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.699322 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.702108 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.70161 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.703612 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.701983 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.701104 Stopping. Best iteration: [30] validation_0-merror:0.233333 validation_0-mlogloss:0.699322 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05618 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02322 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.98628 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.95696 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925966 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.901155 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883297 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863831 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.848352 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.843076 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836115 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828411 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821164 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816432 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81211 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.807665 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79931 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.792135 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.787236 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.783023 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.778018 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.780593 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.783604 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.784261 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783013 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.788018 Stopping. Best iteration: [20] validation_0-merror:0.316667 validation_0-mlogloss:0.778018 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06218 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01962 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981832 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957479 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932006 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904484 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880067 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867566 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855705 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846235 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838251 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834421 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828164 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.826 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820518 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.819344 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812708 [17] validation_0-merror:0.35 validation_0-mlogloss:0.80616 [18] validation_0-merror:0.35 validation_0-mlogloss:0.808298 [19] validation_0-merror:0.35 validation_0-mlogloss:0.809575 [20] validation_0-merror:0.35 validation_0-mlogloss:0.810545 [21] validation_0-merror:0.35 validation_0-mlogloss:0.808788 [22] validation_0-merror:0.35 validation_0-mlogloss:0.809952 Stopping. Best iteration: [17] validation_0-merror:0.35 validation_0-mlogloss:0.80616 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01346 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983075 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949022 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927775 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903427 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886371 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863193 [8] validation_0-merror:0.3 validation_0-mlogloss:0.84479 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831083 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822913 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811129 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.801549 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790696 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778328 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768915 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.761605 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752677 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750722 [19] validation_0-merror:0.3 validation_0-mlogloss:0.749572 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739464 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732833 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.725594 [23] validation_0-merror:0.3 validation_0-mlogloss:0.717827 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.710464 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706249 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699343 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702342 [28] validation_0-merror:0.3 validation_0-mlogloss:0.702549 [29] validation_0-merror:0.3 validation_0-mlogloss:0.697662 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693576 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689854 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685709 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.684908 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.686725 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.685058 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683509 [37] validation_0-merror:0.3 validation_0-mlogloss:0.677813 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.680437 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.680027 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.682192 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679938 [42] validation_0-merror:0.3 validation_0-mlogloss:0.674456 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.673308 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.674152 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.67752 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.67844 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673531 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.675673 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.673308 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05809 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02456 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991414 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965403 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932965 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909405 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888195 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.873523 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854342 [9] validation_0-merror:0.35 validation_0-mlogloss:0.837567 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823133 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813329 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.800441 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.792641 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.790033 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.781085 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.778949 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.77529 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775056 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773021 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77188 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769668 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77386 [23] validation_0-merror:0.35 validation_0-mlogloss:0.773237 [24] validation_0-merror:0.35 validation_0-mlogloss:0.772294 [25] validation_0-merror:0.35 validation_0-mlogloss:0.770185 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771507 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.769668 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0537 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01026 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.974695 [3] validation_0-merror:0.25 validation_0-mlogloss:0.959216 [4] validation_0-merror:0.25 validation_0-mlogloss:0.93109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914095 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.894365 [7] validation_0-merror:0.35 validation_0-mlogloss:0.88063 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856354 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846983 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834111 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825508 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817378 [13] validation_0-merror:0.3 validation_0-mlogloss:0.804505 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793976 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795158 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785057 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776331 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768515 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763573 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763139 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762534 [22] validation_0-merror:0.3 validation_0-mlogloss:0.761611 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75484 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749716 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75395 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.752648 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.752275 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748648 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.747215 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744485 [31] validation_0-merror:0.35 validation_0-mlogloss:0.745724 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.742219 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746134 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.747371 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.753373 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.750098 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.744118 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.742219 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04626 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00965 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978258 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.943194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923069 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896665 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.878405 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856674 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.838256 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.821607 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.807445 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.796811 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.785782 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.776316 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.76763 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.758875 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.748853 [17] validation_0-merror:0.3 validation_0-mlogloss:0.740693 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.737924 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.739509 [20] validation_0-merror:0.35 validation_0-mlogloss:0.734125 [21] validation_0-merror:0.35 validation_0-mlogloss:0.730668 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.723014 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719237 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.716067 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711946 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70677 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709312 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70941 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708394 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700423 [31] validation_0-merror:0.3 validation_0-mlogloss:0.696534 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692271 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68966 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.689955 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.688654 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.690354 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.687048 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.689061 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.689042 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691023 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688707 [42] validation_0-merror:0.3 validation_0-mlogloss:0.688627 Stopping. Best iteration: [37] validation_0-merror:0.283333 validation_0-mlogloss:0.687048 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05036 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00861 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981556 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948974 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918113 [5] validation_0-merror:0.35 validation_0-mlogloss:0.894039 [6] validation_0-merror:0.35 validation_0-mlogloss:0.8756 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857336 [8] validation_0-merror:0.35 validation_0-mlogloss:0.83753 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.822303 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813825 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.806927 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.799327 [13] validation_0-merror:0.35 validation_0-mlogloss:0.792192 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787719 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78111 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779352 [17] validation_0-merror:0.35 validation_0-mlogloss:0.777417 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773367 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766202 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759835 [21] validation_0-merror:0.35 validation_0-mlogloss:0.757048 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753935 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757287 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761583 [25] validation_0-merror:0.35 validation_0-mlogloss:0.7606 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755299 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753038 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754025 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751404 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.754087 [31] validation_0-merror:0.35 validation_0-mlogloss:0.760372 [32] validation_0-merror:0.35 validation_0-mlogloss:0.75865 [33] validation_0-merror:0.35 validation_0-mlogloss:0.763065 [34] validation_0-merror:0.35 validation_0-mlogloss:0.763233 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.751404 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01213 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982877 [3] validation_0-merror:0.35 validation_0-mlogloss:0.960772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927305 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907323 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.894082 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880155 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862472 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.854354 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847455 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833641 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822767 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812598 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800854 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.800357 [16] validation_0-merror:0.3 validation_0-mlogloss:0.79621 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.787815 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.789474 [19] validation_0-merror:0.3 validation_0-mlogloss:0.782651 [20] validation_0-merror:0.3 validation_0-mlogloss:0.782788 [21] validation_0-merror:0.3 validation_0-mlogloss:0.785779 [22] validation_0-merror:0.35 validation_0-mlogloss:0.782834 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.779912 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.777011 [25] validation_0-merror:0.35 validation_0-mlogloss:0.775873 [26] validation_0-merror:0.3 validation_0-mlogloss:0.774697 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.776905 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.771955 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771311 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.77252 [31] validation_0-merror:0.3 validation_0-mlogloss:0.775479 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773488 [33] validation_0-merror:0.3 validation_0-mlogloss:0.776802 [34] validation_0-merror:0.3 validation_0-mlogloss:0.77498 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771311 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05291 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01366 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975988 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.945134 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.917388 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894463 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.87302 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857622 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842737 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831597 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817505 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801634 [12] validation_0-merror:0.3 validation_0-mlogloss:0.788779 [13] validation_0-merror:0.3 validation_0-mlogloss:0.777532 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.766973 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.755027 [16] validation_0-merror:0.3 validation_0-mlogloss:0.749877 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.743795 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.741879 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.739127 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.733461 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.724592 [22] validation_0-merror:0.25 validation_0-mlogloss:0.727607 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.726295 [24] validation_0-merror:0.25 validation_0-mlogloss:0.722049 [25] validation_0-merror:0.25 validation_0-mlogloss:0.722265 [26] validation_0-merror:0.25 validation_0-mlogloss:0.718323 [27] validation_0-merror:0.25 validation_0-mlogloss:0.717752 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.716638 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.713733 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.711381 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.710865 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.708638 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708699 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707737 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.708999 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.712192 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714432 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712792 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.712171 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707737 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02182 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983681 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958473 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926658 [5] validation_0-merror:0.35 validation_0-mlogloss:0.90477 [6] validation_0-merror:0.35 validation_0-mlogloss:0.883972 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865243 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.848551 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840711 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.828622 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.815894 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80533 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796445 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788824 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781388 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779717 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776839 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.777558 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.776779 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776195 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.774422 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7741 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772276 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.774885 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776241 [26] validation_0-merror:0.35 validation_0-mlogloss:0.778292 [27] validation_0-merror:0.35 validation_0-mlogloss:0.782552 [28] validation_0-merror:0.35 validation_0-mlogloss:0.784437 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772276 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02227 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984372 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95596 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925868 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901649 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881171 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867041 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853006 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845571 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840381 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830133 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818077 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.812889 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802344 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.7982 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787117 [17] validation_0-merror:0.3 validation_0-mlogloss:0.782268 [18] validation_0-merror:0.3 validation_0-mlogloss:0.781497 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778736 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.779476 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776777 [22] validation_0-merror:0.3 validation_0-mlogloss:0.772682 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771594 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765906 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766131 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766624 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769116 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769479 [29] validation_0-merror:0.35 validation_0-mlogloss:0.770555 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765906 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989599 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958748 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935644 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909891 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892491 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872527 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857152 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.84352 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83468 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824293 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.812571 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808173 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801042 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791322 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780945 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773379 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771881 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767875 [20] validation_0-merror:0.3 validation_0-mlogloss:0.758225 [21] validation_0-merror:0.3 validation_0-mlogloss:0.754124 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.748063 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.735893 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729602 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.728423 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.72562 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.728665 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729505 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723228 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.719655 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.715437 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.713695 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.712835 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.71249 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.714972 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716444 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.713664 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.71425 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.71019 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.712648 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.711361 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.707346 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702726 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.703702 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.699674 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.704642 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.703336 [48] validation_0-merror:0.3 validation_0-mlogloss:0.705586 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.708188 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.704029 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.699674 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.986742 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962372 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932139 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908995 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885058 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867274 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848886 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.830535 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813911 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805508 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800339 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.791748 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.787584 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780868 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777455 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.773549 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775728 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773181 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.768939 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762748 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.762884 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764102 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764113 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.762186 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.762056 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758037 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.759423 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.761792 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76204 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.764394 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.761027 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758037 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01812 [2] validation_0-merror:0.3 validation_0-mlogloss:0.983716 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964582 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939545 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916487 [6] validation_0-merror:0.3 validation_0-mlogloss:0.897508 [7] validation_0-merror:0.3 validation_0-mlogloss:0.882913 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863207 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.855627 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.837226 [11] validation_0-merror:0.3 validation_0-mlogloss:0.829208 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.813806 [13] validation_0-merror:0.3 validation_0-mlogloss:0.800393 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787096 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789461 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779305 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769072 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.763466 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755708 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746237 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745719 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.742368 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734509 [24] validation_0-merror:0.35 validation_0-mlogloss:0.73209 [25] validation_0-merror:0.35 validation_0-mlogloss:0.733685 [26] validation_0-merror:0.35 validation_0-mlogloss:0.73394 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.730209 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726281 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723525 [30] validation_0-merror:0.3 validation_0-mlogloss:0.720714 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71657 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712669 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.716416 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.713938 [35] validation_0-merror:0.3 validation_0-mlogloss:0.720655 [36] validation_0-merror:0.3 validation_0-mlogloss:0.720693 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.717312 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712669 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04762 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01048 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983204 [3] validation_0-merror:0.3 validation_0-mlogloss:0.945745 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.926468 [5] validation_0-merror:0.3 validation_0-mlogloss:0.902526 [6] validation_0-merror:0.3 validation_0-mlogloss:0.885302 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863899 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.844777 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831084 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819456 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807757 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797475 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789228 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78062 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771792 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.760359 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752415 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749588 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748755 [20] validation_0-merror:0.35 validation_0-mlogloss:0.74164 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738749 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731845 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727347 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722925 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.721754 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716781 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.719587 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71765 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.717321 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.711098 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705518 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.702086 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699813 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.698727 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.694218 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.692448 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690799 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.6925 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.691652 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.692837 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.692696 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693161 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690799 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04936 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00616 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977822 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948258 [4] validation_0-merror:0.35 validation_0-mlogloss:0.917054 [5] validation_0-merror:0.35 validation_0-mlogloss:0.891046 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.875129 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856669 [8] validation_0-merror:0.35 validation_0-mlogloss:0.835939 [9] validation_0-merror:0.35 validation_0-mlogloss:0.819881 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811972 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805939 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794402 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789811 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78526 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780156 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77949 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779608 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776678 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771637 [20] validation_0-merror:0.35 validation_0-mlogloss:0.761322 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761064 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759384 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7594 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760352 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761464 [26] validation_0-merror:0.35 validation_0-mlogloss:0.761883 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756721 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753371 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751978 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.75389 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.759665 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.75786 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.759463 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.759886 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.751978 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01232 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984945 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.96007 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938558 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.914111 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.89628 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.88259 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860827 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851057 [10] validation_0-merror:0.3 validation_0-mlogloss:0.842699 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83373 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.819684 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.809382 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798957 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797776 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794317 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78732 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788051 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.784196 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.780379 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.78083 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775492 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.771713 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765781 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765947 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.766022 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763879 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.759699 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.757059 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.759086 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.756787 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.754861 [33] validation_0-merror:0.3 validation_0-mlogloss:0.756894 [34] validation_0-merror:0.3 validation_0-mlogloss:0.753134 [35] validation_0-merror:0.3 validation_0-mlogloss:0.759489 [36] validation_0-merror:0.3 validation_0-mlogloss:0.75875 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.758664 [38] validation_0-merror:0.3 validation_0-mlogloss:0.757709 [39] validation_0-merror:0.3 validation_0-mlogloss:0.759334 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.753134 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05208 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01462 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976865 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.944249 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.91787 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890971 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.868298 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.849792 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.832987 [9] validation_0-merror:0.3 validation_0-mlogloss:0.822244 [10] validation_0-merror:0.3 validation_0-mlogloss:0.812393 [11] validation_0-merror:0.3 validation_0-mlogloss:0.796054 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.784809 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.77118 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.761124 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.755378 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.746621 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.741897 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.734011 [19] validation_0-merror:0.3 validation_0-mlogloss:0.727659 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.720016 [21] validation_0-merror:0.3 validation_0-mlogloss:0.716809 [22] validation_0-merror:0.3 validation_0-mlogloss:0.718075 [23] validation_0-merror:0.3 validation_0-mlogloss:0.712866 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708966 [25] validation_0-merror:0.3 validation_0-mlogloss:0.703303 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699872 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.69718 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.694126 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.688972 [30] validation_0-merror:0.25 validation_0-mlogloss:0.688998 [31] validation_0-merror:0.25 validation_0-mlogloss:0.687507 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.685116 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.684748 [34] validation_0-merror:0.25 validation_0-mlogloss:0.684688 [35] validation_0-merror:0.25 validation_0-mlogloss:0.684606 [36] validation_0-merror:0.25 validation_0-mlogloss:0.683102 [37] validation_0-merror:0.25 validation_0-mlogloss:0.684285 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.687303 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.687467 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.688709 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.692514 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.683102 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05451 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02035 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981551 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95558 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92907 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.904864 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885443 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866596 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854469 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842306 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828728 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814479 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802527 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794781 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792053 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782216 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779355 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775933 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774155 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769881 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763844 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762333 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760803 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.762021 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763286 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.764982 [26] validation_0-merror:0.35 validation_0-mlogloss:0.76629 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.767934 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760803 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02871 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993858 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967238 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942279 [5] validation_0-merror:0.4 validation_0-mlogloss:0.916403 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894376 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.874078 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8531 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849246 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834614 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821634 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808041 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798679 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784257 [15] validation_0-merror:0.3 validation_0-mlogloss:0.780195 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773547 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768337 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766618 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762968 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762422 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.758031 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.757299 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.752955 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.750319 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.747876 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.7468 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.747232 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.745129 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.747015 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.748975 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.748783 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.75119 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.746205 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.745129 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971498 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949281 [5] validation_0-merror:0.4 validation_0-mlogloss:0.923215 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.905275 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887654 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872411 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85279 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843008 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831078 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81991 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812079 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800491 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790849 [16] validation_0-merror:0.35 validation_0-mlogloss:0.781497 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771629 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769195 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766104 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757588 [21] validation_0-merror:0.35 validation_0-mlogloss:0.751672 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74687 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744046 [24] validation_0-merror:0.3 validation_0-mlogloss:0.737095 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.739686 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736469 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735389 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736328 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.729756 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728809 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726223 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.725679 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722458 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724139 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.728755 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729736 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.727664 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.724928 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722458 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987037 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962918 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927735 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906595 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885309 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866029 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847532 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828427 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811891 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.800707 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79348 [13] validation_0-merror:0.35 validation_0-mlogloss:0.78515 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778586 [15] validation_0-merror:0.35 validation_0-mlogloss:0.771843 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767669 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760426 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.761106 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.756546 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751644 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.746119 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.747674 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.750263 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753888 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.751859 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.748736 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.746119 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989141 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967017 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940669 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920902 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902784 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887806 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870961 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842133 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832306 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.814169 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799288 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788728 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789697 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781899 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772429 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766859 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761355 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755934 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751063 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749103 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.743209 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741437 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741967 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743641 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739624 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.740873 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735673 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.733066 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726842 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.724676 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727922 [34] validation_0-merror:0.35 validation_0-mlogloss:0.729645 [35] validation_0-merror:0.35 validation_0-mlogloss:0.732093 [36] validation_0-merror:0.35 validation_0-mlogloss:0.731232 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728367 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.724676 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01354 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951648 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928901 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902918 [6] validation_0-merror:0.3 validation_0-mlogloss:0.881911 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866461 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855331 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839236 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829027 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.817619 [12] validation_0-merror:0.3 validation_0-mlogloss:0.805797 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79681 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788976 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78106 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775919 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767057 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765217 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761806 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755433 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750761 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.743072 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.73909 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.735774 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732557 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.725567 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.727726 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730459 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727182 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721811 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.717686 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714785 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711726 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710188 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.706814 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.70469 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.702554 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704387 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.695474 [40] validation_0-merror:0.3 validation_0-mlogloss:0.696613 [41] validation_0-merror:0.3 validation_0-mlogloss:0.693056 [42] validation_0-merror:0.3 validation_0-mlogloss:0.692082 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.692824 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.692532 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693285 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695843 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.694577 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.692082 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.983061 [3] validation_0-merror:0.35 validation_0-mlogloss:0.950594 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919652 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.895822 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880299 [7] validation_0-merror:0.35 validation_0-mlogloss:0.858865 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.84043 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826015 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.817638 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813227 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802329 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797933 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.793736 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.783223 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.781298 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.7791 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.777408 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.771343 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760177 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76024 [22] validation_0-merror:0.35 validation_0-mlogloss:0.758977 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757309 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756677 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757381 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753962 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750629 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750666 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.753874 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753314 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751974 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.752773 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750629 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01623 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986374 [3] validation_0-merror:0.3 validation_0-mlogloss:0.959195 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938242 [5] validation_0-merror:0.3 validation_0-mlogloss:0.913545 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.895071 [7] validation_0-merror:0.3 validation_0-mlogloss:0.881944 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860729 [9] validation_0-merror:0.25 validation_0-mlogloss:0.84847 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.834108 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.824175 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.812008 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802619 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791884 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786529 [16] validation_0-merror:0.3 validation_0-mlogloss:0.782962 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77653 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.776195 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772549 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764813 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.765893 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.763094 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.756858 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.755867 [25] validation_0-merror:0.3 validation_0-mlogloss:0.756396 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749368 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747008 [28] validation_0-merror:0.3 validation_0-mlogloss:0.742077 [29] validation_0-merror:0.3 validation_0-mlogloss:0.735939 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738093 [31] validation_0-merror:0.3 validation_0-mlogloss:0.733935 [32] validation_0-merror:0.3 validation_0-mlogloss:0.732152 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734759 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728946 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.733462 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.732298 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.731324 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.731227 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.734612 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728946 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.05835 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01967 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953593 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927771 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902488 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882928 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864889 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.845839 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834185 [10] validation_0-merror:0.3 validation_0-mlogloss:0.822572 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.80453 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.790152 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.777683 [14] validation_0-merror:0.3 validation_0-mlogloss:0.768416 [15] validation_0-merror:0.3 validation_0-mlogloss:0.761769 [16] validation_0-merror:0.3 validation_0-mlogloss:0.751999 [17] validation_0-merror:0.3 validation_0-mlogloss:0.745413 [18] validation_0-merror:0.3 validation_0-mlogloss:0.742354 [19] validation_0-merror:0.3 validation_0-mlogloss:0.735712 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731895 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728509 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725531 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72202 [24] validation_0-merror:0.3 validation_0-mlogloss:0.717993 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.71297 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.709671 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.70881 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707218 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70606 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704545 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706457 [32] validation_0-merror:0.3 validation_0-mlogloss:0.707419 [33] validation_0-merror:0.3 validation_0-mlogloss:0.707286 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711001 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.711174 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.704545 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05229 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01646 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979196 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953481 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929274 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906697 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886859 [7] validation_0-merror:0.4 validation_0-mlogloss:0.869989 [8] validation_0-merror:0.4 validation_0-mlogloss:0.858115 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849547 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834723 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821052 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808864 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.804333 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798983 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794639 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.792338 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.788321 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787569 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.786877 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784114 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.782607 [22] validation_0-merror:0.35 validation_0-mlogloss:0.782825 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.781914 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777657 [25] validation_0-merror:0.4 validation_0-mlogloss:0.778347 [26] validation_0-merror:0.4 validation_0-mlogloss:0.779612 [27] validation_0-merror:0.4 validation_0-mlogloss:0.781983 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.782149 [29] validation_0-merror:0.4 validation_0-mlogloss:0.784144 Stopping. Best iteration: [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777657 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985948 [3] validation_0-merror:0.3 validation_0-mlogloss:0.960731 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.930624 [5] validation_0-merror:0.3 validation_0-mlogloss:0.911368 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891475 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874981 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857169 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851191 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838368 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829144 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82117 [13] validation_0-merror:0.3 validation_0-mlogloss:0.815861 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800211 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.799562 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.792135 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.784663 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.784808 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.785768 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.78075 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.778083 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.772094 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.763242 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.7588 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.753036 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.751607 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.751482 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746576 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.746876 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.747156 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.747464 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.745327 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.743772 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.742757 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.740511 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.738335 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.738164 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.73913 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.740415 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.739809 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.739251 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.742224 Stopping. Best iteration: [37] validation_0-merror:0.283333 validation_0-mlogloss:0.738164 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97214 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951294 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930824 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912837 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.895973 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876292 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861137 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851289 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.83894 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826642 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815488 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805579 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796668 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.785457 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776253 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772856 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770574 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761104 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756077 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.75182 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746007 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.739094 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738154 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735958 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734327 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73074 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724053 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720699 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.717976 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715231 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.715774 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.717919 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.71827 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.716519 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716837 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715231 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02678 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989515 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962797 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930788 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908573 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886504 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865404 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846035 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829489 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813354 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804337 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796201 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788353 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.786155 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779003 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775208 [17] validation_0-merror:0.35 validation_0-mlogloss:0.766212 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765077 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759769 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75366 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747773 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748012 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.749018 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750609 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749109 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.7482 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.747773 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99025 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971313 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949898 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927175 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904272 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887546 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867542 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852436 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833316 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823463 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812217 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799058 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788694 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788239 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780322 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770949 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764345 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759867 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757361 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750058 [22] validation_0-merror:0.35 validation_0-mlogloss:0.750305 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742666 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741275 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744173 [26] validation_0-merror:0.35 validation_0-mlogloss:0.743248 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739884 [28] validation_0-merror:0.35 validation_0-mlogloss:0.736839 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.73239 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.729256 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.727157 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.724757 [33] validation_0-merror:0.35 validation_0-mlogloss:0.727037 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.725081 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.7288 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.729813 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728703 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.724757 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01932 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989697 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954495 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930503 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905569 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888485 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872781 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856553 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839801 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829886 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815729 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803256 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797265 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786429 [15] validation_0-merror:0.3 validation_0-mlogloss:0.777001 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769432 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76047 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758352 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755861 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750748 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748519 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73724 [23] validation_0-merror:0.3 validation_0-mlogloss:0.733828 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729723 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726267 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723715 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724684 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72434 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721839 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719059 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713629 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70796 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.70654 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705192 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700687 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697732 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.695642 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697483 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.691576 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692654 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.687891 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.688557 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688117 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688434 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689319 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690068 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.687891 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01778 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987977 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956837 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928688 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908532 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893118 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87098 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852168 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835153 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822551 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814907 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803313 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79921 [14] validation_0-merror:0.35 validation_0-mlogloss:0.79596 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787746 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78443 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.781175 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776899 [19] validation_0-merror:0.4 validation_0-mlogloss:0.772453 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.762912 [21] validation_0-merror:0.35 validation_0-mlogloss:0.75934 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752829 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.753809 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754436 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.753731 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.750852 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.748061 [28] validation_0-merror:0.35 validation_0-mlogloss:0.746637 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.745564 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.748388 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746633 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.746163 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.749482 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.749216 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.745564 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930535 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.911475 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898484 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.877445 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865537 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854277 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.843361 [12] validation_0-merror:0.25 validation_0-mlogloss:0.831685 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822197 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812607 [15] validation_0-merror:0.3 validation_0-mlogloss:0.806168 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.799854 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.79037 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788492 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.785484 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777294 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.776733 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.772914 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765792 [24] validation_0-merror:0.3 validation_0-mlogloss:0.764678 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765751 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.76063 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757982 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.751959 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75316 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.748554 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.747003 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.748643 [34] validation_0-merror:0.3 validation_0-mlogloss:0.744683 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.750848 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.746587 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.745353 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.74458 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.746927 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.743112 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.742081 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.741747 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.74147 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.747752 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.74506 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.745297 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.744426 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.7423 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.74147 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02053 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98639 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956409 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930045 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906587 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887383 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870031 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852093 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839636 [10] validation_0-merror:0.35 validation_0-mlogloss:0.8292 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811568 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797801 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784759 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.774938 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767476 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.758504 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.748416 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.743602 [19] validation_0-merror:0.3 validation_0-mlogloss:0.736842 [20] validation_0-merror:0.3 validation_0-mlogloss:0.730115 [21] validation_0-merror:0.3 validation_0-mlogloss:0.727823 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726231 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721649 [24] validation_0-merror:0.3 validation_0-mlogloss:0.717624 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711342 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707123 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705938 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704323 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703065 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.702203 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.699974 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.699862 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.699458 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700994 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.700886 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.701373 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698953 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.70051 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.700052 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.701847 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.702872 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.701218 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698953 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952482 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925744 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.901384 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882579 [7] validation_0-merror:0.4 validation_0-mlogloss:0.864736 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852107 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.842391 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.827536 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816138 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.808268 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.80222 [14] validation_0-merror:0.4 validation_0-mlogloss:0.795511 [15] validation_0-merror:0.4 validation_0-mlogloss:0.789542 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.78809 [17] validation_0-merror:0.4 validation_0-mlogloss:0.783805 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783714 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.783742 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781238 [21] validation_0-merror:0.4 validation_0-mlogloss:0.778362 [22] validation_0-merror:0.4 validation_0-mlogloss:0.77672 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.77426 [24] validation_0-merror:0.4 validation_0-mlogloss:0.76934 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.768712 [26] validation_0-merror:0.4 validation_0-mlogloss:0.767687 [27] validation_0-merror:0.4 validation_0-mlogloss:0.769883 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.770568 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.769807 [30] validation_0-merror:0.4 validation_0-mlogloss:0.771488 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.770018 Stopping. Best iteration: [26] validation_0-merror:0.4 validation_0-mlogloss:0.767687 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02603 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990491 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958929 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928603 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907955 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885622 [7] validation_0-merror:0.3 validation_0-mlogloss:0.869538 [8] validation_0-merror:0.3 validation_0-mlogloss:0.851343 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841537 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832675 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.823379 [12] validation_0-merror:0.3 validation_0-mlogloss:0.814654 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810663 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797815 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791563 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.78269 [17] validation_0-merror:0.3 validation_0-mlogloss:0.777247 [18] validation_0-merror:0.3 validation_0-mlogloss:0.776916 [19] validation_0-merror:0.3 validation_0-mlogloss:0.774209 [20] validation_0-merror:0.3 validation_0-mlogloss:0.773786 [21] validation_0-merror:0.3 validation_0-mlogloss:0.768726 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762287 [23] validation_0-merror:0.3 validation_0-mlogloss:0.757575 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751974 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.750542 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.748424 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.746 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.742914 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.741157 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.742944 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.743931 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.744558 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.740086 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.736858 [35] validation_0-merror:0.3 validation_0-mlogloss:0.733517 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.734388 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.734063 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.733181 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.731682 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.731909 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.729392 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.730492 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.732286 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731924 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.731849 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.734034 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.729392 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02266 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992076 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955758 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932038 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905803 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886366 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867715 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.848188 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.828 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818688 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807537 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.795187 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.784124 [14] validation_0-merror:0.3 validation_0-mlogloss:0.775925 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769278 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.757176 [17] validation_0-merror:0.3 validation_0-mlogloss:0.752727 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75211 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748158 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74076 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735216 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729473 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.723308 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.716527 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710137 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709134 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.711467 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707173 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700395 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695342 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690169 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687579 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686853 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.690999 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691707 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691593 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688693 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.686303 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685083 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.689237 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.687062 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.687619 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.689265 [44] validation_0-merror:0.3 validation_0-mlogloss:0.692512 Stopping. Best iteration: [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685083 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02455 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992201 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965592 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931097 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909174 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885099 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870002 [8] validation_0-merror:0.35 validation_0-mlogloss:0.8487 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833978 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824702 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.815906 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.80756 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.799352 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793553 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786627 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.784428 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775904 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77875 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780613 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779894 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779797 [22] validation_0-merror:0.35 validation_0-mlogloss:0.784697 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775904 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01464 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978399 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956889 [4] validation_0-merror:0.3 validation_0-mlogloss:0.924172 [5] validation_0-merror:0.35 validation_0-mlogloss:0.909617 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889286 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882886 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864531 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853638 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840703 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834199 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821571 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811016 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.799754 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802013 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.793227 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.787563 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.782269 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.781907 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.784322 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.787904 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.786004 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.780354 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.778921 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.783788 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.780055 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.780136 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778515 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.776814 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.77184 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.770753 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.767503 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.769838 [34] validation_0-merror:0.35 validation_0-mlogloss:0.772177 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.777856 [36] validation_0-merror:0.35 validation_0-mlogloss:0.77269 [37] validation_0-merror:0.35 validation_0-mlogloss:0.767515 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.767503 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00435 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.974622 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944897 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.9261 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897398 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876349 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.85583 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.839964 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827502 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.814781 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804915 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.7943 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.780925 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.773653 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766655 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.75778 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.754049 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750528 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74912 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744924 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74422 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739016 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.733643 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73205 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.731231 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.725009 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728441 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726433 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727096 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723397 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719613 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714583 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716151 [34] validation_0-merror:0.3 validation_0-mlogloss:0.7175 [35] validation_0-merror:0.3 validation_0-mlogloss:0.718188 [36] validation_0-merror:0.3 validation_0-mlogloss:0.71726 [37] validation_0-merror:0.3 validation_0-mlogloss:0.717362 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.714583 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00829 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.980856 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945835 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914628 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.884342 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.864675 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.847801 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.825371 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.815894 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.809517 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.80927 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805566 [13] validation_0-merror:0.35 validation_0-mlogloss:0.799856 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794989 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786485 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.786336 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786768 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787905 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781129 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774855 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774638 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.772085 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.773744 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.776264 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.77483 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7729 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.773926 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.772085 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01092 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985892 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964046 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935168 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915464 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89888 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.888111 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.871978 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860135 [10] validation_0-merror:0.35 validation_0-mlogloss:0.852195 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840837 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825916 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816352 [14] validation_0-merror:0.35 validation_0-mlogloss:0.80665 [15] validation_0-merror:0.35 validation_0-mlogloss:0.804344 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802237 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.796979 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.792953 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789471 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.790756 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.791771 [22] validation_0-merror:0.35 validation_0-mlogloss:0.789341 [23] validation_0-merror:0.35 validation_0-mlogloss:0.786509 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.786292 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.790193 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.788843 [27] validation_0-merror:0.35 validation_0-mlogloss:0.792842 [28] validation_0-merror:0.35 validation_0-mlogloss:0.791068 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.787007 Stopping. Best iteration: [24] validation_0-merror:0.383333 validation_0-mlogloss:0.786292 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05008 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974435 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941056 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.912612 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885965 [6] validation_0-merror:0.3 validation_0-mlogloss:0.865016 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.842646 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.828871 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821466 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.811407 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.79469 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.78219 [13] validation_0-merror:0.25 validation_0-mlogloss:0.769446 [14] validation_0-merror:0.25 validation_0-mlogloss:0.764769 [15] validation_0-merror:0.25 validation_0-mlogloss:0.753017 [16] validation_0-merror:0.25 validation_0-mlogloss:0.74321 [17] validation_0-merror:0.25 validation_0-mlogloss:0.73833 [18] validation_0-merror:0.25 validation_0-mlogloss:0.734019 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.729469 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.727651 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.723783 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.725118 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.720862 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.717621 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.71699 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.715529 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.71522 [28] validation_0-merror:0.25 validation_0-mlogloss:0.714087 [29] validation_0-merror:0.25 validation_0-mlogloss:0.713076 [30] validation_0-merror:0.25 validation_0-mlogloss:0.714136 [31] validation_0-merror:0.25 validation_0-mlogloss:0.715028 [32] validation_0-merror:0.25 validation_0-mlogloss:0.716224 [33] validation_0-merror:0.25 validation_0-mlogloss:0.7186 [34] validation_0-merror:0.25 validation_0-mlogloss:0.717627 Stopping. Best iteration: [29] validation_0-merror:0.25 validation_0-mlogloss:0.713076 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02353 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987472 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.961686 [4] validation_0-merror:0.35 validation_0-mlogloss:0.933122 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905452 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886723 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867955 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852393 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846147 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837596 [11] validation_0-merror:0.3 validation_0-mlogloss:0.830008 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824056 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816817 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810918 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.810473 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.804938 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799554 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.802244 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799213 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.801444 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.803301 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.804832 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.807183 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.806064 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799213 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06122 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0202 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98175 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954783 [4] validation_0-merror:0.35 validation_0-mlogloss:0.929584 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90161 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877969 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864709 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851801 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841318 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830197 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.826394 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81929 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.817288 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811793 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806372 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.802211 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800884 [18] validation_0-merror:0.35 validation_0-mlogloss:0.802532 [19] validation_0-merror:0.35 validation_0-mlogloss:0.805627 [20] validation_0-merror:0.35 validation_0-mlogloss:0.809187 [21] validation_0-merror:0.35 validation_0-mlogloss:0.808957 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.811252 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800884 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01346 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983075 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949022 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927564 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903237 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886219 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863053 [8] validation_0-merror:0.3 validation_0-mlogloss:0.844673 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830912 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822476 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810499 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799146 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787212 [14] validation_0-merror:0.3 validation_0-mlogloss:0.774782 [15] validation_0-merror:0.3 validation_0-mlogloss:0.765391 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.758647 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.749596 [18] validation_0-merror:0.3 validation_0-mlogloss:0.747414 [19] validation_0-merror:0.3 validation_0-mlogloss:0.745707 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.735605 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.729617 [22] validation_0-merror:0.3 validation_0-mlogloss:0.721188 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713323 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.705309 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.701107 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.693533 [27] validation_0-merror:0.3 validation_0-mlogloss:0.695586 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695544 [29] validation_0-merror:0.3 validation_0-mlogloss:0.691451 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685413 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.680254 [32] validation_0-merror:0.3 validation_0-mlogloss:0.675417 [33] validation_0-merror:0.3 validation_0-mlogloss:0.675332 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678666 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679631 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678896 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674236 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676463 [39] validation_0-merror:0.3 validation_0-mlogloss:0.675732 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677768 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679196 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673622 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.671471 [44] validation_0-merror:0.3 validation_0-mlogloss:0.671618 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.674043 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.675602 [47] validation_0-merror:0.3 validation_0-mlogloss:0.670636 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673017 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.679379 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675828 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.677927 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.676348 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.670636 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05809 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02456 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991414 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965745 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933127 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909563 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.874057 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854949 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83821 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825142 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816378 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805354 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797809 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795065 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.787372 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784903 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.780841 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.778776 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.776798 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775451 [21] validation_0-merror:0.35 validation_0-mlogloss:0.776207 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.77744 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.777121 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775775 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773576 [26] validation_0-merror:0.35 validation_0-mlogloss:0.775951 [27] validation_0-merror:0.35 validation_0-mlogloss:0.776697 [28] validation_0-merror:0.35 validation_0-mlogloss:0.77945 [29] validation_0-merror:0.35 validation_0-mlogloss:0.778176 [30] validation_0-merror:0.35 validation_0-mlogloss:0.77908 Stopping. Best iteration: [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773576 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0537 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01026 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.974695 [3] validation_0-merror:0.25 validation_0-mlogloss:0.959216 [4] validation_0-merror:0.25 validation_0-mlogloss:0.93109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915031 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895306 [7] validation_0-merror:0.35 validation_0-mlogloss:0.88159 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859469 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849627 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83607 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82736 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813714 [13] validation_0-merror:0.3 validation_0-mlogloss:0.801001 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791291 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793703 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783907 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774783 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762159 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.758955 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757973 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759194 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752689 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74858 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.753868 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.75218 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.751433 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747779 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.746129 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.745304 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.745432 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.740419 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.743006 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.7435 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.749435 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.747764 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.746371 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.740419 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04564 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01083 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979352 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.946956 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92828 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904532 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885717 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863178 [8] validation_0-merror:0.35 validation_0-mlogloss:0.844811 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828466 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815148 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803517 [12] validation_0-merror:0.3 validation_0-mlogloss:0.792645 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.783638 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.771893 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.764311 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.753356 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.746524 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.743465 [19] validation_0-merror:0.3 validation_0-mlogloss:0.745004 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741178 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.736466 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729157 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.726405 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.722637 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719897 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715789 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.720876 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.721184 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.721394 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715034 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711281 [32] validation_0-merror:0.3 validation_0-mlogloss:0.706516 [33] validation_0-merror:0.3 validation_0-mlogloss:0.707516 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709026 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706184 [36] validation_0-merror:0.3 validation_0-mlogloss:0.709425 [37] validation_0-merror:0.3 validation_0-mlogloss:0.705274 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.707688 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703777 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.706018 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.703477 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.700621 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.700628 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698128 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696867 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695192 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.69245 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.693086 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692747 [50] validation_0-merror:0.3 validation_0-mlogloss:0.69352 [51] validation_0-merror:0.3 validation_0-mlogloss:0.697608 [52] validation_0-merror:0.3 validation_0-mlogloss:0.695505 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.69245 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00878 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98253 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951352 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920331 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898075 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880347 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.862518 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.843121 [9] validation_0-merror:0.35 validation_0-mlogloss:0.82762 [10] validation_0-merror:0.35 validation_0-mlogloss:0.819687 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816403 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.80938 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80281 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.79822 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791077 [16] validation_0-merror:0.35 validation_0-mlogloss:0.789266 [17] validation_0-merror:0.35 validation_0-mlogloss:0.784491 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784418 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778657 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773697 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773939 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772788 [24] validation_0-merror:0.35 validation_0-mlogloss:0.777458 [25] validation_0-merror:0.35 validation_0-mlogloss:0.77654 [26] validation_0-merror:0.35 validation_0-mlogloss:0.773892 [27] validation_0-merror:0.35 validation_0-mlogloss:0.77713 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.77 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01213 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982856 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932055 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910745 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.888018 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.87289 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.858225 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.848669 [10] validation_0-merror:0.3 validation_0-mlogloss:0.842332 [11] validation_0-merror:0.3 validation_0-mlogloss:0.830488 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.818997 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808942 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798841 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.798111 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792321 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.783876 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784488 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780031 [20] validation_0-merror:0.3 validation_0-mlogloss:0.779287 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.781154 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.779244 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774678 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773768 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.775933 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774546 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.776261 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.770256 [29] validation_0-merror:0.3 validation_0-mlogloss:0.769859 [30] validation_0-merror:0.3 validation_0-mlogloss:0.769812 [31] validation_0-merror:0.3 validation_0-mlogloss:0.77172 [32] validation_0-merror:0.3 validation_0-mlogloss:0.768678 [33] validation_0-merror:0.3 validation_0-mlogloss:0.772736 [34] validation_0-merror:0.3 validation_0-mlogloss:0.772218 [35] validation_0-merror:0.3 validation_0-mlogloss:0.778055 [36] validation_0-merror:0.3 validation_0-mlogloss:0.779397 [37] validation_0-merror:0.3 validation_0-mlogloss:0.780626 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.768678 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01366 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974889 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947902 [4] validation_0-merror:0.3 validation_0-mlogloss:0.917597 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.895079 [6] validation_0-merror:0.3 validation_0-mlogloss:0.875132 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859022 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.843215 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836691 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823584 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808183 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794795 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.78153 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77056 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.760242 [16] validation_0-merror:0.3 validation_0-mlogloss:0.750969 [17] validation_0-merror:0.3 validation_0-mlogloss:0.746678 [18] validation_0-merror:0.3 validation_0-mlogloss:0.742137 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.73999 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.733899 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.73072 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.732358 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732115 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730505 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728142 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724859 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721531 [28] validation_0-merror:0.3 validation_0-mlogloss:0.722072 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719465 [30] validation_0-merror:0.3 validation_0-mlogloss:0.718596 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713129 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712274 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714308 [34] validation_0-merror:0.3 validation_0-mlogloss:0.715706 [35] validation_0-merror:0.3 validation_0-mlogloss:0.717618 [36] validation_0-merror:0.3 validation_0-mlogloss:0.719065 [37] validation_0-merror:0.3 validation_0-mlogloss:0.719143 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.712274 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01858 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982494 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958161 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929186 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903612 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882972 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864655 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85086 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.83888 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827463 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813786 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80124 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794484 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789373 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782208 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779797 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775852 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777053 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.774335 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773604 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774878 [22] validation_0-merror:0.3 validation_0-mlogloss:0.774025 [23] validation_0-merror:0.3 validation_0-mlogloss:0.774287 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772563 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.775813 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777178 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.780024 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.779289 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781226 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772563 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05625 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02196 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983632 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.952637 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922569 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898248 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.877492 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863324 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848759 [9] validation_0-merror:0.35 validation_0-mlogloss:0.842728 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835955 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82335 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812578 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80937 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799614 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792702 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781228 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773928 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772736 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771006 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770908 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7691 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765771 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.762161 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755789 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756125 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755664 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.755818 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.756341 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.758084 [30] validation_0-merror:0.35 validation_0-mlogloss:0.761928 [31] validation_0-merror:0.35 validation_0-mlogloss:0.763725 Stopping. Best iteration: [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755664 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989599 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958748 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935644 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909343 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89193 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872056 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856727 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843063 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834221 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823854 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812167 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807803 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800679 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790989 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780602 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773061 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771578 [19] validation_0-merror:0.3 validation_0-mlogloss:0.7668 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757205 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753118 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.747102 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733463 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.727277 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.726164 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723329 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726448 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.727318 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.721693 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.717993 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.713697 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712015 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.711087 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.712626 [35] validation_0-merror:0.3 validation_0-mlogloss:0.715292 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717577 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714784 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715338 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.711087 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.986742 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962026 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932652 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909479 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885505 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.865056 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846753 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828384 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813049 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804638 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799511 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.790973 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.786861 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.778813 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.775408 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.77382 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775934 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773271 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767789 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764899 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.7651 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766259 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766931 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.765949 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766074 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764899 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01812 [2] validation_0-merror:0.3 validation_0-mlogloss:0.983716 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.964582 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939545 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917609 [6] validation_0-merror:0.3 validation_0-mlogloss:0.898651 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884053 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864384 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853015 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.836147 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.826334 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.811614 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.798136 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.786319 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78862 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780978 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.769938 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764783 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757545 [20] validation_0-merror:0.3 validation_0-mlogloss:0.749175 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.747171 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.744138 [23] validation_0-merror:0.3 validation_0-mlogloss:0.736972 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733114 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.734695 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735412 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.732752 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728479 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725813 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724353 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720989 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717193 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720905 [34] validation_0-merror:0.3 validation_0-mlogloss:0.719871 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726366 [36] validation_0-merror:0.3 validation_0-mlogloss:0.724796 [37] validation_0-merror:0.3 validation_0-mlogloss:0.720762 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.717193 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04786 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01034 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983116 [3] validation_0-merror:0.3 validation_0-mlogloss:0.945637 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.926274 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.902329 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.884459 [7] validation_0-merror:0.3 validation_0-mlogloss:0.862626 [8] validation_0-merror:0.3 validation_0-mlogloss:0.844143 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830632 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818452 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805808 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794669 [13] validation_0-merror:0.3 validation_0-mlogloss:0.7864 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776524 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766416 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.75459 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.746748 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.743433 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.744791 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737452 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735995 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731251 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726808 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723252 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72327 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718877 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721683 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.719475 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718475 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714053 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708341 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705979 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704603 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703626 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.699376 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697797 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696427 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698222 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697323 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.698896 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.697134 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696926 Stopping. Best iteration: [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696427 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04893 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00575 [2] validation_0-merror:0.3 validation_0-mlogloss:0.975982 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94713 [4] validation_0-merror:0.35 validation_0-mlogloss:0.91567 [5] validation_0-merror:0.35 validation_0-mlogloss:0.889593 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.874145 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855614 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.83396 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.817856 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.810136 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804896 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793443 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786895 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782377 [15] validation_0-merror:0.35 validation_0-mlogloss:0.773755 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773014 [17] validation_0-merror:0.35 validation_0-mlogloss:0.76856 [18] validation_0-merror:0.35 validation_0-mlogloss:0.766875 [19] validation_0-merror:0.35 validation_0-mlogloss:0.761926 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75189 [21] validation_0-merror:0.35 validation_0-mlogloss:0.751027 [22] validation_0-merror:0.35 validation_0-mlogloss:0.749805 [23] validation_0-merror:0.35 validation_0-mlogloss:0.74962 [24] validation_0-merror:0.35 validation_0-mlogloss:0.751289 [25] validation_0-merror:0.35 validation_0-mlogloss:0.752285 [26] validation_0-merror:0.35 validation_0-mlogloss:0.74997 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748281 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745005 [29] validation_0-merror:0.35 validation_0-mlogloss:0.742073 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.744165 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750343 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748022 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.747079 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.747161 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.742073 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01232 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984945 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.96007 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938558 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.914111 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.89654 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882858 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.861157 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.850391 [10] validation_0-merror:0.3 validation_0-mlogloss:0.841994 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.828679 [12] validation_0-merror:0.25 validation_0-mlogloss:0.814573 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803333 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.794451 [15] validation_0-merror:0.3 validation_0-mlogloss:0.793963 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790543 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.783465 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783554 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77959 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775839 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.77626 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771127 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763432 [24] validation_0-merror:0.3 validation_0-mlogloss:0.758895 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760719 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754461 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.752287 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.751874 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749318 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.750453 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.744581 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.742771 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.745912 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742251 [35] validation_0-merror:0.3 validation_0-mlogloss:0.746318 [36] validation_0-merror:0.3 validation_0-mlogloss:0.74556 [37] validation_0-merror:0.3 validation_0-mlogloss:0.744658 [38] validation_0-merror:0.3 validation_0-mlogloss:0.745486 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.748827 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742251 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01431 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976659 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945568 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919555 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.892743 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.869482 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.852088 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.835874 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828325 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.815301 [11] validation_0-merror:0.3 validation_0-mlogloss:0.801175 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.787305 [13] validation_0-merror:0.3 validation_0-mlogloss:0.778672 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.770555 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.76069 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.753168 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.746341 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.738804 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.728862 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.722114 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.717529 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.713521 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.710341 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.706101 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.703913 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.697841 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697466 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695143 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69347 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.694764 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.692693 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.687605 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687037 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.688952 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691131 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691835 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693657 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696947 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687037 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.054 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0179 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979699 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953197 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927162 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902489 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881832 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.86306 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851059 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840701 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826871 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812356 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802794 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795551 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793484 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784726 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783267 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780942 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778836 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.774775 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.770858 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768906 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.768454 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.768415 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767545 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.768845 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.770557 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.773484 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.773251 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.779633 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767545 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02871 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993858 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967238 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942279 [5] validation_0-merror:0.4 validation_0-mlogloss:0.916403 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894376 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.874078 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851813 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847939 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833317 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820376 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807648 [13] validation_0-merror:0.3 validation_0-mlogloss:0.798165 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782392 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.777911 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.772262 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.769146 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.763938 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.758061 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.757081 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.755795 [22] validation_0-merror:0.25 validation_0-mlogloss:0.752586 [23] validation_0-merror:0.25 validation_0-mlogloss:0.748838 [24] validation_0-merror:0.25 validation_0-mlogloss:0.747324 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.746961 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.746352 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.747582 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.744782 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.747563 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.748036 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.752048 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.754217 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.752757 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.744782 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971498 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949281 [5] validation_0-merror:0.4 validation_0-mlogloss:0.923215 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.905275 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887654 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872411 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85279 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843008 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831078 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81991 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812079 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800491 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790849 [16] validation_0-merror:0.35 validation_0-mlogloss:0.781497 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771629 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769195 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766104 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757588 [21] validation_0-merror:0.35 validation_0-mlogloss:0.751672 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74687 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744046 [24] validation_0-merror:0.3 validation_0-mlogloss:0.737095 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.739686 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736469 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735389 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736328 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.729756 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728809 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726223 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.725679 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722458 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724139 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.728755 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729736 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.727664 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.724928 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722458 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987037 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962918 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927735 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906595 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885309 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866029 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847532 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828427 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811891 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.800707 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79348 [13] validation_0-merror:0.35 validation_0-mlogloss:0.78515 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778586 [15] validation_0-merror:0.35 validation_0-mlogloss:0.771843 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767669 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760426 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.761106 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.756546 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751644 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.746119 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.747674 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.750263 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753888 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.751859 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.748736 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.746119 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989141 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967017 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940669 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920902 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902784 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887806 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870961 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842133 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832306 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815106 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800243 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788627 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789593 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781825 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772391 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766832 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76135 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755852 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750962 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749008 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.743104 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741433 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741952 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74365 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739642 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.74089 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735654 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.733001 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726804 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724607 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727802 [34] validation_0-merror:0.35 validation_0-mlogloss:0.729481 [35] validation_0-merror:0.35 validation_0-mlogloss:0.73184 [36] validation_0-merror:0.35 validation_0-mlogloss:0.729968 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727177 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724607 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01354 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951444 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928662 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902438 [6] validation_0-merror:0.3 validation_0-mlogloss:0.881803 [7] validation_0-merror:0.3 validation_0-mlogloss:0.865983 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854835 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837133 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826914 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.816169 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804277 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.795323 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787508 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779547 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773573 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764533 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762711 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.7594 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752877 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748086 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741468 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.737683 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731193 [25] validation_0-merror:0.35 validation_0-mlogloss:0.728149 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724025 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.726361 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728619 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724875 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719412 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715329 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712274 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70929 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707616 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.704165 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702072 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700028 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702163 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.693354 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694474 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.690992 [42] validation_0-merror:0.3 validation_0-mlogloss:0.690052 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688977 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688729 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689142 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690182 [47] validation_0-merror:0.3 validation_0-mlogloss:0.688721 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.685153 [49] validation_0-merror:0.3 validation_0-mlogloss:0.683447 [50] validation_0-merror:0.3 validation_0-mlogloss:0.684602 [51] validation_0-merror:0.3 validation_0-mlogloss:0.687134 [52] validation_0-merror:0.3 validation_0-mlogloss:0.682486 [53] validation_0-merror:0.3 validation_0-mlogloss:0.685402 [54] validation_0-merror:0.3 validation_0-mlogloss:0.681785 [55] validation_0-merror:0.3 validation_0-mlogloss:0.682021 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.682892 [57] validation_0-merror:0.3 validation_0-mlogloss:0.683721 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.68606 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.687238 Stopping. Best iteration: [54] validation_0-merror:0.3 validation_0-mlogloss:0.681785 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.983237 [3] validation_0-merror:0.35 validation_0-mlogloss:0.950758 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919583 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.896173 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880664 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859294 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.840928 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826606 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818244 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.812791 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.803241 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798584 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797352 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.786757 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.781652 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.778258 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.776792 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.770759 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759904 [21] validation_0-merror:0.35 validation_0-mlogloss:0.759999 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.758668 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761601 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.7621 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763224 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.760449 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755733 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.755189 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.756243 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.756882 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755596 [32] validation_0-merror:0.35 validation_0-mlogloss:0.755876 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.756265 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.755189 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01623 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986374 [3] validation_0-merror:0.3 validation_0-mlogloss:0.959195 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938242 [5] validation_0-merror:0.3 validation_0-mlogloss:0.913545 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.895071 [7] validation_0-merror:0.3 validation_0-mlogloss:0.881944 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860729 [9] validation_0-merror:0.25 validation_0-mlogloss:0.84847 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.834108 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.824175 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.812008 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.802619 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791884 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786529 [16] validation_0-merror:0.3 validation_0-mlogloss:0.782962 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77653 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.776195 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772549 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764813 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.765893 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.763094 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.756858 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.755867 [25] validation_0-merror:0.3 validation_0-mlogloss:0.756396 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749368 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747008 [28] validation_0-merror:0.3 validation_0-mlogloss:0.742077 [29] validation_0-merror:0.3 validation_0-mlogloss:0.735939 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738093 [31] validation_0-merror:0.3 validation_0-mlogloss:0.733935 [32] validation_0-merror:0.3 validation_0-mlogloss:0.732152 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734759 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728946 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.733462 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.732298 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.731324 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.731227 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.734612 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728946 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02096 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986859 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955203 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931009 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908705 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890681 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871725 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853436 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842508 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831155 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812095 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797146 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784163 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77496 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767438 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760509 [17] validation_0-merror:0.3 validation_0-mlogloss:0.755089 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749714 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742161 [20] validation_0-merror:0.3 validation_0-mlogloss:0.736984 [21] validation_0-merror:0.3 validation_0-mlogloss:0.733281 [22] validation_0-merror:0.3 validation_0-mlogloss:0.730273 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728035 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723676 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720762 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717169 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715796 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713917 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712523 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712171 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711183 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710734 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712836 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714694 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71454 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714301 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712059 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.710734 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01518 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978093 [3] validation_0-merror:0.4 validation_0-mlogloss:0.95441 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930243 [5] validation_0-merror:0.4 validation_0-mlogloss:0.906937 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.890654 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.875996 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.862111 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.854059 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838855 [11] validation_0-merror:0.35 validation_0-mlogloss:0.825185 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815893 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.805306 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.801993 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.798034 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.796223 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.791887 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.79213 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791675 [20] validation_0-merror:0.35 validation_0-mlogloss:0.791213 [21] validation_0-merror:0.35 validation_0-mlogloss:0.78976 [22] validation_0-merror:0.35 validation_0-mlogloss:0.790282 [23] validation_0-merror:0.35 validation_0-mlogloss:0.790654 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.788489 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.788746 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.790563 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.793144 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.796359 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.799026 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.788489 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985948 [3] validation_0-merror:0.3 validation_0-mlogloss:0.960731 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.930624 [5] validation_0-merror:0.3 validation_0-mlogloss:0.911368 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891475 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874981 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.857852 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851864 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839029 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829811 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824101 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817288 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.801572 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.800906 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.793912 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.786881 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.783313 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.780205 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.776808 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.774235 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.768299 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.759206 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.756329 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.754116 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.752993 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.750414 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746645 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.744043 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.745187 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.744405 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.742581 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.740924 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.740084 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.737576 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.737002 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.737025 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.738243 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.736823 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.734533 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.733186 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.734945 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.737089 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.738333 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.741204 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.741254 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.733186 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97214 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951294 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930824 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912837 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.895973 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876292 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861137 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851289 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.83894 [12] validation_0-merror:0.3 validation_0-mlogloss:0.826642 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815488 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805579 [15] validation_0-merror:0.3 validation_0-mlogloss:0.796668 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.785457 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776253 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772856 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770574 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761104 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756077 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.75182 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746007 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.739094 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738154 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735958 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734327 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73074 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724053 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720699 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.717976 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715231 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.715774 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.717919 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.71827 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.716519 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716837 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.715231 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02678 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989515 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962797 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930788 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908573 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886504 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865404 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846035 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829489 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813354 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804337 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796201 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788353 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.786155 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779003 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775208 [17] validation_0-merror:0.35 validation_0-mlogloss:0.766212 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765077 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759769 [20] validation_0-merror:0.35 validation_0-mlogloss:0.75366 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747773 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748012 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.749018 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750609 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749109 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.7482 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.747773 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.99025 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971313 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.949898 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927175 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904272 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887546 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867542 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852436 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833316 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823463 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812217 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799058 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788694 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788239 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780322 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770949 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764345 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759867 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757361 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750058 [22] validation_0-merror:0.35 validation_0-mlogloss:0.750305 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742666 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741275 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.744173 [26] validation_0-merror:0.35 validation_0-mlogloss:0.743248 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739884 [28] validation_0-merror:0.35 validation_0-mlogloss:0.736839 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.73239 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.729256 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.727157 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.724757 [33] validation_0-merror:0.35 validation_0-mlogloss:0.727037 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.725081 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.7288 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.729813 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728703 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.724757 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01932 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989697 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954495 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930503 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905319 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888224 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872754 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856508 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839126 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829233 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815072 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802593 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796621 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785814 [15] validation_0-merror:0.3 validation_0-mlogloss:0.776402 [16] validation_0-merror:0.3 validation_0-mlogloss:0.76884 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.759927 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757761 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757387 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752245 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.750018 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739747 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73635 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732268 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728836 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726226 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727255 [28] validation_0-merror:0.3 validation_0-mlogloss:0.727597 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725073 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722462 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716952 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711321 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710738 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709361 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.704803 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701788 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699654 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.7014 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700584 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.701711 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.695785 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.695363 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69482 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695115 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695906 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.696596 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.693396 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.690225 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.690523 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.690541 [51] validation_0-merror:0.3 validation_0-mlogloss:0.691001 [52] validation_0-merror:0.3 validation_0-mlogloss:0.689629 [53] validation_0-merror:0.3 validation_0-mlogloss:0.691487 [54] validation_0-merror:0.3 validation_0-mlogloss:0.687364 [55] validation_0-merror:0.3 validation_0-mlogloss:0.686233 [56] validation_0-merror:0.3 validation_0-mlogloss:0.687931 [57] validation_0-merror:0.3 validation_0-mlogloss:0.688282 [58] validation_0-merror:0.3 validation_0-mlogloss:0.691042 [59] validation_0-merror:0.3 validation_0-mlogloss:0.690144 [60] validation_0-merror:0.3 validation_0-mlogloss:0.687544 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.686233 [0] validation_0-merror:0.35 validation_0-mlogloss:1.06022 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01778 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987977 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956837 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927562 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907444 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.892037 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.869903 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851106 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834109 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821493 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813853 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802261 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797805 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794542 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786356 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.783019 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779751 [18] validation_0-merror:0.4 validation_0-mlogloss:0.775458 [19] validation_0-merror:0.4 validation_0-mlogloss:0.771005 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.761481 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75792 [22] validation_0-merror:0.35 validation_0-mlogloss:0.751425 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.752371 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752996 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752274 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.749366 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.746559 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745131 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.744026 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.746839 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744551 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74405 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.747367 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.748927 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.744026 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930535 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.911475 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898484 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.877445 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865537 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854277 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.843361 [12] validation_0-merror:0.25 validation_0-mlogloss:0.831685 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822197 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.812607 [15] validation_0-merror:0.3 validation_0-mlogloss:0.806168 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.799854 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.79037 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788492 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.785484 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.777294 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.776733 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.772914 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765792 [24] validation_0-merror:0.3 validation_0-mlogloss:0.764678 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765751 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.76063 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757982 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.751959 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75316 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.748554 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.747003 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.748643 [34] validation_0-merror:0.3 validation_0-mlogloss:0.744683 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.750848 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.746587 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.745353 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.74458 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.746927 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.743112 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.742081 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.741747 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.74147 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.747752 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.74506 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.745297 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.744426 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.7423 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.74147 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02053 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98639 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956409 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928944 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905565 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887115 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869761 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852871 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841027 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830527 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810885 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797145 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.783694 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.774622 [15] validation_0-merror:0.3 validation_0-mlogloss:0.766127 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756401 [17] validation_0-merror:0.3 validation_0-mlogloss:0.748836 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.742746 [19] validation_0-merror:0.3 validation_0-mlogloss:0.736035 [20] validation_0-merror:0.3 validation_0-mlogloss:0.731271 [21] validation_0-merror:0.3 validation_0-mlogloss:0.727721 [22] validation_0-merror:0.3 validation_0-mlogloss:0.724981 [23] validation_0-merror:0.3 validation_0-mlogloss:0.720244 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715355 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710374 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.708327 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705108 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.702999 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701767 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.70113 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698934 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.698113 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697479 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700437 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.699015 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699737 [37] validation_0-merror:0.3 validation_0-mlogloss:0.699975 [38] validation_0-merror:0.3 validation_0-mlogloss:0.699512 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.697479 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952482 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925744 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.901384 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882579 [7] validation_0-merror:0.4 validation_0-mlogloss:0.864736 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853251 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843518 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.828646 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.817698 [12] validation_0-merror:0.4 validation_0-mlogloss:0.811276 [13] validation_0-merror:0.4 validation_0-mlogloss:0.803109 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.796426 [15] validation_0-merror:0.4 validation_0-mlogloss:0.790691 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.788547 [17] validation_0-merror:0.4 validation_0-mlogloss:0.783567 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.782377 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.780628 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.779302 [21] validation_0-merror:0.4 validation_0-mlogloss:0.776842 [22] validation_0-merror:0.4 validation_0-mlogloss:0.775245 [23] validation_0-merror:0.4 validation_0-mlogloss:0.771369 [24] validation_0-merror:0.4 validation_0-mlogloss:0.76603 [25] validation_0-merror:0.4 validation_0-mlogloss:0.765695 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.765908 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.768213 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.769058 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.768887 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.768387 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.765695 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02603 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990491 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958929 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928603 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907955 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885622 [7] validation_0-merror:0.3 validation_0-mlogloss:0.869538 [8] validation_0-merror:0.3 validation_0-mlogloss:0.851343 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841537 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832675 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.823379 [12] validation_0-merror:0.3 validation_0-mlogloss:0.814654 [13] validation_0-merror:0.3 validation_0-mlogloss:0.810663 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797815 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791563 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.78269 [17] validation_0-merror:0.3 validation_0-mlogloss:0.777247 [18] validation_0-merror:0.3 validation_0-mlogloss:0.776916 [19] validation_0-merror:0.3 validation_0-mlogloss:0.774209 [20] validation_0-merror:0.3 validation_0-mlogloss:0.773786 [21] validation_0-merror:0.3 validation_0-mlogloss:0.768726 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762287 [23] validation_0-merror:0.3 validation_0-mlogloss:0.757575 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751974 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.750542 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.748424 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.746 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.742914 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.741157 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.742944 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.743931 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.744558 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.740086 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.736858 [35] validation_0-merror:0.3 validation_0-mlogloss:0.733517 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.734388 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.734063 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.733181 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.731682 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.731909 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.729392 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.730492 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.732286 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731924 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.731849 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.734034 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.729392 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02496 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998763 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965218 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944513 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920399 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901523 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885842 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852847 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842449 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82766 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815737 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808209 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796061 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781833 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773846 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76329 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759566 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748486 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742803 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733742 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72693 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718211 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.711928 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705198 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703151 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699906 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691985 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688949 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.685004 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680844 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680004 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.68006 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.68186 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.681799 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.676315 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.675992 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.673862 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67006 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.66973 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664759 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.664335 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665333 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664082 [46] validation_0-merror:0.25 validation_0-mlogloss:0.665663 [47] validation_0-merror:0.25 validation_0-mlogloss:0.661705 [48] validation_0-merror:0.25 validation_0-mlogloss:0.660094 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.664328 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.661897 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.66709 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.667153 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.669201 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.660094 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960764 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912794 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892119 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.874686 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.857947 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840138 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826236 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813742 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798427 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79209 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786537 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77761 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773709 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767393 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765581 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762178 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759453 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754169 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.754989 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.752589 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75506 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750224 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743638 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.738791 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733774 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73609 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.73743 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735407 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734959 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.730424 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.732774 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73355 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.727141 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728933 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.72823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.72446 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.724424 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.720822 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.719949 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.71564 [44] validation_0-merror:0.35 validation_0-mlogloss:0.717871 [45] validation_0-merror:0.35 validation_0-mlogloss:0.71893 [46] validation_0-merror:0.35 validation_0-mlogloss:0.725298 [47] validation_0-merror:0.35 validation_0-mlogloss:0.725351 [48] validation_0-merror:0.35 validation_0-mlogloss:0.726085 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.71564 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06252 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02418 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990121 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966782 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941027 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918044 [6] validation_0-merror:0.3 validation_0-mlogloss:0.896848 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.880657 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.864328 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85096 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832307 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.821503 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81062 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793255 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78472 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781833 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773133 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767838 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757262 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750612 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747985 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741256 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736934 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727849 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726378 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.72425 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.721865 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720266 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715872 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709834 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703318 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697473 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69227 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694726 [34] validation_0-merror:0.3 validation_0-mlogloss:0.692043 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691857 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683621 [37] validation_0-merror:0.3 validation_0-mlogloss:0.68059 [38] validation_0-merror:0.3 validation_0-mlogloss:0.679016 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677673 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678169 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673696 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673216 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668324 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.664713 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664434 [46] validation_0-merror:0.3 validation_0-mlogloss:0.666162 [47] validation_0-merror:0.3 validation_0-mlogloss:0.663991 [48] validation_0-merror:0.3 validation_0-mlogloss:0.663308 [49] validation_0-merror:0.3 validation_0-mlogloss:0.662975 [50] validation_0-merror:0.3 validation_0-mlogloss:0.660804 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660804 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656654 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.658047 [54] validation_0-merror:0.3 validation_0-mlogloss:0.662507 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.66025 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.657942 [57] validation_0-merror:0.3 validation_0-mlogloss:0.657301 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656654 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961435 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940231 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918891 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899607 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879108 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862226 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846767 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834201 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820309 [12] validation_0-merror:0.35 validation_0-mlogloss:0.808977 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801437 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788053 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765651 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756835 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752274 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749395 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743496 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737617 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729695 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72454 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703669 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702768 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703149 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.700639 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694135 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689013 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681853 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.679438 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676461 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673333 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.67222 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.673766 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.674689 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.671915 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669046 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.665922 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665697 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.666672 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.662696 [45] validation_0-merror:0.3 validation_0-mlogloss:0.661308 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.659428 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.657521 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.6542 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654103 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653303 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.655764 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653048 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656027 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.655872 [55] validation_0-merror:0.25 validation_0-mlogloss:0.654755 [56] validation_0-merror:0.25 validation_0-mlogloss:0.656577 [57] validation_0-merror:0.25 validation_0-mlogloss:0.654814 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653048 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02122 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994395 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963677 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939323 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916178 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899888 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883509 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868711 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856286 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846999 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840148 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82791 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820093 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812156 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802739 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797042 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792494 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785051 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776313 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768007 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762531 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758732 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756265 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756204 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75054 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742145 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739382 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737939 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73418 [30] validation_0-merror:0.3 validation_0-mlogloss:0.731293 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731518 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726659 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.721481 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.721068 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.720876 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717956 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.718368 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717688 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.721499 [40] validation_0-merror:0.35 validation_0-mlogloss:0.720447 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.722128 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720038 [43] validation_0-merror:0.35 validation_0-mlogloss:0.719283 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717688 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06162 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995502 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968754 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.94702 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924702 [6] validation_0-merror:0.3 validation_0-mlogloss:0.902362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885106 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867463 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856766 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846775 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834811 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823605 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815476 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805527 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800097 [16] validation_0-merror:0.3 validation_0-mlogloss:0.796132 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790008 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.781135 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778585 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.770054 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760815 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753178 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743442 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736994 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731915 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72478 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721302 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.71489 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.709677 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705722 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704068 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697467 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697047 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.692631 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690119 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684696 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681794 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.680856 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.6792 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676422 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676685 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.675594 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674113 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672644 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672854 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.670113 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.67035 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668159 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.670937 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.669442 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.669312 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668397 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.6699 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668159 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02068 [2] validation_0-merror:0.3 validation_0-mlogloss:0.98647 [3] validation_0-merror:0.3 validation_0-mlogloss:0.955587 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.931792 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90804 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887698 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868128 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851453 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83916 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826822 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814517 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801452 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787164 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777067 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.766363 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.759598 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.751441 [18] validation_0-merror:0.35 validation_0-mlogloss:0.744675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.737542 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.732692 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.725629 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.723977 [23] validation_0-merror:0.35 validation_0-mlogloss:0.717806 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.714234 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.707452 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.705553 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.701681 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.699574 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695307 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.692851 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.69246 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689717 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.683616 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.683222 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679085 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673024 [37] validation_0-merror:0.3 validation_0-mlogloss:0.671777 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67229 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672034 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.670521 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.670289 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.668643 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.669715 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.668153 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.670877 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.669817 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.669243 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.670534 [49] validation_0-merror:0.3 validation_0-mlogloss:0.669882 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.668153 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995518 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970909 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945964 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924741 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90338 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892087 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879878 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.868035 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.858636 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845897 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836876 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828572 [14] validation_0-merror:0.35 validation_0-mlogloss:0.823106 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.81337 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.806314 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.80081 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.795323 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.788574 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781864 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77704 [22] validation_0-merror:0.4 validation_0-mlogloss:0.775072 [23] validation_0-merror:0.4 validation_0-mlogloss:0.771137 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766533 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761551 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756094 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755624 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.75409 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749816 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.749601 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74674 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.743852 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.742376 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.739276 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.735355 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.735776 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.733533 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.733689 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.735275 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.732637 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.731883 [42] validation_0-merror:0.35 validation_0-mlogloss:0.730727 [43] validation_0-merror:0.35 validation_0-mlogloss:0.729875 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.728009 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.729658 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.728059 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.726182 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.725828 [49] validation_0-merror:0.366667 validation_0-mlogloss:0.723925 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.724867 [51] validation_0-merror:0.366667 validation_0-mlogloss:0.724278 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.724114 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.726696 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.727181 Stopping. Best iteration: [49] validation_0-merror:0.366667 validation_0-mlogloss:0.723925 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06798 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03255 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.999221 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974127 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950911 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924384 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90385 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897919 [8] validation_0-merror:0.35 validation_0-mlogloss:0.881387 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.875647 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.868499 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.861833 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.856335 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.848621 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.835595 [15] validation_0-merror:0.3 validation_0-mlogloss:0.828055 [16] validation_0-merror:0.3 validation_0-mlogloss:0.816854 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.808196 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.802304 [19] validation_0-merror:0.3 validation_0-mlogloss:0.79534 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.788281 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.78302 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776661 [23] validation_0-merror:0.3 validation_0-mlogloss:0.768816 [24] validation_0-merror:0.3 validation_0-mlogloss:0.759525 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754939 [26] validation_0-merror:0.3 validation_0-mlogloss:0.748607 [27] validation_0-merror:0.3 validation_0-mlogloss:0.744986 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743029 [29] validation_0-merror:0.3 validation_0-mlogloss:0.739503 [30] validation_0-merror:0.3 validation_0-mlogloss:0.737451 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735669 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.732809 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729009 [34] validation_0-merror:0.3 validation_0-mlogloss:0.726639 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.7209 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717701 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.716958 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715923 [39] validation_0-merror:0.3 validation_0-mlogloss:0.71338 [40] validation_0-merror:0.3 validation_0-mlogloss:0.708926 [41] validation_0-merror:0.3 validation_0-mlogloss:0.706648 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.703092 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.700551 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.699725 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.696495 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.692954 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.690707 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.687106 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.686439 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.683844 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.680545 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.679194 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.677968 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.679082 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.677492 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.676551 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.674987 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.672632 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.669373 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.669487 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.670029 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.670327 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.669813 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.669897 Stopping. Best iteration: [59] validation_0-merror:0.266667 validation_0-mlogloss:0.669373 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02293 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996971 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967088 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946102 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922064 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905343 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886289 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.868233 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.854235 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843433 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829537 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.818153 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808803 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79608 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783666 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776522 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765432 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761242 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756372 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748456 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743398 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736519 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729772 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720385 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714123 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70782 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703976 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701694 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.695921 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.692931 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688865 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.68451 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.683994 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.685692 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.686901 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686389 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.680588 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.68007 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.67794 [40] validation_0-merror:0.3 validation_0-mlogloss:0.673125 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672872 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.669901 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669418 [44] validation_0-merror:0.3 validation_0-mlogloss:0.670837 [45] validation_0-merror:0.3 validation_0-mlogloss:0.671162 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.672051 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.667207 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.665802 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.669957 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.667265 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.670819 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.67097 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.672625 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.665802 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02238 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987566 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963764 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936836 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914934 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892232 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.874837 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857847 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839335 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825605 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812897 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80032 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.792819 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791004 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781702 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777494 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773898 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772285 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768317 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.766949 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761535 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761586 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760589 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76215 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757797 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.75452 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.751224 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750154 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.7514 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.752476 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748913 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.750307 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.745987 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.749844 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.753764 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.750189 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.751773 [38] validation_0-merror:0.35 validation_0-mlogloss:0.747576 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.745987 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02431 [2] validation_0-merror:0.3 validation_0-mlogloss:0.990213 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966924 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941126 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917951 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.895385 [7] validation_0-merror:0.233333 validation_0-mlogloss:0.879437 [8] validation_0-merror:0.3 validation_0-mlogloss:0.863008 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851395 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832668 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.821757 [12] validation_0-merror:0.3 validation_0-mlogloss:0.810675 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793199 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784416 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781354 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775011 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76908 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758174 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751069 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747338 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740601 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736192 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727078 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723805 [25] validation_0-merror:0.3 validation_0-mlogloss:0.722343 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721293 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719833 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.714021 [29] validation_0-merror:0.35 validation_0-mlogloss:0.716808 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711076 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.704117 [32] validation_0-merror:0.35 validation_0-mlogloss:0.699395 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.700723 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.697822 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.69868 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.690031 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.685753 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.68249 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.682417 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686165 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680241 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680597 [43] validation_0-merror:0.3 validation_0-mlogloss:0.675415 [44] validation_0-merror:0.3 validation_0-mlogloss:0.673483 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673194 [46] validation_0-merror:0.3 validation_0-mlogloss:0.676942 [47] validation_0-merror:0.3 validation_0-mlogloss:0.673504 [48] validation_0-merror:0.3 validation_0-mlogloss:0.672716 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674781 [50] validation_0-merror:0.3 validation_0-mlogloss:0.672099 [51] validation_0-merror:0.3 validation_0-mlogloss:0.670887 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.665797 [53] validation_0-merror:0.3 validation_0-mlogloss:0.66863 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.673601 [55] validation_0-merror:0.3 validation_0-mlogloss:0.67138 [56] validation_0-merror:0.3 validation_0-mlogloss:0.670514 [57] validation_0-merror:0.3 validation_0-mlogloss:0.669034 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.665797 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05336 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.994915 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940379 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92053 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905109 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884934 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868054 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852718 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840084 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827706 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815005 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806714 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792799 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778826 [16] validation_0-merror:0.35 validation_0-mlogloss:0.770331 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761343 [18] validation_0-merror:0.35 validation_0-mlogloss:0.75631 [19] validation_0-merror:0.35 validation_0-mlogloss:0.752714 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745664 [21] validation_0-merror:0.35 validation_0-mlogloss:0.74245 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.733729 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728586 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724144 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714519 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707732 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706382 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.70734 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705388 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.697839 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693353 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.684276 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680571 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676669 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.672826 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.670206 [37] validation_0-merror:0.3 validation_0-mlogloss:0.671361 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.67118 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.668539 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.666099 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.66208 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.661087 [43] validation_0-merror:0.3 validation_0-mlogloss:0.661371 [44] validation_0-merror:0.3 validation_0-mlogloss:0.657667 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.656619 [46] validation_0-merror:0.3 validation_0-mlogloss:0.654382 [47] validation_0-merror:0.3 validation_0-mlogloss:0.651161 [48] validation_0-merror:0.3 validation_0-mlogloss:0.647771 [49] validation_0-merror:0.3 validation_0-mlogloss:0.64859 [50] validation_0-merror:0.3 validation_0-mlogloss:0.648152 [51] validation_0-merror:0.3 validation_0-mlogloss:0.649598 [52] validation_0-merror:0.3 validation_0-mlogloss:0.647599 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.65162 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.65062 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.650917 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.652724 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.65118 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.647599 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02348 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995985 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9651 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.941431 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918318 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901799 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886466 [8] validation_0-merror:0.35 validation_0-mlogloss:0.871385 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858846 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849529 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842833 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830852 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823316 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81324 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.803389 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797989 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794023 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786671 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.781986 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.773233 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765237 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763895 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759067 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760879 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754814 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744946 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739648 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737036 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.736085 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736913 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.736254 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.731329 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727452 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726716 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.72606 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.723184 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.724464 [38] validation_0-merror:0.35 validation_0-mlogloss:0.724276 [39] validation_0-merror:0.35 validation_0-mlogloss:0.727433 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.725373 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.727948 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.723184 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0268 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998088 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975034 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.953303 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92987 [6] validation_0-merror:0.3 validation_0-mlogloss:0.907761 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890674 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.872452 [9] validation_0-merror:0.3 validation_0-mlogloss:0.862504 [10] validation_0-merror:0.3 validation_0-mlogloss:0.850043 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83875 [12] validation_0-merror:0.3 validation_0-mlogloss:0.828036 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819881 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811967 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806001 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801451 [17] validation_0-merror:0.3 validation_0-mlogloss:0.794584 [18] validation_0-merror:0.3 validation_0-mlogloss:0.78541 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780197 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770839 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762644 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.756574 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751493 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.74251 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740424 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733147 [27] validation_0-merror:0.3 validation_0-mlogloss:0.729318 [28] validation_0-merror:0.3 validation_0-mlogloss:0.722717 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.719164 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.715336 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.713703 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.707025 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.703954 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.698848 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69785 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691526 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.68762 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.686502 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.68452 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.681252 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.680228 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.678911 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.67891 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.677963 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.676971 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.673897 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.672024 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.669747 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.672597 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.671058 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.671164 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.670251 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.671566 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.669747 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02218 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986227 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909271 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88971 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853149 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842651 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830703 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816472 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803696 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790413 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781244 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770171 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762848 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760514 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753591 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744885 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738705 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731299 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729758 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728264 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722296 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715831 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710396 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.708645 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.703413 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.697339 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694624 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.69303 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692833 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68995 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.687642 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.684669 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683255 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.679793 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.678968 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.679791 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.676879 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677374 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677295 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.677883 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67451 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.675551 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.67467 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672681 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.67454 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.674215 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.672723 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.674058 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.675732 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672681 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05674 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02435 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993657 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94356 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921957 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889204 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863351 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851939 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838437 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829885 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822129 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814838 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805002 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799218 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793207 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788728 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787411 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.780472 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77549 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.7714 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766386 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760459 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.756369 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751472 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748281 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745366 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742831 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.742065 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.735562 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.734667 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73348 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.731159 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728294 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727673 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721796 [38] validation_0-merror:0.35 validation_0-mlogloss:0.720124 [39] validation_0-merror:0.35 validation_0-mlogloss:0.717583 [40] validation_0-merror:0.35 validation_0-mlogloss:0.715825 [41] validation_0-merror:0.35 validation_0-mlogloss:0.715328 [42] validation_0-merror:0.35 validation_0-mlogloss:0.714193 [43] validation_0-merror:0.35 validation_0-mlogloss:0.710125 [44] validation_0-merror:0.35 validation_0-mlogloss:0.709395 [45] validation_0-merror:0.35 validation_0-mlogloss:0.709443 [46] validation_0-merror:0.35 validation_0-mlogloss:0.708016 [47] validation_0-merror:0.35 validation_0-mlogloss:0.708719 [48] validation_0-merror:0.35 validation_0-mlogloss:0.709729 [49] validation_0-merror:0.35 validation_0-mlogloss:0.708068 [50] validation_0-merror:0.35 validation_0-mlogloss:0.709162 [51] validation_0-merror:0.35 validation_0-mlogloss:0.711706 Stopping. Best iteration: [46] validation_0-merror:0.35 validation_0-mlogloss:0.708016 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03172 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973193 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948428 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925296 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904734 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875467 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866637 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.861219 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.854323 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.8458 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.83769 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.829073 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812646 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.801737 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.793393 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787976 [20] validation_0-merror:0.3 validation_0-mlogloss:0.776754 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771344 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765993 [23] validation_0-merror:0.3 validation_0-mlogloss:0.758718 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751562 [25] validation_0-merror:0.3 validation_0-mlogloss:0.750403 [26] validation_0-merror:0.3 validation_0-mlogloss:0.742094 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739443 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736543 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.730874 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.729482 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727586 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723146 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719982 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.717454 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.712766 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708509 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.707753 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.706179 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704787 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704313 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.700871 [42] validation_0-merror:0.3 validation_0-mlogloss:0.697955 [43] validation_0-merror:0.3 validation_0-mlogloss:0.695169 [44] validation_0-merror:0.3 validation_0-mlogloss:0.693767 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694049 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690915 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.688304 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.686837 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.686474 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.686024 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.683411 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.681768 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681262 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.682651 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.680683 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.680778 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.683271 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.680946 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680861 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.679611 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.680144 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.680577 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.678724 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.679706 [65] validation_0-merror:0.3 validation_0-mlogloss:0.678725 [66] validation_0-merror:0.3 validation_0-mlogloss:0.681474 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.680304 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.683193 Stopping. Best iteration: [63] validation_0-merror:0.283333 validation_0-mlogloss:0.678724 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06381 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02945 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00198 [3] validation_0-merror:0.4 validation_0-mlogloss:0.973144 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952445 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925539 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908714 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.889958 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.872423 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857868 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84584 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833736 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82233 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.812673 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802765 [15] validation_0-merror:0.35 validation_0-mlogloss:0.791641 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783538 [17] validation_0-merror:0.3 validation_0-mlogloss:0.771918 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767449 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763148 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755959 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750717 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.745088 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737903 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729605 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723595 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716894 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713381 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711225 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703458 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.700709 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.69558 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.692922 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.691825 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691854 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69317 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692393 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688195 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689409 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686251 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.681802 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.682455 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.678913 [43] validation_0-merror:0.3 validation_0-mlogloss:0.678258 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680031 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.678182 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678982 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677129 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67694 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.678105 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.675458 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.678899 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.679087 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.680879 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.679176 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.678292 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.675458 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01961 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985933 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960837 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933695 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910256 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888935 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871049 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854284 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836616 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822057 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807444 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793199 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785625 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780453 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771709 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767407 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.758711 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757432 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75284 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750478 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745078 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.743796 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.742507 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741106 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.737068 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734454 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728744 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726355 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727241 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.728346 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726182 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.72625 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722264 [34] validation_0-merror:0.35 validation_0-mlogloss:0.725561 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729115 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722656 [37] validation_0-merror:0.35 validation_0-mlogloss:0.725434 [38] validation_0-merror:0.35 validation_0-mlogloss:0.72481 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722264 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06649 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02828 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994208 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9696 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94695 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921567 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.900247 [7] validation_0-merror:0.25 validation_0-mlogloss:0.882527 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866385 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854686 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.835652 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824188 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812836 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798041 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789765 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781933 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772278 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766632 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.755294 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748641 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74486 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740282 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73619 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727162 [24] validation_0-merror:0.3 validation_0-mlogloss:0.725444 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725586 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.724423 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.720989 [28] validation_0-merror:0.35 validation_0-mlogloss:0.718818 [29] validation_0-merror:0.35 validation_0-mlogloss:0.719368 [30] validation_0-merror:0.35 validation_0-mlogloss:0.713195 [31] validation_0-merror:0.35 validation_0-mlogloss:0.709378 [32] validation_0-merror:0.35 validation_0-mlogloss:0.701437 [33] validation_0-merror:0.35 validation_0-mlogloss:0.702955 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.699824 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.699929 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697448 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694768 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690633 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.692002 [40] validation_0-merror:0.3 validation_0-mlogloss:0.695122 [41] validation_0-merror:0.3 validation_0-mlogloss:0.689694 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69038 [43] validation_0-merror:0.3 validation_0-mlogloss:0.687051 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.683628 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68158 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.684849 [47] validation_0-merror:0.3 validation_0-mlogloss:0.68184 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.680083 [49] validation_0-merror:0.3 validation_0-mlogloss:0.681923 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68221 [51] validation_0-merror:0.3 validation_0-mlogloss:0.682178 [52] validation_0-merror:0.3 validation_0-mlogloss:0.677047 [53] validation_0-merror:0.3 validation_0-mlogloss:0.678203 [54] validation_0-merror:0.3 validation_0-mlogloss:0.68377 [55] validation_0-merror:0.3 validation_0-mlogloss:0.682727 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.682394 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.681369 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.677047 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02047 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995754 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962628 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94353 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925841 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.9091 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88869 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873153 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857855 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846938 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833714 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821698 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815196 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800435 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787067 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779196 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771552 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766599 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762811 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755558 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748485 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739977 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734725 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.730856 [25] validation_0-merror:0.3 validation_0-mlogloss:0.720765 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715171 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713765 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714161 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708121 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.702166 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.699416 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.692317 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.689996 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.687338 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.682901 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.682016 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.683321 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.684021 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684018 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683565 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679467 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678783 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.678946 [44] validation_0-merror:0.3 validation_0-mlogloss:0.675115 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673417 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671777 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666174 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661997 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662949 [50] validation_0-merror:0.25 validation_0-mlogloss:0.661969 [51] validation_0-merror:0.25 validation_0-mlogloss:0.662836 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660908 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.663006 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.662002 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.661195 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.663969 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.661987 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660908 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02414 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995372 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.967106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.944108 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920582 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904387 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88731 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871715 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853452 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843979 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838728 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826416 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.819054 [14] validation_0-merror:0.35 validation_0-mlogloss:0.808133 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798604 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794042 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789143 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781529 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774597 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766472 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758489 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752521 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747489 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74898 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743106 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735071 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731626 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728716 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727014 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.727665 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.727004 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722189 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719802 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718668 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.718897 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717076 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719977 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718945 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.721059 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.719456 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.720132 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717076 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997766 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973947 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952206 [5] validation_0-merror:0.3 validation_0-mlogloss:0.93074 [6] validation_0-merror:0.3 validation_0-mlogloss:0.909795 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892737 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.873362 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863251 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852899 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.8412 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830499 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824841 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81807 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.811723 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.805844 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798924 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791497 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786216 [20] validation_0-merror:0.3 validation_0-mlogloss:0.780821 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.77418 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767834 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.757813 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.750093 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748042 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740617 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736735 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729698 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725122 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722062 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.716717 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.710456 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.710359 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.70818 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.70733 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.699925 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695509 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694509 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.692709 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68867 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688949 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.68719 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686115 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.686656 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.685391 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684503 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.681888 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679126 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.680993 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.679617 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.679643 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.679788 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.681148 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679126 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05867 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02302 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989497 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959657 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935418 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912516 [6] validation_0-merror:0.35 validation_0-mlogloss:0.891843 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873398 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857465 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846788 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834717 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820751 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.808764 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796068 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786779 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777116 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.767519 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759293 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753659 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.746307 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.741695 [21] validation_0-merror:0.35 validation_0-mlogloss:0.734405 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732585 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730486 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728883 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718499 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.716659 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713457 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.708496 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700111 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698102 [31] validation_0-merror:0.3 validation_0-mlogloss:0.696453 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693154 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687319 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686751 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682057 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678243 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674304 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674974 [39] validation_0-merror:0.3 validation_0-mlogloss:0.673899 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674878 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673378 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672787 [43] validation_0-merror:0.3 validation_0-mlogloss:0.674851 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676806 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.679403 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.679071 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678211 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.672787 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05705 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02725 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996394 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970504 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943641 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922253 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903917 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863664 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852815 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842987 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830289 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822958 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816017 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806779 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79916 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794092 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788188 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783561 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776715 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771402 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764329 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760604 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75629 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.754419 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748798 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.746706 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.743751 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.741314 [30] validation_0-merror:0.35 validation_0-mlogloss:0.740843 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737207 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738451 [33] validation_0-merror:0.35 validation_0-mlogloss:0.739432 [34] validation_0-merror:0.35 validation_0-mlogloss:0.739259 [35] validation_0-merror:0.35 validation_0-mlogloss:0.737693 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738803 Stopping. Best iteration: [31] validation_0-merror:0.35 validation_0-mlogloss:0.737207 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971687 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949147 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926288 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906025 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897354 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.867092 [10] validation_0-merror:0.35 validation_0-mlogloss:0.861916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.854594 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.84827 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839723 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.830579 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.822179 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80863 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799627 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788275 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.782331 [20] validation_0-merror:0.3 validation_0-mlogloss:0.775592 [21] validation_0-merror:0.3 validation_0-mlogloss:0.769107 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760852 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752805 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744807 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741439 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737187 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735579 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730925 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725458 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724187 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720801 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.716035 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711293 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706822 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.70332 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.698808 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695305 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692123 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.689777 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.687206 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684862 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682119 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680747 [44] validation_0-merror:0.3 validation_0-mlogloss:0.681657 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.678514 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678141 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678797 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.676454 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.673259 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.672744 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.670087 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.669963 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.667726 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.669605 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.67112 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.671482 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.67257 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.670643 Stopping. Best iteration: [53] validation_0-merror:0.283333 validation_0-mlogloss:0.667726 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06586 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03794 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00958 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97925 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912377 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894361 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876652 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861531 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84937 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837884 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826468 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816571 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.806591 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795576 [16] validation_0-merror:0.3 validation_0-mlogloss:0.786388 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776112 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.77142 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.766794 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758098 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.751507 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745431 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738337 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729172 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728757 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.724659 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721796 [28] validation_0-merror:0.3 validation_0-mlogloss:0.717733 [29] validation_0-merror:0.3 validation_0-mlogloss:0.71195 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709709 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70515 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70231 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703118 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70194 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704144 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702516 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701398 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701644 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.699875 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697609 [41] validation_0-merror:0.3 validation_0-mlogloss:0.696038 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.693254 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69317 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694916 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.69231 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694721 [47] validation_0-merror:0.3 validation_0-mlogloss:0.692666 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691732 [49] validation_0-merror:0.3 validation_0-mlogloss:0.695159 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693371 [51] validation_0-merror:0.3 validation_0-mlogloss:0.696196 [52] validation_0-merror:0.3 validation_0-mlogloss:0.695093 [53] validation_0-merror:0.3 validation_0-mlogloss:0.696524 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.691732 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986396 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.961404 [4] validation_0-merror:0.3 validation_0-mlogloss:0.93338 [5] validation_0-merror:0.3 validation_0-mlogloss:0.912543 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891775 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873913 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856239 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839578 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.824517 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812101 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800268 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791726 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786996 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778278 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773483 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767476 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766128 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75962 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757516 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.751877 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751527 [23] validation_0-merror:0.35 validation_0-mlogloss:0.748901 [24] validation_0-merror:0.35 validation_0-mlogloss:0.749153 [25] validation_0-merror:0.35 validation_0-mlogloss:0.744118 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740564 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735081 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.731387 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.730906 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.730402 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727518 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726435 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722987 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726977 [35] validation_0-merror:0.35 validation_0-mlogloss:0.730486 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.726353 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.729233 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728928 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722987 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06617 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02796 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994569 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949225 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92622 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.903872 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871456 [9] validation_0-merror:0.3 validation_0-mlogloss:0.858943 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840263 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828555 [12] validation_0-merror:0.3 validation_0-mlogloss:0.814042 [13] validation_0-merror:0.3 validation_0-mlogloss:0.799046 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789249 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786226 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778696 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769863 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761336 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754866 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751526 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744875 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740826 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728897 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728061 [25] validation_0-merror:0.35 validation_0-mlogloss:0.728588 [26] validation_0-merror:0.35 validation_0-mlogloss:0.727981 [27] validation_0-merror:0.35 validation_0-mlogloss:0.72694 [28] validation_0-merror:0.35 validation_0-mlogloss:0.722379 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.725551 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.718486 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.713819 [32] validation_0-merror:0.35 validation_0-mlogloss:0.711352 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.714386 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.711125 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.716179 [36] validation_0-merror:0.35 validation_0-mlogloss:0.712403 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.710361 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.706378 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.709511 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.713611 [41] validation_0-merror:0.35 validation_0-mlogloss:0.710164 [42] validation_0-merror:0.35 validation_0-mlogloss:0.710847 [43] validation_0-merror:0.35 validation_0-mlogloss:0.706751 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.706378 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0559 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02377 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965322 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.945261 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926622 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90522 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87519 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859965 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847652 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834092 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824472 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816571 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802493 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788504 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780791 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773435 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770087 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76788 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760326 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754266 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.745889 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740237 [24] validation_0-merror:0.3 validation_0-mlogloss:0.736059 [25] validation_0-merror:0.3 validation_0-mlogloss:0.729875 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724064 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722121 [28] validation_0-merror:0.3 validation_0-mlogloss:0.721023 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717363 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.712369 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707811 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701237 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696815 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.695091 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691687 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688376 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.682106 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683075 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.67977 [40] validation_0-merror:0.3 validation_0-mlogloss:0.680939 [41] validation_0-merror:0.3 validation_0-mlogloss:0.674889 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673914 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674153 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672917 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.671433 [46] validation_0-merror:0.3 validation_0-mlogloss:0.669781 [47] validation_0-merror:0.3 validation_0-mlogloss:0.664278 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660918 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.661708 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.661462 [51] validation_0-merror:0.3 validation_0-mlogloss:0.661215 [52] validation_0-merror:0.3 validation_0-mlogloss:0.655481 [53] validation_0-merror:0.3 validation_0-mlogloss:0.659266 [54] validation_0-merror:0.3 validation_0-mlogloss:0.658999 [55] validation_0-merror:0.3 validation_0-mlogloss:0.656316 [56] validation_0-merror:0.3 validation_0-mlogloss:0.659044 [57] validation_0-merror:0.3 validation_0-mlogloss:0.657646 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.655481 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05561 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0207 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991914 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962967 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938772 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916373 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900347 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88393 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867174 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85574 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848842 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843473 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831292 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822062 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.814193 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804402 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801372 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794682 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787136 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778667 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76829 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760971 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75708 [23] validation_0-merror:0.35 validation_0-mlogloss:0.75715 [24] validation_0-merror:0.35 validation_0-mlogloss:0.757068 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751401 [26] validation_0-merror:0.35 validation_0-mlogloss:0.744423 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741888 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.739128 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737435 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739455 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.738706 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.735575 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.732203 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731155 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.730414 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728088 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.729163 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.728457 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.730672 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.728992 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.730291 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.728088 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06405 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02754 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998835 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975727 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954082 [5] validation_0-merror:0.35 validation_0-mlogloss:0.93275 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910768 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894683 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875761 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865636 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855461 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.844203 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832564 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.827021 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.819046 [15] validation_0-merror:0.35 validation_0-mlogloss:0.812895 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.804695 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.797031 [18] validation_0-merror:0.3 validation_0-mlogloss:0.789584 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787002 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.780767 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772545 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76442 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75417 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749252 [25] validation_0-merror:0.3 validation_0-mlogloss:0.747386 [26] validation_0-merror:0.3 validation_0-mlogloss:0.739702 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736991 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728877 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724095 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722842 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.717372 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709503 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708956 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.702467 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.700477 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.700541 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696615 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695618 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694039 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.688166 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687645 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.68362 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.685396 [44] validation_0-merror:0.3 validation_0-mlogloss:0.6851 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683939 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682073 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.680159 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.680838 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.681217 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.680274 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.680617 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.677861 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.679119 [54] validation_0-merror:0.3 validation_0-mlogloss:0.68127 [55] validation_0-merror:0.3 validation_0-mlogloss:0.679994 [56] validation_0-merror:0.3 validation_0-mlogloss:0.67522 [57] validation_0-merror:0.3 validation_0-mlogloss:0.675587 [58] validation_0-merror:0.3 validation_0-mlogloss:0.675199 [59] validation_0-merror:0.3 validation_0-mlogloss:0.675085 [60] validation_0-merror:0.3 validation_0-mlogloss:0.676772 [61] validation_0-merror:0.3 validation_0-mlogloss:0.678313 [62] validation_0-merror:0.3 validation_0-mlogloss:0.681524 [63] validation_0-merror:0.3 validation_0-mlogloss:0.682757 [64] validation_0-merror:0.3 validation_0-mlogloss:0.681774 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.675085 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00118 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971155 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.948816 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889292 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87342 [9] validation_0-merror:0.35 validation_0-mlogloss:0.86195 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84991 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837434 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825099 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803632 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792411 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784725 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779658 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771629 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762989 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749201 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74618 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743335 [25] validation_0-merror:0.35 validation_0-mlogloss:0.735731 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732361 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728577 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725713 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720089 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.71782 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715023 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714899 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713112 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.709981 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709025 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.707345 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.703807 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.703017 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.701425 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.700987 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.702789 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.701118 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702686 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.700155 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.700611 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.699912 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.697043 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.693769 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.693489 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.690333 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.690826 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.692641 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.692247 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.691181 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.691875 Stopping. Best iteration: [50] validation_0-merror:0.316667 validation_0-mlogloss:0.690333 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99829 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969273 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945041 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927552 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910476 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898388 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885343 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874767 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.864249 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.85232 [12] validation_0-merror:0.4 validation_0-mlogloss:0.83988 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830197 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.823475 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.815533 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.806204 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.802361 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.795778 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.790863 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784037 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.781771 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.775225 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770039 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765534 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763389 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762456 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758409 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754941 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751153 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749394 [31] validation_0-merror:0.35 validation_0-mlogloss:0.74627 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743605 [33] validation_0-merror:0.35 validation_0-mlogloss:0.743389 [34] validation_0-merror:0.35 validation_0-mlogloss:0.742226 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740835 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738515 [37] validation_0-merror:0.35 validation_0-mlogloss:0.734895 [38] validation_0-merror:0.35 validation_0-mlogloss:0.732116 [39] validation_0-merror:0.35 validation_0-mlogloss:0.729748 [40] validation_0-merror:0.35 validation_0-mlogloss:0.73047 [41] validation_0-merror:0.35 validation_0-mlogloss:0.730524 [42] validation_0-merror:0.35 validation_0-mlogloss:0.732892 [43] validation_0-merror:0.35 validation_0-mlogloss:0.734655 [44] validation_0-merror:0.35 validation_0-mlogloss:0.733674 Stopping. Best iteration: [39] validation_0-merror:0.35 validation_0-mlogloss:0.729748 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971589 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948869 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926473 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867455 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862827 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.856195 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847116 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.838454 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.826572 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815467 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803535 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794678 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.78556 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779578 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774759 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767995 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758162 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750428 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741189 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.739033 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.731674 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730269 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72533 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722187 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720257 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.71579 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.7129 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708816 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.706042 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.703846 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.701283 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.700475 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.697009 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694927 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.69132 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688281 [42] validation_0-merror:0.3 validation_0-mlogloss:0.688209 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688767 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688941 [45] validation_0-merror:0.3 validation_0-mlogloss:0.686956 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.683777 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.681228 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.682426 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.679539 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.679524 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.677443 [52] validation_0-merror:0.25 validation_0-mlogloss:0.6743 [53] validation_0-merror:0.25 validation_0-mlogloss:0.671537 [54] validation_0-merror:0.25 validation_0-mlogloss:0.671076 [55] validation_0-merror:0.25 validation_0-mlogloss:0.672468 [56] validation_0-merror:0.25 validation_0-mlogloss:0.670804 [57] validation_0-merror:0.25 validation_0-mlogloss:0.671325 [58] validation_0-merror:0.25 validation_0-mlogloss:0.670931 [59] validation_0-merror:0.25 validation_0-mlogloss:0.671931 [60] validation_0-merror:0.25 validation_0-mlogloss:0.670584 [61] validation_0-merror:0.25 validation_0-mlogloss:0.669693 [62] validation_0-merror:0.25 validation_0-mlogloss:0.669207 [63] validation_0-merror:0.25 validation_0-mlogloss:0.671511 [64] validation_0-merror:0.25 validation_0-mlogloss:0.672102 [65] validation_0-merror:0.25 validation_0-mlogloss:0.67061 [66] validation_0-merror:0.25 validation_0-mlogloss:0.670828 [67] validation_0-merror:0.25 validation_0-mlogloss:0.670471 Stopping. Best iteration: [62] validation_0-merror:0.25 validation_0-mlogloss:0.669207 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05848 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03262 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973702 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954976 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915603 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898426 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880728 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863051 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851137 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839646 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827773 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818229 [14] validation_0-merror:0.3 validation_0-mlogloss:0.807867 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798084 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788949 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777707 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.77193 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.766901 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.761585 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755059 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750149 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.743837 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.734506 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.733858 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.730075 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728005 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72105 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.716067 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.713029 [31] validation_0-merror:0.25 validation_0-mlogloss:0.707768 [32] validation_0-merror:0.25 validation_0-mlogloss:0.705709 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.706251 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707185 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.707629 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705992 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.703849 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.704234 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700328 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.698044 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.697567 [42] validation_0-merror:0.3 validation_0-mlogloss:0.696223 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695155 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.697144 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694512 [46] validation_0-merror:0.3 validation_0-mlogloss:0.696217 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692291 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.690472 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.692642 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689263 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.692339 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690082 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.690912 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.692384 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.689704 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689263 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0575 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02163 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.989128 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962048 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934287 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914695 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893383 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872555 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854937 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83781 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822787 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810389 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799228 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790494 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787714 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.779943 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.774834 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76851 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.76709 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760419 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.757726 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752302 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75137 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.750972 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75069 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.746424 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.742987 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737615 [28] validation_0-merror:0.35 validation_0-mlogloss:0.733446 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733393 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734211 [31] validation_0-merror:0.35 validation_0-mlogloss:0.731001 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.730375 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729453 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.732136 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.733198 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.731938 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.736479 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.734284 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729453 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02809 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995342 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973414 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950268 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926975 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.90508 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887137 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870811 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858421 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.839715 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828476 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817025 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801707 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791059 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789659 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781863 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773261 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764961 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759456 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75586 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749605 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744752 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74484 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.745519 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743617 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738458 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736265 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.738881 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735155 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732609 [32] validation_0-merror:0.35 validation_0-mlogloss:0.727665 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729044 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726164 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731138 [36] validation_0-merror:0.35 validation_0-mlogloss:0.731192 [37] validation_0-merror:0.35 validation_0-mlogloss:0.729259 [38] validation_0-merror:0.35 validation_0-mlogloss:0.727762 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.731256 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726164 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05582 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965521 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943955 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882564 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867177 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852054 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839464 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825894 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816007 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809407 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79508 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780319 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771869 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764542 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759012 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75815 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750756 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748391 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740228 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.733148 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728891 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.722708 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716655 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715929 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.71484 [29] validation_0-merror:0.3 validation_0-mlogloss:0.713084 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709179 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704256 [32] validation_0-merror:0.3 validation_0-mlogloss:0.695552 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693485 [34] validation_0-merror:0.3 validation_0-mlogloss:0.69127 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.687533 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.685318 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681642 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683434 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678305 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.67837 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.674147 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.672921 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.673999 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.673356 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.674125 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672871 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.66735 [48] validation_0-merror:0.3 validation_0-mlogloss:0.66491 [49] validation_0-merror:0.3 validation_0-mlogloss:0.663623 [50] validation_0-merror:0.3 validation_0-mlogloss:0.663263 [51] validation_0-merror:0.3 validation_0-mlogloss:0.663147 [52] validation_0-merror:0.3 validation_0-mlogloss:0.661449 [53] validation_0-merror:0.3 validation_0-mlogloss:0.66471 [54] validation_0-merror:0.3 validation_0-mlogloss:0.664843 [55] validation_0-merror:0.3 validation_0-mlogloss:0.661842 [56] validation_0-merror:0.3 validation_0-mlogloss:0.664038 [57] validation_0-merror:0.3 validation_0-mlogloss:0.663012 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.661449 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05883 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02428 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996628 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944307 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922245 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905677 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.88812 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871039 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85235 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844407 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837512 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825604 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.819739 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80993 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.801981 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798195 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790643 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784118 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779328 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771894 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765248 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758056 [23] validation_0-merror:0.35 validation_0-mlogloss:0.753143 [24] validation_0-merror:0.35 validation_0-mlogloss:0.754415 [25] validation_0-merror:0.35 validation_0-mlogloss:0.747809 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740715 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739608 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.735804 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738311 [30] validation_0-merror:0.35 validation_0-mlogloss:0.738414 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737173 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736028 [33] validation_0-merror:0.35 validation_0-mlogloss:0.73207 [34] validation_0-merror:0.35 validation_0-mlogloss:0.730836 [35] validation_0-merror:0.35 validation_0-mlogloss:0.729971 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727571 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.728787 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.728021 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.730593 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.728663 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.72872 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727571 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02956 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00085 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97775 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956649 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935587 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913474 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898758 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868878 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856627 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845175 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834391 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828499 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820393 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814187 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807177 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.79878 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790505 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788095 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78434 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783352 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775629 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765039 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761674 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755484 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748029 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74498 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736768 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733925 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734127 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.730837 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.72419 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725246 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.718549 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.717924 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715296 [37] validation_0-merror:0.3 validation_0-mlogloss:0.711118 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.709282 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.708767 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703042 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702125 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.69975 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702562 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702749 [45] validation_0-merror:0.3 validation_0-mlogloss:0.697921 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.696612 [47] validation_0-merror:0.3 validation_0-mlogloss:0.694908 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.694701 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697381 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.696514 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.69535 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.694411 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.695941 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.698619 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.693137 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.68703 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.686034 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.685656 [59] validation_0-merror:0.3 validation_0-mlogloss:0.686414 [60] validation_0-merror:0.3 validation_0-mlogloss:0.689943 [61] validation_0-merror:0.3 validation_0-mlogloss:0.692249 [62] validation_0-merror:0.3 validation_0-mlogloss:0.694835 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.695895 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.685656 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0627 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03085 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999969 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970718 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949097 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927243 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906346 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889457 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873039 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861454 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849227 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838132 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826703 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813281 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804202 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794257 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785364 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778586 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772994 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766177 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759531 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753947 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750761 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748351 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745708 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738617 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735146 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732778 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729814 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724852 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722248 [31] validation_0-merror:0.3 validation_0-mlogloss:0.721789 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722791 [33] validation_0-merror:0.3 validation_0-mlogloss:0.721707 [34] validation_0-merror:0.3 validation_0-mlogloss:0.722089 [35] validation_0-merror:0.3 validation_0-mlogloss:0.720865 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.719575 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717369 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716376 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.714676 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.716005 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.718324 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.716964 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.716156 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.716426 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.714676 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05715 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02739 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994041 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965801 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938375 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918972 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900039 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886607 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873774 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863514 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.853021 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842866 [12] validation_0-merror:0.35 validation_0-mlogloss:0.830716 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.821893 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815296 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807055 [16] validation_0-merror:0.35 validation_0-mlogloss:0.800687 [17] validation_0-merror:0.35 validation_0-mlogloss:0.7937 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786288 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782498 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776043 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774295 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77007 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767647 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762104 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758728 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756287 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754922 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75205 [29] validation_0-merror:0.35 validation_0-mlogloss:0.749997 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750165 [31] validation_0-merror:0.35 validation_0-mlogloss:0.750007 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.745703 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.745824 [34] validation_0-merror:0.35 validation_0-mlogloss:0.742011 [35] validation_0-merror:0.35 validation_0-mlogloss:0.741031 [36] validation_0-merror:0.35 validation_0-mlogloss:0.73987 [37] validation_0-merror:0.35 validation_0-mlogloss:0.74059 [38] validation_0-merror:0.35 validation_0-mlogloss:0.736584 [39] validation_0-merror:0.35 validation_0-mlogloss:0.735159 [40] validation_0-merror:0.35 validation_0-mlogloss:0.734251 [41] validation_0-merror:0.35 validation_0-mlogloss:0.733319 [42] validation_0-merror:0.35 validation_0-mlogloss:0.733989 [43] validation_0-merror:0.35 validation_0-mlogloss:0.732604 [44] validation_0-merror:0.35 validation_0-mlogloss:0.732137 [45] validation_0-merror:0.35 validation_0-mlogloss:0.732271 [46] validation_0-merror:0.35 validation_0-mlogloss:0.730175 [47] validation_0-merror:0.35 validation_0-mlogloss:0.73002 [48] validation_0-merror:0.35 validation_0-mlogloss:0.733017 [49] validation_0-merror:0.35 validation_0-mlogloss:0.73103 [50] validation_0-merror:0.35 validation_0-mlogloss:0.730411 [51] validation_0-merror:0.35 validation_0-mlogloss:0.729909 [52] validation_0-merror:0.35 validation_0-mlogloss:0.732885 [53] validation_0-merror:0.35 validation_0-mlogloss:0.732948 [54] validation_0-merror:0.35 validation_0-mlogloss:0.731396 [55] validation_0-merror:0.35 validation_0-mlogloss:0.733808 [56] validation_0-merror:0.35 validation_0-mlogloss:0.735544 Stopping. Best iteration: [51] validation_0-merror:0.35 validation_0-mlogloss:0.729909 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0343 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974659 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.951715 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925813 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905415 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895721 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875479 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865712 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.860665 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.854625 [12] validation_0-merror:0.35 validation_0-mlogloss:0.849245 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.841787 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.82861 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819865 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808384 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797554 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790232 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781496 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777852 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.77058 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.766077 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756549 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74977 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7436 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741391 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736684 [28] validation_0-merror:0.3 validation_0-mlogloss:0.732712 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725447 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722453 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720378 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.712807 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70713 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706109 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701698 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697954 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695474 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693199 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690745 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.689784 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.689267 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.68592 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.687277 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684792 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.685246 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684678 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.682463 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.680071 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.678618 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.676036 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.67346 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.671705 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.67355 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.671383 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.672983 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.672195 [57] validation_0-merror:0.3 validation_0-mlogloss:0.671548 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.671309 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.672674 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.674274 [61] validation_0-merror:0.25 validation_0-mlogloss:0.674799 [62] validation_0-merror:0.25 validation_0-mlogloss:0.677261 [63] validation_0-merror:0.25 validation_0-mlogloss:0.677639 Stopping. Best iteration: [58] validation_0-merror:0.283333 validation_0-mlogloss:0.671309 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06121 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02209 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.993445 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956158 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935458 [5] validation_0-merror:0.35 validation_0-mlogloss:0.90807 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887497 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.869758 [8] validation_0-merror:0.3 validation_0-mlogloss:0.851516 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834343 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822418 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807706 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794515 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786961 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.774191 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.763245 [16] validation_0-merror:0.3 validation_0-mlogloss:0.754316 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.747607 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.740397 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.736183 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.727562 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.723215 [22] validation_0-merror:0.3 validation_0-mlogloss:0.712106 [23] validation_0-merror:0.3 validation_0-mlogloss:0.70412 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.694567 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.689666 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.685758 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.686108 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.685422 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.675169 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.670086 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.666022 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.665446 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.662632 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.667951 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.672625 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.67455 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668578 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.665442 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.662632 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0224 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982676 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956244 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.921083 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.89917 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.87259 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855285 [8] validation_0-merror:0.35 validation_0-mlogloss:0.834779 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.818285 [10] validation_0-merror:0.35 validation_0-mlogloss:0.80688 [11] validation_0-merror:0.35 validation_0-mlogloss:0.797458 [12] validation_0-merror:0.35 validation_0-mlogloss:0.789153 [13] validation_0-merror:0.35 validation_0-mlogloss:0.778832 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.774281 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.763942 [16] validation_0-merror:0.35 validation_0-mlogloss:0.762252 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.754865 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752741 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755424 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754894 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755891 [22] validation_0-merror:0.35 validation_0-mlogloss:0.757997 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755243 Stopping. Best iteration: [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752741 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05254 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01381 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.97707 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957629 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928601 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.912103 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894538 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880529 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863085 [9] validation_0-merror:0.35 validation_0-mlogloss:0.853869 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838268 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826863 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81207 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797942 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784886 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787676 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779461 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777682 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769443 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763175 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763453 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76404 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761761 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.753959 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756311 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759591 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756648 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757306 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.755947 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.753959 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04724 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01189 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.980737 [3] validation_0-merror:0.3 validation_0-mlogloss:0.944691 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.92335 [5] validation_0-merror:0.3 validation_0-mlogloss:0.894337 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870712 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.85086 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.833418 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.81445 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.801906 [11] validation_0-merror:0.35 validation_0-mlogloss:0.786601 [12] validation_0-merror:0.35 validation_0-mlogloss:0.775026 [13] validation_0-merror:0.35 validation_0-mlogloss:0.761324 [14] validation_0-merror:0.35 validation_0-mlogloss:0.752789 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.740592 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.729323 [17] validation_0-merror:0.3 validation_0-mlogloss:0.720903 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.718912 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.718006 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.711665 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.708812 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.702785 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.700646 [24] validation_0-merror:0.3 validation_0-mlogloss:0.698861 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.698977 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.692819 [27] validation_0-merror:0.3 validation_0-mlogloss:0.693273 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.691972 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.691315 [30] validation_0-merror:0.3 validation_0-mlogloss:0.6873 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.684688 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.680398 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680368 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.681536 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682691 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.681382 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.68551 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.683841 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680368 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0518 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00598 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974484 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940055 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914054 [5] validation_0-merror:0.3 validation_0-mlogloss:0.885145 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.86647 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.847552 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.824097 [9] validation_0-merror:0.3 validation_0-mlogloss:0.810249 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.802361 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.795126 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.786458 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.781251 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.774965 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768373 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768357 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76188 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754762 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749232 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743943 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744111 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741194 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74172 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.747 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.744682 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741318 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741876 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741194 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05226 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0144 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981838 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962841 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935869 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.916132 [6] validation_0-merror:0.3 validation_0-mlogloss:0.896248 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.884628 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860257 [9] validation_0-merror:0.3 validation_0-mlogloss:0.849143 [10] validation_0-merror:0.3 validation_0-mlogloss:0.843064 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828279 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.816595 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806712 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.794951 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788231 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785278 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.774588 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769224 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763314 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759652 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.759849 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753169 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749515 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744843 [25] validation_0-merror:0.3 validation_0-mlogloss:0.745384 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743444 [27] validation_0-merror:0.3 validation_0-mlogloss:0.74113 [28] validation_0-merror:0.3 validation_0-mlogloss:0.739308 [29] validation_0-merror:0.3 validation_0-mlogloss:0.734167 [30] validation_0-merror:0.3 validation_0-mlogloss:0.733729 [31] validation_0-merror:0.3 validation_0-mlogloss:0.73277 [32] validation_0-merror:0.3 validation_0-mlogloss:0.730582 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734332 [34] validation_0-merror:0.3 validation_0-mlogloss:0.731077 [35] validation_0-merror:0.3 validation_0-mlogloss:0.734172 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728678 [37] validation_0-merror:0.3 validation_0-mlogloss:0.728834 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.730613 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.733255 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.731969 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.733174 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.728678 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04996 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00812 [2] validation_0-merror:0.3 validation_0-mlogloss:0.974092 [3] validation_0-merror:0.3 validation_0-mlogloss:0.941249 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.913727 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.886013 [6] validation_0-merror:0.25 validation_0-mlogloss:0.86617 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.842551 [8] validation_0-merror:0.3 validation_0-mlogloss:0.826733 [9] validation_0-merror:0.3 validation_0-mlogloss:0.809754 [10] validation_0-merror:0.3 validation_0-mlogloss:0.797208 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.777254 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.76307 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.750275 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.740599 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.732982 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.725567 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.7226 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.718444 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.714321 [20] validation_0-merror:0.25 validation_0-mlogloss:0.709736 [21] validation_0-merror:0.25 validation_0-mlogloss:0.705283 [22] validation_0-merror:0.25 validation_0-mlogloss:0.70598 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.700157 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.700398 [25] validation_0-merror:0.25 validation_0-mlogloss:0.695926 [26] validation_0-merror:0.25 validation_0-mlogloss:0.69566 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.693168 [28] validation_0-merror:0.25 validation_0-mlogloss:0.697086 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.692715 [30] validation_0-merror:0.25 validation_0-mlogloss:0.689117 [31] validation_0-merror:0.25 validation_0-mlogloss:0.689104 [32] validation_0-merror:0.25 validation_0-mlogloss:0.688435 [33] validation_0-merror:0.25 validation_0-mlogloss:0.690629 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.689535 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.689855 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.689214 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690491 Stopping. Best iteration: [32] validation_0-merror:0.25 validation_0-mlogloss:0.688435 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983859 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957123 [4] validation_0-merror:0.35 validation_0-mlogloss:0.926108 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899021 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880357 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.861386 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.848627 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84275 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833831 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822679 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813094 [13] validation_0-merror:0.3 validation_0-mlogloss:0.804294 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798878 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788259 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781619 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776384 [18] validation_0-merror:0.3 validation_0-mlogloss:0.773344 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.774092 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776401 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.775843 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.779308 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77816 Stopping. Best iteration: [18] validation_0-merror:0.3 validation_0-mlogloss:0.773344 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05976 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0167 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.982694 [3] validation_0-merror:0.3 validation_0-mlogloss:0.955636 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922237 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.895766 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.872549 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856967 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841672 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831937 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825118 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.821607 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812533 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810094 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800366 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795688 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786394 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778512 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777198 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778839 [20] validation_0-merror:0.3 validation_0-mlogloss:0.779595 [21] validation_0-merror:0.3 validation_0-mlogloss:0.779181 [22] validation_0-merror:0.3 validation_0-mlogloss:0.782364 [23] validation_0-merror:0.3 validation_0-mlogloss:0.781768 Stopping. Best iteration: [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777198 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01192 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983363 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950518 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928548 [5] validation_0-merror:0.3 validation_0-mlogloss:0.903656 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.886494 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865608 [8] validation_0-merror:0.3 validation_0-mlogloss:0.845903 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829355 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822098 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.808158 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796295 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789843 [14] validation_0-merror:0.3 validation_0-mlogloss:0.776869 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77109 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.763406 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.753912 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750627 [19] validation_0-merror:0.35 validation_0-mlogloss:0.745866 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.734069 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.730986 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722462 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.71278 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.703983 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.700281 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.692979 [27] validation_0-merror:0.3 validation_0-mlogloss:0.696881 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696849 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692203 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687109 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684299 [32] validation_0-merror:0.3 validation_0-mlogloss:0.677687 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67413 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676583 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678177 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.676373 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674107 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676519 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.67457 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676203 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.672301 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.668185 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.663289 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.664238 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665234 [46] validation_0-merror:0.3 validation_0-mlogloss:0.667045 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662337 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.661448 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.669198 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.66435 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.667062 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668142 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.669012 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.661448 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02531 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986014 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956695 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922507 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899163 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.876406 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857733 [8] validation_0-merror:0.35 validation_0-mlogloss:0.835884 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.81836 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.805474 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.793306 [12] validation_0-merror:0.35 validation_0-mlogloss:0.784115 [13] validation_0-merror:0.35 validation_0-mlogloss:0.776204 [14] validation_0-merror:0.35 validation_0-mlogloss:0.775037 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.766352 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.765767 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763781 [18] validation_0-merror:0.35 validation_0-mlogloss:0.761623 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760799 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76237 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762612 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763119 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765298 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765629 Stopping. Best iteration: [19] validation_0-merror:0.35 validation_0-mlogloss:0.760799 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01792 [2] validation_0-merror:0.3 validation_0-mlogloss:0.981711 [3] validation_0-merror:0.3 validation_0-mlogloss:0.966227 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939176 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921775 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.902664 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890108 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868653 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855871 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829865 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813242 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.796605 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787422 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787162 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778329 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774093 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766812 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76113 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.758064 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757028 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752443 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747657 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743406 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743798 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743755 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739089 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73633 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732441 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728644 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72543 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722385 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.724936 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.72697 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732495 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.72845 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.725027 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722385 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04841 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01344 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984085 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947711 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928422 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907066 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889947 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.869425 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.848788 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833513 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819079 [11] validation_0-merror:0.35 validation_0-mlogloss:0.806187 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794673 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.78599 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776867 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.765788 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.756727 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.746115 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.743611 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741978 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.736538 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.734413 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.726572 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.719603 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.714304 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710553 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704804 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704919 [28] validation_0-merror:0.3 validation_0-mlogloss:0.704658 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701412 [30] validation_0-merror:0.3 validation_0-mlogloss:0.695675 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693294 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.690875 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68736 [34] validation_0-merror:0.3 validation_0-mlogloss:0.688028 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.686344 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.687703 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.690146 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.68971 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.689555 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.691005 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.686344 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00527 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975893 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94002 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.912063 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.886852 [6] validation_0-merror:0.3 validation_0-mlogloss:0.872114 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.854152 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.835949 [9] validation_0-merror:0.35 validation_0-mlogloss:0.821077 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812838 [11] validation_0-merror:0.35 validation_0-mlogloss:0.805343 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795414 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790432 [14] validation_0-merror:0.35 validation_0-mlogloss:0.785377 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778753 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775953 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772142 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769489 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763456 [20] validation_0-merror:0.35 validation_0-mlogloss:0.757872 [21] validation_0-merror:0.35 validation_0-mlogloss:0.759875 [22] validation_0-merror:0.35 validation_0-mlogloss:0.755836 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756786 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761055 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758685 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753715 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751669 [28] validation_0-merror:0.35 validation_0-mlogloss:0.750973 [29] validation_0-merror:0.35 validation_0-mlogloss:0.748365 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752482 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.758308 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756799 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.758084 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.758144 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.748365 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05588 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01327 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.981039 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964075 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935865 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911711 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.891261 [7] validation_0-merror:0.3 validation_0-mlogloss:0.877255 [8] validation_0-merror:0.3 validation_0-mlogloss:0.856892 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847756 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840103 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825728 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.810884 [13] validation_0-merror:0.3 validation_0-mlogloss:0.803228 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791555 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783145 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.777602 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.767079 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768381 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.761645 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.756511 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75694 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752224 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749199 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.742602 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.740418 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.739116 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.737734 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.730195 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.725734 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.726188 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.72979 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.729186 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.733808 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.7312 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.725734 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01698 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977589 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947849 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.918203 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.89341 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.873235 [7] validation_0-merror:0.3 validation_0-mlogloss:0.852519 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834667 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.819888 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808184 [11] validation_0-merror:0.3 validation_0-mlogloss:0.790968 [12] validation_0-merror:0.3 validation_0-mlogloss:0.77757 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.767082 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.7567 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.746812 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.738948 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.730952 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.726036 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.723603 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.718763 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.713494 [22] validation_0-merror:0.25 validation_0-mlogloss:0.712648 [23] validation_0-merror:0.25 validation_0-mlogloss:0.710421 [24] validation_0-merror:0.25 validation_0-mlogloss:0.708307 [25] validation_0-merror:0.25 validation_0-mlogloss:0.703032 [26] validation_0-merror:0.25 validation_0-mlogloss:0.700598 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699245 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696288 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.692791 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.691339 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.692855 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693185 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.694729 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693633 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.690288 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688988 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688456 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688566 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688247 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.687437 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.687847 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.687595 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.691022 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.692347 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.691399 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.687437 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05049 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02028 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98291 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955622 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924541 [5] validation_0-merror:0.4 validation_0-mlogloss:0.9036 [6] validation_0-merror:0.4 validation_0-mlogloss:0.88503 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867548 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851157 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835039 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823945 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810898 [12] validation_0-merror:0.3 validation_0-mlogloss:0.799232 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.78651 [14] validation_0-merror:0.3 validation_0-mlogloss:0.779426 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.770742 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.76211 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757514 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758007 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758679 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.761225 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.758115 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.76113 Stopping. Best iteration: [17] validation_0-merror:0.3 validation_0-mlogloss:0.757514 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05567 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01735 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982146 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953185 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.91837 [5] validation_0-merror:0.3 validation_0-mlogloss:0.891876 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870623 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.862801 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.846615 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837773 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834252 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8275 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816288 [13] validation_0-merror:0.3 validation_0-mlogloss:0.81184 [14] validation_0-merror:0.3 validation_0-mlogloss:0.802188 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795316 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.784063 [17] validation_0-merror:0.3 validation_0-mlogloss:0.778272 [18] validation_0-merror:0.3 validation_0-mlogloss:0.778929 [19] validation_0-merror:0.3 validation_0-mlogloss:0.775434 [20] validation_0-merror:0.3 validation_0-mlogloss:0.774883 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771422 [22] validation_0-merror:0.3 validation_0-mlogloss:0.771918 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.767214 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.763325 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.757834 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.758032 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.756025 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.755583 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.752737 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.754096 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.748382 [32] validation_0-merror:0.3 validation_0-mlogloss:0.747351 [33] validation_0-merror:0.3 validation_0-mlogloss:0.74379 [34] validation_0-merror:0.3 validation_0-mlogloss:0.742844 [35] validation_0-merror:0.3 validation_0-mlogloss:0.74291 [36] validation_0-merror:0.3 validation_0-mlogloss:0.74619 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748163 [38] validation_0-merror:0.3 validation_0-mlogloss:0.750298 [39] validation_0-merror:0.3 validation_0-mlogloss:0.750107 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.742844 [0] validation_0-merror:0.566667 validation_0-mlogloss:1.06343 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994587 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.963431 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.940232 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913625 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896704 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876058 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858308 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843044 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834257 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822557 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811294 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806117 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798154 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789198 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780338 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768588 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766664 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762748 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752721 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749522 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.746287 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.735228 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729717 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.730853 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.72754 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728728 [28] validation_0-merror:0.3 validation_0-mlogloss:0.728404 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723326 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719789 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715036 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713999 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713805 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.713542 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715714 [36] validation_0-merror:0.3 validation_0-mlogloss:0.715243 [37] validation_0-merror:0.3 validation_0-mlogloss:0.71316 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712666 [39] validation_0-merror:0.3 validation_0-mlogloss:0.709317 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.712632 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.711869 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.708422 [43] validation_0-merror:0.3 validation_0-mlogloss:0.707019 [44] validation_0-merror:0.3 validation_0-mlogloss:0.708995 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.711145 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.714213 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.711882 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.715096 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.707019 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985664 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959217 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92815 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905377 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881379 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.863012 [8] validation_0-merror:0.35 validation_0-mlogloss:0.843654 [9] validation_0-merror:0.35 validation_0-mlogloss:0.826829 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.809602 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.798501 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.790724 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.782269 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.778049 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.767901 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.765228 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.757319 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.758079 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.755793 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751377 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.749726 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.749472 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.750722 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.751178 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749087 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751469 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748305 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.749194 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.751033 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.751562 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752823 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.752739 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748305 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01949 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.984831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964667 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940405 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916997 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895425 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881592 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863237 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848985 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.83126 [11] validation_0-merror:0.3 validation_0-mlogloss:0.822819 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.807512 [13] validation_0-merror:0.3 validation_0-mlogloss:0.793721 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.781953 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782455 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772128 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764332 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.757329 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751249 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743791 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74161 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.737929 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730121 [24] validation_0-merror:0.35 validation_0-mlogloss:0.727284 [25] validation_0-merror:0.35 validation_0-mlogloss:0.727994 [26] validation_0-merror:0.35 validation_0-mlogloss:0.729112 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.725327 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.720794 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717248 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.712811 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709308 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705302 [33] validation_0-merror:0.3 validation_0-mlogloss:0.709021 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709704 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716345 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716272 [37] validation_0-merror:0.3 validation_0-mlogloss:0.711869 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.705302 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05096 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01522 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98965 [3] validation_0-merror:0.3 validation_0-mlogloss:0.954146 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934306 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914591 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897434 [7] validation_0-merror:0.35 validation_0-mlogloss:0.875907 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858702 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843875 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830812 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817237 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.806575 [13] validation_0-merror:0.35 validation_0-mlogloss:0.7969 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784932 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.774585 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76431 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.756303 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.754048 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754104 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747796 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742079 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.736008 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730807 [24] validation_0-merror:0.35 validation_0-mlogloss:0.728599 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724626 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718096 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721286 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719159 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719619 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70757 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704354 [33] validation_0-merror:0.3 validation_0-mlogloss:0.703017 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701531 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.697062 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694649 [37] validation_0-merror:0.3 validation_0-mlogloss:0.696433 [38] validation_0-merror:0.3 validation_0-mlogloss:0.695125 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694054 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694112 [41] validation_0-merror:0.3 validation_0-mlogloss:0.692942 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.691745 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69334 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.69073 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.691663 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.689743 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.686488 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.684158 [49] validation_0-merror:0.3 validation_0-mlogloss:0.683183 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683033 [51] validation_0-merror:0.3 validation_0-mlogloss:0.685832 [52] validation_0-merror:0.3 validation_0-mlogloss:0.683249 [53] validation_0-merror:0.3 validation_0-mlogloss:0.685466 [54] validation_0-merror:0.3 validation_0-mlogloss:0.683999 [55] validation_0-merror:0.3 validation_0-mlogloss:0.68619 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.683033 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00675 [2] validation_0-merror:0.35 validation_0-mlogloss:0.976904 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946978 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.918696 [5] validation_0-merror:0.35 validation_0-mlogloss:0.895409 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879003 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861675 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.841271 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.824977 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.818185 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810391 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798417 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792014 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784907 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777873 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774072 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771326 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769287 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762019 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755494 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755866 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.751229 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.750752 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755057 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.753948 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.750031 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75197 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.751191 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749293 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750587 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754256 [32] validation_0-merror:0.35 validation_0-mlogloss:0.751675 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.751304 [34] validation_0-merror:0.35 validation_0-mlogloss:0.749193 [35] validation_0-merror:0.35 validation_0-mlogloss:0.750867 [36] validation_0-merror:0.35 validation_0-mlogloss:0.751701 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.756568 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.759605 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.764524 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.749193 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05745 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.013 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984148 [3] validation_0-merror:0.3 validation_0-mlogloss:0.957902 [4] validation_0-merror:0.3 validation_0-mlogloss:0.93655 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.910298 [6] validation_0-merror:0.25 validation_0-mlogloss:0.889919 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.874398 [8] validation_0-merror:0.25 validation_0-mlogloss:0.851206 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.840028 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.830507 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.818211 [12] validation_0-merror:0.25 validation_0-mlogloss:0.806516 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.795069 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.787672 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.784815 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781928 [17] validation_0-merror:0.3 validation_0-mlogloss:0.773715 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772823 [19] validation_0-merror:0.3 validation_0-mlogloss:0.767076 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763135 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762972 [22] validation_0-merror:0.3 validation_0-mlogloss:0.759369 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.754894 [24] validation_0-merror:0.3 validation_0-mlogloss:0.747872 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74625 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738295 [27] validation_0-merror:0.3 validation_0-mlogloss:0.737347 [28] validation_0-merror:0.3 validation_0-mlogloss:0.733418 [29] validation_0-merror:0.3 validation_0-mlogloss:0.729312 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730205 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726258 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.724373 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.725804 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723429 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.72953 [36] validation_0-merror:0.3 validation_0-mlogloss:0.728678 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.728693 [38] validation_0-merror:0.3 validation_0-mlogloss:0.72895 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.729334 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723429 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05354 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01548 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980216 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.948503 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919028 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892144 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.869923 [7] validation_0-merror:0.3 validation_0-mlogloss:0.850697 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.833763 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.822846 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.80898 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.79231 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.783728 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.775044 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.766712 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.756191 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.751128 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.745192 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.739766 [19] validation_0-merror:0.3 validation_0-mlogloss:0.73693 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.729294 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.724316 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.721858 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719793 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.713625 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.707677 [26] validation_0-merror:0.25 validation_0-mlogloss:0.701576 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.700635 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.696644 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690944 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.691025 [31] validation_0-merror:0.25 validation_0-mlogloss:0.691883 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.692659 [33] validation_0-merror:0.25 validation_0-mlogloss:0.692713 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.695101 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690944 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0514 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01622 [2] validation_0-merror:0.4 validation_0-mlogloss:0.978313 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950346 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.922834 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900169 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.879753 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.862703 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851356 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837127 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.82415 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811111 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801068 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792815 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788187 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.784215 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.780509 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.777771 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777445 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776369 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.770946 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76949 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769681 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769297 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766914 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.766679 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766565 [27] validation_0-merror:0.35 validation_0-mlogloss:0.770388 [28] validation_0-merror:0.35 validation_0-mlogloss:0.769561 [29] validation_0-merror:0.35 validation_0-mlogloss:0.771949 [30] validation_0-merror:0.35 validation_0-mlogloss:0.772815 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.774475 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.766565 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02495 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.98798 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966015 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936546 [5] validation_0-merror:0.4 validation_0-mlogloss:0.912253 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888024 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.868748 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850594 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844495 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830743 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817111 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80646 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802281 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790592 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786271 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776905 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769899 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766824 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762226 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759959 [21] validation_0-merror:0.3 validation_0-mlogloss:0.758336 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755507 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.748824 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.744271 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.739249 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.738143 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.73681 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734967 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.736886 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.738798 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.738239 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.735275 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.731626 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.728522 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.727586 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.727467 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.725823 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.723265 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.723479 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.72425 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.724237 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.725367 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.722419 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.719818 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.724106 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.727237 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.732979 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.7363 [49] validation_0-merror:0.3 validation_0-mlogloss:0.737494 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.719818 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00548 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973927 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951025 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925268 [6] validation_0-merror:0.4 validation_0-mlogloss:0.906206 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888872 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872947 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853975 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844948 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829297 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817802 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803366 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793237 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785996 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776977 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767203 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761362 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758194 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748397 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741308 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736414 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734911 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.728822 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731058 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.729085 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727977 [28] validation_0-merror:0.3 validation_0-mlogloss:0.726886 [29] validation_0-merror:0.3 validation_0-mlogloss:0.720403 [30] validation_0-merror:0.3 validation_0-mlogloss:0.718344 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714779 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714432 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.711493 [34] validation_0-merror:0.3 validation_0-mlogloss:0.713417 [35] validation_0-merror:0.3 validation_0-mlogloss:0.717496 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717263 [37] validation_0-merror:0.3 validation_0-mlogloss:0.715806 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.720989 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.711493 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986762 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.962403 [4] validation_0-merror:0.3 validation_0-mlogloss:0.930002 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908537 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88705 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869309 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849681 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830552 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814589 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805702 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797603 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789215 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.782618 [15] validation_0-merror:0.35 validation_0-mlogloss:0.775563 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.771852 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761719 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.761653 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.756732 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.752219 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.745602 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.746646 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.747991 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.751894 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749204 [26] validation_0-merror:0.4 validation_0-mlogloss:0.747228 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.745602 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940423 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.919349 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901145 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885779 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867257 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858472 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840746 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830388 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818141 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802939 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792299 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792709 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785081 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775776 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772655 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767724 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762147 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757531 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755538 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75092 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.749071 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75137 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753001 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748806 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748122 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742867 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737104 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731836 [32] validation_0-merror:0.35 validation_0-mlogloss:0.729529 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.732825 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.734685 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.735902 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.73464 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.731651 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.729529 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05143 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01873 [2] validation_0-merror:0.35 validation_0-mlogloss:0.995159 [3] validation_0-merror:0.3 validation_0-mlogloss:0.961844 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940697 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914314 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893393 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876194 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864214 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84675 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832885 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819746 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80987 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802101 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792124 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781977 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77477 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767994 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765433 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768351 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759785 [21] validation_0-merror:0.3 validation_0-mlogloss:0.754084 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748493 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.743189 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739229 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733661 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.727399 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730172 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.731675 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.729616 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.726041 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720717 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.717179 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.713983 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.711372 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.706788 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.703683 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.70148 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.702185 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693993 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.695472 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.691067 [42] validation_0-merror:0.3 validation_0-mlogloss:0.692161 [43] validation_0-merror:0.3 validation_0-mlogloss:0.692556 [44] validation_0-merror:0.3 validation_0-mlogloss:0.692438 [45] validation_0-merror:0.3 validation_0-mlogloss:0.693252 [46] validation_0-merror:0.3 validation_0-mlogloss:0.695159 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.691067 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05492 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01165 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982614 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94993 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920618 [5] validation_0-merror:0.3 validation_0-mlogloss:0.891707 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.87688 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855046 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.836821 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820914 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811923 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.80719 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796107 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789093 [14] validation_0-merror:0.35 validation_0-mlogloss:0.783782 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.775307 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770449 [17] validation_0-merror:0.35 validation_0-mlogloss:0.765485 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763031 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.758086 [20] validation_0-merror:0.35 validation_0-mlogloss:0.748373 [21] validation_0-merror:0.35 validation_0-mlogloss:0.749253 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.745809 [23] validation_0-merror:0.35 validation_0-mlogloss:0.747709 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748132 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.746622 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745193 [27] validation_0-merror:0.35 validation_0-mlogloss:0.746369 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745272 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.744031 [30] validation_0-merror:0.35 validation_0-mlogloss:0.742675 [31] validation_0-merror:0.35 validation_0-mlogloss:0.741097 [32] validation_0-merror:0.35 validation_0-mlogloss:0.742551 [33] validation_0-merror:0.35 validation_0-mlogloss:0.741959 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743857 [35] validation_0-merror:0.35 validation_0-mlogloss:0.742512 [36] validation_0-merror:0.35 validation_0-mlogloss:0.743205 Stopping. Best iteration: [31] validation_0-merror:0.35 validation_0-mlogloss:0.741097 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.0167 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985944 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958766 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939165 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.911331 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.890916 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.876915 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.857903 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.845466 [10] validation_0-merror:0.25 validation_0-mlogloss:0.830155 [11] validation_0-merror:0.25 validation_0-mlogloss:0.81997 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807634 [13] validation_0-merror:0.25 validation_0-mlogloss:0.797781 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.787938 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.781231 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.776843 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770378 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.771177 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763451 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.754967 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.754144 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.749468 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.742599 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.742288 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.742804 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.734319 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.73184 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.726821 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.729467 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730895 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72428 [32] validation_0-merror:0.3 validation_0-mlogloss:0.72234 [33] validation_0-merror:0.3 validation_0-mlogloss:0.724907 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.721292 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.725792 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.722475 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.721189 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721164 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.724412 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.718919 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.716993 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.717098 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.719827 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.725028 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.724593 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.725252 Stopping. Best iteration: [41] validation_0-merror:0.266667 validation_0-mlogloss:0.716993 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05952 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02215 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987663 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95715 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930433 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906788 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886953 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870299 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853078 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841657 [10] validation_0-merror:0.3 validation_0-mlogloss:0.830464 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814928 [12] validation_0-merror:0.3 validation_0-mlogloss:0.805654 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796514 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78745 [15] validation_0-merror:0.3 validation_0-mlogloss:0.781382 [16] validation_0-merror:0.3 validation_0-mlogloss:0.771464 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763888 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757985 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.748252 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744473 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739032 [22] validation_0-merror:0.3 validation_0-mlogloss:0.736906 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.732602 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73193 [25] validation_0-merror:0.3 validation_0-mlogloss:0.727322 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723707 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722102 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.720782 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.716785 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.715677 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.717484 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.716033 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.714693 [34] validation_0-merror:0.3 validation_0-mlogloss:0.715332 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716205 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717422 [37] validation_0-merror:0.3 validation_0-mlogloss:0.715053 [38] validation_0-merror:0.3 validation_0-mlogloss:0.714352 [39] validation_0-merror:0.3 validation_0-mlogloss:0.715173 [40] validation_0-merror:0.3 validation_0-mlogloss:0.715057 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.714413 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712429 [43] validation_0-merror:0.3 validation_0-mlogloss:0.712717 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.712645 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.712299 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.711757 [47] validation_0-merror:0.3 validation_0-mlogloss:0.710864 [48] validation_0-merror:0.3 validation_0-mlogloss:0.711657 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.710963 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708511 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.709028 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.709471 [53] validation_0-merror:0.3 validation_0-mlogloss:0.709536 [54] validation_0-merror:0.3 validation_0-mlogloss:0.707926 [55] validation_0-merror:0.3 validation_0-mlogloss:0.70986 [56] validation_0-merror:0.3 validation_0-mlogloss:0.712046 [57] validation_0-merror:0.3 validation_0-mlogloss:0.712891 [58] validation_0-merror:0.3 validation_0-mlogloss:0.713541 [59] validation_0-merror:0.3 validation_0-mlogloss:0.711833 Stopping. Best iteration: [54] validation_0-merror:0.3 validation_0-mlogloss:0.707926 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05037 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01727 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.954542 [4] validation_0-merror:0.4 validation_0-mlogloss:0.927813 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.907716 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.89201 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.875008 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862852 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853219 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838554 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822177 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.816019 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.810241 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802812 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792376 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787753 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.785938 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786605 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785148 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.78146 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778812 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.776895 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776963 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.775713 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.776766 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.777285 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.778991 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.780443 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.780887 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.775713 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02274 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986871 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960509 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929569 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910363 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889476 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874095 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855264 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848309 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836795 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828518 [12] validation_0-merror:0.3 validation_0-mlogloss:0.820831 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817926 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.805185 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.803414 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.794627 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.787275 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.785994 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.781858 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.776175 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.773878 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.769405 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.761798 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.754847 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.751379 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.748193 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.745695 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.742116 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.740659 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.739585 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.737804 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.736379 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.733971 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.730607 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.729035 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.731165 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.728855 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.730491 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.733036 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.730241 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.728818 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.732064 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.734985 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.740548 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.743216 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.743801 Stopping. Best iteration: [41] validation_0-merror:0.266667 validation_0-mlogloss:0.728818 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971207 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950508 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930661 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.91213 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894835 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875216 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.853054 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.843355 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831347 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818815 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806197 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795803 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788462 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777221 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768776 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765257 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.764034 [20] validation_0-merror:0.3 validation_0-mlogloss:0.754667 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749354 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745889 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739995 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.731841 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.730459 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.728216 [27] validation_0-merror:0.3 validation_0-mlogloss:0.726062 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.722509 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71809 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.715934 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712067 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711475 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710923 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.713763 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.714599 [36] validation_0-merror:0.3 validation_0-mlogloss:0.71384 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712284 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713589 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710923 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02616 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988914 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961254 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93041 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910977 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.888864 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868116 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848635 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830005 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81421 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805079 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79642 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788596 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.786743 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779244 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775597 [17] validation_0-merror:0.35 validation_0-mlogloss:0.76555 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764467 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759385 [20] validation_0-merror:0.35 validation_0-mlogloss:0.753123 [21] validation_0-merror:0.35 validation_0-mlogloss:0.750861 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752579 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.753374 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.754754 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.753017 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.751279 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.750861 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989965 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971004 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949519 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926779 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903824 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88626 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866234 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85117 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832062 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822113 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811625 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798456 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787663 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787511 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77955 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770073 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763054 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75848 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755937 [21] validation_0-merror:0.35 validation_0-mlogloss:0.748476 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748641 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740909 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738077 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740914 [26] validation_0-merror:0.35 validation_0-mlogloss:0.738587 [27] validation_0-merror:0.35 validation_0-mlogloss:0.734677 [28] validation_0-merror:0.35 validation_0-mlogloss:0.732046 [29] validation_0-merror:0.35 validation_0-mlogloss:0.727505 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.722781 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718723 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.716227 [33] validation_0-merror:0.35 validation_0-mlogloss:0.717371 [34] validation_0-merror:0.35 validation_0-mlogloss:0.713494 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.719764 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.720706 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719389 [38] validation_0-merror:0.35 validation_0-mlogloss:0.718582 [39] validation_0-merror:0.35 validation_0-mlogloss:0.719677 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.713494 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05134 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02406 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996428 [3] validation_0-merror:0.35 validation_0-mlogloss:0.961192 [4] validation_0-merror:0.35 validation_0-mlogloss:0.937052 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913757 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89816 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880332 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863206 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846269 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834942 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819758 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810379 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.8037 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79258 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782649 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775291 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766316 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763944 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762816 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753862 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749548 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740236 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738415 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734765 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.728251 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724032 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72679 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72918 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727546 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724522 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717762 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711439 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.709955 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708604 [35] validation_0-merror:0.3 validation_0-mlogloss:0.703727 [36] validation_0-merror:0.3 validation_0-mlogloss:0.704053 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701682 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704711 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.703843 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.705011 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.700637 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.700805 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.700267 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.700035 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.700613 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.701079 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.698221 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.696521 [49] validation_0-merror:0.3 validation_0-mlogloss:0.696258 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.696524 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.697279 [52] validation_0-merror:0.3 validation_0-mlogloss:0.696253 [53] validation_0-merror:0.3 validation_0-mlogloss:0.698153 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.692872 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.691823 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.694285 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.694438 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.697035 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.696827 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.694687 Stopping. Best iteration: [55] validation_0-merror:0.316667 validation_0-mlogloss:0.691823 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01816 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987606 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955947 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927967 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907543 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891928 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86962 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851624 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834568 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822288 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814845 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.803075 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795037 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790352 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783576 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779823 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775277 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.769626 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763679 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754435 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750893 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.747747 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.746615 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746437 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.743157 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.737919 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.736482 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736505 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.737549 [30] validation_0-merror:0.4 validation_0-mlogloss:0.73844 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.739193 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.73912 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.736482 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995204 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971245 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950224 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.929887 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.908713 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.89393 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.873649 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.861704 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.84815 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.83617 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.824491 [13] validation_0-merror:0.25 validation_0-mlogloss:0.815141 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.805922 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798979 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.79264 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.783593 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.777581 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772679 [20] validation_0-merror:0.3 validation_0-mlogloss:0.766822 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765387 [22] validation_0-merror:0.3 validation_0-mlogloss:0.759888 [23] validation_0-merror:0.3 validation_0-mlogloss:0.750916 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751257 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751114 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.745855 [27] validation_0-merror:0.3 validation_0-mlogloss:0.743359 [28] validation_0-merror:0.3 validation_0-mlogloss:0.737508 [29] validation_0-merror:0.3 validation_0-mlogloss:0.735914 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.736544 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731031 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.730813 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73391 [34] validation_0-merror:0.3 validation_0-mlogloss:0.729639 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734645 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.730569 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.728932 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.728634 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.730588 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.726844 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724205 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.722663 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.723374 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.729702 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.727175 [46] validation_0-merror:0.3 validation_0-mlogloss:0.725166 [47] validation_0-merror:0.3 validation_0-mlogloss:0.724578 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.722663 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05772 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02286 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988836 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958625 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933489 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.910798 [6] validation_0-merror:0.35 validation_0-mlogloss:0.892202 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874784 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.856593 [9] validation_0-merror:0.3 validation_0-mlogloss:0.842901 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835394 [11] validation_0-merror:0.3 validation_0-mlogloss:0.816555 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803137 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.790883 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782438 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.775368 [16] validation_0-merror:0.3 validation_0-mlogloss:0.768878 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761851 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755984 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.747342 [20] validation_0-merror:0.3 validation_0-mlogloss:0.741827 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.736608 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731423 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.724375 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721591 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715151 [26] validation_0-merror:0.3 validation_0-mlogloss:0.715318 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713399 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711846 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710529 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708376 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70663 [32] validation_0-merror:0.3 validation_0-mlogloss:0.706657 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70359 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703676 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.702456 [36] validation_0-merror:0.3 validation_0-mlogloss:0.701527 [37] validation_0-merror:0.3 validation_0-mlogloss:0.7004 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700167 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701814 [40] validation_0-merror:0.3 validation_0-mlogloss:0.700982 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.70197 [42] validation_0-merror:0.3 validation_0-mlogloss:0.702122 [43] validation_0-merror:0.3 validation_0-mlogloss:0.704038 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.700167 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01709 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978872 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952174 [4] validation_0-merror:0.35 validation_0-mlogloss:0.924408 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.901011 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.882711 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864915 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85146 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843292 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828773 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.814913 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808886 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.801855 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.794449 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.787034 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.78407 [17] validation_0-merror:0.4 validation_0-mlogloss:0.781511 [18] validation_0-merror:0.4 validation_0-mlogloss:0.778716 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776094 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.771125 [21] validation_0-merror:0.4 validation_0-mlogloss:0.767984 [22] validation_0-merror:0.4 validation_0-mlogloss:0.766929 [23] validation_0-merror:0.4 validation_0-mlogloss:0.762812 [24] validation_0-merror:0.4 validation_0-mlogloss:0.756576 [25] validation_0-merror:0.4 validation_0-mlogloss:0.755222 [26] validation_0-merror:0.4 validation_0-mlogloss:0.755845 [27] validation_0-merror:0.4 validation_0-mlogloss:0.757342 [28] validation_0-merror:0.4 validation_0-mlogloss:0.757702 [29] validation_0-merror:0.4 validation_0-mlogloss:0.758547 [30] validation_0-merror:0.4 validation_0-mlogloss:0.758893 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.755222 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02503 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989557 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.957132 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927685 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905764 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882513 [7] validation_0-merror:0.3 validation_0-mlogloss:0.867295 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849637 [9] validation_0-merror:0.3 validation_0-mlogloss:0.83946 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831705 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.819956 [12] validation_0-merror:0.3 validation_0-mlogloss:0.810772 [13] validation_0-merror:0.3 validation_0-mlogloss:0.802954 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789695 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786861 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778058 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.769813 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.766489 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.760053 [20] validation_0-merror:0.3 validation_0-mlogloss:0.756928 [21] validation_0-merror:0.3 validation_0-mlogloss:0.754797 [22] validation_0-merror:0.3 validation_0-mlogloss:0.75476 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748401 [24] validation_0-merror:0.3 validation_0-mlogloss:0.740309 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738626 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73494 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.732092 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.728422 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.725831 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.727595 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.728749 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727946 [33] validation_0-merror:0.3 validation_0-mlogloss:0.722958 [34] validation_0-merror:0.3 validation_0-mlogloss:0.723491 [35] validation_0-merror:0.3 validation_0-mlogloss:0.723179 [36] validation_0-merror:0.3 validation_0-mlogloss:0.720304 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.718656 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.7184 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.715941 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.714541 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.714634 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.714225 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.713285 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.712817 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.714098 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.713264 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.712468 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.713231 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.714205 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.71514 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.717192 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.718635 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.712468 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06239 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0235 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99248 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955529 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933611 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.906237 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886411 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868463 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.850596 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834529 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825304 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.811115 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799995 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788179 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776917 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768039 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756863 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.751187 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.748827 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.74723 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739021 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.733212 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.724329 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.71748 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.710115 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706703 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70231 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.708352 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707371 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.698714 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69275 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.689281 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686282 [33] validation_0-merror:0.3 validation_0-mlogloss:0.682028 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684304 [35] validation_0-merror:0.3 validation_0-mlogloss:0.686785 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687894 [37] validation_0-merror:0.3 validation_0-mlogloss:0.684714 [38] validation_0-merror:0.3 validation_0-mlogloss:0.681385 [39] validation_0-merror:0.3 validation_0-mlogloss:0.678393 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678278 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.675249 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.675505 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.674756 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.678243 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.679064 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.680882 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.680339 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.682146 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.674756 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02329 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984102 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.958632 [4] validation_0-merror:0.35 validation_0-mlogloss:0.928551 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906952 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882466 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868673 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847471 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829341 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820005 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.80944 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801645 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.793143 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786874 [15] validation_0-merror:0.35 validation_0-mlogloss:0.774919 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767352 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761756 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758679 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756577 [20] validation_0-merror:0.35 validation_0-mlogloss:0.756923 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756141 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761604 [23] validation_0-merror:0.35 validation_0-mlogloss:0.763394 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765647 [25] validation_0-merror:0.35 validation_0-mlogloss:0.764491 [26] validation_0-merror:0.35 validation_0-mlogloss:0.763017 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.756141 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05482 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01434 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.97895 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.954973 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924853 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907944 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.887624 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87463 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.854732 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84217 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827572 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820128 [12] validation_0-merror:0.3 validation_0-mlogloss:0.805905 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79722 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787305 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790186 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780779 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.779628 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.77403 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772102 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776638 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776915 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.77695 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.770978 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.771104 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.775584 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.773048 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.773873 [28] validation_0-merror:0.35 validation_0-mlogloss:0.774597 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.770978 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04426 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00651 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976424 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.938603 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919272 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.889573 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.866611 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.844893 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.828906 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.814708 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.803658 [11] validation_0-merror:0.3 validation_0-mlogloss:0.792428 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.779347 [13] validation_0-merror:0.3 validation_0-mlogloss:0.767685 [14] validation_0-merror:0.3 validation_0-mlogloss:0.760207 [15] validation_0-merror:0.3 validation_0-mlogloss:0.749969 [16] validation_0-merror:0.3 validation_0-mlogloss:0.742159 [17] validation_0-merror:0.3 validation_0-mlogloss:0.735386 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.735257 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.73193 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.729108 [21] validation_0-merror:0.3 validation_0-mlogloss:0.725614 [22] validation_0-merror:0.3 validation_0-mlogloss:0.720203 [23] validation_0-merror:0.3 validation_0-mlogloss:0.715903 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713026 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71328 [26] validation_0-merror:0.3 validation_0-mlogloss:0.707461 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711765 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710223 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710929 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706098 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703323 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.699544 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699543 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.69972 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.7014 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697688 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.699331 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698784 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.698665 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702618 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.700033 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697688 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00556 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975206 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.944676 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913455 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.882999 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.865184 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.847463 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.826974 [9] validation_0-merror:0.3 validation_0-mlogloss:0.814981 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.807049 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.801959 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794865 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789808 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78362 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776773 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77808 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772078 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767153 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760674 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75997 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758375 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75962 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764351 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.764526 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.762442 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763899 Stopping. Best iteration: [22] validation_0-merror:0.3 validation_0-mlogloss:0.758375 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04909 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01017 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983963 [3] validation_0-merror:0.35 validation_0-mlogloss:0.961936 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932796 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913127 [6] validation_0-merror:0.3 validation_0-mlogloss:0.890019 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.87965 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860342 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.849056 [10] validation_0-merror:0.3 validation_0-mlogloss:0.842296 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834681 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82262 [13] validation_0-merror:0.3 validation_0-mlogloss:0.813786 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803519 [15] validation_0-merror:0.3 validation_0-mlogloss:0.802529 [16] validation_0-merror:0.3 validation_0-mlogloss:0.799546 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792962 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787461 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.781079 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.77921 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781673 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.780136 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.778185 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.772999 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.77531 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.776 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.777802 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.774012 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.770113 [30] validation_0-merror:0.3 validation_0-mlogloss:0.767834 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.77306 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.769646 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.773094 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.772851 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.779465 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.767834 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00971 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.972861 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939861 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.90912 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.882266 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.859842 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.840236 [8] validation_0-merror:0.3 validation_0-mlogloss:0.827258 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.816904 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.806257 [11] validation_0-merror:0.233333 validation_0-mlogloss:0.788496 [12] validation_0-merror:0.25 validation_0-mlogloss:0.773969 [13] validation_0-merror:0.25 validation_0-mlogloss:0.760859 [14] validation_0-merror:0.25 validation_0-mlogloss:0.75135 [15] validation_0-merror:0.25 validation_0-mlogloss:0.741604 [16] validation_0-merror:0.25 validation_0-mlogloss:0.734511 [17] validation_0-merror:0.25 validation_0-mlogloss:0.730186 [18] validation_0-merror:0.25 validation_0-mlogloss:0.72635 [19] validation_0-merror:0.25 validation_0-mlogloss:0.723083 [20] validation_0-merror:0.25 validation_0-mlogloss:0.719817 [21] validation_0-merror:0.25 validation_0-mlogloss:0.714141 [22] validation_0-merror:0.25 validation_0-mlogloss:0.713861 [23] validation_0-merror:0.25 validation_0-mlogloss:0.71465 [24] validation_0-merror:0.25 validation_0-mlogloss:0.710736 [25] validation_0-merror:0.25 validation_0-mlogloss:0.708112 [26] validation_0-merror:0.25 validation_0-mlogloss:0.707382 [27] validation_0-merror:0.25 validation_0-mlogloss:0.710106 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.709895 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.708208 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.705571 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.705963 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.706216 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.706509 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.705901 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.704206 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.705818 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.708844 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.708999 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.709334 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.709061 Stopping. Best iteration: [35] validation_0-merror:0.233333 validation_0-mlogloss:0.704206 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05609 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0216 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985073 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955836 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925666 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899389 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881285 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.865726 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.849676 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840021 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832647 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823001 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815575 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810997 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806306 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.79807 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.792033 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786635 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792738 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.787746 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.792405 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.792789 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.79467 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.786635 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06132 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0186 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.980592 [3] validation_0-merror:0.35 validation_0-mlogloss:0.956184 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930786 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903108 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878838 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866648 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854736 [9] validation_0-merror:0.35 validation_0-mlogloss:0.845547 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.836857 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833364 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.828718 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826533 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.82087 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.818989 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.813524 [17] validation_0-merror:0.35 validation_0-mlogloss:0.807676 [18] validation_0-merror:0.35 validation_0-mlogloss:0.809961 [19] validation_0-merror:0.35 validation_0-mlogloss:0.813299 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.813048 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.812503 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.812685 Stopping. Best iteration: [17] validation_0-merror:0.35 validation_0-mlogloss:0.807676 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0143 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.983791 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.951352 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.928739 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90421 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.886773 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863173 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.84177 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.828373 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820328 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806559 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797443 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786923 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.774362 [15] validation_0-merror:0.3 validation_0-mlogloss:0.76472 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.757111 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.747867 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74492 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743363 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.733145 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.72806 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.719688 [23] validation_0-merror:0.3 validation_0-mlogloss:0.711221 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.703918 [25] validation_0-merror:0.3 validation_0-mlogloss:0.69977 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.692459 [27] validation_0-merror:0.3 validation_0-mlogloss:0.694881 [28] validation_0-merror:0.3 validation_0-mlogloss:0.693413 [29] validation_0-merror:0.3 validation_0-mlogloss:0.688391 [30] validation_0-merror:0.3 validation_0-mlogloss:0.683916 [31] validation_0-merror:0.3 validation_0-mlogloss:0.679734 [32] validation_0-merror:0.3 validation_0-mlogloss:0.681045 [33] validation_0-merror:0.3 validation_0-mlogloss:0.681503 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683947 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.685438 [36] validation_0-merror:0.3 validation_0-mlogloss:0.685144 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.679734 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02531 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987039 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96088 [4] validation_0-merror:0.35 validation_0-mlogloss:0.929988 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906642 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886319 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872444 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851602 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83557 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82199 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810473 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.80195 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.794963 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.791977 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.783543 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.781506 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.778105 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775822 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773636 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771743 [21] validation_0-merror:0.35 validation_0-mlogloss:0.770512 [22] validation_0-merror:0.35 validation_0-mlogloss:0.772778 [23] validation_0-merror:0.35 validation_0-mlogloss:0.772984 [24] validation_0-merror:0.35 validation_0-mlogloss:0.772047 [25] validation_0-merror:0.35 validation_0-mlogloss:0.769297 [26] validation_0-merror:0.35 validation_0-mlogloss:0.770711 [27] validation_0-merror:0.35 validation_0-mlogloss:0.77172 [28] validation_0-merror:0.35 validation_0-mlogloss:0.77386 [29] validation_0-merror:0.35 validation_0-mlogloss:0.772504 [30] validation_0-merror:0.35 validation_0-mlogloss:0.774163 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.769297 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0539 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.0102 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.975474 [3] validation_0-merror:0.25 validation_0-mlogloss:0.960256 [4] validation_0-merror:0.25 validation_0-mlogloss:0.9321 [5] validation_0-merror:0.3 validation_0-mlogloss:0.91464 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895446 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882058 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859402 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849508 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.833451 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824908 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811155 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.798178 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789379 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779258 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769808 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.763298 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756961 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75202 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750764 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749091 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.741952 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.737051 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741579 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741878 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.74054 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736542 [29] validation_0-merror:0.3 validation_0-mlogloss:0.734459 [30] validation_0-merror:0.3 validation_0-mlogloss:0.733384 [31] validation_0-merror:0.3 validation_0-mlogloss:0.731779 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727818 [33] validation_0-merror:0.3 validation_0-mlogloss:0.731478 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732584 [35] validation_0-merror:0.3 validation_0-mlogloss:0.738389 [36] validation_0-merror:0.3 validation_0-mlogloss:0.736121 [37] validation_0-merror:0.3 validation_0-mlogloss:0.733582 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.727818 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04567 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00908 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977737 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94271 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922196 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896419 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878137 [7] validation_0-merror:0.35 validation_0-mlogloss:0.856309 [8] validation_0-merror:0.35 validation_0-mlogloss:0.839169 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.821773 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808378 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.798899 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.787295 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.777444 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.767957 [15] validation_0-merror:0.35 validation_0-mlogloss:0.759498 [16] validation_0-merror:0.35 validation_0-mlogloss:0.749673 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.741287 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.738376 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738778 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.734265 [21] validation_0-merror:0.35 validation_0-mlogloss:0.730395 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722779 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.719125 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715712 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.71214 [26] validation_0-merror:0.3 validation_0-mlogloss:0.707514 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709703 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710808 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708794 [30] validation_0-merror:0.3 validation_0-mlogloss:0.701452 [31] validation_0-merror:0.3 validation_0-mlogloss:0.698197 [32] validation_0-merror:0.3 validation_0-mlogloss:0.696292 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693735 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694283 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692178 [36] validation_0-merror:0.3 validation_0-mlogloss:0.693976 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69701 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697728 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.698393 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702486 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692178 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05036 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00896 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982009 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948848 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917863 [5] validation_0-merror:0.35 validation_0-mlogloss:0.892878 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878199 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859933 [8] validation_0-merror:0.35 validation_0-mlogloss:0.839418 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.825508 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817698 [11] validation_0-merror:0.35 validation_0-mlogloss:0.81006 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802477 [13] validation_0-merror:0.35 validation_0-mlogloss:0.793765 [14] validation_0-merror:0.35 validation_0-mlogloss:0.789705 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782368 [16] validation_0-merror:0.35 validation_0-mlogloss:0.781346 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778142 [18] validation_0-merror:0.35 validation_0-mlogloss:0.777433 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771419 [20] validation_0-merror:0.35 validation_0-mlogloss:0.767965 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767359 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765292 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765181 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.770187 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767993 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.768002 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.765111 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763389 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759144 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762019 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.769037 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.767525 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.768433 [34] validation_0-merror:0.35 validation_0-mlogloss:0.768608 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759144 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01213 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983089 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965892 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932029 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910445 [6] validation_0-merror:0.3 validation_0-mlogloss:0.8933 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878276 [8] validation_0-merror:0.3 validation_0-mlogloss:0.860889 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851508 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845238 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834287 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821743 [13] validation_0-merror:0.3 validation_0-mlogloss:0.812438 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.801533 [15] validation_0-merror:0.3 validation_0-mlogloss:0.803294 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.797481 [17] validation_0-merror:0.3 validation_0-mlogloss:0.788695 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789377 [19] validation_0-merror:0.3 validation_0-mlogloss:0.783925 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.782593 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.786221 [22] validation_0-merror:0.3 validation_0-mlogloss:0.783341 [23] validation_0-merror:0.3 validation_0-mlogloss:0.78087 [24] validation_0-merror:0.3 validation_0-mlogloss:0.775183 [25] validation_0-merror:0.3 validation_0-mlogloss:0.776076 [26] validation_0-merror:0.3 validation_0-mlogloss:0.774792 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.774702 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.770085 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.769815 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770828 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.772497 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.769587 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.774502 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.772587 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.778225 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7779 [37] validation_0-merror:0.3 validation_0-mlogloss:0.777723 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.769587 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05291 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01536 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977178 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.946279 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.918483 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894581 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.873653 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857758 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841282 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.830198 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.817988 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802996 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.79043 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.775655 [14] validation_0-merror:0.3 validation_0-mlogloss:0.767887 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.758205 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.752058 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7483 [18] validation_0-merror:0.3 validation_0-mlogloss:0.742538 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739901 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.734643 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.729551 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731948 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.730635 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.724947 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.721517 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.715874 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.716077 [28] validation_0-merror:0.25 validation_0-mlogloss:0.714494 [29] validation_0-merror:0.25 validation_0-mlogloss:0.711794 [30] validation_0-merror:0.25 validation_0-mlogloss:0.710036 [31] validation_0-merror:0.25 validation_0-mlogloss:0.710209 [32] validation_0-merror:0.25 validation_0-mlogloss:0.709278 [33] validation_0-merror:0.25 validation_0-mlogloss:0.710138 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.71383 [35] validation_0-merror:0.25 validation_0-mlogloss:0.71641 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.716001 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.714476 Stopping. Best iteration: [32] validation_0-merror:0.25 validation_0-mlogloss:0.709278 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02125 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98317 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958014 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926343 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.904653 [6] validation_0-merror:0.35 validation_0-mlogloss:0.883915 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866532 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849059 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840347 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825874 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811899 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803996 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797607 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790146 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781579 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777996 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77478 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774462 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77439 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773646 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769553 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772603 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772356 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770709 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.771413 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.773264 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769553 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0564 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02201 [2] validation_0-merror:0.4 validation_0-mlogloss:0.986206 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.958751 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92459 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900323 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879389 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865507 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852695 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848806 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840446 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832014 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820796 [13] validation_0-merror:0.35 validation_0-mlogloss:0.814832 [14] validation_0-merror:0.35 validation_0-mlogloss:0.806462 [15] validation_0-merror:0.35 validation_0-mlogloss:0.801066 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789465 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.783332 [18] validation_0-merror:0.35 validation_0-mlogloss:0.780247 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773615 [20] validation_0-merror:0.3 validation_0-mlogloss:0.774259 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773134 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.775508 [23] validation_0-merror:0.3 validation_0-mlogloss:0.771626 [24] validation_0-merror:0.3 validation_0-mlogloss:0.766873 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.762032 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761815 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763723 [28] validation_0-merror:0.3 validation_0-mlogloss:0.762227 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.762919 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.765418 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.767502 Stopping. Best iteration: [26] validation_0-merror:0.3 validation_0-mlogloss:0.761815 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989029 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958247 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935586 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909898 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892947 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872934 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85751 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845062 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837153 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827033 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.815191 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.807037 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797274 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.786628 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77727 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765417 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.763649 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.759476 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.750907 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747264 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742577 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.732525 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726092 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.72657 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723743 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.723334 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.723493 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718019 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.714666 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.709939 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.707647 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.70554 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.705797 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.707045 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.707848 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.706134 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.706127 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.70554 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98671 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96239 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932611 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909799 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886817 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869062 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850649 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830882 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814169 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804773 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799525 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.790893 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.78551 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780635 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777377 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.77445 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.774488 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772138 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.765885 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760385 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76037 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761606 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.762567 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761652 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.76164 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757327 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.758517 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.76154 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.761965 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.760811 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.757394 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757327 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0188 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985376 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966249 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939198 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916045 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897493 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883692 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863849 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.850675 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.831835 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824006 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808146 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794875 [14] validation_0-merror:0.3 validation_0-mlogloss:0.782052 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784971 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775087 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764126 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758761 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752219 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744862 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743209 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740029 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732248 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729336 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731312 [26] validation_0-merror:0.3 validation_0-mlogloss:0.732709 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728851 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724768 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72172 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718672 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715802 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709359 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713004 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.711428 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.717954 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717911 [37] validation_0-merror:0.3 validation_0-mlogloss:0.713659 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709359 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04898 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01182 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985763 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.95038 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930476 [5] validation_0-merror:0.3 validation_0-mlogloss:0.906074 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888622 [7] validation_0-merror:0.3 validation_0-mlogloss:0.867082 [8] validation_0-merror:0.3 validation_0-mlogloss:0.84871 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834479 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821539 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809894 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799162 [13] validation_0-merror:0.3 validation_0-mlogloss:0.790967 [14] validation_0-merror:0.3 validation_0-mlogloss:0.782376 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.772683 [16] validation_0-merror:0.3 validation_0-mlogloss:0.76245 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754403 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749928 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751445 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.744772 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.744546 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.737179 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.734516 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72911 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724608 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718837 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721964 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.720824 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719945 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714252 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.708869 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705209 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706263 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705572 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701477 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.699052 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.697361 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.699414 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.698518 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.701087 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.700685 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.699334 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.697361 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00545 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977232 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947784 [4] validation_0-merror:0.35 validation_0-mlogloss:0.917807 [5] validation_0-merror:0.35 validation_0-mlogloss:0.891746 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.875901 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857463 [8] validation_0-merror:0.35 validation_0-mlogloss:0.837188 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.82367 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815968 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809321 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797406 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792792 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788209 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782502 [16] validation_0-merror:0.35 validation_0-mlogloss:0.78179 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780534 [18] validation_0-merror:0.35 validation_0-mlogloss:0.778173 [19] validation_0-merror:0.35 validation_0-mlogloss:0.772154 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765765 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765456 [22] validation_0-merror:0.35 validation_0-mlogloss:0.762291 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762155 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764179 [25] validation_0-merror:0.35 validation_0-mlogloss:0.762489 [26] validation_0-merror:0.35 validation_0-mlogloss:0.762138 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758336 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754985 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752147 [30] validation_0-merror:0.35 validation_0-mlogloss:0.753189 [31] validation_0-merror:0.35 validation_0-mlogloss:0.758895 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.756821 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.756533 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.758814 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752147 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01232 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984945 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958872 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937357 [5] validation_0-merror:0.3 validation_0-mlogloss:0.913216 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.89301 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.878147 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.856232 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.844853 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.835129 [11] validation_0-merror:0.25 validation_0-mlogloss:0.822502 [12] validation_0-merror:0.25 validation_0-mlogloss:0.808619 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798083 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.786259 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.784524 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.781084 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.774693 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.773828 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.76898 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764927 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765519 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758352 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.753705 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.750167 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751486 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.743804 [27] validation_0-merror:0.3 validation_0-mlogloss:0.742016 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737476 [29] validation_0-merror:0.3 validation_0-mlogloss:0.738721 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737527 [31] validation_0-merror:0.3 validation_0-mlogloss:0.735252 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.733914 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.736445 [34] validation_0-merror:0.3 validation_0-mlogloss:0.735645 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.740117 [36] validation_0-merror:0.3 validation_0-mlogloss:0.742121 [37] validation_0-merror:0.3 validation_0-mlogloss:0.742052 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.733914 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05208 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01394 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976192 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.943558 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916024 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.889144 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.867306 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.848864 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.831334 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820524 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.81194 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.79571 [12] validation_0-merror:0.3 validation_0-mlogloss:0.780204 [13] validation_0-merror:0.3 validation_0-mlogloss:0.771147 [14] validation_0-merror:0.3 validation_0-mlogloss:0.760501 [15] validation_0-merror:0.3 validation_0-mlogloss:0.753264 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.744211 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.739387 [18] validation_0-merror:0.3 validation_0-mlogloss:0.731858 [19] validation_0-merror:0.3 validation_0-mlogloss:0.724318 [20] validation_0-merror:0.3 validation_0-mlogloss:0.719148 [21] validation_0-merror:0.3 validation_0-mlogloss:0.715829 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.715045 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.711556 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.705107 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.700674 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.697128 [27] validation_0-merror:0.25 validation_0-mlogloss:0.693371 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.691026 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.6865 [30] validation_0-merror:0.25 validation_0-mlogloss:0.683824 [31] validation_0-merror:0.25 validation_0-mlogloss:0.684198 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.684521 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.683503 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.684548 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.685154 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.686691 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.685786 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.686507 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.683503 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05451 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02063 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98183 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.956198 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931349 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.906653 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885214 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866186 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853513 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844187 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830337 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816176 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805839 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793759 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784505 [16] validation_0-merror:0.35 validation_0-mlogloss:0.780991 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779036 [18] validation_0-merror:0.35 validation_0-mlogloss:0.777903 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771443 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765785 [21] validation_0-merror:0.3 validation_0-mlogloss:0.76284 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.762832 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.761592 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760484 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760161 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761122 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.76346 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.762423 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.767696 [30] validation_0-merror:0.35 validation_0-mlogloss:0.772488 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760161 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02871 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993858 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967573 [4] validation_0-merror:0.4 validation_0-mlogloss:0.94262 [5] validation_0-merror:0.4 validation_0-mlogloss:0.916744 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895255 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.87494 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85387 [9] validation_0-merror:0.35 validation_0-mlogloss:0.850052 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.835434 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823162 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.80886 [13] validation_0-merror:0.3 validation_0-mlogloss:0.799393 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786587 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.782074 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.773933 [17] validation_0-merror:0.25 validation_0-mlogloss:0.768892 [18] validation_0-merror:0.25 validation_0-mlogloss:0.76763 [19] validation_0-merror:0.25 validation_0-mlogloss:0.764556 [20] validation_0-merror:0.25 validation_0-mlogloss:0.763389 [21] validation_0-merror:0.25 validation_0-mlogloss:0.762893 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.762978 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.759488 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.758271 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.755812 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.752415 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.753936 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.7518 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.750938 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.756242 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.757744 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.759091 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.758414 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.75912 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.750938 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971498 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949281 [5] validation_0-merror:0.4 validation_0-mlogloss:0.923806 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.904884 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888021 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872253 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852631 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842276 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827972 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.816661 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808923 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797424 [15] validation_0-merror:0.35 validation_0-mlogloss:0.789725 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78086 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772325 [18] validation_0-merror:0.35 validation_0-mlogloss:0.766612 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763381 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754406 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747512 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742616 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740352 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734098 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.736047 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733926 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732742 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.733495 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727184 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725439 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72294 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722267 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719151 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720992 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.725664 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.72654 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.724914 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.723884 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719151 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986762 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.963383 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927977 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906811 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885457 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867348 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848902 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829646 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813848 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802564 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795235 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786859 [14] validation_0-merror:0.35 validation_0-mlogloss:0.780427 [15] validation_0-merror:0.35 validation_0-mlogloss:0.773568 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769799 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759872 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.760517 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.755856 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751435 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.74533 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.746771 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.749367 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.752733 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.750882 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747512 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.74533 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940423 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920704 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.90252 [7] validation_0-merror:0.3 validation_0-mlogloss:0.887261 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869395 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.860518 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843894 [11] validation_0-merror:0.35 validation_0-mlogloss:0.833448 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818251 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803316 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792835 [15] validation_0-merror:0.35 validation_0-mlogloss:0.795061 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787353 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777947 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772566 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767163 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.761684 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75619 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754412 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74797 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746189 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746941 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748287 [27] validation_0-merror:0.35 validation_0-mlogloss:0.745478 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744756 [29] validation_0-merror:0.35 validation_0-mlogloss:0.738055 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734316 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.728894 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726702 [33] validation_0-merror:0.35 validation_0-mlogloss:0.729951 [34] validation_0-merror:0.35 validation_0-mlogloss:0.731661 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734161 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.733081 [37] validation_0-merror:0.35 validation_0-mlogloss:0.730123 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726702 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01553 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989895 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953563 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930782 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904748 [6] validation_0-merror:0.3 validation_0-mlogloss:0.883691 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.867855 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856713 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840854 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830001 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819245 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807292 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796703 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788914 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781292 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775431 [17] validation_0-merror:0.3 validation_0-mlogloss:0.766892 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765071 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761068 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755939 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.751289 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.744376 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740427 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733165 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7301 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726144 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728473 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728354 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725861 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719868 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716462 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713489 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.707791 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706117 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.702645 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.699612 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.696656 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.699278 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.695141 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.696256 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.692039 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.691608 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.690684 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.690865 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.691694 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.691869 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.690662 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.687034 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.686917 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.68793 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.690276 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.686798 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.68987 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.686315 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685273 [56] validation_0-merror:0.3 validation_0-mlogloss:0.68865 [57] validation_0-merror:0.3 validation_0-mlogloss:0.689739 [58] validation_0-merror:0.3 validation_0-mlogloss:0.69177 [59] validation_0-merror:0.3 validation_0-mlogloss:0.690843 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.692086 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.685273 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0543 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01086 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982437 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950106 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919257 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892894 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879408 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857863 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839308 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.824915 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816231 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811966 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80012 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795398 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792609 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782251 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.777866 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773218 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.771072 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.765034 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755752 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756436 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.754676 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756912 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75627 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755713 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754426 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752635 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752463 [29] validation_0-merror:0.35 validation_0-mlogloss:0.755562 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755019 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755778 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.756688 [33] validation_0-merror:0.35 validation_0-mlogloss:0.756938 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.752463 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01623 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986024 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958866 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937967 [5] validation_0-merror:0.3 validation_0-mlogloss:0.912436 [6] validation_0-merror:0.3 validation_0-mlogloss:0.89392 [7] validation_0-merror:0.3 validation_0-mlogloss:0.880374 [8] validation_0-merror:0.25 validation_0-mlogloss:0.860424 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.848027 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.835132 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.822265 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.810954 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.800839 [14] validation_0-merror:0.3 validation_0-mlogloss:0.790555 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78593 [16] validation_0-merror:0.3 validation_0-mlogloss:0.7814 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775142 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.774941 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767754 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760444 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.758766 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.75693 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.751384 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.750421 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.75077 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.744047 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.741664 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.737007 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.738292 [30] validation_0-merror:0.3 validation_0-mlogloss:0.740296 [31] validation_0-merror:0.3 validation_0-mlogloss:0.734165 [32] validation_0-merror:0.3 validation_0-mlogloss:0.73253 [33] validation_0-merror:0.3 validation_0-mlogloss:0.736933 [34] validation_0-merror:0.3 validation_0-mlogloss:0.734105 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.738225 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.734373 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.732921 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.73253 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01915 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984733 [3] validation_0-merror:0.35 validation_0-mlogloss:0.952707 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926956 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.901495 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882055 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864108 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.845044 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833642 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822258 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804222 [12] validation_0-merror:0.3 validation_0-mlogloss:0.789725 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.7772 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.769304 [15] validation_0-merror:0.3 validation_0-mlogloss:0.762711 [16] validation_0-merror:0.3 validation_0-mlogloss:0.752951 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749224 [18] validation_0-merror:0.3 validation_0-mlogloss:0.745052 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738348 [20] validation_0-merror:0.3 validation_0-mlogloss:0.734522 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731549 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726787 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723404 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.719367 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.716276 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712421 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.711853 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709741 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707589 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706112 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703933 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70429 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.702201 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704847 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.7052 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704935 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.703739 [38] validation_0-merror:0.3 validation_0-mlogloss:0.701355 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701789 [40] validation_0-merror:0.3 validation_0-mlogloss:0.701986 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.704702 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702465 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.704392 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.701355 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05229 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01646 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979196 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953481 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929077 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906228 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.887474 [7] validation_0-merror:0.4 validation_0-mlogloss:0.871758 [8] validation_0-merror:0.4 validation_0-mlogloss:0.85893 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.849533 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.834379 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819587 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.807881 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797529 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792796 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.788509 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784689 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.781077 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78189 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78139 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77827 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77686 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.77812 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776899 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773105 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773287 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.77397 [27] validation_0-merror:0.35 validation_0-mlogloss:0.774969 [28] validation_0-merror:0.35 validation_0-mlogloss:0.776802 [29] validation_0-merror:0.35 validation_0-mlogloss:0.77902 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773105 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985948 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960556 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.930456 [5] validation_0-merror:0.3 validation_0-mlogloss:0.911208 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891326 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874821 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857014 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.850705 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837613 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829544 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.820578 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.81637 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800666 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.801289 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.793661 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.787025 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.788319 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.783941 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.781115 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.775949 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.770814 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.762066 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.755086 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.749399 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.746228 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.745974 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.743339 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.741776 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.739979 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.738076 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.739046 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.736526 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.734292 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.730683 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.731433 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.73207 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.732238 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.733101 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.731845 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.730683 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971807 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950962 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930523 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911932 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.894746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875178 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860044 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850288 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838409 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825625 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814433 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80482 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795725 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784448 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775635 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772128 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769718 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760339 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755377 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751216 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746863 [24] validation_0-merror:0.3 validation_0-mlogloss:0.74005 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738415 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736239 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735295 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730039 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725746 [30] validation_0-merror:0.3 validation_0-mlogloss:0.723548 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719634 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.716801 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714084 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714653 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716872 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716147 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714852 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717843 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.714084 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02616 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988914 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962209 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930219 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907992 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885947 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864857 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845497 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828928 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812438 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802974 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794574 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786758 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.784631 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777354 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773521 [17] validation_0-merror:0.35 validation_0-mlogloss:0.764295 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763076 [19] validation_0-merror:0.35 validation_0-mlogloss:0.75817 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752001 [21] validation_0-merror:0.35 validation_0-mlogloss:0.746087 [22] validation_0-merror:0.35 validation_0-mlogloss:0.74636 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.747311 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.748003 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.745909 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.744924 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.743445 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.739245 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.737316 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.73762 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.736669 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.736479 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.736478 [34] validation_0-merror:0.4 validation_0-mlogloss:0.738703 [35] validation_0-merror:0.4 validation_0-mlogloss:0.740753 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.740929 [37] validation_0-merror:0.4 validation_0-mlogloss:0.744142 [38] validation_0-merror:0.4 validation_0-mlogloss:0.741494 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.736478 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989965 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971004 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949519 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926779 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903824 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88626 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866234 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85117 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832062 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822113 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810819 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797673 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786908 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787213 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779237 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769714 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762912 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759029 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756431 [21] validation_0-merror:0.35 validation_0-mlogloss:0.748605 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748792 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741189 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.73981 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74266 [26] validation_0-merror:0.35 validation_0-mlogloss:0.7417 [27] validation_0-merror:0.35 validation_0-mlogloss:0.737799 [28] validation_0-merror:0.35 validation_0-mlogloss:0.735166 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.731808 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.728693 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.726215 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.723747 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.725464 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721566 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727788 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728734 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727472 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.726707 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.727739 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721566 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02144 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991776 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956545 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932469 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907475 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890373 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873985 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857732 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84073 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830275 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816277 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805195 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798863 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78804 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778307 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.771483 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762407 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760829 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75774 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753282 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751126 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741432 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73968 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.735343 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.730695 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.728024 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72921 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73161 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72901 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724966 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719692 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714129 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.712828 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.711415 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706907 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705379 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.703951 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.705935 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.70089 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702004 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.696502 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696322 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695376 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694838 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695203 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.69591 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692596 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689239 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.689812 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689965 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.691396 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690601 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.692496 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689239 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01813 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988302 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957085 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929134 [5] validation_0-merror:0.3 validation_0-mlogloss:0.908955 [6] validation_0-merror:0.3 validation_0-mlogloss:0.893559 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871376 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852992 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835991 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823378 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815021 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802869 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798224 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79502 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787803 [16] validation_0-merror:0.35 validation_0-mlogloss:0.784564 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.781091 [18] validation_0-merror:0.4 validation_0-mlogloss:0.77646 [19] validation_0-merror:0.4 validation_0-mlogloss:0.771834 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.762395 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758842 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.753679 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754637 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755231 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.75436 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.750191 [27] validation_0-merror:0.4 validation_0-mlogloss:0.748111 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.747709 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749205 [30] validation_0-merror:0.4 validation_0-mlogloss:0.751164 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.748886 [32] validation_0-merror:0.4 validation_0-mlogloss:0.748974 [33] validation_0-merror:0.4 validation_0-mlogloss:0.748495 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.747709 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930325 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.91086 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.897951 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.877892 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865933 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854622 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.841962 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.830237 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.820719 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.811068 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803712 [16] validation_0-merror:0.3 validation_0-mlogloss:0.797468 [17] validation_0-merror:0.3 validation_0-mlogloss:0.788038 [18] validation_0-merror:0.3 validation_0-mlogloss:0.785033 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782049 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773342 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772647 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768894 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.761741 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.760603 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.761556 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757748 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755161 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749224 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751452 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.75302 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746924 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744852 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.747027 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742652 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.747409 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74349 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742286 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.742041 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.744254 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.740327 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.739141 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.737305 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.737106 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.743203 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.74058 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.740683 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.740143 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.740277 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.737106 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02074 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986588 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956589 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930673 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907203 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887911 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.870963 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852791 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840222 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829448 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.8117 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798261 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785429 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.775548 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768537 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.760508 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751797 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746629 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.740594 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731083 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.72729 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722526 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.718961 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715224 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711963 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710377 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705342 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703963 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701371 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700231 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698321 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.695126 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.692988 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696132 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696165 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695443 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.69524 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.696954 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.692988 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952065 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925596 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900962 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.882212 [7] validation_0-merror:0.4 validation_0-mlogloss:0.864457 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852066 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.841051 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827334 [11] validation_0-merror:0.4 validation_0-mlogloss:0.815802 [12] validation_0-merror:0.4 validation_0-mlogloss:0.811354 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.804136 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.79765 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.790857 [16] validation_0-merror:0.4 validation_0-mlogloss:0.789676 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784355 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779449 [19] validation_0-merror:0.4 validation_0-mlogloss:0.780133 [20] validation_0-merror:0.4 validation_0-mlogloss:0.775293 [21] validation_0-merror:0.4 validation_0-mlogloss:0.772825 [22] validation_0-merror:0.4 validation_0-mlogloss:0.772821 [23] validation_0-merror:0.4 validation_0-mlogloss:0.77065 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764696 [25] validation_0-merror:0.4 validation_0-mlogloss:0.765068 [26] validation_0-merror:0.4 validation_0-mlogloss:0.763272 [27] validation_0-merror:0.4 validation_0-mlogloss:0.762619 [28] validation_0-merror:0.4 validation_0-mlogloss:0.764528 [29] validation_0-merror:0.4 validation_0-mlogloss:0.764257 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.76687 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.7666 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.768521 Stopping. Best iteration: [27] validation_0-merror:0.4 validation_0-mlogloss:0.762619 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02603 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990491 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958929 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928603 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907252 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.884248 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868184 [8] validation_0-merror:0.3 validation_0-mlogloss:0.849983 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840095 [10] validation_0-merror:0.3 validation_0-mlogloss:0.831483 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82229 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81372 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805907 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791907 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789032 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.779969 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.772336 [18] validation_0-merror:0.3 validation_0-mlogloss:0.771652 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765336 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763866 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764325 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759607 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75409 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745426 [25] validation_0-merror:0.3 validation_0-mlogloss:0.744335 [26] validation_0-merror:0.3 validation_0-mlogloss:0.743539 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.740592 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.736239 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.733663 [30] validation_0-merror:0.3 validation_0-mlogloss:0.73162 [31] validation_0-merror:0.3 validation_0-mlogloss:0.733092 [32] validation_0-merror:0.3 validation_0-mlogloss:0.731187 [33] validation_0-merror:0.3 validation_0-mlogloss:0.7277 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.72841 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.730125 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.732051 [37] validation_0-merror:0.25 validation_0-mlogloss:0.730998 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.729126 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.7277 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02338 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992365 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954735 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.9327 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906287 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887073 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.867334 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847773 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.828313 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820096 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809447 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799698 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788016 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.778022 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770139 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75916 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.754072 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753227 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751589 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742774 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737245 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729038 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.722208 [24] validation_0-merror:0.35 validation_0-mlogloss:0.715106 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.710588 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.706073 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.710314 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.708964 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.703946 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.69811 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.69623 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.69287 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.691576 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.693852 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696389 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696463 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693286 [38] validation_0-merror:0.3 validation_0-mlogloss:0.691454 [39] validation_0-merror:0.3 validation_0-mlogloss:0.687281 [40] validation_0-merror:0.3 validation_0-mlogloss:0.689483 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.687037 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.685594 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.685329 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.6855 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.686904 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.68864 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.68889 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689502 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.685329 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02329 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984102 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957852 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925844 [5] validation_0-merror:0.35 validation_0-mlogloss:0.904294 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881253 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.866301 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.845254 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829793 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818112 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.811118 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.804646 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.795157 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788827 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777057 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772355 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764735 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764527 [19] validation_0-merror:0.35 validation_0-mlogloss:0.761655 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.761549 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.760777 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765556 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766984 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.768497 [25] validation_0-merror:0.35 validation_0-mlogloss:0.767703 [26] validation_0-merror:0.35 validation_0-mlogloss:0.765637 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.760777 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01464 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.979554 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955579 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924339 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908388 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888169 [7] validation_0-merror:0.35 validation_0-mlogloss:0.875165 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.855221 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84247 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829409 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820935 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808093 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799335 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790564 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791132 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782587 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.779509 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773032 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.770536 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773855 [21] validation_0-merror:0.3 validation_0-mlogloss:0.774706 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.774804 [23] validation_0-merror:0.3 validation_0-mlogloss:0.768464 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766976 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.772914 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.77046 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.772931 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.772675 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.772631 Stopping. Best iteration: [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766976 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04253 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00666 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977185 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947605 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928898 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899647 [6] validation_0-merror:0.35 validation_0-mlogloss:0.877195 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.854368 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839295 [9] validation_0-merror:0.35 validation_0-mlogloss:0.825631 [10] validation_0-merror:0.35 validation_0-mlogloss:0.813089 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803375 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.792448 [13] validation_0-merror:0.3 validation_0-mlogloss:0.778206 [14] validation_0-merror:0.3 validation_0-mlogloss:0.770818 [15] validation_0-merror:0.3 validation_0-mlogloss:0.761167 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75254 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.747703 [18] validation_0-merror:0.3 validation_0-mlogloss:0.744853 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741575 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740094 [21] validation_0-merror:0.3 validation_0-mlogloss:0.7393 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731634 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727341 [25] validation_0-merror:0.3 validation_0-mlogloss:0.726735 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.720074 [27] validation_0-merror:0.3 validation_0-mlogloss:0.723256 [28] validation_0-merror:0.3 validation_0-mlogloss:0.724291 [29] validation_0-merror:0.3 validation_0-mlogloss:0.722496 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.719114 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715437 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711114 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710704 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.710563 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.71231 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.709201 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.708847 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.710156 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.71039 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.715572 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.715688 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.717265 Stopping. Best iteration: [37] validation_0-merror:0.283333 validation_0-mlogloss:0.708847 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00642 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98092 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.950135 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920489 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889873 [6] validation_0-merror:0.3 validation_0-mlogloss:0.868578 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.851643 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.830191 [9] validation_0-merror:0.3 validation_0-mlogloss:0.818185 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.808403 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806815 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799803 [13] validation_0-merror:0.35 validation_0-mlogloss:0.793639 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788801 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781828 [16] validation_0-merror:0.35 validation_0-mlogloss:0.782921 [17] validation_0-merror:0.35 validation_0-mlogloss:0.784468 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783248 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776852 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76972 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768151 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763113 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.764443 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766258 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.763895 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.76523 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.766206 Stopping. Best iteration: [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763113 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04909 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01017 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984592 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962646 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93375 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914347 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896426 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886121 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.868305 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.856651 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849287 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842271 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827555 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817943 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.808189 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80434 [16] validation_0-merror:0.35 validation_0-mlogloss:0.800087 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793769 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787152 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783398 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.782277 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783932 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.781397 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.780619 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.77904 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.782175 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.780383 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.784693 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784701 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.780752 Stopping. Best iteration: [24] validation_0-merror:0.316667 validation_0-mlogloss:0.77904 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05008 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01032 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975211 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942256 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.914651 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.887963 [6] validation_0-merror:0.3 validation_0-mlogloss:0.866584 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.84479 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.830959 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.823732 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.812377 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.792417 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.782814 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.77234 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.766449 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.757856 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.75013 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.746997 [18] validation_0-merror:0.25 validation_0-mlogloss:0.741856 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.736522 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.731912 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.72664 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.725694 [23] validation_0-merror:0.25 validation_0-mlogloss:0.720891 [24] validation_0-merror:0.25 validation_0-mlogloss:0.718539 [25] validation_0-merror:0.25 validation_0-mlogloss:0.717525 [26] validation_0-merror:0.25 validation_0-mlogloss:0.716582 [27] validation_0-merror:0.25 validation_0-mlogloss:0.714585 [28] validation_0-merror:0.25 validation_0-mlogloss:0.717435 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.715383 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.709775 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.712346 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.711704 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.714344 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.71226 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.71181 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.709775 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05822 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02296 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987245 [3] validation_0-merror:0.35 validation_0-mlogloss:0.962878 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933829 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905478 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887471 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869874 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.853104 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844256 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831649 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823607 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812638 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.803461 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802207 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.797192 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.793077 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.799067 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.801438 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.805788 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.804837 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.807032 Stopping. Best iteration: [17] validation_0-merror:0.316667 validation_0-mlogloss:0.793077 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06096 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01964 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.981046 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954065 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928935 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901184 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878974 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854995 [9] validation_0-merror:0.35 validation_0-mlogloss:0.844416 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834907 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831299 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825969 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823813 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817778 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.813481 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.80683 [17] validation_0-merror:0.35 validation_0-mlogloss:0.80148 [18] validation_0-merror:0.35 validation_0-mlogloss:0.802466 [19] validation_0-merror:0.35 validation_0-mlogloss:0.805791 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.806767 [21] validation_0-merror:0.35 validation_0-mlogloss:0.807689 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.808325 Stopping. Best iteration: [17] validation_0-merror:0.35 validation_0-mlogloss:0.80148 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0143 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.983791 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.951352 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.928522 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.904027 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.88693 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863628 [8] validation_0-merror:0.3 validation_0-mlogloss:0.844563 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.833917 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826402 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812908 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802381 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788958 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.775804 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768138 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.760124 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75152 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748836 [19] validation_0-merror:0.3 validation_0-mlogloss:0.747604 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738003 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.73255 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.724484 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.716072 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.708601 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705034 [26] validation_0-merror:0.3 validation_0-mlogloss:0.69767 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699668 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699599 [29] validation_0-merror:0.3 validation_0-mlogloss:0.691967 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687789 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684175 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684884 [33] validation_0-merror:0.3 validation_0-mlogloss:0.685226 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684637 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.686563 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687422 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.684175 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02531 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987039 [3] validation_0-merror:0.35 validation_0-mlogloss:0.961723 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928946 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905616 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885403 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870508 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850366 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834392 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820156 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807496 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.799505 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.792455 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.789361 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.782009 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.77868 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773148 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.771402 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76922 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.767417 [21] validation_0-merror:0.35 validation_0-mlogloss:0.765415 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767394 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769242 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.768871 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.766224 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766891 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.765415 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0539 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.0102 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.975474 [3] validation_0-merror:0.25 validation_0-mlogloss:0.960256 [4] validation_0-merror:0.25 validation_0-mlogloss:0.9321 [5] validation_0-merror:0.3 validation_0-mlogloss:0.915733 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896569 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885878 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86388 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853825 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.840009 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829609 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817646 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792204 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795588 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785349 [17] validation_0-merror:0.3 validation_0-mlogloss:0.773868 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767539 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762268 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758458 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757116 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.75515 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748404 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743299 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.748061 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748094 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74709 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.743126 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.743553 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74256 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.7412 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.737093 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.740407 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.741358 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.748638 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74713 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.743972 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.737093 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01025 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978832 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.946472 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927547 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903764 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885482 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862821 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846171 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827891 [10] validation_0-merror:0.35 validation_0-mlogloss:0.814216 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802217 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.792288 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.781301 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.771406 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.762017 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.752472 [17] validation_0-merror:0.3 validation_0-mlogloss:0.744164 [18] validation_0-merror:0.3 validation_0-mlogloss:0.741 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741749 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737862 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731312 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.724241 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.721011 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.714146 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.712435 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.706068 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710007 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.710047 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709649 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703151 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.700344 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.698244 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699213 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697904 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695956 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.694694 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692321 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.692649 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688534 [40] validation_0-merror:0.3 validation_0-mlogloss:0.691504 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688494 [42] validation_0-merror:0.3 validation_0-mlogloss:0.688763 [43] validation_0-merror:0.3 validation_0-mlogloss:0.688378 [44] validation_0-merror:0.3 validation_0-mlogloss:0.686656 [45] validation_0-merror:0.3 validation_0-mlogloss:0.68758 [46] validation_0-merror:0.3 validation_0-mlogloss:0.686861 [47] validation_0-merror:0.3 validation_0-mlogloss:0.683517 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682242 [49] validation_0-merror:0.3 validation_0-mlogloss:0.683727 [50] validation_0-merror:0.3 validation_0-mlogloss:0.684685 [51] validation_0-merror:0.3 validation_0-mlogloss:0.688278 [52] validation_0-merror:0.3 validation_0-mlogloss:0.686102 [53] validation_0-merror:0.3 validation_0-mlogloss:0.689516 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.682242 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00883 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982673 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951023 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920069 [5] validation_0-merror:0.35 validation_0-mlogloss:0.89648 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.878992 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862008 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842644 [9] validation_0-merror:0.35 validation_0-mlogloss:0.826656 [10] validation_0-merror:0.35 validation_0-mlogloss:0.818682 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813456 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.806424 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.799877 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795942 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.78896 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787716 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.785603 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781993 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776202 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771187 [21] validation_0-merror:0.35 validation_0-mlogloss:0.772584 [22] validation_0-merror:0.35 validation_0-mlogloss:0.768525 [23] validation_0-merror:0.35 validation_0-mlogloss:0.770072 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775367 [25] validation_0-merror:0.35 validation_0-mlogloss:0.774252 [26] validation_0-merror:0.35 validation_0-mlogloss:0.77377 [27] validation_0-merror:0.35 validation_0-mlogloss:0.776792 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.768525 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01213 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983068 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965857 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932002 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910413 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893966 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878909 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862466 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852981 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846612 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835595 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822979 [13] validation_0-merror:0.3 validation_0-mlogloss:0.814239 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803996 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.805945 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.798717 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785209 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785451 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78245 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.780448 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.782933 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.781156 [23] validation_0-merror:0.3 validation_0-mlogloss:0.780151 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.77826 [25] validation_0-merror:0.3 validation_0-mlogloss:0.780341 [26] validation_0-merror:0.3 validation_0-mlogloss:0.778795 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.777012 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769723 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.770673 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.7723 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773646 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770432 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.775151 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769723 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01487 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.9759 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948841 [4] validation_0-merror:0.3 validation_0-mlogloss:0.918652 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.895757 [6] validation_0-merror:0.3 validation_0-mlogloss:0.876043 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859667 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.844285 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837048 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825584 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811361 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799912 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791167 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782213 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773195 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765058 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759991 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758368 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75538 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750671 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747176 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748231 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742696 [24] validation_0-merror:0.3 validation_0-mlogloss:0.741391 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739109 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73715 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735368 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.734723 [29] validation_0-merror:0.3 validation_0-mlogloss:0.731443 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.731933 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.732754 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.73286 [33] validation_0-merror:0.3 validation_0-mlogloss:0.733284 [34] validation_0-merror:0.3 validation_0-mlogloss:0.731747 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.731443 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.018 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98199 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957812 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926232 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902773 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882169 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86483 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849448 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837214 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823973 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812791 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802634 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798652 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79083 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783699 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783131 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778912 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.781233 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.777746 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778363 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778457 [22] validation_0-merror:0.3 validation_0-mlogloss:0.774416 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7737 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773554 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.776237 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778438 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.784836 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.783242 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.786798 Stopping. Best iteration: [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773554 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05676 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02229 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983601 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.953458 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922151 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.897783 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.874651 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861708 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848241 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840027 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830173 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8195 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80549 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802011 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792683 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.785956 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773772 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767435 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765407 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760916 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.7627 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.7603 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.757995 [23] validation_0-merror:0.3 validation_0-mlogloss:0.753642 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.748967 [25] validation_0-merror:0.3 validation_0-mlogloss:0.747721 [26] validation_0-merror:0.3 validation_0-mlogloss:0.74756 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747695 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.746816 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748821 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.75028 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.752889 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.75511 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.755123 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.746816 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989029 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958247 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935586 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909352 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892387 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872465 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857087 [9] validation_0-merror:0.35 validation_0-mlogloss:0.84458 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837498 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825716 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813962 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.80956 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.794899 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784296 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773728 [17] validation_0-merror:0.3 validation_0-mlogloss:0.766043 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.764197 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760101 [20] validation_0-merror:0.3 validation_0-mlogloss:0.751258 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747773 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742223 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729004 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.722664 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723168 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.720331 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721558 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.722407 [29] validation_0-merror:0.3 validation_0-mlogloss:0.715742 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.712116 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.707981 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.706259 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.70413 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705727 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.707553 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.706617 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.70482 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.705895 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.70413 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98671 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962044 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933128 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910284 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887263 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.866841 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848512 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830017 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814665 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805357 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80009 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.79152 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.786248 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.778354 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.775501 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775485 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773218 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767077 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761614 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761595 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762062 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761613 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759334 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759239 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.755094 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756246 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759777 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.759859 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.758646 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.755206 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.755094 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0188 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985376 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966249 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939198 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917146 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898598 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.88545 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865668 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.85199 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833066 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825041 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.808944 [13] validation_0-merror:0.3 validation_0-mlogloss:0.795544 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782646 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785557 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775437 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765261 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759887 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.7525 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745034 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743237 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.739878 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733925 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731013 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733633 [26] validation_0-merror:0.3 validation_0-mlogloss:0.734176 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730516 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726332 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.723158 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719949 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716685 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713488 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.717227 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.717142 [35] validation_0-merror:0.3 validation_0-mlogloss:0.723773 [36] validation_0-merror:0.3 validation_0-mlogloss:0.724365 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.721107 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713488 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.0117 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985686 [3] validation_0-merror:0.3 validation_0-mlogloss:0.950275 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930285 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.906281 [6] validation_0-merror:0.3 validation_0-mlogloss:0.888361 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.866383 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847992 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834391 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82161 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808994 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798211 [13] validation_0-merror:0.3 validation_0-mlogloss:0.790219 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.781471 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770838 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.759306 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752454 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748894 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.750087 [20] validation_0-merror:0.35 validation_0-mlogloss:0.742453 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.742033 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.735767 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731383 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728372 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7234 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716945 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719903 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718684 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.718711 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714599 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.70908 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.705662 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704338 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703414 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700184 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69817 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.698305 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700211 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699241 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.701911 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.70163 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69817 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00504 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.976018 [3] validation_0-merror:0.35 validation_0-mlogloss:0.947273 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917054 [5] validation_0-merror:0.35 validation_0-mlogloss:0.890916 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.874484 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855954 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.834431 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820919 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.81279 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806927 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794708 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788903 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786614 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777616 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776865 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775363 [18] validation_0-merror:0.35 validation_0-mlogloss:0.77418 [19] validation_0-merror:0.35 validation_0-mlogloss:0.770003 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758823 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758457 [22] validation_0-merror:0.35 validation_0-mlogloss:0.755624 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756444 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758623 [25] validation_0-merror:0.35 validation_0-mlogloss:0.759262 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755131 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752667 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749426 [29] validation_0-merror:0.35 validation_0-mlogloss:0.747173 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749605 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755198 [32] validation_0-merror:0.35 validation_0-mlogloss:0.753408 [33] validation_0-merror:0.35 validation_0-mlogloss:0.755612 [34] validation_0-merror:0.35 validation_0-mlogloss:0.757861 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.747173 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01232 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984945 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958872 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.937357 [5] validation_0-merror:0.3 validation_0-mlogloss:0.913216 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.892686 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.877905 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.856041 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.844679 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.8352 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.824769 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.810897 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.800369 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.789076 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.787375 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.783819 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.779851 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.778641 [19] validation_0-merror:0.3 validation_0-mlogloss:0.773188 [20] validation_0-merror:0.3 validation_0-mlogloss:0.769091 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.769722 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763289 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.760587 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.754798 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754855 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751134 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749539 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.746154 [29] validation_0-merror:0.3 validation_0-mlogloss:0.742884 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74162 [31] validation_0-merror:0.3 validation_0-mlogloss:0.739134 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.738353 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7408 [34] validation_0-merror:0.3 validation_0-mlogloss:0.737852 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.744546 [36] validation_0-merror:0.3 validation_0-mlogloss:0.744591 [37] validation_0-merror:0.3 validation_0-mlogloss:0.744532 [38] validation_0-merror:0.3 validation_0-mlogloss:0.744888 [39] validation_0-merror:0.3 validation_0-mlogloss:0.746234 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.737852 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01363 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975992 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945101 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919093 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.892248 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870076 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.852837 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.835767 [9] validation_0-merror:0.35 validation_0-mlogloss:0.827862 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813774 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.796374 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.785581 [13] validation_0-merror:0.3 validation_0-mlogloss:0.773061 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.765274 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.75795 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.750162 [17] validation_0-merror:0.3 validation_0-mlogloss:0.74417 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.735483 [19] validation_0-merror:0.3 validation_0-mlogloss:0.728503 [20] validation_0-merror:0.3 validation_0-mlogloss:0.721407 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.71719 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.717702 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.713182 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708559 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.704934 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699934 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.697828 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.695735 [29] validation_0-merror:0.25 validation_0-mlogloss:0.691963 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.689881 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.688704 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686997 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.68677 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.687093 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.688147 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.689484 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.688719 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688298 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.68677 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.054 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01818 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979973 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953468 [4] validation_0-merror:0.35 validation_0-mlogloss:0.928314 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903275 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880604 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.860993 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849102 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837617 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823387 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808988 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799266 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.7871 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786156 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777656 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77612 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776107 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772676 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769339 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765378 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763269 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762067 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.762187 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761108 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762036 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763783 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.76655 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.765345 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.769849 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761108 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02871 [2] validation_0-merror:0.4 validation_0-mlogloss:0.993858 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967573 [4] validation_0-merror:0.4 validation_0-mlogloss:0.94262 [5] validation_0-merror:0.4 validation_0-mlogloss:0.916744 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895255 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.87494 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852593 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848758 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83415 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.818939 [12] validation_0-merror:0.25 validation_0-mlogloss:0.804813 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.798075 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782121 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.775437 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.770158 [17] validation_0-merror:0.25 validation_0-mlogloss:0.766974 [18] validation_0-merror:0.25 validation_0-mlogloss:0.762405 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761022 [20] validation_0-merror:0.25 validation_0-mlogloss:0.760007 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.760098 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.760748 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.756822 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.753689 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.752559 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.75177 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.753371 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.751886 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.750391 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.75347 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.753791 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.753646 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.751368 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.752712 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.750391 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971498 [4] validation_0-merror:0.4 validation_0-mlogloss:0.949281 [5] validation_0-merror:0.4 validation_0-mlogloss:0.923806 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.904884 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888021 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.872253 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852631 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842276 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827972 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.816661 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808923 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797424 [15] validation_0-merror:0.35 validation_0-mlogloss:0.789725 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78086 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772325 [18] validation_0-merror:0.35 validation_0-mlogloss:0.766612 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763381 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754406 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747512 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742616 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740352 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734098 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.736047 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733926 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732742 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.733495 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727184 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725439 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72294 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722267 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719151 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720992 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.725664 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.72654 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.724914 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.723884 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719151 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986762 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.963383 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927977 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906811 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885457 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867348 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848902 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829646 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813848 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802564 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795235 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786859 [14] validation_0-merror:0.35 validation_0-mlogloss:0.780427 [15] validation_0-merror:0.35 validation_0-mlogloss:0.773568 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769799 [17] validation_0-merror:0.35 validation_0-mlogloss:0.759872 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.760517 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.755856 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.751435 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.74533 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.746771 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.749367 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.752733 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.750882 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747512 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.74533 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940423 [5] validation_0-merror:0.35 validation_0-mlogloss:0.920704 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.90252 [7] validation_0-merror:0.3 validation_0-mlogloss:0.887261 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869395 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.860518 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843894 [11] validation_0-merror:0.35 validation_0-mlogloss:0.833448 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818251 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803316 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792835 [15] validation_0-merror:0.35 validation_0-mlogloss:0.795061 [16] validation_0-merror:0.35 validation_0-mlogloss:0.787353 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777947 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772566 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767163 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.761684 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75619 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754412 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74797 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746189 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746941 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748287 [27] validation_0-merror:0.35 validation_0-mlogloss:0.745478 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744756 [29] validation_0-merror:0.35 validation_0-mlogloss:0.738055 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734316 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.728894 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726702 [33] validation_0-merror:0.35 validation_0-mlogloss:0.729951 [34] validation_0-merror:0.35 validation_0-mlogloss:0.731661 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.734161 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.733081 [37] validation_0-merror:0.35 validation_0-mlogloss:0.730123 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726702 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01553 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989895 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953361 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930545 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904305 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882499 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866631 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854143 [9] validation_0-merror:0.3 validation_0-mlogloss:0.838022 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.825661 [11] validation_0-merror:0.3 validation_0-mlogloss:0.814231 [12] validation_0-merror:0.3 validation_0-mlogloss:0.802127 [13] validation_0-merror:0.3 validation_0-mlogloss:0.793323 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784832 [15] validation_0-merror:0.3 validation_0-mlogloss:0.776666 [16] validation_0-merror:0.3 validation_0-mlogloss:0.770652 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763978 [18] validation_0-merror:0.3 validation_0-mlogloss:0.762041 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758195 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75245 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747486 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741642 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738161 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733798 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.729705 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.72507 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728006 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727557 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726627 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723702 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.719146 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714994 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712011 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.710503 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.707224 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.703845 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700894 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702075 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.693579 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695125 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691421 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.690068 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.690497 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.69051 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689064 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690213 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.688283 [48] validation_0-merror:0.3 validation_0-mlogloss:0.687907 [49] validation_0-merror:0.3 validation_0-mlogloss:0.685795 [50] validation_0-merror:0.3 validation_0-mlogloss:0.686889 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.688203 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.683184 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.686612 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.683113 [55] validation_0-merror:0.3 validation_0-mlogloss:0.681817 [56] validation_0-merror:0.3 validation_0-mlogloss:0.683839 [57] validation_0-merror:0.3 validation_0-mlogloss:0.684914 [58] validation_0-merror:0.3 validation_0-mlogloss:0.686818 [59] validation_0-merror:0.3 validation_0-mlogloss:0.687816 [60] validation_0-merror:0.3 validation_0-mlogloss:0.6891 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.681817 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0543 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01086 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982609 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950266 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919199 [5] validation_0-merror:0.3 validation_0-mlogloss:0.89286 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879384 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857868 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839396 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.825033 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.816341 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811198 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799409 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794704 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791917 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781616 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.777263 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.77435 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772155 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.766539 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758338 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758458 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.756739 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759575 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758947 [25] validation_0-merror:0.35 validation_0-mlogloss:0.75847 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755395 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752779 [28] validation_0-merror:0.35 validation_0-mlogloss:0.751078 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752151 [30] validation_0-merror:0.35 validation_0-mlogloss:0.754723 [31] validation_0-merror:0.35 validation_0-mlogloss:0.753516 [32] validation_0-merror:0.35 validation_0-mlogloss:0.754304 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.755289 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.751078 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01623 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.986024 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958866 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.937967 [5] validation_0-merror:0.3 validation_0-mlogloss:0.912436 [6] validation_0-merror:0.3 validation_0-mlogloss:0.89392 [7] validation_0-merror:0.3 validation_0-mlogloss:0.880374 [8] validation_0-merror:0.25 validation_0-mlogloss:0.860424 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.848027 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.835132 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.822265 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.810954 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.800839 [14] validation_0-merror:0.3 validation_0-mlogloss:0.790555 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78593 [16] validation_0-merror:0.3 validation_0-mlogloss:0.7814 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775142 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.774941 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.767754 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.761294 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760856 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.756336 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.750839 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.749913 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.750296 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.743567 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.740985 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.736964 [29] validation_0-merror:0.3 validation_0-mlogloss:0.737771 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739807 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.735894 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.733981 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.738053 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.735219 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.741312 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.737515 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.736085 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.733981 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05828 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02044 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98589 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954319 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930195 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907974 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.889959 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871016 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852886 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.841817 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830121 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81105 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796115 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.783662 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.774334 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767439 [16] validation_0-merror:0.3 validation_0-mlogloss:0.758762 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75563 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751251 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.744567 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.739165 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.734696 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731799 [23] validation_0-merror:0.3 validation_0-mlogloss:0.728319 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724234 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.720331 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.716525 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715725 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713115 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710183 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708873 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.709772 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.709862 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.709429 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712244 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.712114 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.708873 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01518 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978093 [3] validation_0-merror:0.4 validation_0-mlogloss:0.95441 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930047 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.906468 [6] validation_0-merror:0.4 validation_0-mlogloss:0.890185 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.87837 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.867499 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.859216 [10] validation_0-merror:0.4 validation_0-mlogloss:0.844003 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.830101 [12] validation_0-merror:0.4 validation_0-mlogloss:0.821255 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814411 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809203 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802758 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799871 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797132 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.79806 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.797571 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.794637 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.791209 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.792122 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.791883 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.78526 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.785422 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.78341 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.783428 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.783776 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.784527 [30] validation_0-merror:0.4 validation_0-mlogloss:0.788759 [31] validation_0-merror:0.4 validation_0-mlogloss:0.792138 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.78341 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985948 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960556 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.930456 [5] validation_0-merror:0.3 validation_0-mlogloss:0.911208 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891326 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874821 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857014 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.850705 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837613 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829544 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.820578 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.81637 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.800618 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.801236 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.794062 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.786399 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.787843 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.785611 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.781939 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.778748 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.774751 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.766103 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.760291 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.754824 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.752523 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.751023 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746927 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.747498 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.749423 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.749481 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.748775 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.747022 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746927 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971807 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950962 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930523 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911932 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.894746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875178 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860044 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850288 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838409 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825625 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814433 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80482 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795725 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784448 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775635 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772128 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769718 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760339 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755377 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751216 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746863 [24] validation_0-merror:0.3 validation_0-mlogloss:0.74005 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738415 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736239 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735295 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730039 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725746 [30] validation_0-merror:0.3 validation_0-mlogloss:0.723548 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719634 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.716801 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714084 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714653 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716872 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716147 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714852 [38] validation_0-merror:0.3 validation_0-mlogloss:0.717843 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.714084 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06076 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02616 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988914 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962209 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930219 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907992 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885947 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864857 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845497 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828928 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812438 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802974 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794574 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786758 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.784631 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777354 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773521 [17] validation_0-merror:0.35 validation_0-mlogloss:0.764295 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763076 [19] validation_0-merror:0.35 validation_0-mlogloss:0.75817 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752001 [21] validation_0-merror:0.35 validation_0-mlogloss:0.746087 [22] validation_0-merror:0.35 validation_0-mlogloss:0.74636 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.747311 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.748003 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.745909 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.744924 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.743445 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.739245 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.737316 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.73762 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.736669 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.736479 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.736478 [34] validation_0-merror:0.4 validation_0-mlogloss:0.738703 [35] validation_0-merror:0.4 validation_0-mlogloss:0.740753 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.740929 [37] validation_0-merror:0.4 validation_0-mlogloss:0.744142 [38] validation_0-merror:0.4 validation_0-mlogloss:0.741494 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.736478 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06357 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989965 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971004 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949519 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926779 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903824 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88626 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866234 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85117 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832062 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822113 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810819 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797673 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786908 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787213 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779237 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769714 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762912 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759029 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756431 [21] validation_0-merror:0.35 validation_0-mlogloss:0.748605 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748792 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741189 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.73981 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74266 [26] validation_0-merror:0.35 validation_0-mlogloss:0.7417 [27] validation_0-merror:0.35 validation_0-mlogloss:0.737799 [28] validation_0-merror:0.35 validation_0-mlogloss:0.735166 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.731808 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.728693 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.726215 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.723747 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.725464 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721566 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727788 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728734 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727472 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.726707 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.727739 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721566 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02144 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991776 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956545 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932469 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907222 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890108 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873721 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857435 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839774 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828504 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.814436 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803286 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796906 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786609 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.776944 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770115 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761232 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759483 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756284 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751766 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746936 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737301 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735553 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731558 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.725099 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722399 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.725376 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727839 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72535 [30] validation_0-merror:0.3 validation_0-mlogloss:0.72148 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716107 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.710467 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.708932 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707389 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702815 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.700039 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.698655 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.700236 [39] validation_0-merror:0.3 validation_0-mlogloss:0.695205 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.696346 [41] validation_0-merror:0.3 validation_0-mlogloss:0.690966 [42] validation_0-merror:0.3 validation_0-mlogloss:0.690451 [43] validation_0-merror:0.3 validation_0-mlogloss:0.690024 [44] validation_0-merror:0.3 validation_0-mlogloss:0.689324 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689565 [46] validation_0-merror:0.3 validation_0-mlogloss:0.689987 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689256 [48] validation_0-merror:0.3 validation_0-mlogloss:0.685818 [49] validation_0-merror:0.3 validation_0-mlogloss:0.68549 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68548 [51] validation_0-merror:0.3 validation_0-mlogloss:0.686044 [52] validation_0-merror:0.3 validation_0-mlogloss:0.685187 [53] validation_0-merror:0.3 validation_0-mlogloss:0.687143 [54] validation_0-merror:0.3 validation_0-mlogloss:0.685531 [55] validation_0-merror:0.3 validation_0-mlogloss:0.684518 [56] validation_0-merror:0.3 validation_0-mlogloss:0.687765 [57] validation_0-merror:0.3 validation_0-mlogloss:0.688246 [58] validation_0-merror:0.3 validation_0-mlogloss:0.691054 [59] validation_0-merror:0.3 validation_0-mlogloss:0.690959 [60] validation_0-merror:0.3 validation_0-mlogloss:0.688975 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.684518 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01813 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988302 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957085 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928006 [5] validation_0-merror:0.3 validation_0-mlogloss:0.907865 [6] validation_0-merror:0.3 validation_0-mlogloss:0.892476 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870296 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851932 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83495 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822321 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813969 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801821 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797143 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793943 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786792 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78351 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.780661 [18] validation_0-merror:0.4 validation_0-mlogloss:0.776094 [19] validation_0-merror:0.4 validation_0-mlogloss:0.771478 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.761935 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758358 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75333 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754311 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75495 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.755443 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.752227 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750054 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749707 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.751143 [30] validation_0-merror:0.4 validation_0-mlogloss:0.753127 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.750951 [32] validation_0-merror:0.4 validation_0-mlogloss:0.750988 [33] validation_0-merror:0.4 validation_0-mlogloss:0.750504 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.749707 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02208 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995979 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971999 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.950715 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.930325 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.91086 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.897951 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.877892 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.865933 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.854622 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.841962 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.830237 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.820719 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.811068 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803712 [16] validation_0-merror:0.3 validation_0-mlogloss:0.797468 [17] validation_0-merror:0.3 validation_0-mlogloss:0.788038 [18] validation_0-merror:0.3 validation_0-mlogloss:0.785033 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782049 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773342 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772647 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768894 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.761741 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.760603 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.761556 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757748 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755161 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749224 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751452 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.75302 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746924 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744852 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.747027 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742652 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.747409 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74349 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742286 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.742041 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.744254 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.740327 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.739141 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.737305 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.737106 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.743203 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.74058 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.740683 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.740143 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.740277 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.737106 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02074 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986588 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956589 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929572 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906181 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887641 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.870691 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853173 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.841192 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83032 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812724 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799266 [13] validation_0-merror:0.3 validation_0-mlogloss:0.786443 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.777422 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768216 [16] validation_0-merror:0.3 validation_0-mlogloss:0.759947 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.751255 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.746375 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.739874 [20] validation_0-merror:0.3 validation_0-mlogloss:0.732031 [21] validation_0-merror:0.3 validation_0-mlogloss:0.728063 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722645 [23] validation_0-merror:0.3 validation_0-mlogloss:0.718273 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714599 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709195 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707729 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706343 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704434 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703058 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.702133 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.697973 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694864 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.692852 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.6952 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695877 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695762 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696409 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.698767 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.692852 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952065 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925596 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900962 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.882212 [7] validation_0-merror:0.4 validation_0-mlogloss:0.864457 [8] validation_0-merror:0.4 validation_0-mlogloss:0.852105 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.841095 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827382 [11] validation_0-merror:0.4 validation_0-mlogloss:0.816307 [12] validation_0-merror:0.4 validation_0-mlogloss:0.811829 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.805977 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.799515 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.792785 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791596 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.788634 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78505 [19] validation_0-merror:0.4 validation_0-mlogloss:0.783196 [20] validation_0-merror:0.4 validation_0-mlogloss:0.782107 [21] validation_0-merror:0.4 validation_0-mlogloss:0.779836 [22] validation_0-merror:0.4 validation_0-mlogloss:0.779341 [23] validation_0-merror:0.4 validation_0-mlogloss:0.777558 [24] validation_0-merror:0.4 validation_0-mlogloss:0.775188 [25] validation_0-merror:0.4 validation_0-mlogloss:0.774925 [26] validation_0-merror:0.4 validation_0-mlogloss:0.775775 [27] validation_0-merror:0.4 validation_0-mlogloss:0.778248 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.778399 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.778145 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.777117 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.774925 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02603 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990491 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958929 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928603 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907252 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.884248 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868184 [8] validation_0-merror:0.3 validation_0-mlogloss:0.849983 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840095 [10] validation_0-merror:0.3 validation_0-mlogloss:0.831483 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82229 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81372 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805907 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791333 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788457 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.781146 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.772821 [18] validation_0-merror:0.3 validation_0-mlogloss:0.771372 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765065 [20] validation_0-merror:0.3 validation_0-mlogloss:0.764274 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764735 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760001 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751115 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.740521 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.739295 [26] validation_0-merror:0.3 validation_0-mlogloss:0.739349 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.736432 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.734237 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732704 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.732814 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734342 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.732388 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.728547 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.730057 [35] validation_0-merror:0.3 validation_0-mlogloss:0.730667 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.73043 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.729295 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.728844 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.728547 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02496 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998763 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965218 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944513 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920399 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902392 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886736 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866358 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.853756 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842685 [11] validation_0-merror:0.3 validation_0-mlogloss:0.827903 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81593 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808396 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796246 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782576 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775284 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76471 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759221 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754103 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748132 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742378 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7344 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727535 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718836 [25] validation_0-merror:0.3 validation_0-mlogloss:0.712547 [26] validation_0-merror:0.3 validation_0-mlogloss:0.705758 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703659 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.700372 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.692231 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.689196 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.684654 [32] validation_0-merror:0.25 validation_0-mlogloss:0.67862 [33] validation_0-merror:0.25 validation_0-mlogloss:0.677722 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.677519 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.678132 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.677912 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.672455 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.672114 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.670081 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.665611 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.665366 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.660416 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.65918 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660125 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.658952 [46] validation_0-merror:0.25 validation_0-mlogloss:0.660561 [47] validation_0-merror:0.25 validation_0-mlogloss:0.656657 [48] validation_0-merror:0.25 validation_0-mlogloss:0.655061 [49] validation_0-merror:0.25 validation_0-mlogloss:0.659275 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656778 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.660997 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.66094 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.662635 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.655061 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960764 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912794 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892119 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.874686 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.857947 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840138 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826236 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813742 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798427 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79209 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786674 [15] validation_0-merror:0.35 validation_0-mlogloss:0.777744 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773828 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767502 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765677 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762266 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759534 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754247 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.755064 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.752659 [24] validation_0-merror:0.35 validation_0-mlogloss:0.754987 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750184 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743576 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.738707 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733708 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.7352 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736537 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734501 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734041 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.729522 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731821 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.732565 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.726118 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.727891 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.727164 [39] validation_0-merror:0.35 validation_0-mlogloss:0.724308 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.723352 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.71962 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717712 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.713423 [44] validation_0-merror:0.35 validation_0-mlogloss:0.715754 [45] validation_0-merror:0.35 validation_0-mlogloss:0.716874 [46] validation_0-merror:0.35 validation_0-mlogloss:0.721913 [47] validation_0-merror:0.35 validation_0-mlogloss:0.721222 [48] validation_0-merror:0.35 validation_0-mlogloss:0.722006 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.713423 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06252 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02418 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.99082 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967469 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.941718 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918748 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.897573 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.881387 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865068 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851701 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833665 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822846 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811972 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794606 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786107 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783188 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774461 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768584 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757967 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751017 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748433 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741655 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.737312 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728245 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726733 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724579 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.722103 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720502 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716098 [29] validation_0-merror:0.3 validation_0-mlogloss:0.710065 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703554 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697754 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692518 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.694948 [34] validation_0-merror:0.3 validation_0-mlogloss:0.692315 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692136 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683844 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.679018 [38] validation_0-merror:0.3 validation_0-mlogloss:0.677722 [39] validation_0-merror:0.3 validation_0-mlogloss:0.676371 [40] validation_0-merror:0.3 validation_0-mlogloss:0.67689 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672556 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672299 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66748 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.663753 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.663486 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66498 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662787 [48] validation_0-merror:0.3 validation_0-mlogloss:0.662107 [49] validation_0-merror:0.3 validation_0-mlogloss:0.661749 [50] validation_0-merror:0.3 validation_0-mlogloss:0.659612 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.659503 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.655341 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.655331 [54] validation_0-merror:0.3 validation_0-mlogloss:0.659788 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.657597 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.654624 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.654059 [58] validation_0-merror:0.3 validation_0-mlogloss:0.652463 [59] validation_0-merror:0.3 validation_0-mlogloss:0.652913 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.651085 [61] validation_0-merror:0.3 validation_0-mlogloss:0.656834 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.657715 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.658008 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.65859 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.656515 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.651085 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961435 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940231 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918891 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899607 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879108 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862226 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846767 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834201 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820309 [12] validation_0-merror:0.35 validation_0-mlogloss:0.808977 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801437 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788053 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765651 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756835 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752274 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749395 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743496 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737617 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729695 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72454 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703669 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702768 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703149 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.700639 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694135 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689013 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681853 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680485 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.677473 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.674325 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673529 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.675103 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.674657 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671895 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669029 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.665934 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664817 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665063 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.66105 [45] validation_0-merror:0.3 validation_0-mlogloss:0.659649 [46] validation_0-merror:0.3 validation_0-mlogloss:0.657744 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.655002 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.652053 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.652019 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.651153 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.653558 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650622 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.653888 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.653857 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.653319 [56] validation_0-merror:0.25 validation_0-mlogloss:0.656879 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.655391 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.650622 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02122 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994395 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963677 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939323 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916178 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899888 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883509 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868711 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856286 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846999 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840148 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82791 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820093 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812156 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802739 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797042 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792494 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785051 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776768 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768368 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762884 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759002 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756598 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75651 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751069 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742635 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739842 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737464 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73368 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730713 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731795 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726935 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.721763 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.720643 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.720432 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717595 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717628 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.717391 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.721183 [40] validation_0-merror:0.35 validation_0-mlogloss:0.720128 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.721761 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.719117 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718265 Stopping. Best iteration: [38] validation_0-merror:0.316667 validation_0-mlogloss:0.717391 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06162 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995502 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968754 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.94702 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924702 [6] validation_0-merror:0.3 validation_0-mlogloss:0.902362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885106 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867463 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856766 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846775 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834811 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823605 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815476 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805527 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800097 [16] validation_0-merror:0.3 validation_0-mlogloss:0.796132 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.789376 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.780517 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.777982 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.769469 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760247 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752599 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.742873 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.735599 [25] validation_0-merror:0.3 validation_0-mlogloss:0.730575 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723093 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71966 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713238 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.708049 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703093 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.701449 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694876 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694468 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690715 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.6878 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.682389 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.679478 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678535 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676874 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673487 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.673715 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.67261 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.67107 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.66963 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.669819 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.667085 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.66634 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.664238 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.667103 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.665484 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.665376 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.66449 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.666006 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.664238 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02021 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986024 [3] validation_0-merror:0.3 validation_0-mlogloss:0.955173 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.931398 [5] validation_0-merror:0.3 validation_0-mlogloss:0.907665 [6] validation_0-merror:0.3 validation_0-mlogloss:0.887346 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.867803 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85115 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838875 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826561 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813539 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800551 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786162 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.775912 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768966 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.762441 [17] validation_0-merror:0.35 validation_0-mlogloss:0.754427 [18] validation_0-merror:0.35 validation_0-mlogloss:0.74777 [19] validation_0-merror:0.35 validation_0-mlogloss:0.739731 [20] validation_0-merror:0.35 validation_0-mlogloss:0.733763 [21] validation_0-merror:0.35 validation_0-mlogloss:0.725486 [22] validation_0-merror:0.35 validation_0-mlogloss:0.724388 [23] validation_0-merror:0.35 validation_0-mlogloss:0.719259 [24] validation_0-merror:0.35 validation_0-mlogloss:0.717584 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.710115 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706508 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.70344 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.700827 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695763 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693499 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.688968 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.685934 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.682519 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.67922 [35] validation_0-merror:0.3 validation_0-mlogloss:0.675142 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.675245 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.672965 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67428 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.672977 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.67082 [41] validation_0-merror:0.25 validation_0-mlogloss:0.671748 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.670029 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.671991 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.670677 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.671397 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.669358 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.673325 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.673491 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.672671 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.672491 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.674673 Stopping. Best iteration: [46] validation_0-merror:0.283333 validation_0-mlogloss:0.669358 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.995518 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970909 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945964 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924741 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90338 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892087 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879878 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.868035 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.858636 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845897 [12] validation_0-merror:0.35 validation_0-mlogloss:0.836876 [13] validation_0-merror:0.35 validation_0-mlogloss:0.828572 [14] validation_0-merror:0.35 validation_0-mlogloss:0.823106 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.81337 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.806314 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.80081 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.795323 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.78797 [20] validation_0-merror:0.4 validation_0-mlogloss:0.781255 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776431 [22] validation_0-merror:0.4 validation_0-mlogloss:0.774454 [23] validation_0-merror:0.4 validation_0-mlogloss:0.770518 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.766142 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762296 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.757865 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.757309 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754465 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.750174 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749958 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74614 [32] validation_0-merror:0.35 validation_0-mlogloss:0.744054 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.74345 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.739963 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.736319 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.73291 [37] validation_0-merror:0.35 validation_0-mlogloss:0.729654 [38] validation_0-merror:0.35 validation_0-mlogloss:0.729462 [39] validation_0-merror:0.35 validation_0-mlogloss:0.728048 [40] validation_0-merror:0.35 validation_0-mlogloss:0.727756 [41] validation_0-merror:0.35 validation_0-mlogloss:0.725334 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.723846 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.722654 [44] validation_0-merror:0.35 validation_0-mlogloss:0.720907 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.723368 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.721617 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.720674 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.71923 [49] validation_0-merror:0.35 validation_0-mlogloss:0.718532 [50] validation_0-merror:0.35 validation_0-mlogloss:0.719837 [51] validation_0-merror:0.35 validation_0-mlogloss:0.719791 [52] validation_0-merror:0.35 validation_0-mlogloss:0.720096 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.722707 [54] validation_0-merror:0.35 validation_0-mlogloss:0.721492 Stopping. Best iteration: [49] validation_0-merror:0.35 validation_0-mlogloss:0.718532 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06798 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03255 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.999221 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974127 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950911 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924384 [6] validation_0-merror:0.35 validation_0-mlogloss:0.90385 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897919 [8] validation_0-merror:0.35 validation_0-mlogloss:0.881387 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.875647 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.868499 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.862132 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.856652 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.848903 [14] validation_0-merror:0.3 validation_0-mlogloss:0.836347 [15] validation_0-merror:0.3 validation_0-mlogloss:0.828325 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.82033 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.808633 [18] validation_0-merror:0.3 validation_0-mlogloss:0.798246 [19] validation_0-merror:0.3 validation_0-mlogloss:0.788938 [20] validation_0-merror:0.3 validation_0-mlogloss:0.783662 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.775687 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.767539 [23] validation_0-merror:0.3 validation_0-mlogloss:0.757548 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751215 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.746775 [26] validation_0-merror:0.3 validation_0-mlogloss:0.740707 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737546 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.735824 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732352 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.731633 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.729537 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.725602 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721911 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.719578 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715407 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712389 [37] validation_0-merror:0.3 validation_0-mlogloss:0.710547 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707795 [39] validation_0-merror:0.3 validation_0-mlogloss:0.70534 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702024 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.701348 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.698884 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695988 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.693976 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693653 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.689472 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.686146 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.684741 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.683301 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.679643 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.677958 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.674849 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.672126 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.67139 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.670509 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.669613 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.669306 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.668616 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.669445 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.668159 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.668721 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.667348 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.666749 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.668536 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.667305 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.667162 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.667257 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.665491 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.665188 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.663763 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.662934 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.661915 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.661759 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.659764 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.658797 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.660383 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.660192 [78] validation_0-merror:0.283333 validation_0-mlogloss:0.66003 [79] validation_0-merror:0.283333 validation_0-mlogloss:0.660297 [80] validation_0-merror:0.283333 validation_0-mlogloss:0.660257 Stopping. Best iteration: [75] validation_0-merror:0.283333 validation_0-mlogloss:0.658797 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02293 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996971 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967088 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946102 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922064 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904718 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885673 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.867661 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853671 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842894 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82902 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817396 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807985 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795051 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78322 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776105 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765036 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.760883 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755999 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748107 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743103 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.736257 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729518 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.721718 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.71548 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.710046 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706172 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703898 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698095 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695054 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690932 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.686568 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.686023 [34] validation_0-merror:0.3 validation_0-mlogloss:0.687655 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687259 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686714 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.680892 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.679132 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.676952 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675519 [41] validation_0-merror:0.3 validation_0-mlogloss:0.675289 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.672247 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.67171 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67311 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.672988 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.673932 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.667757 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.666339 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.670584 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.66785 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.671501 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.671535 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.673062 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.666339 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02238 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987566 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963764 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936836 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914934 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893791 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87582 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858884 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840348 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826694 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.814376 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80081 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793269 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791318 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781854 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777721 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774118 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771978 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76807 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.766579 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761156 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761273 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760404 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76191 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757612 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754327 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750935 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749924 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750266 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751285 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.747328 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.749111 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744723 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.747424 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.751437 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.747378 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.748871 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.744722 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.741364 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.74151 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.741103 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.738345 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735792 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.738251 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.739587 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.743366 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.741325 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.74063 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735792 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06263 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02431 [2] validation_0-merror:0.3 validation_0-mlogloss:0.990912 [3] validation_0-merror:0.3 validation_0-mlogloss:0.96761 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.941817 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.918654 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.896115 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.880172 [8] validation_0-merror:0.3 validation_0-mlogloss:0.863753 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85144 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832652 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821751 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810633 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793167 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.784348 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78127 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772589 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768485 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757622 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750609 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746817 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740165 [22] validation_0-merror:0.3 validation_0-mlogloss:0.735753 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72666 [24] validation_0-merror:0.3 validation_0-mlogloss:0.725137 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723678 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722632 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.721031 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.715366 [29] validation_0-merror:0.35 validation_0-mlogloss:0.718156 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.712436 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.705537 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.700868 [33] validation_0-merror:0.35 validation_0-mlogloss:0.702278 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.6994 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700279 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.691623 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.686496 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.683201 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.683101 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.687767 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.68179 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.682471 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.677414 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67546 [45] validation_0-merror:0.3 validation_0-mlogloss:0.675215 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678885 [47] validation_0-merror:0.3 validation_0-mlogloss:0.675687 [48] validation_0-merror:0.3 validation_0-mlogloss:0.674927 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677069 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.674576 [51] validation_0-merror:0.3 validation_0-mlogloss:0.67332 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668307 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.670749 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675764 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673477 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672228 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.670776 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668307 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05336 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.994915 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940379 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92053 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905109 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884934 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868054 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852718 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840084 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827706 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815005 [13] validation_0-merror:0.35 validation_0-mlogloss:0.806714 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792799 [15] validation_0-merror:0.35 validation_0-mlogloss:0.778826 [16] validation_0-merror:0.35 validation_0-mlogloss:0.770331 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761343 [18] validation_0-merror:0.35 validation_0-mlogloss:0.75631 [19] validation_0-merror:0.35 validation_0-mlogloss:0.752714 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745042 [21] validation_0-merror:0.35 validation_0-mlogloss:0.741805 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.733088 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.727925 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723471 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.713849 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707076 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705457 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.706421 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70447 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.696944 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692926 [32] validation_0-merror:0.3 validation_0-mlogloss:0.68413 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680443 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676528 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.672696 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.669298 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.668924 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.668805 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.665776 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.663472 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.659448 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.659137 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66017 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65658 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.655268 [46] validation_0-merror:0.3 validation_0-mlogloss:0.652996 [47] validation_0-merror:0.3 validation_0-mlogloss:0.649691 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647401 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.647181 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.647457 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.648845 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.646934 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.650422 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.649375 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.649591 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.651272 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.649329 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.646934 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02369 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996135 [3] validation_0-merror:0.4 validation_0-mlogloss:0.965178 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941482 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918292 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901783 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886428 [8] validation_0-merror:0.35 validation_0-mlogloss:0.871279 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858686 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849382 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842647 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.830694 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823129 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.813071 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.803225 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797806 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793812 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786428 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.781738 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772996 [21] validation_0-merror:0.35 validation_0-mlogloss:0.764966 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763623 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758776 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760573 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754768 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744877 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739579 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736964 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.736017 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736841 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735799 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.73088 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727001 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72558 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724884 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722001 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723259 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.723037 [39] validation_0-merror:0.35 validation_0-mlogloss:0.726186 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.724299 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.727104 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722001 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997766 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973947 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952206 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928754 [6] validation_0-merror:0.3 validation_0-mlogloss:0.906727 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.889627 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871447 [9] validation_0-merror:0.3 validation_0-mlogloss:0.861491 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.851381 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83825 [12] validation_0-merror:0.3 validation_0-mlogloss:0.827581 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819457 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811648 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.805379 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.801646 [17] validation_0-merror:0.3 validation_0-mlogloss:0.79485 [18] validation_0-merror:0.3 validation_0-mlogloss:0.785678 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.780483 [20] validation_0-merror:0.3 validation_0-mlogloss:0.771854 [21] validation_0-merror:0.3 validation_0-mlogloss:0.763641 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.757511 [23] validation_0-merror:0.3 validation_0-mlogloss:0.752377 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744818 [25] validation_0-merror:0.3 validation_0-mlogloss:0.742734 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735566 [27] validation_0-merror:0.3 validation_0-mlogloss:0.731612 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724999 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721033 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718089 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716297 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709677 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.709202 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.705405 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.703564 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697193 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693261 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692181 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690287 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685322 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.684269 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.683032 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.682565 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.682729 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.683609 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.68051 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.678815 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.676442 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.679182 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675724 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.673639 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672429 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.67371 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.674495 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673345 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.670542 [57] validation_0-merror:0.3 validation_0-mlogloss:0.668644 [58] validation_0-merror:0.3 validation_0-mlogloss:0.66958 [59] validation_0-merror:0.3 validation_0-mlogloss:0.6681 [60] validation_0-merror:0.3 validation_0-mlogloss:0.669822 [61] validation_0-merror:0.3 validation_0-mlogloss:0.670425 [62] validation_0-merror:0.3 validation_0-mlogloss:0.668271 [63] validation_0-merror:0.3 validation_0-mlogloss:0.670662 [64] validation_0-merror:0.3 validation_0-mlogloss:0.669459 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.6681 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0217 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985775 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.95625 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932312 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908889 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.889358 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.868568 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852844 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842366 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830431 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816214 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803446 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79017 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781017 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769949 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762426 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760087 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753188 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744479 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738286 [21] validation_0-merror:0.35 validation_0-mlogloss:0.730909 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729148 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.727671 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722606 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716179 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.711144 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709317 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704177 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696997 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694183 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692302 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692554 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.689415 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.687423 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.680792 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.679552 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.676177 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.676307 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.676456 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.672875 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.672031 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.666337 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.667498 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665682 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.666779 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.665036 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665011 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.666533 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.666006 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664975 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.668337 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.669933 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.669826 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.668898 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.671214 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664975 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05674 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02435 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993657 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94356 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921957 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889204 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863351 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851939 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838437 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829885 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822129 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814838 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805002 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799218 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793207 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788728 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787411 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.780472 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77549 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.7714 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766386 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760459 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.756369 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751472 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748281 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745366 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742831 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.742243 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.737054 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.734968 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73375 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.732001 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.729134 [36] validation_0-merror:0.35 validation_0-mlogloss:0.727996 [37] validation_0-merror:0.35 validation_0-mlogloss:0.723886 [38] validation_0-merror:0.35 validation_0-mlogloss:0.720488 [39] validation_0-merror:0.35 validation_0-mlogloss:0.71967 [40] validation_0-merror:0.35 validation_0-mlogloss:0.717963 [41] validation_0-merror:0.35 validation_0-mlogloss:0.716851 [42] validation_0-merror:0.35 validation_0-mlogloss:0.716055 [43] validation_0-merror:0.35 validation_0-mlogloss:0.714591 [44] validation_0-merror:0.35 validation_0-mlogloss:0.714448 [45] validation_0-merror:0.35 validation_0-mlogloss:0.71518 [46] validation_0-merror:0.35 validation_0-mlogloss:0.712374 [47] validation_0-merror:0.35 validation_0-mlogloss:0.713408 [48] validation_0-merror:0.35 validation_0-mlogloss:0.71241 [49] validation_0-merror:0.35 validation_0-mlogloss:0.711451 [50] validation_0-merror:0.35 validation_0-mlogloss:0.71114 [51] validation_0-merror:0.35 validation_0-mlogloss:0.713626 [52] validation_0-merror:0.35 validation_0-mlogloss:0.711843 [53] validation_0-merror:0.35 validation_0-mlogloss:0.714947 [54] validation_0-merror:0.35 validation_0-mlogloss:0.713873 [55] validation_0-merror:0.35 validation_0-mlogloss:0.713911 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.71114 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03172 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973193 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948428 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925296 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904734 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875597 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866759 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.861336 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.854421 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.845888 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.837751 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.829146 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.820934 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812724 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.801807 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.793245 [19] validation_0-merror:0.3 validation_0-mlogloss:0.789255 [20] validation_0-merror:0.3 validation_0-mlogloss:0.779837 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771485 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766388 [23] validation_0-merror:0.3 validation_0-mlogloss:0.759166 [24] validation_0-merror:0.3 validation_0-mlogloss:0.752089 [25] validation_0-merror:0.3 validation_0-mlogloss:0.744668 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738618 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73525 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.731761 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726296 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725127 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722767 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.719711 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.714275 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.709981 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.706865 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702744 [37] validation_0-merror:0.3 validation_0-mlogloss:0.699837 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.697647 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.696012 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692141 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.690709 [42] validation_0-merror:0.3 validation_0-mlogloss:0.690725 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.689627 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.687187 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.686714 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.684406 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.684946 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.682701 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.68103 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.680547 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.683066 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.681323 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681203 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.683286 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.683003 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.680547 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06381 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02945 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00198 [3] validation_0-merror:0.4 validation_0-mlogloss:0.973144 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.952445 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925539 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908093 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.889342 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.871853 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857314 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846299 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834117 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823024 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813355 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.803427 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792942 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785544 [17] validation_0-merror:0.3 validation_0-mlogloss:0.773839 [18] validation_0-merror:0.3 validation_0-mlogloss:0.769276 [19] validation_0-merror:0.3 validation_0-mlogloss:0.764953 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757704 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752294 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746695 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739445 [24] validation_0-merror:0.3 validation_0-mlogloss:0.731149 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72511 [26] validation_0-merror:0.3 validation_0-mlogloss:0.719285 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715624 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713369 [29] validation_0-merror:0.3 validation_0-mlogloss:0.705559 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703401 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.698161 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.695448 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.694203 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693034 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694832 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69399 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.687678 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688856 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685209 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68067 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.6813 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.67771 [43] validation_0-merror:0.3 validation_0-mlogloss:0.677015 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67865 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676809 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.677633 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.674779 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.674321 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.675793 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.672766 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.676194 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.675807 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.677551 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.675676 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.674991 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.672766 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01961 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985933 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960837 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933695 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910256 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888935 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871049 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854284 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836616 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822057 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808009 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794856 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787311 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782148 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77343 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769149 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.760517 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759045 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754505 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753282 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747871 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746639 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.744067 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74341 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738684 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734847 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.72901 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726808 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.726146 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.727213 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.725097 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.725333 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721194 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724602 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.728238 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721854 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.724566 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.721276 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721194 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06649 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02828 [2] validation_0-merror:0.35 validation_0-mlogloss:0.994897 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.970276 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.947629 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922254 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.900964 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883247 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867361 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.855079 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.835962 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824609 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81307 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798118 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789694 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784698 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775042 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769508 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760058 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753703 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749724 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744526 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740416 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730891 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729256 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.729324 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.72827 [27] validation_0-merror:0.35 validation_0-mlogloss:0.725257 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721261 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722049 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.715693 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.7112 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703204 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.704636 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.701558 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701699 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69735 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694728 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690591 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690261 [40] validation_0-merror:0.3 validation_0-mlogloss:0.693557 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688297 [42] validation_0-merror:0.3 validation_0-mlogloss:0.688698 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685469 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.681987 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.679968 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.683222 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.680304 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.676882 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677323 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.677277 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.676434 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.671601 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.672749 [54] validation_0-merror:0.3 validation_0-mlogloss:0.67822 [55] validation_0-merror:0.3 validation_0-mlogloss:0.675522 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.674885 [57] validation_0-merror:0.3 validation_0-mlogloss:0.674002 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.671601 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05382 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02112 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996338 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963182 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.944067 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926373 [6] validation_0-merror:0.35 validation_0-mlogloss:0.909637 [7] validation_0-merror:0.3 validation_0-mlogloss:0.889251 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873674 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.858377 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846163 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832998 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821008 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813914 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79911 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785886 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77736 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769833 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764898 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761072 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753184 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748626 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739982 [23] validation_0-merror:0.3 validation_0-mlogloss:0.733436 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731838 [25] validation_0-merror:0.3 validation_0-mlogloss:0.721683 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716277 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714039 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.714655 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.712795 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705511 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.700738 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693349 [33] validation_0-merror:0.25 validation_0-mlogloss:0.690788 [34] validation_0-merror:0.25 validation_0-mlogloss:0.688065 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.683877 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.681904 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.683288 [38] validation_0-merror:0.3 validation_0-mlogloss:0.686458 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682884 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68085 [41] validation_0-merror:0.3 validation_0-mlogloss:0.676907 [42] validation_0-merror:0.3 validation_0-mlogloss:0.675618 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676415 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672644 [45] validation_0-merror:0.3 validation_0-mlogloss:0.670821 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671554 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666019 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662267 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.663821 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.663072 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.663959 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.661919 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.664238 [54] validation_0-merror:0.3 validation_0-mlogloss:0.66326 [55] validation_0-merror:0.3 validation_0-mlogloss:0.661702 [56] validation_0-merror:0.3 validation_0-mlogloss:0.664292 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.663268 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.665709 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.662688 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.664289 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.661702 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02414 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995372 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.967106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.944108 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920582 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904387 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88731 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871715 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853452 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843979 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838728 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826416 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.819054 [14] validation_0-merror:0.35 validation_0-mlogloss:0.808133 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798604 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794042 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789143 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781529 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776292 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768161 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760146 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754133 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7491 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748899 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742941 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733872 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73183 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728991 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.729634 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.731554 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.730888 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.725986 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.720117 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.719027 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.718238 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.716515 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719465 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.718577 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.720728 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.7192 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.719887 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.716515 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997766 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973947 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952206 [5] validation_0-merror:0.3 validation_0-mlogloss:0.93074 [6] validation_0-merror:0.3 validation_0-mlogloss:0.909795 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892737 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.873362 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863251 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852899 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.8412 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830499 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824841 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81807 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.811723 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80659 [17] validation_0-merror:0.3 validation_0-mlogloss:0.799663 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.792231 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786944 [20] validation_0-merror:0.3 validation_0-mlogloss:0.781543 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774877 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.768525 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758487 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.75074 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748679 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741342 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.737421 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729871 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725253 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722166 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.716794 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.710497 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.709982 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.705685 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.704377 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696979 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692552 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.691525 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.689878 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.685799 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.686365 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.68458 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.683557 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684177 [45] validation_0-merror:0.3 validation_0-mlogloss:0.682952 [46] validation_0-merror:0.3 validation_0-mlogloss:0.681607 [47] validation_0-merror:0.3 validation_0-mlogloss:0.679563 [48] validation_0-merror:0.3 validation_0-mlogloss:0.676426 [49] validation_0-merror:0.3 validation_0-mlogloss:0.678248 [50] validation_0-merror:0.3 validation_0-mlogloss:0.676855 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.676753 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.67687 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.678083 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.676426 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05867 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02255 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988713 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958933 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934747 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.911878 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891254 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872857 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856962 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84635 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834296 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.82035 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809513 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795757 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786486 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775396 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76841 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763001 [18] validation_0-merror:0.35 validation_0-mlogloss:0.756087 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.747534 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.740802 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.733951 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732263 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.72895 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724634 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717754 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712668 [27] validation_0-merror:0.3 validation_0-mlogloss:0.710114 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705185 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696245 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694099 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690595 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689247 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68665 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.682793 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679075 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.676808 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672702 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672988 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672728 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671794 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672016 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670821 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.671558 [44] validation_0-merror:0.3 validation_0-mlogloss:0.667814 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.66776 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665159 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664512 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.66579 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.666051 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664436 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661905 [52] validation_0-merror:0.3 validation_0-mlogloss:0.660072 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660355 [54] validation_0-merror:0.3 validation_0-mlogloss:0.658651 [55] validation_0-merror:0.3 validation_0-mlogloss:0.658227 [56] validation_0-merror:0.3 validation_0-mlogloss:0.655778 [57] validation_0-merror:0.3 validation_0-mlogloss:0.654347 [58] validation_0-merror:0.3 validation_0-mlogloss:0.655341 [59] validation_0-merror:0.3 validation_0-mlogloss:0.653384 [60] validation_0-merror:0.3 validation_0-mlogloss:0.652966 [61] validation_0-merror:0.3 validation_0-mlogloss:0.653437 [62] validation_0-merror:0.3 validation_0-mlogloss:0.65268 [63] validation_0-merror:0.3 validation_0-mlogloss:0.652178 [64] validation_0-merror:0.3 validation_0-mlogloss:0.65234 [65] validation_0-merror:0.3 validation_0-mlogloss:0.651602 [66] validation_0-merror:0.3 validation_0-mlogloss:0.651035 [67] validation_0-merror:0.3 validation_0-mlogloss:0.650829 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.651762 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.653286 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.653545 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.652985 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.654311 Stopping. Best iteration: [67] validation_0-merror:0.3 validation_0-mlogloss:0.650829 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05705 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02725 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996394 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970504 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943641 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922253 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903917 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863664 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852815 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842987 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830289 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822958 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816411 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807535 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800943 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796302 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791193 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.785979 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779035 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.773644 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771141 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765929 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76143 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759498 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753651 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.749155 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.746189 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74434 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.741457 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.744064 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.741441 [33] validation_0-merror:0.35 validation_0-mlogloss:0.742412 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743367 [35] validation_0-merror:0.35 validation_0-mlogloss:0.74229 [36] validation_0-merror:0.35 validation_0-mlogloss:0.741263 [37] validation_0-merror:0.35 validation_0-mlogloss:0.739053 [38] validation_0-merror:0.35 validation_0-mlogloss:0.736523 [39] validation_0-merror:0.35 validation_0-mlogloss:0.7348 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.735321 [41] validation_0-merror:0.35 validation_0-mlogloss:0.734304 [42] validation_0-merror:0.35 validation_0-mlogloss:0.734432 [43] validation_0-merror:0.35 validation_0-mlogloss:0.735245 [44] validation_0-merror:0.35 validation_0-mlogloss:0.736622 [45] validation_0-merror:0.35 validation_0-mlogloss:0.735931 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.735059 Stopping. Best iteration: [41] validation_0-merror:0.35 validation_0-mlogloss:0.734304 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971687 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949147 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926288 [6] validation_0-merror:0.35 validation_0-mlogloss:0.906025 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897354 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877075 [9] validation_0-merror:0.35 validation_0-mlogloss:0.867212 [10] validation_0-merror:0.35 validation_0-mlogloss:0.861373 [11] validation_0-merror:0.35 validation_0-mlogloss:0.853273 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847011 [13] validation_0-merror:0.35 validation_0-mlogloss:0.838395 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829799 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.821428 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80788 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.798923 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.787553 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.781634 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774877 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767796 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.758465 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752767 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742447 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741412 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7356 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734842 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73017 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724781 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.723128 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720345 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716377 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.71296 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708542 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.706157 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702202 [37] validation_0-merror:0.3 validation_0-mlogloss:0.700756 [38] validation_0-merror:0.3 validation_0-mlogloss:0.697372 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694432 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692468 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688888 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.686399 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.682797 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.681813 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68018 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.678321 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677224 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.674945 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.672749 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.672233 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.672294 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.670973 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.668669 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.668709 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.668132 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.666096 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667333 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.665396 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.664714 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.664247 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.665093 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.66404 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.663305 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.663869 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.662517 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.661757 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.660611 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.661524 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.660197 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.661174 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.663605 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.667166 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.667426 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.667008 Stopping. Best iteration: [69] validation_0-merror:0.266667 validation_0-mlogloss:0.660197 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06586 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03794 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00958 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97925 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911755 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.893746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876077 [9] validation_0-merror:0.3 validation_0-mlogloss:0.859224 [10] validation_0-merror:0.35 validation_0-mlogloss:0.847055 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835428 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824027 [13] validation_0-merror:0.3 validation_0-mlogloss:0.814122 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804154 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792695 [16] validation_0-merror:0.3 validation_0-mlogloss:0.783578 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.772915 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767361 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762663 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.753956 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.747394 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.741385 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733883 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724728 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724303 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.720243 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717431 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713343 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707554 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705355 [31] validation_0-merror:0.3 validation_0-mlogloss:0.700172 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697294 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697926 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696809 [35] validation_0-merror:0.3 validation_0-mlogloss:0.700527 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.698955 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.697709 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698738 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.696866 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.696809 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986396 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.961404 [4] validation_0-merror:0.3 validation_0-mlogloss:0.93338 [5] validation_0-merror:0.3 validation_0-mlogloss:0.912543 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891775 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873913 [8] validation_0-merror:0.35 validation_0-mlogloss:0.856239 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839578 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.824517 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812101 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800268 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791726 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786996 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778574 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77378 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767481 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765886 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759826 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755694 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750021 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.749648 [23] validation_0-merror:0.35 validation_0-mlogloss:0.747032 [24] validation_0-merror:0.35 validation_0-mlogloss:0.748968 [25] validation_0-merror:0.35 validation_0-mlogloss:0.74393 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740406 [27] validation_0-merror:0.35 validation_0-mlogloss:0.736147 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733044 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73172 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.731247 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.728285 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.728325 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724814 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728017 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73154 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.727371 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730242 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.729953 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724814 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06617 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02796 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994569 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949225 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92622 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.903872 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.871456 [9] validation_0-merror:0.3 validation_0-mlogloss:0.858943 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840263 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828555 [12] validation_0-merror:0.3 validation_0-mlogloss:0.814042 [13] validation_0-merror:0.3 validation_0-mlogloss:0.799046 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788329 [15] validation_0-merror:0.3 validation_0-mlogloss:0.787212 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779588 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770705 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762179 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755639 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752258 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744134 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740083 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728187 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.727368 [25] validation_0-merror:0.35 validation_0-mlogloss:0.727927 [26] validation_0-merror:0.35 validation_0-mlogloss:0.727401 [27] validation_0-merror:0.35 validation_0-mlogloss:0.72561 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.722165 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.724031 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.716916 [31] validation_0-merror:0.35 validation_0-mlogloss:0.714037 [32] validation_0-merror:0.35 validation_0-mlogloss:0.711534 [33] validation_0-merror:0.35 validation_0-mlogloss:0.714469 [34] validation_0-merror:0.35 validation_0-mlogloss:0.711155 [35] validation_0-merror:0.35 validation_0-mlogloss:0.717803 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.713875 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.711804 [38] validation_0-merror:0.35 validation_0-mlogloss:0.710174 [39] validation_0-merror:0.35 validation_0-mlogloss:0.712887 [40] validation_0-merror:0.35 validation_0-mlogloss:0.71078 [41] validation_0-merror:0.35 validation_0-mlogloss:0.707397 [42] validation_0-merror:0.35 validation_0-mlogloss:0.708128 [43] validation_0-merror:0.35 validation_0-mlogloss:0.704184 [44] validation_0-merror:0.35 validation_0-mlogloss:0.702005 [45] validation_0-merror:0.35 validation_0-mlogloss:0.69895 [46] validation_0-merror:0.35 validation_0-mlogloss:0.70334 [47] validation_0-merror:0.35 validation_0-mlogloss:0.701013 [48] validation_0-merror:0.35 validation_0-mlogloss:0.697739 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.700411 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.699146 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.697718 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.692463 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.694454 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.701469 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.700825 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.700123 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.700235 Stopping. Best iteration: [52] validation_0-merror:0.333333 validation_0-mlogloss:0.692463 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0559 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02377 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.998034 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965322 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.945261 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.926622 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.90522 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88749 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875482 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860173 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847876 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.834289 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824682 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816172 [14] validation_0-merror:0.35 validation_0-mlogloss:0.80214 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788462 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780817 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773388 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769992 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767683 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759529 [21] validation_0-merror:0.3 validation_0-mlogloss:0.753514 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745037 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739393 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735239 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728557 [26] validation_0-merror:0.3 validation_0-mlogloss:0.722672 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720895 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719698 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717027 [30] validation_0-merror:0.3 validation_0-mlogloss:0.711986 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.708308 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701707 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697216 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694952 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69119 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.687485 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681158 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682068 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.678393 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.679475 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673526 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.67258 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673581 [44] validation_0-merror:0.3 validation_0-mlogloss:0.672367 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.670816 [46] validation_0-merror:0.3 validation_0-mlogloss:0.6687 [47] validation_0-merror:0.3 validation_0-mlogloss:0.663209 [48] validation_0-merror:0.3 validation_0-mlogloss:0.66113 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662293 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.66197 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661941 [52] validation_0-merror:0.3 validation_0-mlogloss:0.65698 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660624 [54] validation_0-merror:0.3 validation_0-mlogloss:0.660407 [55] validation_0-merror:0.3 validation_0-mlogloss:0.657696 [56] validation_0-merror:0.3 validation_0-mlogloss:0.65996 [57] validation_0-merror:0.3 validation_0-mlogloss:0.658958 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.65698 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05561 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0207 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991914 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962967 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938772 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916373 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.884189 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867356 [9] validation_0-merror:0.3 validation_0-mlogloss:0.855871 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.848962 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843544 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831352 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822097 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.814238 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.804958 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801883 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795165 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787611 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779097 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768193 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760848 [22] validation_0-merror:0.35 validation_0-mlogloss:0.756926 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757043 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756932 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751216 [26] validation_0-merror:0.35 validation_0-mlogloss:0.744158 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742305 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.739538 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737801 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739805 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.739048 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.737551 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.733537 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.732454 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73165 [36] validation_0-merror:0.35 validation_0-mlogloss:0.729258 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.731432 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730687 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.732867 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.73056 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.730878 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.729258 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06405 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02754 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998835 [3] validation_0-merror:0.35 validation_0-mlogloss:0.975727 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954082 [5] validation_0-merror:0.35 validation_0-mlogloss:0.93275 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910768 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894683 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875761 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865636 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855461 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843389 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831785 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826263 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.818333 [15] validation_0-merror:0.35 validation_0-mlogloss:0.812199 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.80378 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.796062 [18] validation_0-merror:0.3 validation_0-mlogloss:0.788624 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786075 [20] validation_0-merror:0.3 validation_0-mlogloss:0.779819 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771612 [22] validation_0-merror:0.3 validation_0-mlogloss:0.763489 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75326 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74836 [25] validation_0-merror:0.3 validation_0-mlogloss:0.746523 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.738946 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.736242 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.727995 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.723205 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.721973 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.716461 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.709022 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708488 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.701928 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.699974 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699593 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695685 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694627 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693093 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.687247 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.686735 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.682665 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684826 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684507 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683312 [46] validation_0-merror:0.3 validation_0-mlogloss:0.68139 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.679474 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.68013 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.678831 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.677445 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.677782 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.675005 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.674623 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.676782 [55] validation_0-merror:0.3 validation_0-mlogloss:0.675502 [56] validation_0-merror:0.3 validation_0-mlogloss:0.669655 [57] validation_0-merror:0.3 validation_0-mlogloss:0.670075 [58] validation_0-merror:0.3 validation_0-mlogloss:0.66958 [59] validation_0-merror:0.3 validation_0-mlogloss:0.66948 [60] validation_0-merror:0.3 validation_0-mlogloss:0.671179 [61] validation_0-merror:0.3 validation_0-mlogloss:0.672727 [62] validation_0-merror:0.3 validation_0-mlogloss:0.675912 [63] validation_0-merror:0.3 validation_0-mlogloss:0.677111 [64] validation_0-merror:0.3 validation_0-mlogloss:0.676768 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.66948 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03153 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00036 [3] validation_0-merror:0.4 validation_0-mlogloss:0.970389 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.948081 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926275 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.905525 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.888706 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872862 [9] validation_0-merror:0.35 validation_0-mlogloss:0.861448 [10] validation_0-merror:0.35 validation_0-mlogloss:0.852603 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.84018 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827903 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.81288 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803794 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.793228 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785559 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780547 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772548 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763885 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75558 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750142 [22] validation_0-merror:0.35 validation_0-mlogloss:0.749132 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747268 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74448 [25] validation_0-merror:0.35 validation_0-mlogloss:0.737798 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734777 [27] validation_0-merror:0.35 validation_0-mlogloss:0.730944 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729639 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722386 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719538 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.71829 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.715574 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713097 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.71218 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.711656 [36] validation_0-merror:0.3 validation_0-mlogloss:0.710661 [37] validation_0-merror:0.3 validation_0-mlogloss:0.705082 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704769 [39] validation_0-merror:0.3 validation_0-mlogloss:0.703669 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.702746 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.704208 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702272 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703894 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.704474 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.704934 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.701306 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699794 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.70051 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696329 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.69328 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.690703 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.6928 [53] validation_0-merror:0.3 validation_0-mlogloss:0.692736 [54] validation_0-merror:0.3 validation_0-mlogloss:0.688896 [55] validation_0-merror:0.3 validation_0-mlogloss:0.689668 [56] validation_0-merror:0.3 validation_0-mlogloss:0.689874 [57] validation_0-merror:0.3 validation_0-mlogloss:0.690247 [58] validation_0-merror:0.3 validation_0-mlogloss:0.688649 [59] validation_0-merror:0.3 validation_0-mlogloss:0.68899 [60] validation_0-merror:0.3 validation_0-mlogloss:0.686201 [61] validation_0-merror:0.3 validation_0-mlogloss:0.685218 [62] validation_0-merror:0.3 validation_0-mlogloss:0.684191 [63] validation_0-merror:0.3 validation_0-mlogloss:0.685321 [64] validation_0-merror:0.3 validation_0-mlogloss:0.683591 [65] validation_0-merror:0.3 validation_0-mlogloss:0.68466 [66] validation_0-merror:0.3 validation_0-mlogloss:0.682455 [67] validation_0-merror:0.3 validation_0-mlogloss:0.68341 [68] validation_0-merror:0.3 validation_0-mlogloss:0.68139 [69] validation_0-merror:0.3 validation_0-mlogloss:0.679306 [70] validation_0-merror:0.3 validation_0-mlogloss:0.679986 [71] validation_0-merror:0.3 validation_0-mlogloss:0.680296 [72] validation_0-merror:0.3 validation_0-mlogloss:0.681974 [73] validation_0-merror:0.316667 validation_0-mlogloss:0.680374 [74] validation_0-merror:0.316667 validation_0-mlogloss:0.681384 Stopping. Best iteration: [69] validation_0-merror:0.3 validation_0-mlogloss:0.679306 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99829 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969273 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945041 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927552 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910476 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898388 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885343 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874767 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.864249 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.85232 [12] validation_0-merror:0.4 validation_0-mlogloss:0.83988 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830197 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.823475 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.814623 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.8053 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802277 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.796925 [19] validation_0-merror:0.4 validation_0-mlogloss:0.792369 [20] validation_0-merror:0.4 validation_0-mlogloss:0.785624 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.783256 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776804 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.771706 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.768532 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767185 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761616 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759252 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.755796 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752642 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750901 [31] validation_0-merror:0.35 validation_0-mlogloss:0.747646 [32] validation_0-merror:0.35 validation_0-mlogloss:0.744936 [33] validation_0-merror:0.35 validation_0-mlogloss:0.744108 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743972 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740821 [36] validation_0-merror:0.35 validation_0-mlogloss:0.738317 [37] validation_0-merror:0.35 validation_0-mlogloss:0.737511 [38] validation_0-merror:0.35 validation_0-mlogloss:0.734659 [39] validation_0-merror:0.35 validation_0-mlogloss:0.732907 [40] validation_0-merror:0.35 validation_0-mlogloss:0.731938 [41] validation_0-merror:0.35 validation_0-mlogloss:0.731236 [42] validation_0-merror:0.35 validation_0-mlogloss:0.733886 [43] validation_0-merror:0.35 validation_0-mlogloss:0.731554 [44] validation_0-merror:0.35 validation_0-mlogloss:0.730195 [45] validation_0-merror:0.35 validation_0-mlogloss:0.729371 [46] validation_0-merror:0.35 validation_0-mlogloss:0.728235 [47] validation_0-merror:0.35 validation_0-mlogloss:0.727757 [48] validation_0-merror:0.35 validation_0-mlogloss:0.727253 [49] validation_0-merror:0.35 validation_0-mlogloss:0.726626 [50] validation_0-merror:0.35 validation_0-mlogloss:0.72511 [51] validation_0-merror:0.35 validation_0-mlogloss:0.726173 [52] validation_0-merror:0.35 validation_0-mlogloss:0.729221 [53] validation_0-merror:0.35 validation_0-mlogloss:0.73024 [54] validation_0-merror:0.35 validation_0-mlogloss:0.730174 [55] validation_0-merror:0.35 validation_0-mlogloss:0.732028 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.72511 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971589 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948869 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926473 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867455 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862827 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.856195 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847116 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.838454 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.826572 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815467 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803535 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794678 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.78556 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.779616 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774774 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767351 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760755 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752957 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.743625 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741431 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.734244 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732792 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728002 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.7241 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.722902 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72103 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.716772 [33] validation_0-merror:0.3 validation_0-mlogloss:0.71331 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.711003 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.708662 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.705388 [37] validation_0-merror:0.3 validation_0-mlogloss:0.702783 [38] validation_0-merror:0.3 validation_0-mlogloss:0.701971 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699566 [40] validation_0-merror:0.3 validation_0-mlogloss:0.696856 [41] validation_0-merror:0.3 validation_0-mlogloss:0.694969 [42] validation_0-merror:0.3 validation_0-mlogloss:0.694708 [43] validation_0-merror:0.3 validation_0-mlogloss:0.69365 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.692299 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.689581 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.685717 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.682712 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.679488 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67899 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.677628 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.675222 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.673289 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.671717 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.672178 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.674135 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.672229 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.672537 [58] validation_0-merror:0.25 validation_0-mlogloss:0.671155 [59] validation_0-merror:0.25 validation_0-mlogloss:0.672407 [60] validation_0-merror:0.25 validation_0-mlogloss:0.672676 [61] validation_0-merror:0.25 validation_0-mlogloss:0.675362 [62] validation_0-merror:0.25 validation_0-mlogloss:0.673783 [63] validation_0-merror:0.25 validation_0-mlogloss:0.674721 Stopping. Best iteration: [58] validation_0-merror:0.25 validation_0-mlogloss:0.671155 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05848 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03262 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973702 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954976 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.914959 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.896673 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.878924 [9] validation_0-merror:0.3 validation_0-mlogloss:0.861521 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849742 [11] validation_0-merror:0.3 validation_0-mlogloss:0.838361 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826393 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819912 [14] validation_0-merror:0.3 validation_0-mlogloss:0.809429 [15] validation_0-merror:0.3 validation_0-mlogloss:0.799892 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790426 [17] validation_0-merror:0.3 validation_0-mlogloss:0.779439 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.773785 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.768721 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762244 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.755503 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.750863 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.744161 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.73465 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733775 [26] validation_0-merror:0.3 validation_0-mlogloss:0.730005 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728628 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.72183 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716518 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.713495 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.708209 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.70623 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706656 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.704152 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702842 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.70103 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.69905 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.700468 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.698514 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.69628 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.695723 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696004 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694768 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.696767 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.69421 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.695285 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.691158 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689261 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.691092 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.687631 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.690863 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688652 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.689843 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.690586 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.688053 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.687631 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05759 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02178 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988676 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.961503 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934655 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915013 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893632 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872773 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855151 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837903 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822877 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811408 [12] validation_0-merror:0.35 validation_0-mlogloss:0.800405 [13] validation_0-merror:0.35 validation_0-mlogloss:0.791776 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.789134 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.781426 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.776396 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76997 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.768286 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.761554 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.760406 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.754894 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.754831 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754327 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75586 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.751435 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747896 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.743709 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739483 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74031 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.740632 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737372 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.736711 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.734008 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.736797 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.737825 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.736567 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.741649 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.739776 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.734008 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02809 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995342 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973414 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950268 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926975 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.90508 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887137 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870811 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858421 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.839715 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828476 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817025 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801707 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791059 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789659 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781863 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773261 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764961 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759456 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75586 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749605 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744752 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74484 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.745519 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743617 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738458 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.735786 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.737187 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735987 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.733333 [32] validation_0-merror:0.35 validation_0-mlogloss:0.72834 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729829 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.727349 [35] validation_0-merror:0.35 validation_0-mlogloss:0.733921 [36] validation_0-merror:0.35 validation_0-mlogloss:0.733854 [37] validation_0-merror:0.35 validation_0-mlogloss:0.731126 [38] validation_0-merror:0.35 validation_0-mlogloss:0.729507 [39] validation_0-merror:0.35 validation_0-mlogloss:0.727363 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.727349 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05582 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965521 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943955 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882564 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867177 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852054 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839464 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825894 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816007 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809407 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79508 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780319 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771869 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764542 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759033 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758156 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750123 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747747 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739514 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732367 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.728077 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.721873 [26] validation_0-merror:0.3 validation_0-mlogloss:0.715768 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715216 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.71408 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712339 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708419 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703524 [32] validation_0-merror:0.3 validation_0-mlogloss:0.694885 [33] validation_0-merror:0.3 validation_0-mlogloss:0.692787 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690543 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686745 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684512 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.680797 [38] validation_0-merror:0.3 validation_0-mlogloss:0.682578 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677468 [40] validation_0-merror:0.3 validation_0-mlogloss:0.677513 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673204 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.672003 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.673062 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.6724 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.673585 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.672663 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.667179 [48] validation_0-merror:0.3 validation_0-mlogloss:0.665688 [49] validation_0-merror:0.3 validation_0-mlogloss:0.664507 [50] validation_0-merror:0.3 validation_0-mlogloss:0.664034 [51] validation_0-merror:0.3 validation_0-mlogloss:0.664252 [52] validation_0-merror:0.3 validation_0-mlogloss:0.662486 [53] validation_0-merror:0.3 validation_0-mlogloss:0.665712 [54] validation_0-merror:0.3 validation_0-mlogloss:0.66583 [55] validation_0-merror:0.3 validation_0-mlogloss:0.664965 [56] validation_0-merror:0.3 validation_0-mlogloss:0.667061 [57] validation_0-merror:0.3 validation_0-mlogloss:0.666765 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.662486 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05883 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02428 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996628 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944307 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.922245 [6] validation_0-merror:0.3 validation_0-mlogloss:0.905977 [7] validation_0-merror:0.3 validation_0-mlogloss:0.887969 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870819 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852077 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844118 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837122 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825285 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818302 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808541 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80062 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796873 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791077 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784504 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779794 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772399 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769737 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762591 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.757766 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759015 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752392 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745361 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742333 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738344 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740927 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.740955 [31] validation_0-merror:0.35 validation_0-mlogloss:0.739027 [32] validation_0-merror:0.35 validation_0-mlogloss:0.737864 [33] validation_0-merror:0.35 validation_0-mlogloss:0.735911 [34] validation_0-merror:0.35 validation_0-mlogloss:0.734581 [35] validation_0-merror:0.35 validation_0-mlogloss:0.732412 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728853 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.729925 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.729097 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.732051 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.729918 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.730007 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.728853 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02912 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00042 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.977264 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95615 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935034 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.912921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.898157 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878483 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868244 [10] validation_0-merror:0.35 validation_0-mlogloss:0.855752 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844331 [12] validation_0-merror:0.35 validation_0-mlogloss:0.833632 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827799 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.819759 [15] validation_0-merror:0.35 validation_0-mlogloss:0.813579 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806934 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798898 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.790745 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788221 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78503 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.784139 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776408 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765828 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.762356 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75622 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748871 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.745762 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737664 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73497 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.735306 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732212 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726716 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72787 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72243 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.721856 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.719737 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.715572 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.713762 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716961 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.711226 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.710249 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.707089 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.709929 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.710606 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.705798 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.702794 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.701725 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.701371 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.704302 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.703031 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.70278 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.701788 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.703265 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.701371 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0627 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999155 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.969985 [4] validation_0-merror:0.4 validation_0-mlogloss:0.948417 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926866 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.90604 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889206 [8] validation_0-merror:0.35 validation_0-mlogloss:0.872833 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.861266 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849088 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838016 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826597 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813167 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804124 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.794179 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785308 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778529 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772942 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766127 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759495 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753917 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750751 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748353 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74571 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738633 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735148 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732787 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72982 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724854 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722253 [31] validation_0-merror:0.3 validation_0-mlogloss:0.721807 [32] validation_0-merror:0.3 validation_0-mlogloss:0.72089 [33] validation_0-merror:0.3 validation_0-mlogloss:0.719789 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721806 [35] validation_0-merror:0.3 validation_0-mlogloss:0.717768 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.716226 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.714149 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.713589 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.71381 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.713535 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.714594 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712529 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.71253 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.712466 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.714447 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.713193 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.710057 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.7065 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.704164 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.701694 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.702392 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.699874 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.701886 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.700743 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.701051 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.700566 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.700146 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.699874 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05715 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02739 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994041 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965801 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938334 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918916 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899983 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886505 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87367 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863391 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.852895 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841098 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828966 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.820183 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.813631 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808885 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801125 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794175 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.787862 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783941 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777442 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775985 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771934 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769531 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763996 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759779 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757597 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755854 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75323 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.750461 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749898 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.750274 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.745442 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746397 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.742781 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.742301 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.740867 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.74147 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.738246 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.736861 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.737287 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.73606 [42] validation_0-merror:0.35 validation_0-mlogloss:0.736463 [43] validation_0-merror:0.35 validation_0-mlogloss:0.734314 [44] validation_0-merror:0.35 validation_0-mlogloss:0.731344 [45] validation_0-merror:0.35 validation_0-mlogloss:0.73366 [46] validation_0-merror:0.35 validation_0-mlogloss:0.733932 [47] validation_0-merror:0.35 validation_0-mlogloss:0.736368 [48] validation_0-merror:0.35 validation_0-mlogloss:0.738737 [49] validation_0-merror:0.35 validation_0-mlogloss:0.738306 Stopping. Best iteration: [44] validation_0-merror:0.35 validation_0-mlogloss:0.731344 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0343 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00054 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974659 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.951715 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925813 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905415 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895721 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875612 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.865833 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.860781 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.854726 [12] validation_0-merror:0.35 validation_0-mlogloss:0.849331 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.841847 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.828682 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819929 [16] validation_0-merror:0.35 validation_0-mlogloss:0.80844 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797623 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79029 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781537 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.777882 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.770065 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765637 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756068 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749257 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.741755 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741469 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738913 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737402 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732584 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.731449 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.725013 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.720166 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716813 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.715427 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.71442 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.710608 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.709566 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.7095 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.706783 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.706911 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.705089 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702769 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.700639 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.700771 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.700471 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.700059 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699816 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.69698 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696084 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.694864 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.691318 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.69019 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.687667 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.687298 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.685882 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.683056 [57] validation_0-merror:0.3 validation_0-mlogloss:0.681849 [58] validation_0-merror:0.3 validation_0-mlogloss:0.68169 [59] validation_0-merror:0.3 validation_0-mlogloss:0.679903 [60] validation_0-merror:0.3 validation_0-mlogloss:0.679847 [61] validation_0-merror:0.3 validation_0-mlogloss:0.678264 [62] validation_0-merror:0.3 validation_0-mlogloss:0.677128 [63] validation_0-merror:0.3 validation_0-mlogloss:0.676159 [64] validation_0-merror:0.3 validation_0-mlogloss:0.677023 [65] validation_0-merror:0.3 validation_0-mlogloss:0.676912 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.677265 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.677094 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.678703 Stopping. Best iteration: [63] validation_0-merror:0.3 validation_0-mlogloss:0.676159 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06168 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02238 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99377 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959534 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939111 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912245 [6] validation_0-merror:0.35 validation_0-mlogloss:0.892375 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874572 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.856471 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838062 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828857 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814001 [12] validation_0-merror:0.3 validation_0-mlogloss:0.801715 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793837 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.78006 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769334 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.757947 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752073 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746302 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741398 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.731111 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.726908 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.716428 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.708752 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.700587 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.695082 [26] validation_0-merror:0.3 validation_0-mlogloss:0.689641 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.690508 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.685858 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.674833 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.669604 [31] validation_0-merror:0.3 validation_0-mlogloss:0.663554 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.66192 [33] validation_0-merror:0.3 validation_0-mlogloss:0.659171 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.663046 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.667047 [36] validation_0-merror:0.3 validation_0-mlogloss:0.668242 [37] validation_0-merror:0.3 validation_0-mlogloss:0.661998 [38] validation_0-merror:0.3 validation_0-mlogloss:0.661136 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.659171 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02261 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982853 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956341 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923415 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902682 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876701 [7] validation_0-merror:0.35 validation_0-mlogloss:0.858543 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.839617 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.822979 [10] validation_0-merror:0.35 validation_0-mlogloss:0.81449 [11] validation_0-merror:0.35 validation_0-mlogloss:0.802813 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.79518 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.785976 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.783741 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.773602 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.772358 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764111 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758876 [19] validation_0-merror:0.35 validation_0-mlogloss:0.761822 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760946 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761814 [22] validation_0-merror:0.35 validation_0-mlogloss:0.762963 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.760597 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758876 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05254 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01381 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977151 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958027 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930268 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913438 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894935 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880897 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.862623 [9] validation_0-merror:0.35 validation_0-mlogloss:0.853208 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837701 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826133 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810531 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796353 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783294 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786099 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77803 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776233 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768052 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761876 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.761077 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.761541 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758493 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.750595 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.753448 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757124 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.754038 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755005 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75388 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.750595 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0474 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01178 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.980343 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.944344 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923011 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.89424 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870643 [7] validation_0-merror:0.3 validation_0-mlogloss:0.850495 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.833068 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.817348 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.804866 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.789602 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.779838 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.767097 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.758616 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.747416 [16] validation_0-merror:0.3 validation_0-mlogloss:0.738338 [17] validation_0-merror:0.3 validation_0-mlogloss:0.730058 [18] validation_0-merror:0.3 validation_0-mlogloss:0.727296 [19] validation_0-merror:0.3 validation_0-mlogloss:0.725934 [20] validation_0-merror:0.3 validation_0-mlogloss:0.719701 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.715762 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.709668 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.708294 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.706845 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706207 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699859 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700479 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700798 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.699791 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695847 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.695553 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.691176 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690836 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.691147 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.691917 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.691201 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.695043 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.69498 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690836 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0518 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00588 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.973747 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.939191 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.913414 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.884904 [6] validation_0-merror:0.3 validation_0-mlogloss:0.866099 [7] validation_0-merror:0.3 validation_0-mlogloss:0.847891 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.824927 [9] validation_0-merror:0.3 validation_0-mlogloss:0.810365 [10] validation_0-merror:0.3 validation_0-mlogloss:0.803668 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798124 [12] validation_0-merror:0.3 validation_0-mlogloss:0.789326 [13] validation_0-merror:0.3 validation_0-mlogloss:0.782623 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779588 [15] validation_0-merror:0.3 validation_0-mlogloss:0.771875 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769932 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763679 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756482 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752027 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745345 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746383 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741365 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740891 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745418 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741509 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740237 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741291 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741257 [29] validation_0-merror:0.3 validation_0-mlogloss:0.740352 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.741172 [31] validation_0-merror:0.35 validation_0-mlogloss:0.746951 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740237 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0522 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01511 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982565 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963391 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938486 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918672 [6] validation_0-merror:0.3 validation_0-mlogloss:0.898792 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.887565 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.864844 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.854209 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848005 [11] validation_0-merror:0.3 validation_0-mlogloss:0.832651 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821279 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.80901 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.797636 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792566 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790278 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7816 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775272 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768903 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763701 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764339 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758311 [23] validation_0-merror:0.3 validation_0-mlogloss:0.754679 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749739 [25] validation_0-merror:0.3 validation_0-mlogloss:0.750709 [26] validation_0-merror:0.3 validation_0-mlogloss:0.750872 [27] validation_0-merror:0.3 validation_0-mlogloss:0.748192 [28] validation_0-merror:0.3 validation_0-mlogloss:0.745443 [29] validation_0-merror:0.3 validation_0-mlogloss:0.739883 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738107 [31] validation_0-merror:0.3 validation_0-mlogloss:0.741411 [32] validation_0-merror:0.3 validation_0-mlogloss:0.739259 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741462 [34] validation_0-merror:0.3 validation_0-mlogloss:0.738709 [35] validation_0-merror:0.3 validation_0-mlogloss:0.742231 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.738107 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05012 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.0086 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.973653 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.940702 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.913529 [5] validation_0-merror:0.3 validation_0-mlogloss:0.89193 [6] validation_0-merror:0.3 validation_0-mlogloss:0.86927 [7] validation_0-merror:0.3 validation_0-mlogloss:0.848916 [8] validation_0-merror:0.3 validation_0-mlogloss:0.831751 [9] validation_0-merror:0.3 validation_0-mlogloss:0.814714 [10] validation_0-merror:0.3 validation_0-mlogloss:0.801118 [11] validation_0-merror:0.3 validation_0-mlogloss:0.78819 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.773705 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.759059 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.750629 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.746795 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.741997 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.736187 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.733186 [19] validation_0-merror:0.25 validation_0-mlogloss:0.724989 [20] validation_0-merror:0.25 validation_0-mlogloss:0.716953 [21] validation_0-merror:0.25 validation_0-mlogloss:0.711356 [22] validation_0-merror:0.25 validation_0-mlogloss:0.710982 [23] validation_0-merror:0.25 validation_0-mlogloss:0.706966 [24] validation_0-merror:0.25 validation_0-mlogloss:0.705291 [25] validation_0-merror:0.25 validation_0-mlogloss:0.699527 [26] validation_0-merror:0.25 validation_0-mlogloss:0.698551 [27] validation_0-merror:0.25 validation_0-mlogloss:0.698051 [28] validation_0-merror:0.25 validation_0-mlogloss:0.694904 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690394 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.687535 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689112 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686521 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.685442 [34] validation_0-merror:0.25 validation_0-mlogloss:0.685114 [35] validation_0-merror:0.25 validation_0-mlogloss:0.683156 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.680872 [37] validation_0-merror:0.25 validation_0-mlogloss:0.682357 [38] validation_0-merror:0.25 validation_0-mlogloss:0.682683 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.68169 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.680037 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.679353 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.681529 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.684121 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.683126 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.682878 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.686661 Stopping. Best iteration: [41] validation_0-merror:0.266667 validation_0-mlogloss:0.679353 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05324 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02007 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985207 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958572 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927281 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899169 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881844 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.862807 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.84856 [9] validation_0-merror:0.3 validation_0-mlogloss:0.838429 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83006 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.819587 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807919 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.79715 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791915 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.782206 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.773664 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.767 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766827 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765674 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768461 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767331 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768389 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.768343 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.768692 Stopping. Best iteration: [19] validation_0-merror:0.3 validation_0-mlogloss:0.765674 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06168 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01863 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.976777 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.950385 [4] validation_0-merror:0.35 validation_0-mlogloss:0.917788 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894385 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.871668 [7] validation_0-merror:0.35 validation_0-mlogloss:0.856473 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840534 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830511 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.818878 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811469 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805628 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797325 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787496 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785837 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776003 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767823 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767214 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769282 [20] validation_0-merror:0.3 validation_0-mlogloss:0.767692 [21] validation_0-merror:0.3 validation_0-mlogloss:0.766448 [22] validation_0-merror:0.3 validation_0-mlogloss:0.768597 [23] validation_0-merror:0.3 validation_0-mlogloss:0.762874 [24] validation_0-merror:0.3 validation_0-mlogloss:0.755948 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755413 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.760468 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.75724 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757304 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.760662 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.765927 Stopping. Best iteration: [25] validation_0-merror:0.3 validation_0-mlogloss:0.755413 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05503 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01311 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983319 [3] validation_0-merror:0.35 validation_0-mlogloss:0.950623 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.928561 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901631 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.884351 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863287 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.843678 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.826941 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820459 [11] validation_0-merror:0.35 validation_0-mlogloss:0.80715 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796201 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788912 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.77605 [15] validation_0-merror:0.35 validation_0-mlogloss:0.770828 [16] validation_0-merror:0.35 validation_0-mlogloss:0.766278 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.756482 [18] validation_0-merror:0.35 validation_0-mlogloss:0.752842 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748066 [20] validation_0-merror:0.3 validation_0-mlogloss:0.737692 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.734638 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.725773 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.715856 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.707405 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.703327 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.695882 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699633 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700565 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.696282 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.693748 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690707 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684353 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682097 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684181 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.686936 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.685367 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.682228 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.684631 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682097 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987915 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958276 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925762 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902587 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879233 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862093 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.840311 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.822721 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.807623 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.795518 [12] validation_0-merror:0.35 validation_0-mlogloss:0.787521 [13] validation_0-merror:0.35 validation_0-mlogloss:0.780231 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.776548 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.76755 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.766982 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.760789 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7602 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.760767 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760296 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76117 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761787 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762641 Stopping. Best iteration: [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7602 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05615 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01849 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.980038 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.964415 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.937402 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918319 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899107 [7] validation_0-merror:0.35 validation_0-mlogloss:0.886585 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.864953 [9] validation_0-merror:0.35 validation_0-mlogloss:0.853757 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.838401 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830794 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813312 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.797363 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788347 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788164 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778806 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772035 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764624 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758845 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.755837 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753048 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.746546 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737846 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.732965 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734244 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733741 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729079 [28] validation_0-merror:0.3 validation_0-mlogloss:0.726501 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724538 [30] validation_0-merror:0.3 validation_0-mlogloss:0.720764 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718155 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714902 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.718917 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.720397 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.727278 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.722867 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.720453 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714902 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04841 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0138 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984185 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947709 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929354 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907927 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.890751 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.869897 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849616 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.83421 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81976 [11] validation_0-merror:0.35 validation_0-mlogloss:0.806725 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795677 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.784776 [14] validation_0-merror:0.35 validation_0-mlogloss:0.775251 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.763892 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.755575 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.745858 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.743702 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743846 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.737218 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.731746 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.725224 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.720944 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.71831 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.714673 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709214 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709234 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710839 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70904 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.704184 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699779 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.696956 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694329 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.694822 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69224 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693108 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696258 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.699424 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.698792 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.699652 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.69224 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00545 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975994 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939068 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.911322 [5] validation_0-merror:0.3 validation_0-mlogloss:0.885974 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.871292 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.853274 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.835028 [9] validation_0-merror:0.35 validation_0-mlogloss:0.819264 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812117 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804134 [12] validation_0-merror:0.35 validation_0-mlogloss:0.793727 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788501 [14] validation_0-merror:0.35 validation_0-mlogloss:0.783804 [15] validation_0-merror:0.35 validation_0-mlogloss:0.776728 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.771885 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.767256 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764615 [19] validation_0-merror:0.35 validation_0-mlogloss:0.75842 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752135 [21] validation_0-merror:0.35 validation_0-mlogloss:0.75338 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.750528 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.749059 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.753073 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.74706 [26] validation_0-merror:0.35 validation_0-mlogloss:0.742887 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738982 [28] validation_0-merror:0.35 validation_0-mlogloss:0.737693 [29] validation_0-merror:0.35 validation_0-mlogloss:0.73934 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.742755 [31] validation_0-merror:0.35 validation_0-mlogloss:0.747789 [32] validation_0-merror:0.35 validation_0-mlogloss:0.746603 [33] validation_0-merror:0.35 validation_0-mlogloss:0.746425 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.737693 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01249 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.980219 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962487 [4] validation_0-merror:0.35 validation_0-mlogloss:0.934707 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911091 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.890416 [7] validation_0-merror:0.3 validation_0-mlogloss:0.876926 [8] validation_0-merror:0.3 validation_0-mlogloss:0.856356 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847531 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839064 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.82211 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.807437 [13] validation_0-merror:0.3 validation_0-mlogloss:0.800124 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.788333 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.784725 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.779098 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.767931 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769107 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.763833 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758085 [21] validation_0-merror:0.3 validation_0-mlogloss:0.756012 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.751202 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.746377 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.741327 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.739075 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735169 [27] validation_0-merror:0.3 validation_0-mlogloss:0.733875 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.725462 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.720295 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.722145 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.720927 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720861 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.723194 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.720379 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.720295 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01746 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978084 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948419 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.918805 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.893917 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.874229 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.85316 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.836012 [9] validation_0-merror:0.35 validation_0-mlogloss:0.82075 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.808192 [11] validation_0-merror:0.3 validation_0-mlogloss:0.791719 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.780002 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.76782 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.758027 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.74851 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.741473 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.733057 [18] validation_0-merror:0.3 validation_0-mlogloss:0.724489 [19] validation_0-merror:0.3 validation_0-mlogloss:0.722542 [20] validation_0-merror:0.3 validation_0-mlogloss:0.714295 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.707038 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.706078 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.701376 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.698932 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.696454 [26] validation_0-merror:0.25 validation_0-mlogloss:0.693772 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.693589 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.691897 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690285 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688623 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.688695 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686905 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.685647 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.687058 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.685706 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.684095 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.685877 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.685197 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684318 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684036 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.684305 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.684467 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.686277 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.685342 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.683851 [46] validation_0-merror:0.25 validation_0-mlogloss:0.684318 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.686152 [48] validation_0-merror:0.25 validation_0-mlogloss:0.686191 [49] validation_0-merror:0.25 validation_0-mlogloss:0.686237 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.686509 Stopping. Best iteration: [45] validation_0-merror:0.266667 validation_0-mlogloss:0.683851 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05094 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02089 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983864 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954195 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926634 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.903274 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.884665 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868666 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851961 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836953 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826407 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812569 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.8014 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.789132 [14] validation_0-merror:0.3 validation_0-mlogloss:0.782242 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781941 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773497 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769251 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772114 [19] validation_0-merror:0.35 validation_0-mlogloss:0.770148 [20] validation_0-merror:0.35 validation_0-mlogloss:0.773015 [21] validation_0-merror:0.35 validation_0-mlogloss:0.771397 [22] validation_0-merror:0.35 validation_0-mlogloss:0.773394 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769251 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.3 validation_0-mlogloss:0.974817 [3] validation_0-merror:0.3 validation_0-mlogloss:0.946567 [4] validation_0-merror:0.3 validation_0-mlogloss:0.920272 [5] validation_0-merror:0.3 validation_0-mlogloss:0.893432 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872405 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.860502 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846198 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836759 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829157 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818929 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808032 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806102 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79657 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791608 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78002 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772062 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773682 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773163 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773992 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767042 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76465 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.762958 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756775 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.755829 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.755194 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.758226 [28] validation_0-merror:0.3 validation_0-mlogloss:0.757133 [29] validation_0-merror:0.3 validation_0-mlogloss:0.753438 [30] validation_0-merror:0.3 validation_0-mlogloss:0.754468 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.750455 [32] validation_0-merror:0.3 validation_0-mlogloss:0.746093 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.742342 [34] validation_0-merror:0.3 validation_0-mlogloss:0.737448 [35] validation_0-merror:0.3 validation_0-mlogloss:0.740472 [36] validation_0-merror:0.3 validation_0-mlogloss:0.73964 [37] validation_0-merror:0.3 validation_0-mlogloss:0.742061 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.74264 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.74443 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.737448 [0] validation_0-merror:0.566667 validation_0-mlogloss:1.06343 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.994587 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.963431 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941302 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914671 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897105 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876913 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859148 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843838 [10] validation_0-merror:0.35 validation_0-mlogloss:0.835909 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824038 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813198 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.807728 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79862 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790951 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.783766 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772842 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.770889 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766337 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756675 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752752 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749696 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738375 [24] validation_0-merror:0.3 validation_0-mlogloss:0.732309 [25] validation_0-merror:0.3 validation_0-mlogloss:0.73156 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.728154 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728935 [28] validation_0-merror:0.3 validation_0-mlogloss:0.728562 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724989 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721665 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716645 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715861 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716503 [34] validation_0-merror:0.25 validation_0-mlogloss:0.716172 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.717703 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.716601 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.714816 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.715776 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.713798 [40] validation_0-merror:0.3 validation_0-mlogloss:0.716998 [41] validation_0-merror:0.3 validation_0-mlogloss:0.715766 [42] validation_0-merror:0.3 validation_0-mlogloss:0.712333 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.707591 [44] validation_0-merror:0.3 validation_0-mlogloss:0.709711 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.707788 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.710898 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.707507 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.709921 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.713317 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.708487 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.710916 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.709555 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.707507 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985664 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959284 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92818 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905479 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881531 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.860939 [8] validation_0-merror:0.35 validation_0-mlogloss:0.843286 [9] validation_0-merror:0.35 validation_0-mlogloss:0.825843 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813635 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.803537 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795205 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.786905 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.782875 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.773793 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.77137 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.763313 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.762827 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.761228 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.754471 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.753275 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.753164 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754046 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.75501 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.752987 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754191 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750337 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74918 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.750665 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.753504 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753736 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.752651 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752368 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74918 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06156 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01949 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.984831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964667 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940405 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916997 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895425 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881592 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863237 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849123 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.831405 [11] validation_0-merror:0.3 validation_0-mlogloss:0.821701 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.80647 [13] validation_0-merror:0.3 validation_0-mlogloss:0.792497 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.781221 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781722 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772183 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764367 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757322 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751343 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743691 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74047 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.73791 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731651 [24] validation_0-merror:0.35 validation_0-mlogloss:0.729022 [25] validation_0-merror:0.35 validation_0-mlogloss:0.72997 [26] validation_0-merror:0.35 validation_0-mlogloss:0.72951 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.724483 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.720673 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717253 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71393 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.711855 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.708165 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711552 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710797 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.717361 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717726 [37] validation_0-merror:0.3 validation_0-mlogloss:0.713107 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.708165 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01561 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990047 [3] validation_0-merror:0.3 validation_0-mlogloss:0.954863 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932488 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913085 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895814 [7] validation_0-merror:0.35 validation_0-mlogloss:0.874886 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857599 [9] validation_0-merror:0.35 validation_0-mlogloss:0.842706 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829485 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816383 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805605 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796746 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785351 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775171 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.764759 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.756378 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754603 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754403 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747279 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745078 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.739224 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.736515 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731404 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.727124 [26] validation_0-merror:0.3 validation_0-mlogloss:0.721257 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724362 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.724932 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725168 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718632 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713117 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70938 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706926 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705173 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700103 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698874 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701729 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700314 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.698234 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.699923 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.696949 [42] validation_0-merror:0.3 validation_0-mlogloss:0.694848 [43] validation_0-merror:0.3 validation_0-mlogloss:0.696132 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.693718 [45] validation_0-merror:0.3 validation_0-mlogloss:0.695703 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694225 [47] validation_0-merror:0.3 validation_0-mlogloss:0.690893 [48] validation_0-merror:0.3 validation_0-mlogloss:0.688366 [49] validation_0-merror:0.3 validation_0-mlogloss:0.689538 [50] validation_0-merror:0.3 validation_0-mlogloss:0.689577 [51] validation_0-merror:0.3 validation_0-mlogloss:0.694133 [52] validation_0-merror:0.3 validation_0-mlogloss:0.691831 [53] validation_0-merror:0.3 validation_0-mlogloss:0.694456 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.688366 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00675 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975891 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.917958 [5] validation_0-merror:0.35 validation_0-mlogloss:0.894112 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877824 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859818 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839484 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.823182 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.816647 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807815 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795922 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789988 [14] validation_0-merror:0.35 validation_0-mlogloss:0.783788 [15] validation_0-merror:0.35 validation_0-mlogloss:0.775111 [16] validation_0-merror:0.35 validation_0-mlogloss:0.771376 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767649 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765408 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758279 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750848 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.752042 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.747027 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747006 [24] validation_0-merror:0.35 validation_0-mlogloss:0.751334 [25] validation_0-merror:0.35 validation_0-mlogloss:0.749609 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745658 [27] validation_0-merror:0.35 validation_0-mlogloss:0.747451 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.746716 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744809 [30] validation_0-merror:0.35 validation_0-mlogloss:0.748323 [31] validation_0-merror:0.35 validation_0-mlogloss:0.752338 [32] validation_0-merror:0.35 validation_0-mlogloss:0.749507 [33] validation_0-merror:0.35 validation_0-mlogloss:0.750689 [34] validation_0-merror:0.35 validation_0-mlogloss:0.748513 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744809 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05673 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01179 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.98298 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959962 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93884 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.91889 [6] validation_0-merror:0.25 validation_0-mlogloss:0.898343 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882615 [8] validation_0-merror:0.25 validation_0-mlogloss:0.859508 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.848261 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.838438 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.821767 [12] validation_0-merror:0.25 validation_0-mlogloss:0.808216 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.796728 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.790072 [15] validation_0-merror:0.25 validation_0-mlogloss:0.781331 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.779236 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.769948 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.771254 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.766027 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.76229 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.7632 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.758013 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.752091 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.745002 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.741606 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737317 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735276 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.730547 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.727729 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.727779 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.723021 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.721366 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.723239 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.721099 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.727294 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.726555 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.726214 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.726078 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.729383 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.721099 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05354 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01568 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.97978 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.948545 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919078 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.8922 [6] validation_0-merror:0.3 validation_0-mlogloss:0.869184 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.850224 [8] validation_0-merror:0.3 validation_0-mlogloss:0.832712 [9] validation_0-merror:0.3 validation_0-mlogloss:0.821935 [10] validation_0-merror:0.3 validation_0-mlogloss:0.808016 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.791612 [12] validation_0-merror:0.3 validation_0-mlogloss:0.782936 [13] validation_0-merror:0.3 validation_0-mlogloss:0.77505 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.766853 [15] validation_0-merror:0.3 validation_0-mlogloss:0.755772 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.748507 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.744848 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.739323 [19] validation_0-merror:0.3 validation_0-mlogloss:0.731634 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.721163 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.716761 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.711037 [23] validation_0-merror:0.3 validation_0-mlogloss:0.708137 [24] validation_0-merror:0.3 validation_0-mlogloss:0.704232 [25] validation_0-merror:0.3 validation_0-mlogloss:0.699695 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.695334 [27] validation_0-merror:0.3 validation_0-mlogloss:0.694646 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.694408 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.69334 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.692727 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.693066 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.693439 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.693464 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.691832 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.692626 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692951 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692499 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.693691 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692644 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.691832 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0514 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01644 [2] validation_0-merror:0.4 validation_0-mlogloss:0.978514 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950518 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.9185 [5] validation_0-merror:0.4 validation_0-mlogloss:0.894803 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.875211 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.859327 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.847018 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83318 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.820889 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.808037 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.798844 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790482 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786215 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.778931 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.7749 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.772439 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.771707 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.770378 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.764926 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762009 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.76229 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762758 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76208 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761324 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761466 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.764961 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.765419 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.765499 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.765288 Stopping. Best iteration: [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761324 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02513 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988125 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965316 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935094 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910309 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.888192 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869745 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851485 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.845379 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83128 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815384 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804058 [13] validation_0-merror:0.35 validation_0-mlogloss:0.799386 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788949 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780962 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.772525 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.762672 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759939 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.757681 [20] validation_0-merror:0.3 validation_0-mlogloss:0.753927 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751336 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.74795 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.740952 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.738278 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.733445 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.731334 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.73049 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.728354 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.726046 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.727326 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.725564 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.723986 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.720699 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.717028 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.721047 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.719521 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.716552 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.720804 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.7209 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.72002 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.719659 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.719369 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.716552 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00548 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.974554 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951745 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925612 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907139 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.889949 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.873422 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852459 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843087 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827224 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815369 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803305 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793147 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785718 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778994 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769115 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765237 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762906 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75333 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747245 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742798 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739357 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.734226 [25] validation_0-merror:0.3 validation_0-mlogloss:0.735315 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733557 [27] validation_0-merror:0.3 validation_0-mlogloss:0.732517 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.732811 [29] validation_0-merror:0.3 validation_0-mlogloss:0.726395 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.726088 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722454 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.719399 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.716871 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718756 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.72202 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722446 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.719345 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716816 [39] validation_0-merror:0.3 validation_0-mlogloss:0.714443 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714101 [41] validation_0-merror:0.3 validation_0-mlogloss:0.714424 [42] validation_0-merror:0.3 validation_0-mlogloss:0.711056 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.710756 [44] validation_0-merror:0.3 validation_0-mlogloss:0.71271 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.708872 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.711424 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.707874 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.707137 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.708958 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.706245 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.710945 [52] validation_0-merror:0.3 validation_0-mlogloss:0.711366 [53] validation_0-merror:0.3 validation_0-mlogloss:0.71277 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.71481 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.714648 Stopping. Best iteration: [50] validation_0-merror:0.316667 validation_0-mlogloss:0.706245 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02511 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986763 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.962367 [4] validation_0-merror:0.3 validation_0-mlogloss:0.929946 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886922 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86916 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849486 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831397 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815545 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805308 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797692 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789264 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.782667 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.77645 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.772622 [17] validation_0-merror:0.35 validation_0-mlogloss:0.762865 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76136 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.756948 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.752427 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.746867 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.746144 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.748593 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.752161 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.749173 [26] validation_0-merror:0.4 validation_0-mlogloss:0.747229 [27] validation_0-merror:0.4 validation_0-mlogloss:0.745337 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.743176 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.744262 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.746517 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749013 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.748016 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.74848 Stopping. Best iteration: [28] validation_0-merror:0.383333 validation_0-mlogloss:0.743176 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939957 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918611 [6] validation_0-merror:0.3 validation_0-mlogloss:0.900375 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883965 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865448 [9] validation_0-merror:0.35 validation_0-mlogloss:0.856681 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838958 [11] validation_0-merror:0.35 validation_0-mlogloss:0.828602 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816192 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801408 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791488 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.79115 [16] validation_0-merror:0.35 validation_0-mlogloss:0.782844 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773359 [18] validation_0-merror:0.35 validation_0-mlogloss:0.770098 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765109 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758812 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753291 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751376 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.742831 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.740873 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741411 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743013 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738583 [28] validation_0-merror:0.35 validation_0-mlogloss:0.737876 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.731662 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.727233 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.723889 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.721718 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724778 [34] validation_0-merror:0.35 validation_0-mlogloss:0.726197 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727412 [36] validation_0-merror:0.35 validation_0-mlogloss:0.726231 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723211 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.721718 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05143 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01847 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99497 [3] validation_0-merror:0.3 validation_0-mlogloss:0.961672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940525 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914186 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.8933 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87712 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865178 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847701 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833851 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820609 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810783 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802219 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792171 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782691 [16] validation_0-merror:0.35 validation_0-mlogloss:0.775576 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768847 [18] validation_0-merror:0.3 validation_0-mlogloss:0.767246 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.768951 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760454 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754749 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.747698 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.742551 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738736 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.732334 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726781 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728991 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730191 [29] validation_0-merror:0.3 validation_0-mlogloss:0.728014 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724169 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720357 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714442 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711071 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708559 [35] validation_0-merror:0.3 validation_0-mlogloss:0.703945 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.700806 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698706 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.698992 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690879 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.693065 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688152 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.689509 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689648 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.689405 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.690166 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691503 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688152 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05492 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01165 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982614 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94993 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.921876 [5] validation_0-merror:0.3 validation_0-mlogloss:0.893397 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.87873 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856827 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837831 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.821765 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.812913 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.808068 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796907 [13] validation_0-merror:0.3 validation_0-mlogloss:0.788769 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782854 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774134 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769543 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76572 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.76319 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758195 [20] validation_0-merror:0.35 validation_0-mlogloss:0.74837 [21] validation_0-merror:0.35 validation_0-mlogloss:0.746046 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.74224 [23] validation_0-merror:0.35 validation_0-mlogloss:0.743932 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744776 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743646 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.741934 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744622 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.743624 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742121 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.740442 [31] validation_0-merror:0.35 validation_0-mlogloss:0.739335 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738294 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.738471 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.738144 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.737354 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738072 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.741508 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.744062 [39] validation_0-merror:0.35 validation_0-mlogloss:0.749229 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.750046 Stopping. Best iteration: [35] validation_0-merror:0.366667 validation_0-mlogloss:0.737354 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01587 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985157 [3] validation_0-merror:0.3 validation_0-mlogloss:0.957714 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936684 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.908829 [6] validation_0-merror:0.25 validation_0-mlogloss:0.888406 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.873873 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.854921 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.842529 [10] validation_0-merror:0.25 validation_0-mlogloss:0.827613 [11] validation_0-merror:0.25 validation_0-mlogloss:0.817741 [12] validation_0-merror:0.25 validation_0-mlogloss:0.805452 [13] validation_0-merror:0.25 validation_0-mlogloss:0.795632 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.786164 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.779507 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775412 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768449 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767264 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760464 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.752712 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.751461 [22] validation_0-merror:0.25 validation_0-mlogloss:0.745342 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.738038 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.736743 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.736228 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.728707 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.726285 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.721183 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.723778 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.725215 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721043 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.719164 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.722154 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.718727 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.723435 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.721102 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.720314 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.718769 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.722199 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.718727 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05952 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02215 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988061 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957534 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930812 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907169 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887338 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870688 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85346 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842038 [10] validation_0-merror:0.3 validation_0-mlogloss:0.830834 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811452 [12] validation_0-merror:0.3 validation_0-mlogloss:0.802014 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794193 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785061 [15] validation_0-merror:0.3 validation_0-mlogloss:0.778566 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769387 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761841 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.758739 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753759 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748852 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.743405 [22] validation_0-merror:0.3 validation_0-mlogloss:0.74112 [23] validation_0-merror:0.3 validation_0-mlogloss:0.736513 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733657 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727582 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.722983 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717491 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715717 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713854 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.713297 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.71388 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714179 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.713872 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714589 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712451 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.711629 [37] validation_0-merror:0.3 validation_0-mlogloss:0.707806 [38] validation_0-merror:0.3 validation_0-mlogloss:0.708458 [39] validation_0-merror:0.3 validation_0-mlogloss:0.707369 [40] validation_0-merror:0.3 validation_0-mlogloss:0.706451 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.705812 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.703609 [43] validation_0-merror:0.3 validation_0-mlogloss:0.700824 [44] validation_0-merror:0.3 validation_0-mlogloss:0.70058 [45] validation_0-merror:0.3 validation_0-mlogloss:0.699564 [46] validation_0-merror:0.3 validation_0-mlogloss:0.699455 [47] validation_0-merror:0.3 validation_0-mlogloss:0.697432 [48] validation_0-merror:0.3 validation_0-mlogloss:0.698229 [49] validation_0-merror:0.3 validation_0-mlogloss:0.69758 [50] validation_0-merror:0.3 validation_0-mlogloss:0.696979 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.698062 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.69821 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.699796 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.700467 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.701263 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.696979 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05017 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01767 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980307 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.954759 [4] validation_0-merror:0.4 validation_0-mlogloss:0.928215 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.908073 [6] validation_0-merror:0.4 validation_0-mlogloss:0.892153 [7] validation_0-merror:0.45 validation_0-mlogloss:0.874934 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.862767 [9] validation_0-merror:0.4 validation_0-mlogloss:0.852901 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839248 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825106 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819048 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.81322 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807144 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.795431 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.790864 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.788489 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78921 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785092 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.782875 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.780147 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.778925 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.778495 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777271 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.777165 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.777186 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.778533 [28] validation_0-merror:0.4 validation_0-mlogloss:0.77889 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.780765 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.784996 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.777165 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06067 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02291 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.987035 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960654 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929692 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910472 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888935 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873507 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854692 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847568 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.835999 [11] validation_0-merror:0.3 validation_0-mlogloss:0.829507 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819005 [13] validation_0-merror:0.3 validation_0-mlogloss:0.815886 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803404 [15] validation_0-merror:0.3 validation_0-mlogloss:0.801937 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.792838 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.785381 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.781958 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.779906 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.779837 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.777622 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.77082 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.76498 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.758306 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.755817 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.753344 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.749523 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746465 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.744332 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.744534 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.742402 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.743032 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.741691 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.736272 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.735769 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.73341 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.731234 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.729584 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.728125 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.728338 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.726953 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.726673 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.726604 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.730625 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.735412 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.735383 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.737773 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.737151 Stopping. Best iteration: [43] validation_0-merror:0.283333 validation_0-mlogloss:0.726604 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971207 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95135 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931461 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.9129 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895545 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875897 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.853703 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.844145 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831973 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.819382 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.806722 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796189 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788856 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778114 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769657 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766211 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765057 [20] validation_0-merror:0.3 validation_0-mlogloss:0.755654 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75042 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746303 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.740379 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.731161 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.729181 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726887 [27] validation_0-merror:0.3 validation_0-mlogloss:0.725391 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.721823 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.717482 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.713455 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709359 [32] validation_0-merror:0.3 validation_0-mlogloss:0.707713 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705128 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708137 [35] validation_0-merror:0.3 validation_0-mlogloss:0.710365 [36] validation_0-merror:0.3 validation_0-mlogloss:0.709718 [37] validation_0-merror:0.3 validation_0-mlogloss:0.708119 [38] validation_0-merror:0.3 validation_0-mlogloss:0.709455 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.705128 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0249 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987611 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959339 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929532 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907406 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885331 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864722 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845248 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828339 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811837 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801448 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.792877 [13] validation_0-merror:0.35 validation_0-mlogloss:0.784166 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.782403 [15] validation_0-merror:0.35 validation_0-mlogloss:0.774951 [16] validation_0-merror:0.35 validation_0-mlogloss:0.771328 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761313 [18] validation_0-merror:0.35 validation_0-mlogloss:0.759929 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.754781 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751012 [21] validation_0-merror:0.35 validation_0-mlogloss:0.746001 [22] validation_0-merror:0.35 validation_0-mlogloss:0.74624 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.747183 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.74871 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.74712 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.745554 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.744161 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.740024 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739707 [30] validation_0-merror:0.4 validation_0-mlogloss:0.740174 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73781 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737944 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.737636 [34] validation_0-merror:0.4 validation_0-mlogloss:0.740082 [35] validation_0-merror:0.4 validation_0-mlogloss:0.742149 [36] validation_0-merror:0.4 validation_0-mlogloss:0.742419 [37] validation_0-merror:0.4 validation_0-mlogloss:0.74574 [38] validation_0-merror:0.4 validation_0-mlogloss:0.743469 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.737636 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06312 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02519 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989513 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970495 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949001 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926316 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885714 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865751 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851438 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832294 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822262 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811503 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79773 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786381 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785305 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777184 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76707 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760144 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755833 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753241 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74577 [22] validation_0-merror:0.35 validation_0-mlogloss:0.745996 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.738786 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.735999 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738911 [26] validation_0-merror:0.35 validation_0-mlogloss:0.736703 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.731244 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.727186 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.727236 [30] validation_0-merror:0.35 validation_0-mlogloss:0.72452 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.72044 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.718698 [33] validation_0-merror:0.35 validation_0-mlogloss:0.720429 [34] validation_0-merror:0.35 validation_0-mlogloss:0.718133 [35] validation_0-merror:0.35 validation_0-mlogloss:0.724586 [36] validation_0-merror:0.35 validation_0-mlogloss:0.722203 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.721382 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.720414 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.721963 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.718133 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05134 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02406 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996428 [3] validation_0-merror:0.35 validation_0-mlogloss:0.961192 [4] validation_0-merror:0.35 validation_0-mlogloss:0.937052 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913705 [6] validation_0-merror:0.35 validation_0-mlogloss:0.898103 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880239 [8] validation_0-merror:0.35 validation_0-mlogloss:0.864227 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847198 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835818 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820502 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811507 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.804789 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.793027 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781407 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773995 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765483 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76315 [19] validation_0-merror:0.3 validation_0-mlogloss:0.761758 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753611 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74927 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739915 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738069 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734081 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727995 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.72533 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727162 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729015 [29] validation_0-merror:0.3 validation_0-mlogloss:0.728241 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724554 [31] validation_0-merror:0.3 validation_0-mlogloss:0.719183 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713636 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711962 [34] validation_0-merror:0.3 validation_0-mlogloss:0.710824 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705727 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70494 [37] validation_0-merror:0.3 validation_0-mlogloss:0.703175 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704495 [39] validation_0-merror:0.3 validation_0-mlogloss:0.703586 [40] validation_0-merror:0.3 validation_0-mlogloss:0.70439 [41] validation_0-merror:0.3 validation_0-mlogloss:0.699918 [42] validation_0-merror:0.3 validation_0-mlogloss:0.698961 [43] validation_0-merror:0.3 validation_0-mlogloss:0.698742 [44] validation_0-merror:0.3 validation_0-mlogloss:0.698019 [45] validation_0-merror:0.3 validation_0-mlogloss:0.698359 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.698953 [47] validation_0-merror:0.3 validation_0-mlogloss:0.696923 [48] validation_0-merror:0.3 validation_0-mlogloss:0.693502 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692754 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693401 [51] validation_0-merror:0.3 validation_0-mlogloss:0.693509 [52] validation_0-merror:0.3 validation_0-mlogloss:0.692585 [53] validation_0-merror:0.3 validation_0-mlogloss:0.693449 [54] validation_0-merror:0.3 validation_0-mlogloss:0.692079 [55] validation_0-merror:0.3 validation_0-mlogloss:0.691195 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.691398 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.69231 [58] validation_0-merror:0.3 validation_0-mlogloss:0.695111 [59] validation_0-merror:0.3 validation_0-mlogloss:0.692945 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.692711 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.691195 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01816 [2] validation_0-merror:0.3 validation_0-mlogloss:0.987606 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955947 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927967 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907543 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892226 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.869953 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851895 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834713 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822091 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814598 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802645 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79394 [14] validation_0-merror:0.35 validation_0-mlogloss:0.789023 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782167 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777531 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773101 [18] validation_0-merror:0.35 validation_0-mlogloss:0.767316 [19] validation_0-merror:0.35 validation_0-mlogloss:0.761441 [20] validation_0-merror:0.35 validation_0-mlogloss:0.752422 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.748825 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.745558 [23] validation_0-merror:0.35 validation_0-mlogloss:0.743826 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743568 [25] validation_0-merror:0.35 validation_0-mlogloss:0.740411 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.735692 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.731626 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.731754 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.732039 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.733326 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.733992 [32] validation_0-merror:0.4 validation_0-mlogloss:0.734276 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.731626 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994427 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.970445 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.948946 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.928521 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.907333 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892451 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.873105 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.861127 [10] validation_0-merror:0.3 validation_0-mlogloss:0.8474 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.835865 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.824163 [13] validation_0-merror:0.25 validation_0-mlogloss:0.814838 [14] validation_0-merror:0.25 validation_0-mlogloss:0.804448 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798298 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.792172 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.783096 [18] validation_0-merror:0.3 validation_0-mlogloss:0.778725 [19] validation_0-merror:0.3 validation_0-mlogloss:0.772997 [20] validation_0-merror:0.3 validation_0-mlogloss:0.766892 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765416 [22] validation_0-merror:0.3 validation_0-mlogloss:0.759334 [23] validation_0-merror:0.3 validation_0-mlogloss:0.750309 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.750606 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7504 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.746805 [27] validation_0-merror:0.3 validation_0-mlogloss:0.743776 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.737547 [29] validation_0-merror:0.3 validation_0-mlogloss:0.739925 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.740522 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.734394 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.731598 [33] validation_0-merror:0.3 validation_0-mlogloss:0.731426 [34] validation_0-merror:0.3 validation_0-mlogloss:0.72672 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731612 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.727875 [37] validation_0-merror:0.3 validation_0-mlogloss:0.726198 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.725775 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.727988 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.724782 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.7237 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.721962 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.721925 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.725486 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.722134 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.722445 [47] validation_0-merror:0.3 validation_0-mlogloss:0.723125 [48] validation_0-merror:0.3 validation_0-mlogloss:0.725226 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.721925 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05772 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02239 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.988036 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957902 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933336 [5] validation_0-merror:0.35 validation_0-mlogloss:0.910304 [6] validation_0-merror:0.35 validation_0-mlogloss:0.891664 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873582 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.855479 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841872 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834418 [11] validation_0-merror:0.3 validation_0-mlogloss:0.815616 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802203 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.789908 [14] validation_0-merror:0.3 validation_0-mlogloss:0.780584 [15] validation_0-merror:0.3 validation_0-mlogloss:0.773495 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765466 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.758283 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752335 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746431 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740622 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735911 [22] validation_0-merror:0.3 validation_0-mlogloss:0.730086 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724459 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721798 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715608 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712985 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711194 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709352 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706153 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705943 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703694 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705193 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701539 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700419 [35] validation_0-merror:0.3 validation_0-mlogloss:0.699427 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697641 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694926 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695202 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.694439 [40] validation_0-merror:0.3 validation_0-mlogloss:0.69432 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.695313 [42] validation_0-merror:0.3 validation_0-mlogloss:0.695446 [43] validation_0-merror:0.3 validation_0-mlogloss:0.697102 [44] validation_0-merror:0.3 validation_0-mlogloss:0.699786 [45] validation_0-merror:0.3 validation_0-mlogloss:0.699623 Stopping. Best iteration: [40] validation_0-merror:0.3 validation_0-mlogloss:0.69432 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01709 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978872 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.951883 [4] validation_0-merror:0.35 validation_0-mlogloss:0.924097 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.900426 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881892 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864111 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850703 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.839277 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827393 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.813287 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.807173 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800199 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.792679 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783256 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779813 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77603 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.774653 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773651 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769507 [21] validation_0-merror:0.4 validation_0-mlogloss:0.768139 [22] validation_0-merror:0.4 validation_0-mlogloss:0.767722 [23] validation_0-merror:0.4 validation_0-mlogloss:0.765916 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.762026 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761795 [26] validation_0-merror:0.4 validation_0-mlogloss:0.762115 [27] validation_0-merror:0.4 validation_0-mlogloss:0.761819 [28] validation_0-merror:0.4 validation_0-mlogloss:0.760688 [29] validation_0-merror:0.4 validation_0-mlogloss:0.761427 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.765586 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.763899 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.765145 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.764818 Stopping. Best iteration: [28] validation_0-merror:0.4 validation_0-mlogloss:0.760688 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06331 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02593 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.990389 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.958656 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.929176 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907215 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.8834 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866978 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849938 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840378 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832488 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.824051 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812603 [13] validation_0-merror:0.3 validation_0-mlogloss:0.808321 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796943 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790453 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781175 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.771015 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769614 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.764535 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.759208 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.754145 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.749439 [23] validation_0-merror:0.3 validation_0-mlogloss:0.745017 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738823 [25] validation_0-merror:0.3 validation_0-mlogloss:0.735045 [26] validation_0-merror:0.3 validation_0-mlogloss:0.734046 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.7318 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.726304 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.723379 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.72059 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.721729 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720745 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715974 [34] validation_0-merror:0.25 validation_0-mlogloss:0.716517 [35] validation_0-merror:0.25 validation_0-mlogloss:0.717267 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.718228 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.715949 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.717025 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.718712 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.718114 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.716013 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.713817 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.712731 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.712478 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.712164 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.710358 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.710244 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.708805 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.708448 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.708346 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.706858 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.704791 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.704617 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.706901 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.709204 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.710026 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.709054 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.709804 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.704617 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02378 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99292 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95868 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936184 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910128 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890493 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871423 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854464 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837398 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828551 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814792 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802513 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791308 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.77889 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769938 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.757687 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751833 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.747645 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744708 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737396 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731598 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.722942 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7138 [24] validation_0-merror:0.3 validation_0-mlogloss:0.70597 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.701874 [26] validation_0-merror:0.3 validation_0-mlogloss:0.696321 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698058 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69475 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.682834 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.677193 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.674823 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.671595 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.666926 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.669174 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671961 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671861 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669016 [38] validation_0-merror:0.3 validation_0-mlogloss:0.669669 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.666926 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984713 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958783 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926765 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905215 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882793 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868471 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847057 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829647 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818872 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804783 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793698 [13] validation_0-merror:0.35 validation_0-mlogloss:0.783715 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778729 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767823 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763903 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757629 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.754503 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754573 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754123 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753243 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754935 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755048 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.758327 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757648 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756265 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753243 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05482 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.978909 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955248 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923517 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905717 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886397 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873629 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853426 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842206 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826489 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820114 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805294 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798013 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787103 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790428 [16] validation_0-merror:0.3 validation_0-mlogloss:0.782582 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780279 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775301 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77331 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773998 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776189 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.776205 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769758 [24] validation_0-merror:0.35 validation_0-mlogloss:0.768934 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773409 [26] validation_0-merror:0.35 validation_0-mlogloss:0.772446 [27] validation_0-merror:0.35 validation_0-mlogloss:0.772637 [28] validation_0-merror:0.35 validation_0-mlogloss:0.770243 [29] validation_0-merror:0.35 validation_0-mlogloss:0.76702 [30] validation_0-merror:0.35 validation_0-mlogloss:0.764749 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761607 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759582 [33] validation_0-merror:0.35 validation_0-mlogloss:0.761417 [34] validation_0-merror:0.35 validation_0-mlogloss:0.762482 [35] validation_0-merror:0.35 validation_0-mlogloss:0.769312 [36] validation_0-merror:0.35 validation_0-mlogloss:0.765296 [37] validation_0-merror:0.35 validation_0-mlogloss:0.759113 [38] validation_0-merror:0.35 validation_0-mlogloss:0.762126 [39] validation_0-merror:0.35 validation_0-mlogloss:0.765147 [40] validation_0-merror:0.35 validation_0-mlogloss:0.772873 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.76977 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.767196 Stopping. Best iteration: [37] validation_0-merror:0.35 validation_0-mlogloss:0.759113 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04425 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00656 [2] validation_0-merror:0.3 validation_0-mlogloss:0.977238 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.939347 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.917272 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.889037 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.866394 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.844449 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.825515 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.81087 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.799167 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.786526 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.773256 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.76024 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.753443 [15] validation_0-merror:0.3 validation_0-mlogloss:0.743825 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.736239 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.727581 [18] validation_0-merror:0.3 validation_0-mlogloss:0.724792 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.722223 [20] validation_0-merror:0.3 validation_0-mlogloss:0.717003 [21] validation_0-merror:0.3 validation_0-mlogloss:0.713255 [22] validation_0-merror:0.3 validation_0-mlogloss:0.708064 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.70366 [24] validation_0-merror:0.25 validation_0-mlogloss:0.697764 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.691992 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.688014 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.691394 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690485 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689514 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689429 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684416 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.679727 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.67862 [34] validation_0-merror:0.25 validation_0-mlogloss:0.677394 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.679248 [36] validation_0-merror:0.25 validation_0-mlogloss:0.676605 [37] validation_0-merror:0.25 validation_0-mlogloss:0.677615 [38] validation_0-merror:0.25 validation_0-mlogloss:0.676507 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.675578 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.678916 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.679795 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.680749 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.680396 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.67678 Stopping. Best iteration: [39] validation_0-merror:0.266667 validation_0-mlogloss:0.675578 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05234 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00515 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974201 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9443 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.913464 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.883083 [6] validation_0-merror:0.3 validation_0-mlogloss:0.863436 [7] validation_0-merror:0.3 validation_0-mlogloss:0.845651 [8] validation_0-merror:0.3 validation_0-mlogloss:0.825532 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.814468 [10] validation_0-merror:0.3 validation_0-mlogloss:0.806039 [11] validation_0-merror:0.3 validation_0-mlogloss:0.799064 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.790305 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784805 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77857 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772221 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770341 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767008 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762275 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756494 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750715 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749654 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748335 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748299 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.752305 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752139 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.751757 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.750865 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.75178 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748299 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04902 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985291 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962395 [4] validation_0-merror:0.3 validation_0-mlogloss:0.933078 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912582 [6] validation_0-merror:0.3 validation_0-mlogloss:0.889493 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.880015 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.861597 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.849184 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.841847 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83477 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819773 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.810236 [14] validation_0-merror:0.25 validation_0-mlogloss:0.798686 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.794962 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.790133 [17] validation_0-merror:0.3 validation_0-mlogloss:0.784306 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780191 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773646 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773293 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774549 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773911 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.770492 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766371 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.768563 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.769346 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770699 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.765786 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.759244 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.757912 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.761826 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.760152 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.766075 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.765015 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.772601 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.757912 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04971 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0093 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975084 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941345 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.910567 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.884554 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.863816 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.843381 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.826844 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.816322 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.805863 [11] validation_0-merror:0.25 validation_0-mlogloss:0.785305 [12] validation_0-merror:0.25 validation_0-mlogloss:0.774576 [13] validation_0-merror:0.25 validation_0-mlogloss:0.761179 [14] validation_0-merror:0.25 validation_0-mlogloss:0.752885 [15] validation_0-merror:0.25 validation_0-mlogloss:0.743654 [16] validation_0-merror:0.25 validation_0-mlogloss:0.733366 [17] validation_0-merror:0.25 validation_0-mlogloss:0.72772 [18] validation_0-merror:0.25 validation_0-mlogloss:0.725025 [19] validation_0-merror:0.25 validation_0-mlogloss:0.716673 [20] validation_0-merror:0.25 validation_0-mlogloss:0.712017 [21] validation_0-merror:0.25 validation_0-mlogloss:0.707498 [22] validation_0-merror:0.25 validation_0-mlogloss:0.707794 [23] validation_0-merror:0.25 validation_0-mlogloss:0.707664 [24] validation_0-merror:0.25 validation_0-mlogloss:0.703841 [25] validation_0-merror:0.25 validation_0-mlogloss:0.702869 [26] validation_0-merror:0.25 validation_0-mlogloss:0.701536 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.698763 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.696598 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.693666 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.691296 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.690007 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.689907 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.689999 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.690962 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.690321 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.691752 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.693121 Stopping. Best iteration: [32] validation_0-merror:0.233333 validation_0-mlogloss:0.689907 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02062 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.984057 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955185 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925773 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897966 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879817 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859683 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.844081 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.836291 [10] validation_0-merror:0.3 validation_0-mlogloss:0.828791 [11] validation_0-merror:0.3 validation_0-mlogloss:0.820956 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814473 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811858 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806943 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798193 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.790116 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.784437 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790372 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.785823 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781195 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.779863 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.782302 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.785022 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.782427 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785156 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.79064 Stopping. Best iteration: [21] validation_0-merror:0.316667 validation_0-mlogloss:0.779863 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06215 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01937 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981327 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957021 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931607 [5] validation_0-merror:0.35 validation_0-mlogloss:0.904401 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880754 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869175 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854808 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846255 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837412 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833173 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827011 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.824953 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81774 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.81704 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.813064 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.809924 [18] validation_0-merror:0.35 validation_0-mlogloss:0.812745 [19] validation_0-merror:0.35 validation_0-mlogloss:0.814546 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.818263 [21] validation_0-merror:0.35 validation_0-mlogloss:0.817147 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.816111 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.809924 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05491 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01549 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.984975 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952559 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929134 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905088 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887502 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863409 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.844243 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830874 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.822676 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813014 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801363 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788335 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.775665 [15] validation_0-merror:0.3 validation_0-mlogloss:0.767689 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.761463 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752877 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750523 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74924 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.739048 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732596 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.724861 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.716379 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.708508 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.704103 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.695731 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698934 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699957 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695004 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690619 [31] validation_0-merror:0.3 validation_0-mlogloss:0.687722 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689052 [33] validation_0-merror:0.3 validation_0-mlogloss:0.689237 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691515 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693274 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693658 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.687722 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.988943 [3] validation_0-merror:0.35 validation_0-mlogloss:0.962849 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931837 [5] validation_0-merror:0.35 validation_0-mlogloss:0.90839 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885927 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871925 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851226 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835287 [10] validation_0-merror:0.35 validation_0-mlogloss:0.819641 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807981 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.800294 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.793531 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.79085 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.781583 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779838 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.774725 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.772594 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.771268 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771765 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76934 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.772279 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.773533 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772505 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.769164 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766492 [27] validation_0-merror:0.35 validation_0-mlogloss:0.76496 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767093 [29] validation_0-merror:0.35 validation_0-mlogloss:0.765919 [30] validation_0-merror:0.35 validation_0-mlogloss:0.767539 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.766799 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767774 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.76496 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01162 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.976998 [3] validation_0-merror:0.25 validation_0-mlogloss:0.961923 [4] validation_0-merror:0.25 validation_0-mlogloss:0.934048 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915059 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.894639 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.882571 [8] validation_0-merror:0.3 validation_0-mlogloss:0.859938 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.847659 [10] validation_0-merror:0.25 validation_0-mlogloss:0.832952 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.823426 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813478 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.797148 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.785618 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786251 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775852 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765351 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758707 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751994 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749391 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747284 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.744175 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736065 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.728935 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.732815 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732798 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731194 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728593 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727234 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.724645 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721996 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.717784 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.721261 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723834 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.729675 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.726071 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.722657 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.717784 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04567 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00931 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977623 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.941726 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924364 [5] validation_0-merror:0.3 validation_0-mlogloss:0.89693 [6] validation_0-merror:0.3 validation_0-mlogloss:0.876933 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.855 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.836189 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.818892 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.805196 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.793806 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.782272 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.773307 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.762531 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.753823 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.743347 [17] validation_0-merror:0.3 validation_0-mlogloss:0.734257 [18] validation_0-merror:0.3 validation_0-mlogloss:0.731428 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.732536 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.728126 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.724726 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.717685 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713959 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709489 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705709 [26] validation_0-merror:0.3 validation_0-mlogloss:0.700517 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700711 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.700194 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699593 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690781 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686939 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684378 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680827 [34] validation_0-merror:0.3 validation_0-mlogloss:0.682255 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679337 [36] validation_0-merror:0.3 validation_0-mlogloss:0.680374 [37] validation_0-merror:0.3 validation_0-mlogloss:0.683062 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683764 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685034 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68754 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.679337 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05036 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00914 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98057 [3] validation_0-merror:0.35 validation_0-mlogloss:0.946538 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.915812 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89071 [6] validation_0-merror:0.35 validation_0-mlogloss:0.875993 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857265 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8368 [9] validation_0-merror:0.35 validation_0-mlogloss:0.82318 [10] validation_0-merror:0.35 validation_0-mlogloss:0.814889 [11] validation_0-merror:0.35 validation_0-mlogloss:0.807126 [12] validation_0-merror:0.35 validation_0-mlogloss:0.79998 [13] validation_0-merror:0.35 validation_0-mlogloss:0.791037 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786867 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777182 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776096 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772397 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772686 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767378 [20] validation_0-merror:0.35 validation_0-mlogloss:0.764045 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762724 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759967 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761042 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765974 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763347 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761491 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.758582 [28] validation_0-merror:0.35 validation_0-mlogloss:0.758623 [29] validation_0-merror:0.35 validation_0-mlogloss:0.755505 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.760746 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.767808 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.766591 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.767854 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.767739 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.755505 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.981982 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958765 [4] validation_0-merror:0.35 validation_0-mlogloss:0.929676 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.912088 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.898404 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885212 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.867162 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86173 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85509 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841133 [12] validation_0-merror:0.3 validation_0-mlogloss:0.82761 [13] validation_0-merror:0.3 validation_0-mlogloss:0.819363 [14] validation_0-merror:0.3 validation_0-mlogloss:0.807564 [15] validation_0-merror:0.3 validation_0-mlogloss:0.807415 [16] validation_0-merror:0.3 validation_0-mlogloss:0.802672 [17] validation_0-merror:0.3 validation_0-mlogloss:0.794418 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.795387 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.789069 [20] validation_0-merror:0.35 validation_0-mlogloss:0.784992 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.784915 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.782967 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.781626 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.775392 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.773809 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.770138 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.772235 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.765832 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.761775 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.76125 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.764073 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.760419 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.765235 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.763017 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771182 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.770551 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.771646 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.760419 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05291 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01536 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977178 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.946279 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.91784 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89384 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.873373 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856491 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840948 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829693 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816758 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.800896 [12] validation_0-merror:0.3 validation_0-mlogloss:0.789208 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.776951 [14] validation_0-merror:0.3 validation_0-mlogloss:0.764833 [15] validation_0-merror:0.3 validation_0-mlogloss:0.757223 [16] validation_0-merror:0.3 validation_0-mlogloss:0.74884 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.745059 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.742113 [19] validation_0-merror:0.3 validation_0-mlogloss:0.740938 [20] validation_0-merror:0.3 validation_0-mlogloss:0.734773 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.730583 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728128 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.723299 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.71921 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.717644 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.713069 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.713321 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.712246 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.709013 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.710012 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.711428 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.711855 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.712737 [34] validation_0-merror:0.25 validation_0-mlogloss:0.715668 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.709013 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05472 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02184 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983691 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957572 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926831 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.902208 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.883041 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865791 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849911 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.834666 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821604 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808095 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.7999 [13] validation_0-merror:0.35 validation_0-mlogloss:0.79313 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786364 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.778281 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776665 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.77425 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775139 [19] validation_0-merror:0.35 validation_0-mlogloss:0.772642 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77299 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.770934 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771132 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769468 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766816 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76788 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.770504 [27] validation_0-merror:0.35 validation_0-mlogloss:0.776102 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.771994 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.774607 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766816 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05612 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02197 [2] validation_0-merror:0.4 validation_0-mlogloss:0.986186 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.958568 [4] validation_0-merror:0.35 validation_0-mlogloss:0.924465 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900498 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878957 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866662 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853809 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846859 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84087 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832264 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825896 [13] validation_0-merror:0.35 validation_0-mlogloss:0.817641 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809039 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805632 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.794213 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792017 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787894 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.788793 [20] validation_0-merror:0.35 validation_0-mlogloss:0.787298 [21] validation_0-merror:0.35 validation_0-mlogloss:0.784477 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.784065 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.783386 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.779356 [25] validation_0-merror:0.35 validation_0-mlogloss:0.774545 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.774849 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.777402 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.776814 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.772326 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.775609 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.776391 [32] validation_0-merror:0.35 validation_0-mlogloss:0.775252 [33] validation_0-merror:0.35 validation_0-mlogloss:0.772301 [34] validation_0-merror:0.35 validation_0-mlogloss:0.770896 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.774105 [36] validation_0-merror:0.3 validation_0-mlogloss:0.774998 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.77475 [38] validation_0-merror:0.35 validation_0-mlogloss:0.773001 [39] validation_0-merror:0.35 validation_0-mlogloss:0.77273 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.770896 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989029 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958247 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935376 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909662 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892104 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.872116 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856524 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844082 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836174 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826048 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815239 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806952 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797584 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786961 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779391 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768018 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.766216 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.762431 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.754315 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750684 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746094 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.736097 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.730563 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.729779 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725816 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.725361 [28] validation_0-merror:0.3 validation_0-mlogloss:0.724842 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719373 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.716419 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.713731 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.711702 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.710388 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.710779 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712448 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.71211 [37] validation_0-merror:0.3 validation_0-mlogloss:0.710813 [38] validation_0-merror:0.3 validation_0-mlogloss:0.712025 Stopping. Best iteration: [33] validation_0-merror:0.266667 validation_0-mlogloss:0.710388 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98671 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962475 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932657 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909917 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886987 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.866605 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85001 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829342 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814034 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804127 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798997 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.790856 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.785646 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780726 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777125 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.770197 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.769932 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.768873 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.763199 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.755895 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.755905 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.757074 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758134 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.75557 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754942 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751375 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.752435 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75276 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752972 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751939 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.748732 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747878 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.7502 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.755623 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74683 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749296 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.748699 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.746145 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.743867 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.745281 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.746291 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.744757 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.749673 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.752627 Stopping. Best iteration: [40] validation_0-merror:0.366667 validation_0-mlogloss:0.743867 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0188 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985376 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966249 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939198 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916045 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897493 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883855 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863687 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849854 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.830816 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.820922 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.804963 [13] validation_0-merror:0.3 validation_0-mlogloss:0.791504 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778668 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781563 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772264 [17] validation_0-merror:0.3 validation_0-mlogloss:0.762845 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757182 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750422 [20] validation_0-merror:0.3 validation_0-mlogloss:0.7427 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739701 [22] validation_0-merror:0.3 validation_0-mlogloss:0.737391 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731389 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728413 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.730743 [26] validation_0-merror:0.3 validation_0-mlogloss:0.73052 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727763 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726811 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724295 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719884 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.717787 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.712989 [33] validation_0-merror:0.3 validation_0-mlogloss:0.717267 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.717213 [35] validation_0-merror:0.3 validation_0-mlogloss:0.723789 [36] validation_0-merror:0.3 validation_0-mlogloss:0.724442 [37] validation_0-merror:0.3 validation_0-mlogloss:0.720147 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.712989 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04894 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.98553 [3] validation_0-merror:0.3 validation_0-mlogloss:0.950138 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930264 [5] validation_0-merror:0.3 validation_0-mlogloss:0.906649 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.889393 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868538 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850237 [9] validation_0-merror:0.3 validation_0-mlogloss:0.836063 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823198 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81159 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80042 [13] validation_0-merror:0.3 validation_0-mlogloss:0.792328 [14] validation_0-merror:0.3 validation_0-mlogloss:0.783364 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774982 [16] validation_0-merror:0.3 validation_0-mlogloss:0.764462 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757461 [18] validation_0-merror:0.3 validation_0-mlogloss:0.754608 [19] validation_0-merror:0.35 validation_0-mlogloss:0.755711 [20] validation_0-merror:0.35 validation_0-mlogloss:0.747979 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747426 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.741264 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738639 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.735333 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.733762 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.728528 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731105 [28] validation_0-merror:0.3 validation_0-mlogloss:0.7298 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.730373 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721839 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716283 [32] validation_0-merror:0.3 validation_0-mlogloss:0.712481 [33] validation_0-merror:0.3 validation_0-mlogloss:0.709917 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707943 [35] validation_0-merror:0.3 validation_0-mlogloss:0.703518 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701015 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701103 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702761 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.701841 [40] validation_0-merror:0.3 validation_0-mlogloss:0.704529 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702583 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.701015 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00545 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975299 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.9459 [4] validation_0-merror:0.35 validation_0-mlogloss:0.916225 [5] validation_0-merror:0.35 validation_0-mlogloss:0.890545 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.874675 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.854482 [8] validation_0-merror:0.35 validation_0-mlogloss:0.834216 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.820741 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813055 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805428 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793569 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788982 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786893 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780633 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779385 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776685 [18] validation_0-merror:0.35 validation_0-mlogloss:0.774056 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767712 [20] validation_0-merror:0.35 validation_0-mlogloss:0.763425 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762231 [22] validation_0-merror:0.35 validation_0-mlogloss:0.757899 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760586 [24] validation_0-merror:0.35 validation_0-mlogloss:0.762694 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760615 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759644 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755764 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754307 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752606 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.755674 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.761456 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.758474 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.762905 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.762266 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752606 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984228 [3] validation_0-merror:0.3 validation_0-mlogloss:0.95813 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.936995 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.91523 [6] validation_0-merror:0.25 validation_0-mlogloss:0.893949 [7] validation_0-merror:0.25 validation_0-mlogloss:0.879162 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.857479 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.846075 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.836245 [11] validation_0-merror:0.25 validation_0-mlogloss:0.822628 [12] validation_0-merror:0.25 validation_0-mlogloss:0.808846 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798621 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.789966 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.788581 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.785355 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78089 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779939 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775007 [20] validation_0-merror:0.3 validation_0-mlogloss:0.770988 [21] validation_0-merror:0.3 validation_0-mlogloss:0.77081 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765674 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.761975 [24] validation_0-merror:0.3 validation_0-mlogloss:0.757108 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755741 [26] validation_0-merror:0.3 validation_0-mlogloss:0.748784 [27] validation_0-merror:0.3 validation_0-mlogloss:0.749607 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.746294 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.746361 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.746198 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.743939 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.743056 [33] validation_0-merror:0.3 validation_0-mlogloss:0.744594 [34] validation_0-merror:0.3 validation_0-mlogloss:0.743745 [35] validation_0-merror:0.3 validation_0-mlogloss:0.749798 [36] validation_0-merror:0.3 validation_0-mlogloss:0.74801 [37] validation_0-merror:0.3 validation_0-mlogloss:0.74771 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.743056 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05208 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01414 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976083 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.943513 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.915534 [5] validation_0-merror:0.3 validation_0-mlogloss:0.888894 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.865943 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.84784 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.829642 [9] validation_0-merror:0.3 validation_0-mlogloss:0.81889 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.805706 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.788777 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.777548 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.768169 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.759092 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.752959 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.74363 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.73915 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.732073 [19] validation_0-merror:0.3 validation_0-mlogloss:0.724916 [20] validation_0-merror:0.3 validation_0-mlogloss:0.718492 [21] validation_0-merror:0.3 validation_0-mlogloss:0.71532 [22] validation_0-merror:0.3 validation_0-mlogloss:0.71663 [23] validation_0-merror:0.3 validation_0-mlogloss:0.710842 [24] validation_0-merror:0.3 validation_0-mlogloss:0.706258 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.703126 [26] validation_0-merror:0.25 validation_0-mlogloss:0.696201 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.692992 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.690331 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.686281 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.683811 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.68042 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.679531 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.677572 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.678546 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.681416 [36] validation_0-merror:0.25 validation_0-mlogloss:0.682938 [37] validation_0-merror:0.25 validation_0-mlogloss:0.682737 [38] validation_0-merror:0.25 validation_0-mlogloss:0.679 Stopping. Best iteration: [33] validation_0-merror:0.233333 validation_0-mlogloss:0.677572 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05451 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02057 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981535 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.955968 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929874 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.903952 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.883603 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865518 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852772 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843935 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830906 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816459 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805522 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794231 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791569 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78227 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.779674 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776612 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774676 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77208 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762906 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76131 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759437 [23] validation_0-merror:0.35 validation_0-mlogloss:0.75876 [24] validation_0-merror:0.35 validation_0-mlogloss:0.757657 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757388 [26] validation_0-merror:0.35 validation_0-mlogloss:0.757446 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760292 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.758929 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.764066 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.766232 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.757388 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02937 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994674 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967342 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939056 [5] validation_0-merror:0.4 validation_0-mlogloss:0.917703 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893707 [7] validation_0-merror:0.4 validation_0-mlogloss:0.873253 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853366 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848459 [10] validation_0-merror:0.35 validation_0-mlogloss:0.83362 [11] validation_0-merror:0.35 validation_0-mlogloss:0.818789 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804111 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.797843 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782165 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774755 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.765788 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.760536 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.758126 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.755419 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.755757 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.753477 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.749926 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.74427 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.741678 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.740937 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.738117 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.739635 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.737272 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.737856 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.739685 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.74334 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.740629 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.737893 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.737272 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.972111 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.949938 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.924434 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.906143 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889165 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873345 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852553 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843651 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.831168 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819066 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.8102 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798581 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790954 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782551 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773498 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76975 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766239 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757696 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747163 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74384 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736611 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739231 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73579 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735335 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.734757 [29] validation_0-merror:0.3 validation_0-mlogloss:0.730395 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728968 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726274 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726144 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724763 [35] validation_0-merror:0.35 validation_0-mlogloss:0.728794 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.731098 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.728193 [38] validation_0-merror:0.3 validation_0-mlogloss:0.728085 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02511 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986763 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.963344 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927918 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906739 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885326 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867289 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848706 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830465 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814779 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801895 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795329 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786732 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.780333 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.773374 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.769606 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.764044 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764457 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.760318 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.755764 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.752035 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.75457 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757341 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755341 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754464 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939957 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919973 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901757 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885443 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867589 [9] validation_0-merror:0.35 validation_0-mlogloss:0.855059 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838856 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827853 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81337 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798143 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78847 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788606 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780765 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771532 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76804 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762123 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756125 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750392 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748654 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738103 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74038 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739806 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73911 [29] validation_0-merror:0.35 validation_0-mlogloss:0.732854 [30] validation_0-merror:0.35 validation_0-mlogloss:0.731863 [31] validation_0-merror:0.35 validation_0-mlogloss:0.728742 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730418 [34] validation_0-merror:0.35 validation_0-mlogloss:0.73186 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739267 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738026 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734916 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01528 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989707 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953402 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930628 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904637 [6] validation_0-merror:0.3 validation_0-mlogloss:0.883611 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.868818 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857708 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.841842 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831011 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819743 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808778 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.791538 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784337 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778571 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77008 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767458 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76396 [20] validation_0-merror:0.3 validation_0-mlogloss:0.757797 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752618 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745466 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743096 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73581 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732432 [26] validation_0-merror:0.3 validation_0-mlogloss:0.725946 [27] validation_0-merror:0.3 validation_0-mlogloss:0.727552 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727876 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725908 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.720377 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716599 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711592 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.708547 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707074 [35] validation_0-merror:0.3 validation_0-mlogloss:0.703599 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.70192 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.69788 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699827 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.692055 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692797 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.689851 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.688448 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.688883 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.688417 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.688977 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690055 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.688051 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.68513 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.68448 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.685886 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.687919 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.682799 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.685844 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.683943 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.682766 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.6823 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.682566 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.684716 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.683811 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.681452 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.68184 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.68444 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.685634 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.687187 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.689602 Stopping. Best iteration: [60] validation_0-merror:0.266667 validation_0-mlogloss:0.681452 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0543 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01086 [2] validation_0-merror:0.35 validation_0-mlogloss:0.982437 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950106 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920514 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894341 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881087 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859466 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840149 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.825584 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81784 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813495 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801221 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795078 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791678 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781222 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776707 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.772189 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.769608 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763721 [20] validation_0-merror:0.35 validation_0-mlogloss:0.754269 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.755513 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753565 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755597 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755063 [25] validation_0-merror:0.35 validation_0-mlogloss:0.753653 [26] validation_0-merror:0.35 validation_0-mlogloss:0.751063 [27] validation_0-merror:0.35 validation_0-mlogloss:0.749738 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749296 [29] validation_0-merror:0.35 validation_0-mlogloss:0.74855 [30] validation_0-merror:0.35 validation_0-mlogloss:0.751186 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.749865 [32] validation_0-merror:0.35 validation_0-mlogloss:0.750693 [33] validation_0-merror:0.35 validation_0-mlogloss:0.751529 [34] validation_0-merror:0.35 validation_0-mlogloss:0.750278 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.74855 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01587 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985704 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958273 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93723 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.908902 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.890264 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.876714 [8] validation_0-merror:0.25 validation_0-mlogloss:0.857447 [9] validation_0-merror:0.25 validation_0-mlogloss:0.845017 [10] validation_0-merror:0.25 validation_0-mlogloss:0.830724 [11] validation_0-merror:0.25 validation_0-mlogloss:0.821311 [12] validation_0-merror:0.25 validation_0-mlogloss:0.809125 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798847 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.788469 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.783485 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.778544 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.769162 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768492 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762388 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.755307 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.755252 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753455 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.746017 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.745558 [25] validation_0-merror:0.3 validation_0-mlogloss:0.743221 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737497 [27] validation_0-merror:0.3 validation_0-mlogloss:0.735421 [28] validation_0-merror:0.3 validation_0-mlogloss:0.730386 [29] validation_0-merror:0.3 validation_0-mlogloss:0.731583 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.731833 [31] validation_0-merror:0.3 validation_0-mlogloss:0.725884 [32] validation_0-merror:0.3 validation_0-mlogloss:0.724125 [33] validation_0-merror:0.3 validation_0-mlogloss:0.728921 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725013 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72948 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.727958 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.726611 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.724125 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05785 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01958 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985628 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953603 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927887 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902447 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883052 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86513 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846479 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.835069 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823171 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805146 [12] validation_0-merror:0.3 validation_0-mlogloss:0.790678 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.77862 [14] validation_0-merror:0.3 validation_0-mlogloss:0.770601 [15] validation_0-merror:0.3 validation_0-mlogloss:0.763053 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756008 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749246 [18] validation_0-merror:0.3 validation_0-mlogloss:0.74623 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739636 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73556 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732764 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.727802 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724246 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720295 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714937 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712044 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712185 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.709724 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70675 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706206 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704063 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704926 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704789 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707325 [35] validation_0-merror:0.3 validation_0-mlogloss:0.706216 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705782 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.704063 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01655 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978992 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953172 [4] validation_0-merror:0.4 validation_0-mlogloss:0.928853 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.905836 [6] validation_0-merror:0.4 validation_0-mlogloss:0.886492 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.871106 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.860232 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851944 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.837901 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823204 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.812732 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.801498 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795412 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.793363 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.788473 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78466 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78554 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.78399 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.779352 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776497 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77557 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775493 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.769316 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.76923 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769391 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.769532 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.773467 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.773632 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.777803 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.76923 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06067 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02374 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.986113 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960703 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928821 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909602 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.889013 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868657 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851111 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844788 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835955 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.827771 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.8157 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.810229 [14] validation_0-merror:0.25 validation_0-mlogloss:0.796453 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.79724 [16] validation_0-merror:0.25 validation_0-mlogloss:0.79107 [17] validation_0-merror:0.25 validation_0-mlogloss:0.782337 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.785888 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.783342 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.779329 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.777319 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.77193 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.76349 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.759519 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.757156 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.754206 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.754871 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.751011 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.751385 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.750549 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.747258 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.747121 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.746644 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.744528 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.742595 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.74145 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.743734 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.744614 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.744788 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.743816 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.743093 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.74145 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971807 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951796 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93131 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912691 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.895445 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875849 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860685 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850902 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838718 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825931 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814731 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805065 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79596 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784674 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775873 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772434 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770076 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760708 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755768 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.751627 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747257 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.738173 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737185 [26] validation_0-merror:0.3 validation_0-mlogloss:0.734915 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734357 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729068 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72471 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721925 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718033 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715412 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712568 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.713254 [35] validation_0-merror:0.3 validation_0-mlogloss:0.715489 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714732 [37] validation_0-merror:0.3 validation_0-mlogloss:0.713467 [38] validation_0-merror:0.3 validation_0-mlogloss:0.716513 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712568 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0249 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987611 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.960292 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929328 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907264 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885279 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864711 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845336 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828783 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.8124 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802044 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794042 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.786266 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.784609 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777368 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773739 [17] validation_0-merror:0.35 validation_0-mlogloss:0.764485 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763097 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.758031 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751873 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747136 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747473 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.74857 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750202 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.748688 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.746752 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.745433 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.741276 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739451 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.739846 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73739 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737337 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.737392 [34] validation_0-merror:0.4 validation_0-mlogloss:0.739679 [35] validation_0-merror:0.4 validation_0-mlogloss:0.7418 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.742074 [37] validation_0-merror:0.4 validation_0-mlogloss:0.745689 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737337 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06312 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02519 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989513 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970495 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949001 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926316 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885714 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865751 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851438 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832294 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822262 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810694 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796942 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785614 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783681 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775591 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765501 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758603 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753777 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75108 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.742801 [22] validation_0-merror:0.35 validation_0-mlogloss:0.743044 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.735349 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.732476 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735408 [26] validation_0-merror:0.35 validation_0-mlogloss:0.733188 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.729929 [28] validation_0-merror:0.35 validation_0-mlogloss:0.725741 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.725771 [30] validation_0-merror:0.35 validation_0-mlogloss:0.722961 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718745 [32] validation_0-merror:0.35 validation_0-mlogloss:0.717005 [33] validation_0-merror:0.35 validation_0-mlogloss:0.718774 [34] validation_0-merror:0.35 validation_0-mlogloss:0.716504 [35] validation_0-merror:0.35 validation_0-mlogloss:0.722953 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.723953 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723171 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.721915 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.72363 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.716504 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02144 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991776 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956545 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932469 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907439 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890346 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873904 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857595 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840558 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830059 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815943 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804134 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797803 [14] validation_0-merror:0.3 validation_0-mlogloss:0.787077 [15] validation_0-merror:0.3 validation_0-mlogloss:0.777377 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.770562 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761518 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759096 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755984 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750875 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748723 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739705 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737964 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73363 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727145 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724498 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724954 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726633 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724166 [30] validation_0-merror:0.3 validation_0-mlogloss:0.72239 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717176 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711574 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.709825 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.708404 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703853 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704147 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.703275 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704741 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700943 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702228 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.696636 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696597 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.696238 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695437 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695762 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.696353 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.6931 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.689792 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.688602 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.688812 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.689699 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688912 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.691375 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.687788 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.687178 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.689213 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.688906 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.691664 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.691595 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.689501 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.687178 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01813 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988302 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957085 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929134 [5] validation_0-merror:0.3 validation_0-mlogloss:0.908955 [6] validation_0-merror:0.3 validation_0-mlogloss:0.893746 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871828 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853462 [9] validation_0-merror:0.35 validation_0-mlogloss:0.836381 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823814 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816238 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804061 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798564 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79537 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788058 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784826 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.781263 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776618 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.771935 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.762332 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758649 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752895 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.753603 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754172 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.75417 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.749987 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.74802 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748551 [29] validation_0-merror:0.4 validation_0-mlogloss:0.749005 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749987 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.747718 [32] validation_0-merror:0.4 validation_0-mlogloss:0.747782 [33] validation_0-merror:0.4 validation_0-mlogloss:0.748028 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.748511 [35] validation_0-merror:0.4 validation_0-mlogloss:0.750463 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.748944 Stopping. Best iteration: [31] validation_0-merror:0.383333 validation_0-mlogloss:0.747718 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995203 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971199 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949664 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.925888 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.906636 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.893884 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.873911 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.861981 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.850031 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.838812 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.827147 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.817644 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.806674 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.800145 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.794081 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.786243 [18] validation_0-merror:0.3 validation_0-mlogloss:0.781993 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778944 [20] validation_0-merror:0.3 validation_0-mlogloss:0.772698 [21] validation_0-merror:0.3 validation_0-mlogloss:0.772075 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766236 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.7568 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.753295 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754264 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750578 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747531 [28] validation_0-merror:0.3 validation_0-mlogloss:0.741358 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743365 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.745134 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738999 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.737072 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.736451 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732252 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.738095 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733414 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.731571 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731239 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.731676 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727967 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.726812 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.726328 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.726871 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.728404 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725648 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.725854 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.727494 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.728768 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.732762 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.730247 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725648 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02027 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985792 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955873 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930529 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.907135 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888814 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871186 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853071 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840368 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830204 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812492 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799046 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786151 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776056 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768972 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.760847 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752135 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746927 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.736463 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.726008 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.721753 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.718248 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.714742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.711582 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.705444 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703319 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.698022 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697029 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693745 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694164 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692147 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688795 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68539 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.687934 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.687286 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.686266 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687019 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.689235 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68539 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951762 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924931 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900093 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.881359 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.863634 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.851298 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.84045 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826775 [11] validation_0-merror:0.4 validation_0-mlogloss:0.815211 [12] validation_0-merror:0.4 validation_0-mlogloss:0.810736 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.803558 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797169 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791215 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790018 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786269 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779475 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.777363 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775219 [21] validation_0-merror:0.4 validation_0-mlogloss:0.772325 [22] validation_0-merror:0.4 validation_0-mlogloss:0.771709 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.770076 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764827 [25] validation_0-merror:0.4 validation_0-mlogloss:0.763704 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764392 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.766849 [28] validation_0-merror:0.4 validation_0-mlogloss:0.76962 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.768985 [30] validation_0-merror:0.4 validation_0-mlogloss:0.767606 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.763704 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06331 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02692 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991321 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959568 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.929181 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907468 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883927 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.867833 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850556 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840533 [10] validation_0-merror:0.3 validation_0-mlogloss:0.831527 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822277 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813721 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805836 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791809 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788837 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.779887 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.771567 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770444 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761247 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760477 [21] validation_0-merror:0.3 validation_0-mlogloss:0.760657 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755233 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748448 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739838 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738766 [26] validation_0-merror:0.3 validation_0-mlogloss:0.73663 [27] validation_0-merror:0.3 validation_0-mlogloss:0.733756 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.730096 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.727361 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726143 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.72611 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.725686 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721211 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.723807 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72667 [36] validation_0-merror:0.3 validation_0-mlogloss:0.729062 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.728956 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.726561 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721211 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06277 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02371 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992845 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957922 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935311 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908665 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889785 [7] validation_0-merror:0.3 validation_0-mlogloss:0.869286 [8] validation_0-merror:0.3 validation_0-mlogloss:0.851226 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.830829 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821139 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807575 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798147 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786117 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.774727 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768279 [16] validation_0-merror:0.35 validation_0-mlogloss:0.756378 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751214 [18] validation_0-merror:0.35 validation_0-mlogloss:0.748193 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.745665 [20] validation_0-merror:0.35 validation_0-mlogloss:0.739527 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.733596 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.726673 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.717439 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.711445 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706672 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.698006 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702798 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.699492 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.692549 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687713 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.684388 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.682736 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.678896 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.680455 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.680376 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.679879 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.677194 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.678127 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.675312 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.67687 [41] validation_0-merror:0.3 validation_0-mlogloss:0.672131 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.669065 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668633 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.668001 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.665483 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.668595 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.672569 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.674003 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.680212 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.680066 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.665483 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984713 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958006 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925385 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903899 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881577 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.866037 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84469 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828897 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818965 [11] validation_0-merror:0.35 validation_0-mlogloss:0.808312 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.799247 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.789961 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784211 [15] validation_0-merror:0.35 validation_0-mlogloss:0.773413 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.769881 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763935 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76217 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759948 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758021 [21] validation_0-merror:0.35 validation_0-mlogloss:0.757367 [22] validation_0-merror:0.35 validation_0-mlogloss:0.758847 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757832 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760345 [25] validation_0-merror:0.35 validation_0-mlogloss:0.76006 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.75883 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.757367 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01466 [2] validation_0-merror:0.3 validation_0-mlogloss:0.979497 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955838 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907423 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888145 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875302 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.854026 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841655 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.827746 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81875 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805797 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798053 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787255 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788098 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778511 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775612 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769994 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767484 [20] validation_0-merror:0.3 validation_0-mlogloss:0.771485 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771586 [22] validation_0-merror:0.3 validation_0-mlogloss:0.771801 [23] validation_0-merror:0.3 validation_0-mlogloss:0.764395 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763122 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.769677 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.769025 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.76877 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765825 [29] validation_0-merror:0.35 validation_0-mlogloss:0.762636 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.753086 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751411 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748109 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749929 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.751172 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.760007 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.756214 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.750872 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748109 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04283 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00701 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94734 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927023 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.898014 [6] validation_0-merror:0.35 validation_0-mlogloss:0.876401 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.853281 [8] validation_0-merror:0.3 validation_0-mlogloss:0.833371 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.818482 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.805942 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.793121 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.780715 [13] validation_0-merror:0.3 validation_0-mlogloss:0.769945 [14] validation_0-merror:0.3 validation_0-mlogloss:0.763423 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.754898 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.746826 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.741075 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.738287 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.737569 [20] validation_0-merror:0.3 validation_0-mlogloss:0.734739 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732266 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726868 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.718683 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.714576 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.715265 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.711121 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714697 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715102 [29] validation_0-merror:0.3 validation_0-mlogloss:0.715761 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712177 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70889 [32] validation_0-merror:0.3 validation_0-mlogloss:0.706664 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706333 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.708393 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.708734 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.708943 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.710884 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.710095 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706333 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05344 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00601 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979913 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944848 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916184 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.88546 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.86496 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.848393 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.82743 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.818149 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.80986 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805991 [12] validation_0-merror:0.35 validation_0-mlogloss:0.797503 [13] validation_0-merror:0.35 validation_0-mlogloss:0.791997 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786961 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78192 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782496 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780256 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.778195 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770821 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764259 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76372 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759764 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760428 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761914 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759539 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759424 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.758954 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75973 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.758899 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.756719 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.759299 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.76283 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.763986 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.767681 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.769134 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.756719 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04902 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985923 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963115 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933733 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.913521 [6] validation_0-merror:0.3 validation_0-mlogloss:0.895613 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886169 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870234 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858081 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850974 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838606 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.8232 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814745 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.803972 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.799886 [16] validation_0-merror:0.3 validation_0-mlogloss:0.794915 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.785693 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783589 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780432 [20] validation_0-merror:0.35 validation_0-mlogloss:0.783607 [21] validation_0-merror:0.35 validation_0-mlogloss:0.786123 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783042 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.780876 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.778873 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.780133 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.780284 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.781599 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.777134 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771361 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.770446 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772761 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770148 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.77365 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.774451 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.783993 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.779885 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.779314 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770148 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.051 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01111 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975099 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942135 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.914514 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.889441 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870834 [7] validation_0-merror:0.3 validation_0-mlogloss:0.849527 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834421 [9] validation_0-merror:0.3 validation_0-mlogloss:0.825261 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.815194 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.800555 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.787683 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.77518 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.766748 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.758938 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.752885 [17] validation_0-merror:0.3 validation_0-mlogloss:0.743629 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.738976 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.733877 [20] validation_0-merror:0.25 validation_0-mlogloss:0.730772 [21] validation_0-merror:0.25 validation_0-mlogloss:0.726322 [22] validation_0-merror:0.25 validation_0-mlogloss:0.725312 [23] validation_0-merror:0.25 validation_0-mlogloss:0.721844 [24] validation_0-merror:0.25 validation_0-mlogloss:0.718725 [25] validation_0-merror:0.25 validation_0-mlogloss:0.717876 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.717335 [27] validation_0-merror:0.25 validation_0-mlogloss:0.712433 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.710842 [29] validation_0-merror:0.25 validation_0-mlogloss:0.708665 [30] validation_0-merror:0.25 validation_0-mlogloss:0.706176 [31] validation_0-merror:0.25 validation_0-mlogloss:0.709818 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.710532 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.712457 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.712857 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.71258 Stopping. Best iteration: [30] validation_0-merror:0.25 validation_0-mlogloss:0.706176 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05758 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02199 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985892 [3] validation_0-merror:0.35 validation_0-mlogloss:0.960887 [4] validation_0-merror:0.35 validation_0-mlogloss:0.930479 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903953 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88637 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86383 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85005 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84204 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834872 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824786 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817786 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815091 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811133 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80832 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80405 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.798272 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.802701 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.804179 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.799901 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.798113 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.800984 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.801585 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.79987 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.803562 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.806918 Stopping. Best iteration: [21] validation_0-merror:0.316667 validation_0-mlogloss:0.798113 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06178 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02041 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.981772 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95488 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92973 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902445 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880788 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868077 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856307 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846303 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838125 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833494 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827407 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825344 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816711 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.816187 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812267 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.80818 [18] validation_0-merror:0.35 validation_0-mlogloss:0.810195 [19] validation_0-merror:0.35 validation_0-mlogloss:0.812408 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.816429 [21] validation_0-merror:0.35 validation_0-mlogloss:0.816804 [22] validation_0-merror:0.35 validation_0-mlogloss:0.817843 Stopping. Best iteration: [17] validation_0-merror:0.316667 validation_0-mlogloss:0.80818 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05491 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01549 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.984975 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952559 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929588 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904015 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.886457 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.862298 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.845604 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834931 [10] validation_0-merror:0.3 validation_0-mlogloss:0.825351 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815347 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805683 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800286 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786718 [15] validation_0-merror:0.3 validation_0-mlogloss:0.777469 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769046 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760213 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757983 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755739 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.745286 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741623 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732745 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724063 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716842 [25] validation_0-merror:0.3 validation_0-mlogloss:0.712814 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.704236 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705563 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705383 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698658 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.693779 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.689307 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.690423 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.690448 [34] validation_0-merror:0.3 validation_0-mlogloss:0.692468 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694496 [36] validation_0-merror:0.3 validation_0-mlogloss:0.694518 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.689307 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02599 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.988943 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963688 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932553 [5] validation_0-merror:0.35 validation_0-mlogloss:0.909094 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887369 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873278 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852568 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836611 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820898 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809243 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.801494 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.795026 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.789945 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.7821 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779469 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.774438 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.77285 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771592 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772247 [21] validation_0-merror:0.35 validation_0-mlogloss:0.771484 [22] validation_0-merror:0.35 validation_0-mlogloss:0.774633 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.775254 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.773915 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770504 [26] validation_0-merror:0.35 validation_0-mlogloss:0.767739 [27] validation_0-merror:0.35 validation_0-mlogloss:0.765947 [28] validation_0-merror:0.35 validation_0-mlogloss:0.768201 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766729 [30] validation_0-merror:0.35 validation_0-mlogloss:0.76743 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.767027 [32] validation_0-merror:0.35 validation_0-mlogloss:0.768181 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.765947 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01162 [2] validation_0-merror:0.233333 validation_0-mlogloss:0.976998 [3] validation_0-merror:0.25 validation_0-mlogloss:0.961923 [4] validation_0-merror:0.25 validation_0-mlogloss:0.934048 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916143 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895756 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883717 [8] validation_0-merror:0.3 validation_0-mlogloss:0.861654 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851829 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83591 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82601 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.811953 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.795865 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.787083 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.786191 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775486 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.765287 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758691 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.753387 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751295 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74927 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.747423 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738532 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733594 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738025 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.736035 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735271 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73415 [29] validation_0-merror:0.3 validation_0-mlogloss:0.733845 Stopping. Best iteration: [24] validation_0-merror:0.3 validation_0-mlogloss:0.733594 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01048 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.978723 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945479 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.926722 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903523 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884041 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861408 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.844509 [9] validation_0-merror:0.35 validation_0-mlogloss:0.825928 [10] validation_0-merror:0.35 validation_0-mlogloss:0.811551 [11] validation_0-merror:0.3 validation_0-mlogloss:0.799805 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.790453 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.780218 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.769355 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.760215 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.750981 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.741707 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.738704 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738435 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.733864 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.730636 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722005 [23] validation_0-merror:0.3 validation_0-mlogloss:0.716621 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710652 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.705008 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.701641 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.704717 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706257 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.707069 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.700592 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.69454 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.689053 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688847 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.688658 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.685594 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.68722 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.684673 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.685084 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.680136 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.681726 [41] validation_0-merror:0.25 validation_0-mlogloss:0.676596 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.675824 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.674595 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672531 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.671621 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.670729 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.667214 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.666848 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.668935 [50] validation_0-merror:0.25 validation_0-mlogloss:0.670097 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.672205 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.669314 [53] validation_0-merror:0.3 validation_0-mlogloss:0.670368 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.666848 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05024 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00901 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.981688 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949093 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918413 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894717 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.876849 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859195 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840057 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.824814 [10] validation_0-merror:0.35 validation_0-mlogloss:0.815125 [11] validation_0-merror:0.35 validation_0-mlogloss:0.807914 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799615 [13] validation_0-merror:0.35 validation_0-mlogloss:0.792793 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788336 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.778202 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77565 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772368 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767716 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763931 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763767 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759185 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759996 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76556 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761985 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759118 [27] validation_0-merror:0.35 validation_0-mlogloss:0.759895 [28] validation_0-merror:0.35 validation_0-mlogloss:0.7591 [29] validation_0-merror:0.35 validation_0-mlogloss:0.756601 [30] validation_0-merror:0.35 validation_0-mlogloss:0.760275 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765573 [32] validation_0-merror:0.35 validation_0-mlogloss:0.763384 [33] validation_0-merror:0.35 validation_0-mlogloss:0.767069 [34] validation_0-merror:0.35 validation_0-mlogloss:0.768646 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.756601 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.982293 [3] validation_0-merror:0.35 validation_0-mlogloss:0.959079 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927547 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.911382 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.887502 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874105 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.85673 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.848592 [10] validation_0-merror:0.3 validation_0-mlogloss:0.841846 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82795 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81514 [13] validation_0-merror:0.3 validation_0-mlogloss:0.806263 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795337 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.793347 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.788572 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77567 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776407 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772457 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773289 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771942 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.769198 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765236 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763105 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.764629 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761228 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763661 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.76044 [29] validation_0-merror:0.3 validation_0-mlogloss:0.757124 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.757286 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.760693 [32] validation_0-merror:0.3 validation_0-mlogloss:0.757129 [33] validation_0-merror:0.3 validation_0-mlogloss:0.76166 [34] validation_0-merror:0.3 validation_0-mlogloss:0.760404 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.757124 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01536 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.976401 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.949067 [4] validation_0-merror:0.3 validation_0-mlogloss:0.918769 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.896431 [6] validation_0-merror:0.3 validation_0-mlogloss:0.878231 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.86315 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849111 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841697 [10] validation_0-merror:0.35 validation_0-mlogloss:0.831032 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817176 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805028 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793733 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.782562 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773778 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765961 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761316 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.755607 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751282 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.74539 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741563 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742832 [23] validation_0-merror:0.3 validation_0-mlogloss:0.736092 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731601 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.73081 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726421 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724889 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.723525 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721786 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722936 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.723897 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723043 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.7227 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.719428 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71902 [36] validation_0-merror:0.3 validation_0-mlogloss:0.718669 [37] validation_0-merror:0.3 validation_0-mlogloss:0.717404 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716806 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716689 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.718331 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.719254 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.719169 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.719995 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.721565 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716689 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05421 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982511 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957334 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929241 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.902606 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.882217 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864863 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850556 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837785 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.82482 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811856 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805694 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797656 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790121 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779893 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777206 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773355 [18] validation_0-merror:0.35 validation_0-mlogloss:0.775906 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775104 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776177 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.775739 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.771547 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.770415 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.77077 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.774441 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.776543 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.781006 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778501 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.770415 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02225 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.98381 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953526 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.921695 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.897671 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.874702 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864106 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850629 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843915 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.832908 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821365 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810794 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805822 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794843 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788389 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780157 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77839 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776151 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771543 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.771942 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767959 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767477 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765292 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.76153 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.759118 [26] validation_0-merror:0.3 validation_0-mlogloss:0.758411 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.759483 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.759391 [29] validation_0-merror:0.3 validation_0-mlogloss:0.756871 [30] validation_0-merror:0.3 validation_0-mlogloss:0.759983 [31] validation_0-merror:0.3 validation_0-mlogloss:0.762794 [32] validation_0-merror:0.3 validation_0-mlogloss:0.760628 [33] validation_0-merror:0.3 validation_0-mlogloss:0.76009 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.760027 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.756871 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989029 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958247 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935376 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90912 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891546 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871647 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856107 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843631 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836542 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824839 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814061 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809342 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801877 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791358 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782596 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771446 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769639 [19] validation_0-merror:0.3 validation_0-mlogloss:0.764763 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754241 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750554 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745034 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.731724 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72544 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723935 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.719817 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719356 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718975 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713191 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710151 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705855 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.704523 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.702477 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702324 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.704485 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704768 [37] validation_0-merror:0.3 validation_0-mlogloss:0.7033 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704352 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.701282 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.704421 [41] validation_0-merror:0.3 validation_0-mlogloss:0.705098 [42] validation_0-merror:0.3 validation_0-mlogloss:0.701125 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.698036 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.698855 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.698613 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.701355 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697603 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.698672 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.702053 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.698392 [51] validation_0-merror:0.3 validation_0-mlogloss:0.70222 [52] validation_0-merror:0.3 validation_0-mlogloss:0.702209 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697603 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98671 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962132 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.933177 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910405 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887436 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.866997 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850341 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829575 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814225 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804262 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799116 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.79092 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.785714 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780778 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777126 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.773169 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.774472 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77312 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767712 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765927 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.765936 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766758 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.767542 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766397 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766089 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765927 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0188 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985376 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966249 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939198 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917146 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898598 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885612 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865267 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851511 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833511 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82215 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.807648 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794235 [14] validation_0-merror:0.3 validation_0-mlogloss:0.782082 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78494 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775512 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7652 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761875 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755619 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748202 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.745398 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.743196 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735728 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733676 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735824 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.73555 [27] validation_0-merror:0.35 validation_0-mlogloss:0.73167 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730675 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727009 [30] validation_0-merror:0.35 validation_0-mlogloss:0.723494 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718422 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713718 [33] validation_0-merror:0.3 validation_0-mlogloss:0.718093 [34] validation_0-merror:0.3 validation_0-mlogloss:0.716478 [35] validation_0-merror:0.3 validation_0-mlogloss:0.722932 [36] validation_0-merror:0.3 validation_0-mlogloss:0.723514 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.719093 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713718 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04918 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01144 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985454 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.950055 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930094 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.906873 [6] validation_0-merror:0.3 validation_0-mlogloss:0.888998 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.867725 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849382 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.835004 [10] validation_0-merror:0.3 validation_0-mlogloss:0.821872 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808852 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797647 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789753 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780624 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769956 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.7585 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.751513 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748251 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750019 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74248 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741956 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.735741 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730936 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.727678 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.722301 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716909 [27] validation_0-merror:0.3 validation_0-mlogloss:0.719415 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719134 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.717881 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714091 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.708587 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704882 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.701794 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699868 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.695444 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692994 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693176 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.695435 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.6945 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697185 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.695869 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.692994 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00504 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.974993 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.945596 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.915707 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889991 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.87237 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.852229 [8] validation_0-merror:0.35 validation_0-mlogloss:0.830944 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.817578 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.810034 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.803276 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.791684 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.78616 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784018 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77783 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776623 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773188 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769412 [19] validation_0-merror:0.35 validation_0-mlogloss:0.764976 [20] validation_0-merror:0.35 validation_0-mlogloss:0.757977 [21] validation_0-merror:0.35 validation_0-mlogloss:0.757913 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753667 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756381 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758537 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757762 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755642 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754305 Stopping. Best iteration: [22] validation_0-merror:0.35 validation_0-mlogloss:0.753667 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05648 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984228 [3] validation_0-merror:0.3 validation_0-mlogloss:0.95813 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.936995 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.91523 [6] validation_0-merror:0.25 validation_0-mlogloss:0.893587 [7] validation_0-merror:0.25 validation_0-mlogloss:0.878882 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.857249 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.845864 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.836052 [11] validation_0-merror:0.25 validation_0-mlogloss:0.822462 [12] validation_0-merror:0.25 validation_0-mlogloss:0.808698 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798481 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.789821 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.788434 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.785207 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780715 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.780158 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775226 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770638 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.770267 [22] validation_0-merror:0.3 validation_0-mlogloss:0.764765 [23] validation_0-merror:0.3 validation_0-mlogloss:0.76211 [24] validation_0-merror:0.3 validation_0-mlogloss:0.75715 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754501 [26] validation_0-merror:0.3 validation_0-mlogloss:0.747517 [27] validation_0-merror:0.3 validation_0-mlogloss:0.746824 [28] validation_0-merror:0.3 validation_0-mlogloss:0.743473 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.74331 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.742786 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734891 [32] validation_0-merror:0.3 validation_0-mlogloss:0.730611 [33] validation_0-merror:0.3 validation_0-mlogloss:0.73263 [34] validation_0-merror:0.3 validation_0-mlogloss:0.731927 [35] validation_0-merror:0.3 validation_0-mlogloss:0.738009 [36] validation_0-merror:0.3 validation_0-mlogloss:0.737402 [37] validation_0-merror:0.3 validation_0-mlogloss:0.73693 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.730611 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05235 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01388 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976042 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945168 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.91918 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.89236 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870381 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.852608 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.834453 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827013 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812318 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.794907 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.784447 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.772498 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.764274 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.757091 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.747946 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.740764 [18] validation_0-merror:0.3 validation_0-mlogloss:0.731171 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.723408 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.718158 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.715191 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.716024 [23] validation_0-merror:0.3 validation_0-mlogloss:0.715122 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711323 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709342 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.702116 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.698173 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.695983 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.693392 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.693064 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.689046 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.684668 [33] validation_0-merror:0.25 validation_0-mlogloss:0.683077 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.683907 [35] validation_0-merror:0.25 validation_0-mlogloss:0.683948 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.684701 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.684995 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.685011 Stopping. Best iteration: [33] validation_0-merror:0.25 validation_0-mlogloss:0.683077 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05427 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01838 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979935 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953497 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927081 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900798 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878686 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859048 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847065 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.83552 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821183 [11] validation_0-merror:0.35 validation_0-mlogloss:0.806471 [12] validation_0-merror:0.35 validation_0-mlogloss:0.80033 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.788882 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786451 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.776497 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.774676 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773066 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.766964 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.765039 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.758712 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.754856 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753797 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754621 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.753149 [25] validation_0-merror:0.35 validation_0-mlogloss:0.753264 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753046 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756041 [28] validation_0-merror:0.35 validation_0-mlogloss:0.75582 [29] validation_0-merror:0.35 validation_0-mlogloss:0.759698 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.763583 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.763811 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.753046 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06407 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02937 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994674 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967342 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939056 [5] validation_0-merror:0.4 validation_0-mlogloss:0.917703 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893707 [7] validation_0-merror:0.4 validation_0-mlogloss:0.873253 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852089 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.847166 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832337 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817561 [12] validation_0-merror:0.3 validation_0-mlogloss:0.802926 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.796702 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.779152 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.770799 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.760925 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.757513 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.754998 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.751422 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.751603 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.752557 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.750003 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.745651 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.740739 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.739094 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.738192 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.740728 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740147 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.741231 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.742664 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.74646 Stopping. Best iteration: [26] validation_0-merror:0.283333 validation_0-mlogloss:0.738192 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.972111 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.949938 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.924434 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.906143 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889165 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873345 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852553 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843651 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.831168 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819066 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.8102 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798581 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790954 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782551 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773498 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76975 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766239 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757696 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747163 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74384 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736611 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739231 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73579 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735335 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.734757 [29] validation_0-merror:0.3 validation_0-mlogloss:0.730395 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728968 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726274 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726144 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724763 [35] validation_0-merror:0.35 validation_0-mlogloss:0.728794 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.731098 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.728193 [38] validation_0-merror:0.3 validation_0-mlogloss:0.728085 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02511 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986763 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.963344 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927918 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906739 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885326 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867289 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848706 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830465 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814779 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801895 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795329 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786732 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.780333 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.773374 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.769606 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.764044 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764457 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.760318 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.755764 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.752035 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.75457 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757341 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755341 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754464 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939957 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919973 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901757 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885443 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867589 [9] validation_0-merror:0.35 validation_0-mlogloss:0.855059 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838856 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827853 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81337 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798143 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78847 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788606 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780765 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771532 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76804 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762123 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756125 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750392 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748654 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738103 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74038 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739806 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73911 [29] validation_0-merror:0.35 validation_0-mlogloss:0.732854 [30] validation_0-merror:0.35 validation_0-mlogloss:0.731863 [31] validation_0-merror:0.35 validation_0-mlogloss:0.728742 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730418 [34] validation_0-merror:0.35 validation_0-mlogloss:0.73186 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739267 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738026 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734916 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01528 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989707 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953202 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930394 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.904896 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883132 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.868301 [8] validation_0-merror:0.3 validation_0-mlogloss:0.85765 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840218 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83019 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819108 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807981 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798659 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789131 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781784 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775509 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767805 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766985 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76807 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.761768 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757033 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749192 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747183 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.742328 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738066 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733603 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734951 [28] validation_0-merror:0.3 validation_0-mlogloss:0.735129 [29] validation_0-merror:0.3 validation_0-mlogloss:0.734021 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730683 [31] validation_0-merror:0.3 validation_0-mlogloss:0.726823 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722581 [33] validation_0-merror:0.3 validation_0-mlogloss:0.719453 [34] validation_0-merror:0.3 validation_0-mlogloss:0.717868 [35] validation_0-merror:0.3 validation_0-mlogloss:0.714329 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.712348 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.709547 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.709949 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704857 [40] validation_0-merror:0.3 validation_0-mlogloss:0.705688 [41] validation_0-merror:0.3 validation_0-mlogloss:0.700821 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.698976 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.698638 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.698202 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.69924 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.699733 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.698453 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.69627 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.69491 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.695568 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.697676 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.694103 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.69674 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.693866 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.692875 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.694654 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.694831 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.697424 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.696553 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.698937 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.692875 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0543 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01086 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982609 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950266 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920459 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.894312 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881067 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859475 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840239 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.825697 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.817208 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811994 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799804 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793705 [14] validation_0-merror:0.35 validation_0-mlogloss:0.79033 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779926 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.775449 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773427 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.770944 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.765513 [20] validation_0-merror:0.35 validation_0-mlogloss:0.757419 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758009 [22] validation_0-merror:0.35 validation_0-mlogloss:0.755609 [23] validation_0-merror:0.35 validation_0-mlogloss:0.75885 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758325 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757786 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754496 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753142 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753871 [29] validation_0-merror:0.35 validation_0-mlogloss:0.756812 [30] validation_0-merror:0.35 validation_0-mlogloss:0.759554 [31] validation_0-merror:0.35 validation_0-mlogloss:0.758446 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759208 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.753142 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.266667 validation_0-mlogloss:1.01587 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.985704 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958273 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93723 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.908902 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.890264 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.876714 [8] validation_0-merror:0.25 validation_0-mlogloss:0.857447 [9] validation_0-merror:0.25 validation_0-mlogloss:0.845017 [10] validation_0-merror:0.25 validation_0-mlogloss:0.830724 [11] validation_0-merror:0.25 validation_0-mlogloss:0.821311 [12] validation_0-merror:0.25 validation_0-mlogloss:0.809125 [13] validation_0-merror:0.25 validation_0-mlogloss:0.798847 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.788469 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.783485 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.778544 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.769162 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.768492 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762388 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.756139 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.756059 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.754285 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.7469 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.746213 [25] validation_0-merror:0.3 validation_0-mlogloss:0.743863 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738126 [27] validation_0-merror:0.3 validation_0-mlogloss:0.736059 [28] validation_0-merror:0.3 validation_0-mlogloss:0.731065 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732221 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.732535 [31] validation_0-merror:0.3 validation_0-mlogloss:0.726183 [32] validation_0-merror:0.3 validation_0-mlogloss:0.724421 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729249 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.724062 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.728593 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728665 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.727818 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.727766 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.73071 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.724062 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05859 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02077 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985929 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954613 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930517 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906051 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88641 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867856 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850475 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84047 [10] validation_0-merror:0.3 validation_0-mlogloss:0.828541 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809499 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794497 [13] validation_0-merror:0.3 validation_0-mlogloss:0.782241 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.772759 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.764898 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756919 [17] validation_0-merror:0.3 validation_0-mlogloss:0.753786 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749805 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742683 [20] validation_0-merror:0.3 validation_0-mlogloss:0.737108 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732344 [22] validation_0-merror:0.3 validation_0-mlogloss:0.728572 [23] validation_0-merror:0.3 validation_0-mlogloss:0.725731 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721668 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718621 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.714853 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71498 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713385 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.710633 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710007 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.707959 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704856 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706515 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709345 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.708808 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.709047 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.7053 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704856 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05114 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01526 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.977876 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929824 [5] validation_0-merror:0.4 validation_0-mlogloss:0.906072 [6] validation_0-merror:0.433333 validation_0-mlogloss:0.889489 [7] validation_0-merror:0.433333 validation_0-mlogloss:0.872068 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.860063 [9] validation_0-merror:0.433333 validation_0-mlogloss:0.853071 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.839043 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827637 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.821434 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816188 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809436 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802473 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799237 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794433 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794099 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.793661 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.790872 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.789772 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.79186 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.790536 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.785589 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.787429 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.787616 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.788328 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.788583 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.790511 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.785589 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06067 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02374 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.986113 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.960703 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928821 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909602 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.889013 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868657 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851111 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844788 [10] validation_0-merror:0.3 validation_0-mlogloss:0.835955 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.827771 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.8157 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.810229 [14] validation_0-merror:0.25 validation_0-mlogloss:0.794636 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.795421 [16] validation_0-merror:0.25 validation_0-mlogloss:0.787328 [17] validation_0-merror:0.25 validation_0-mlogloss:0.778745 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.782315 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.779823 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.77581 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.773791 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.768444 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.76125 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.756925 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.752713 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.752182 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.750489 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746622 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.747015 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.744543 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.7448 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.743651 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.738475 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.735266 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.733519 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.730959 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.73124 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.732666 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.734414 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.733264 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.73384 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.730959 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05968 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03532 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00476 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971807 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951796 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93131 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912691 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.895445 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.875849 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860685 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850902 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.838718 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.825931 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814731 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805065 [15] validation_0-merror:0.3 validation_0-mlogloss:0.79596 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.784674 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775873 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772434 [19] validation_0-merror:0.3 validation_0-mlogloss:0.770076 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760708 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.755768 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.751627 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.747257 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.738173 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737185 [26] validation_0-merror:0.3 validation_0-mlogloss:0.734915 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734357 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.729068 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72471 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721925 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718033 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715412 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712568 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.713254 [35] validation_0-merror:0.3 validation_0-mlogloss:0.715489 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714732 [37] validation_0-merror:0.3 validation_0-mlogloss:0.713467 [38] validation_0-merror:0.3 validation_0-mlogloss:0.716513 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712568 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0249 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987611 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.960292 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929328 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907264 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885279 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864711 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845336 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828783 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.8124 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.802044 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794042 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.786266 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.784609 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.777368 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773739 [17] validation_0-merror:0.35 validation_0-mlogloss:0.764485 [18] validation_0-merror:0.35 validation_0-mlogloss:0.763097 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.758031 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751873 [21] validation_0-merror:0.35 validation_0-mlogloss:0.747136 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747473 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.74857 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750202 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.748688 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.746752 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.745433 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.741276 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739451 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.739846 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73739 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737337 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.737392 [34] validation_0-merror:0.4 validation_0-mlogloss:0.739679 [35] validation_0-merror:0.4 validation_0-mlogloss:0.7418 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.742074 [37] validation_0-merror:0.4 validation_0-mlogloss:0.745689 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737337 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06312 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02519 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989513 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970495 [4] validation_0-merror:0.35 validation_0-mlogloss:0.949001 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926316 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885714 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865751 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851438 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832294 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822262 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810694 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796942 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785614 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783681 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775591 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765501 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758603 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753777 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75108 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.742801 [22] validation_0-merror:0.35 validation_0-mlogloss:0.743044 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.735349 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.732476 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735408 [26] validation_0-merror:0.35 validation_0-mlogloss:0.733188 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.729929 [28] validation_0-merror:0.35 validation_0-mlogloss:0.725741 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.725771 [30] validation_0-merror:0.35 validation_0-mlogloss:0.722961 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718745 [32] validation_0-merror:0.35 validation_0-mlogloss:0.717005 [33] validation_0-merror:0.35 validation_0-mlogloss:0.718774 [34] validation_0-merror:0.35 validation_0-mlogloss:0.716504 [35] validation_0-merror:0.35 validation_0-mlogloss:0.722953 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.723953 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723171 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.721915 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.72363 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.716504 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04985 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02144 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991776 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956545 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932469 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907185 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890081 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87364 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857298 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.839601 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828288 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.814103 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80224 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79586 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78566 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776027 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769208 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761047 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758455 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755223 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750047 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745261 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736313 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734577 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730548 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724093 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721437 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.723557 [28] validation_0-merror:0.3 validation_0-mlogloss:0.722746 [29] validation_0-merror:0.3 validation_0-mlogloss:0.720251 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717747 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712482 [32] validation_0-merror:0.3 validation_0-mlogloss:0.7069 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706364 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.70535 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.700788 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698816 [37] validation_0-merror:0.3 validation_0-mlogloss:0.697862 [38] validation_0-merror:0.3 validation_0-mlogloss:0.700494 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699803 [40] validation_0-merror:0.3 validation_0-mlogloss:0.700418 [41] validation_0-merror:0.3 validation_0-mlogloss:0.695884 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69557 [43] validation_0-merror:0.3 validation_0-mlogloss:0.695326 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695542 [45] validation_0-merror:0.3 validation_0-mlogloss:0.695668 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.697222 [47] validation_0-merror:0.3 validation_0-mlogloss:0.695156 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691866 [49] validation_0-merror:0.3 validation_0-mlogloss:0.691031 [50] validation_0-merror:0.3 validation_0-mlogloss:0.691027 [51] validation_0-merror:0.3 validation_0-mlogloss:0.691596 [52] validation_0-merror:0.3 validation_0-mlogloss:0.690588 [53] validation_0-merror:0.3 validation_0-mlogloss:0.691175 [54] validation_0-merror:0.3 validation_0-mlogloss:0.688473 [55] validation_0-merror:0.3 validation_0-mlogloss:0.685994 [56] validation_0-merror:0.3 validation_0-mlogloss:0.687842 [57] validation_0-merror:0.3 validation_0-mlogloss:0.688634 [58] validation_0-merror:0.3 validation_0-mlogloss:0.691472 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.691787 [60] validation_0-merror:0.3 validation_0-mlogloss:0.689678 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.685994 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01813 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988302 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957085 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928006 [5] validation_0-merror:0.3 validation_0-mlogloss:0.907865 [6] validation_0-merror:0.3 validation_0-mlogloss:0.892957 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871005 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852583 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835474 [10] validation_0-merror:0.3 validation_0-mlogloss:0.822879 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815272 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803086 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797195 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794011 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786786 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.783544 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779934 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775282 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77057 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.760901 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.757199 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753046 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.753716 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754346 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.752865 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748115 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.745722 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745322 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745767 [30] validation_0-merror:0.4 validation_0-mlogloss:0.747208 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744962 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.745077 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.745268 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.745723 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.747645 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.746208 Stopping. Best iteration: [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744962 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05943 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995203 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971199 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949664 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.925888 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.906636 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.893884 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.873911 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.861981 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.850031 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.838812 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.827147 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.817644 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.806674 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.800145 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.794081 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.786243 [18] validation_0-merror:0.3 validation_0-mlogloss:0.781993 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778944 [20] validation_0-merror:0.3 validation_0-mlogloss:0.772698 [21] validation_0-merror:0.3 validation_0-mlogloss:0.772075 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766236 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.7568 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.753295 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754264 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750578 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747531 [28] validation_0-merror:0.3 validation_0-mlogloss:0.741358 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743365 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.745134 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738999 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.737072 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.736451 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732252 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.738095 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733414 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.731571 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731239 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.731676 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727967 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.726812 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.726328 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.726871 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.728404 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725648 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.725854 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.727494 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.728768 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.732762 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.730247 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725648 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02027 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985792 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955873 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930529 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.907135 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888814 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853714 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841586 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.827847 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813296 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799744 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786795 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778635 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769317 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.761066 [17] validation_0-merror:0.3 validation_0-mlogloss:0.752854 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74535 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.73858 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.730589 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.725835 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.720267 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.717338 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.713927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710212 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.708764 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706087 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704099 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701139 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701509 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.699351 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.698818 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.69646 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.698505 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.698103 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696552 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695997 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.696186 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694064 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.695986 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.697326 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.696262 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.697853 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.697981 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694064 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951762 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924931 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900093 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.881359 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.863634 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.851298 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.84045 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826775 [11] validation_0-merror:0.4 validation_0-mlogloss:0.81567 [12] validation_0-merror:0.4 validation_0-mlogloss:0.811179 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.804127 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797721 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.790904 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789604 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787758 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.784179 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782508 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781809 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778937 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.778293 [23] validation_0-merror:0.4 validation_0-mlogloss:0.776649 [24] validation_0-merror:0.4 validation_0-mlogloss:0.771062 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769976 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.772939 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.775368 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.776233 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.774838 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.776707 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769976 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06331 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02692 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991321 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959568 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.929181 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907468 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883927 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.867833 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850556 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840533 [10] validation_0-merror:0.3 validation_0-mlogloss:0.831527 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822277 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813721 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805836 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791236 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78846 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.78127 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.771957 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.770816 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761692 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.760918 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759157 [22] validation_0-merror:0.3 validation_0-mlogloss:0.75484 [23] validation_0-merror:0.3 validation_0-mlogloss:0.746285 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736169 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.733912 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.731779 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.729724 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.726559 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.723737 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.721019 [31] validation_0-merror:0.25 validation_0-mlogloss:0.720505 [32] validation_0-merror:0.25 validation_0-mlogloss:0.721058 [33] validation_0-merror:0.25 validation_0-mlogloss:0.718585 [34] validation_0-merror:0.25 validation_0-mlogloss:0.716566 [35] validation_0-merror:0.25 validation_0-mlogloss:0.719889 [36] validation_0-merror:0.25 validation_0-mlogloss:0.723456 [37] validation_0-merror:0.25 validation_0-mlogloss:0.723797 [38] validation_0-merror:0.25 validation_0-mlogloss:0.7221 [39] validation_0-merror:0.25 validation_0-mlogloss:0.722348 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.716566 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954955 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92778 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903801 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881898 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.86729 [8] validation_0-merror:0.3 validation_0-mlogloss:0.848709 [9] validation_0-merror:0.3 validation_0-mlogloss:0.832688 [10] validation_0-merror:0.3 validation_0-mlogloss:0.819784 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812843 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803379 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794934 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788347 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77565 [16] validation_0-merror:0.3 validation_0-mlogloss:0.766645 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760602 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.750466 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.743733 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.734548 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.728118 [22] validation_0-merror:0.3 validation_0-mlogloss:0.720385 [23] validation_0-merror:0.3 validation_0-mlogloss:0.71068 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.700314 [25] validation_0-merror:0.3 validation_0-mlogloss:0.693143 [26] validation_0-merror:0.3 validation_0-mlogloss:0.692897 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.687798 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.685388 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.682182 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.678045 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.677709 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.673045 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.674655 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.671854 [35] validation_0-merror:0.3 validation_0-mlogloss:0.668202 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.668291 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.670369 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667026 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.663935 [40] validation_0-merror:0.3 validation_0-mlogloss:0.656644 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.651084 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.651476 [43] validation_0-merror:0.3 validation_0-mlogloss:0.648932 [44] validation_0-merror:0.3 validation_0-mlogloss:0.645031 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.641754 [46] validation_0-merror:0.3 validation_0-mlogloss:0.640625 [47] validation_0-merror:0.3 validation_0-mlogloss:0.642249 [48] validation_0-merror:0.3 validation_0-mlogloss:0.639815 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.641268 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.642233 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.63815 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.633984 [53] validation_0-merror:0.3 validation_0-mlogloss:0.635002 [54] validation_0-merror:0.3 validation_0-mlogloss:0.639158 [55] validation_0-merror:0.3 validation_0-mlogloss:0.639899 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.638992 [57] validation_0-merror:0.3 validation_0-mlogloss:0.632181 [58] validation_0-merror:0.3 validation_0-mlogloss:0.636343 [59] validation_0-merror:0.3 validation_0-mlogloss:0.635047 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.637658 [61] validation_0-merror:0.3 validation_0-mlogloss:0.637786 [62] validation_0-merror:0.3 validation_0-mlogloss:0.640136 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.632181 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06318 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02868 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.99877 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968093 [4] validation_0-merror:0.45 validation_0-mlogloss:0.946749 [5] validation_0-merror:0.4 validation_0-mlogloss:0.927731 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.908218 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89338 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.881609 [9] validation_0-merror:0.4 validation_0-mlogloss:0.872131 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.861372 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.848272 [12] validation_0-merror:0.4 validation_0-mlogloss:0.84232 [13] validation_0-merror:0.4 validation_0-mlogloss:0.833107 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.819228 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.812368 [16] validation_0-merror:0.4 validation_0-mlogloss:0.805027 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79601 [18] validation_0-merror:0.4 validation_0-mlogloss:0.787622 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778124 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.773789 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.764588 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763541 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759184 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.756089 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762113 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755707 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751744 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.746436 [29] validation_0-merror:0.35 validation_0-mlogloss:0.738349 [30] validation_0-merror:0.35 validation_0-mlogloss:0.738659 [31] validation_0-merror:0.35 validation_0-mlogloss:0.734118 [32] validation_0-merror:0.35 validation_0-mlogloss:0.728748 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.728503 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.722584 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.72463 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.72463 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.724464 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.733025 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.733711 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.722584 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02765 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996339 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864545 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847237 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834271 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822873 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807569 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801118 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785143 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768871 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.75938 [17] validation_0-merror:0.3 validation_0-mlogloss:0.74955 [18] validation_0-merror:0.3 validation_0-mlogloss:0.750431 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739634 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.738191 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.732657 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.730316 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725524 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723851 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725626 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.717777 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712352 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703786 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695277 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690022 [31] validation_0-merror:0.3 validation_0-mlogloss:0.688996 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685859 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68376 [34] validation_0-merror:0.3 validation_0-mlogloss:0.6835 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683886 [36] validation_0-merror:0.3 validation_0-mlogloss:0.682749 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.680085 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67651 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671421 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.671208 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.664622 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.665924 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.664062 [44] validation_0-merror:0.3 validation_0-mlogloss:0.66312 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.658717 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.658505 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.657962 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.656167 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.656356 [50] validation_0-merror:0.25 validation_0-mlogloss:0.66071 [51] validation_0-merror:0.25 validation_0-mlogloss:0.662076 [52] validation_0-merror:0.25 validation_0-mlogloss:0.659036 [53] validation_0-merror:0.25 validation_0-mlogloss:0.655831 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.655693 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.655977 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.653023 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.653273 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.656711 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.654617 [60] validation_0-merror:0.3 validation_0-mlogloss:0.654393 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.657307 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.653023 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.02619 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991943 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962304 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943644 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921158 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.900269 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881454 [8] validation_0-merror:0.3 validation_0-mlogloss:0.864947 [9] validation_0-merror:0.3 validation_0-mlogloss:0.845325 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834354 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817277 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804048 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794403 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787622 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777229 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769624 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764741 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758165 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753868 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744674 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737683 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726866 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719091 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712691 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709185 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70537 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.700946 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696503 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69491 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691413 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689436 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688652 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688363 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.685497 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679978 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.678479 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.676155 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.672787 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671293 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669349 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.664776 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.663596 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.663028 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660879 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.65811 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660106 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660837 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660885 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662049 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.6603 Stopping. Best iteration: [45] validation_0-merror:0.266667 validation_0-mlogloss:0.65811 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02448 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994924 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960939 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941183 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.925108 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907552 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.896485 [8] validation_0-merror:0.4 validation_0-mlogloss:0.88438 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873334 [10] validation_0-merror:0.4 validation_0-mlogloss:0.860382 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.851408 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.8405 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829363 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816939 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806767 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798822 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793961 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785291 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778113 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772308 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764978 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767795 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765945 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763789 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762472 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756298 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752126 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753586 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751518 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751019 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750844 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748097 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746518 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743269 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739855 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737617 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734933 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738259 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732996 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.733794 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.734847 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.736322 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.732726 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.733423 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.734115 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.735052 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.738531 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00355 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976736 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936879 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91662 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901942 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886389 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875851 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.869907 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86255 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846275 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830407 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810056 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.802421 [17] validation_0-merror:0.35 validation_0-mlogloss:0.792757 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785661 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771222 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765192 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762802 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.760105 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751251 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.746811 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.74245 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736475 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.731515 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729847 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727285 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.723773 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721278 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717365 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.715112 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712881 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.711714 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70503 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.701752 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.698261 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69823 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.6969 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.693495 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693952 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.690728 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.689677 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.685488 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.685759 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.684592 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.685567 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684866 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681415 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679204 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.67822 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677292 [54] validation_0-merror:0.3 validation_0-mlogloss:0.676787 [55] validation_0-merror:0.3 validation_0-mlogloss:0.673721 [56] validation_0-merror:0.3 validation_0-mlogloss:0.671009 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.673108 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.676615 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.673894 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.672749 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.675225 Stopping. Best iteration: [56] validation_0-merror:0.3 validation_0-mlogloss:0.671009 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98389 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933361 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894458 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875597 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829378 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820117 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809333 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790178 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774166 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753279 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745298 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741313 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73474 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726765 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722875 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722321 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716517 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712428 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707924 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705273 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700477 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697341 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.696505 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.693135 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691491 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.691679 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69008 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688398 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.688094 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.688727 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.68853 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685515 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684059 [45] validation_0-merror:0.3 validation_0-mlogloss:0.684608 [46] validation_0-merror:0.3 validation_0-mlogloss:0.683879 [47] validation_0-merror:0.3 validation_0-mlogloss:0.684409 [48] validation_0-merror:0.3 validation_0-mlogloss:0.683916 [49] validation_0-merror:0.3 validation_0-mlogloss:0.686132 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68562 [51] validation_0-merror:0.3 validation_0-mlogloss:0.683775 [52] validation_0-merror:0.3 validation_0-mlogloss:0.686561 [53] validation_0-merror:0.3 validation_0-mlogloss:0.685517 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.684868 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.687247 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.687787 Stopping. Best iteration: [51] validation_0-merror:0.3 validation_0-mlogloss:0.683775 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01987 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990724 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963656 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941415 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923077 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907852 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892961 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878687 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854829 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83503 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825436 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819627 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809435 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801614 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792741 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.7928 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787746 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782828 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776984 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.773407 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770456 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767431 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763838 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756227 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75178 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748989 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74647 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74224 [31] validation_0-merror:0.35 validation_0-mlogloss:0.740189 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736037 [33] validation_0-merror:0.35 validation_0-mlogloss:0.731566 [34] validation_0-merror:0.35 validation_0-mlogloss:0.728776 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727354 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724038 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721929 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.719591 [40] validation_0-merror:0.35 validation_0-mlogloss:0.719946 [41] validation_0-merror:0.35 validation_0-mlogloss:0.719262 [42] validation_0-merror:0.35 validation_0-mlogloss:0.717498 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718157 [44] validation_0-merror:0.35 validation_0-mlogloss:0.719328 [45] validation_0-merror:0.35 validation_0-mlogloss:0.717529 [46] validation_0-merror:0.35 validation_0-mlogloss:0.716041 [47] validation_0-merror:0.35 validation_0-mlogloss:0.714319 [48] validation_0-merror:0.35 validation_0-mlogloss:0.713434 [49] validation_0-merror:0.35 validation_0-mlogloss:0.713208 [50] validation_0-merror:0.35 validation_0-mlogloss:0.711666 [51] validation_0-merror:0.35 validation_0-mlogloss:0.710018 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709432 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.70852 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.707451 [55] validation_0-merror:0.35 validation_0-mlogloss:0.707927 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.707776 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.70813 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706829 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.707088 [60] validation_0-merror:0.333333 validation_0-mlogloss:0.708791 [61] validation_0-merror:0.333333 validation_0-mlogloss:0.708742 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.710768 [63] validation_0-merror:0.333333 validation_0-mlogloss:0.71094 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706829 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05916 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02611 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994486 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950669 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918517 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901938 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.878065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865067 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8564 [12] validation_0-merror:0.35 validation_0-mlogloss:0.846713 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839065 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.832761 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819538 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813601 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806633 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.797196 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.792266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783326 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774413 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77261 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.769116 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765775 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763464 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758327 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75391 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74693 [31] validation_0-merror:0.3 validation_0-mlogloss:0.743617 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740483 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738451 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734626 [35] validation_0-merror:0.3 validation_0-mlogloss:0.732492 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727157 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722392 [38] validation_0-merror:0.3 validation_0-mlogloss:0.720544 [39] validation_0-merror:0.3 validation_0-mlogloss:0.718573 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719077 [41] validation_0-merror:0.3 validation_0-mlogloss:0.714818 [42] validation_0-merror:0.3 validation_0-mlogloss:0.709844 [43] validation_0-merror:0.3 validation_0-mlogloss:0.70751 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705414 [45] validation_0-merror:0.3 validation_0-mlogloss:0.702038 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.700431 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.69741 [48] validation_0-merror:0.3 validation_0-mlogloss:0.69635 [49] validation_0-merror:0.3 validation_0-mlogloss:0.697042 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.692977 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.691318 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.688604 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.688259 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.688803 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.68708 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.685605 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.685567 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.685143 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.683161 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.681313 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.679711 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.678989 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.679476 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.678344 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.67665 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.673074 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.672925 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.673459 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.671611 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.66992 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.668409 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.666388 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.667849 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.666109 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.665166 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.665305 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.665307 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.665095 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.666049 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.666783 [81] validation_0-merror:0.266667 validation_0-mlogloss:0.66804 [82] validation_0-merror:0.266667 validation_0-mlogloss:0.667975 [83] validation_0-merror:0.283333 validation_0-mlogloss:0.667544 Stopping. Best iteration: [78] validation_0-merror:0.266667 validation_0-mlogloss:0.665095 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05469 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01474 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983393 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.959914 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936107 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913957 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893405 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878179 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860252 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838425 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826832 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.821097 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811187 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803359 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.799626 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786472 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775872 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768754 [18] validation_0-merror:0.3 validation_0-mlogloss:0.75952 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.753345 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743676 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736948 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731831 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.723355 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713962 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.706181 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705864 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699218 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69355 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689187 [30] validation_0-merror:0.3 validation_0-mlogloss:0.684597 [31] validation_0-merror:0.3 validation_0-mlogloss:0.682624 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.68099 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.681508 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.679137 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.676236 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.676566 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.67771 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.675968 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.676068 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.672246 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.667487 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.664673 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.665362 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.663967 [45] validation_0-merror:0.3 validation_0-mlogloss:0.661142 [46] validation_0-merror:0.3 validation_0-mlogloss:0.660912 [47] validation_0-merror:0.3 validation_0-mlogloss:0.65952 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.65894 [49] validation_0-merror:0.3 validation_0-mlogloss:0.659528 [50] validation_0-merror:0.3 validation_0-mlogloss:0.661343 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660141 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656999 [53] validation_0-merror:0.3 validation_0-mlogloss:0.659452 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.663323 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.665996 [56] validation_0-merror:0.3 validation_0-mlogloss:0.666337 [57] validation_0-merror:0.3 validation_0-mlogloss:0.659112 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.656999 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.483333 validation_0-mlogloss:1.02837 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.997974 [3] validation_0-merror:0.45 validation_0-mlogloss:0.967403 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.944045 [5] validation_0-merror:0.4 validation_0-mlogloss:0.92508 [6] validation_0-merror:0.4 validation_0-mlogloss:0.90623 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891063 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879032 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.86562 [10] validation_0-merror:0.433333 validation_0-mlogloss:0.853935 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.841635 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.835723 [13] validation_0-merror:0.433333 validation_0-mlogloss:0.827766 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.815328 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.809665 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.803128 [17] validation_0-merror:0.4 validation_0-mlogloss:0.795121 [18] validation_0-merror:0.4 validation_0-mlogloss:0.786925 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.777134 [20] validation_0-merror:0.4 validation_0-mlogloss:0.77234 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.763481 [22] validation_0-merror:0.4 validation_0-mlogloss:0.762204 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.754509 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750512 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.754645 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.747218 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747732 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.741844 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.734715 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735229 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732549 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728814 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.726762 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.720856 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.724551 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.725542 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.725063 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.733617 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.734953 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.720856 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02834 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997193 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968909 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941446 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9212 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896138 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883301 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866173 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852757 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840715 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828844 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813587 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807302 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.79181 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.777968 [16] validation_0-merror:0.3 validation_0-mlogloss:0.767978 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75569 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753354 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.743854 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74267 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737536 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735407 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729178 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.727811 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.730561 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721861 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.716027 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708508 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701379 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697303 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.696296 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.69324 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691357 [34] validation_0-merror:0.3 validation_0-mlogloss:0.68919 [35] validation_0-merror:0.3 validation_0-mlogloss:0.688592 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686006 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685437 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687619 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683438 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681817 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.676798 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677455 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673728 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67326 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667793 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.666613 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66573 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.663675 [49] validation_0-merror:0.25 validation_0-mlogloss:0.665023 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.670729 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.672208 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.670828 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668931 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.663675 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02099 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987392 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957538 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940053 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.918048 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898653 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880009 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865392 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.84809 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.836872 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820147 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805823 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.796029 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.7896 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779342 [16] validation_0-merror:0.3 validation_0-mlogloss:0.772746 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769678 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759968 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75435 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747617 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738409 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727342 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721512 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714787 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711517 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708528 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703547 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.698017 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.697053 [30] validation_0-merror:0.3 validation_0-mlogloss:0.69152 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.690704 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686695 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68656 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.684251 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.678494 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679245 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675656 [38] validation_0-merror:0.3 validation_0-mlogloss:0.672444 [39] validation_0-merror:0.3 validation_0-mlogloss:0.66973 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669617 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666424 [42] validation_0-merror:0.3 validation_0-mlogloss:0.664551 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.664031 [44] validation_0-merror:0.3 validation_0-mlogloss:0.659024 [45] validation_0-merror:0.3 validation_0-mlogloss:0.658429 [46] validation_0-merror:0.3 validation_0-mlogloss:0.660164 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.658528 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660499 [49] validation_0-merror:0.3 validation_0-mlogloss:0.655255 [50] validation_0-merror:0.3 validation_0-mlogloss:0.653611 [51] validation_0-merror:0.3 validation_0-mlogloss:0.656822 [52] validation_0-merror:0.3 validation_0-mlogloss:0.651509 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.650714 [54] validation_0-merror:0.25 validation_0-mlogloss:0.651937 [55] validation_0-merror:0.25 validation_0-mlogloss:0.6513 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652247 [57] validation_0-merror:0.25 validation_0-mlogloss:0.649888 [58] validation_0-merror:0.25 validation_0-mlogloss:0.646653 [59] validation_0-merror:0.25 validation_0-mlogloss:0.642677 [60] validation_0-merror:0.25 validation_0-mlogloss:0.644494 [61] validation_0-merror:0.25 validation_0-mlogloss:0.646519 [62] validation_0-merror:0.25 validation_0-mlogloss:0.647036 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.64414 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.64239 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.63911 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.639203 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.639555 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.640749 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.639377 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.639862 Stopping. Best iteration: [65] validation_0-merror:0.266667 validation_0-mlogloss:0.63911 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02395 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959635 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.939869 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.922923 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901291 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890537 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865606 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.841058 [12] validation_0-merror:0.4 validation_0-mlogloss:0.829641 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819721 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809261 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80045 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.793121 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788419 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.783126 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.775958 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769451 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762072 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.761279 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.759062 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.756809 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755559 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751513 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.747137 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.747086 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747399 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746507 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.743515 [32] validation_0-merror:0.35 validation_0-mlogloss:0.741774 [33] validation_0-merror:0.35 validation_0-mlogloss:0.73916 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.736788 [35] validation_0-merror:0.35 validation_0-mlogloss:0.734811 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.732572 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.727963 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.731867 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.72736 [40] validation_0-merror:0.35 validation_0-mlogloss:0.728279 [41] validation_0-merror:0.35 validation_0-mlogloss:0.72999 [42] validation_0-merror:0.35 validation_0-mlogloss:0.731204 [43] validation_0-merror:0.35 validation_0-mlogloss:0.725571 [44] validation_0-merror:0.35 validation_0-mlogloss:0.729366 [45] validation_0-merror:0.35 validation_0-mlogloss:0.729346 [46] validation_0-merror:0.35 validation_0-mlogloss:0.728817 [47] validation_0-merror:0.35 validation_0-mlogloss:0.729363 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.73074 Stopping. Best iteration: [43] validation_0-merror:0.35 validation_0-mlogloss:0.725571 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884397 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874682 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868935 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.863068 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.850241 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834494 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817922 [15] validation_0-merror:0.35 validation_0-mlogloss:0.80642 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.802527 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.7932 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786215 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773372 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768299 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764921 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761139 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.752309 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746687 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742181 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.736315 [27] validation_0-merror:0.3 validation_0-mlogloss:0.731753 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729059 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.725791 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.718767 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.71594 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713115 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.710301 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.707238 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706223 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.699838 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.696225 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.694564 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.694847 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.692156 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.689709 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.690242 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.689914 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.690397 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.688093 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.689506 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.68899 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.686885 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684239 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.68106 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.679904 [52] validation_0-merror:0.25 validation_0-mlogloss:0.67935 [53] validation_0-merror:0.25 validation_0-mlogloss:0.678514 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.67867 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.675829 [56] validation_0-merror:0.25 validation_0-mlogloss:0.674478 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.678358 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.679384 [59] validation_0-merror:0.25 validation_0-mlogloss:0.677412 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.677452 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.679479 Stopping. Best iteration: [56] validation_0-merror:0.25 validation_0-mlogloss:0.674478 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05463 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01756 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986296 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958132 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934568 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897506 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876489 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865152 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848719 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799488 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781379 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762154 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754098 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748429 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740114 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736016 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734745 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733889 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731193 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727349 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.723415 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71839 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71545 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71259 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711016 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706034 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.703413 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.699166 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.698606 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.698646 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.698005 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.694284 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.695389 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.694195 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69331 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.69154 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.693195 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695767 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.697584 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.699363 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698719 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.69154 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989064 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940064 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919515 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903489 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88863 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873529 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863457 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848874 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839976 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.828067 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821968 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810682 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80288 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797255 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792426 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784738 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781177 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776202 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771778 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766649 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.7638 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.759796 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755036 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.752261 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747059 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.742759 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739032 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.735199 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.734674 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.730752 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.724968 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.723711 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.722547 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720643 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.717421 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.714959 [39] validation_0-merror:0.35 validation_0-mlogloss:0.712443 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.710521 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709574 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.709352 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.707819 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.70687 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.707657 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.708178 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.708475 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.706594 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.70784 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.70742 [51] validation_0-merror:0.35 validation_0-mlogloss:0.709599 [52] validation_0-merror:0.35 validation_0-mlogloss:0.710333 [53] validation_0-merror:0.35 validation_0-mlogloss:0.711539 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.706594 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05873 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02659 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994819 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950898 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917964 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.877987 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.870411 [11] validation_0-merror:0.35 validation_0-mlogloss:0.857516 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844253 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837144 [14] validation_0-merror:0.35 validation_0-mlogloss:0.827991 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.82159 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810362 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803308 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.793427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.784638 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.781167 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776585 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774226 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.768252 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766293 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757659 [28] validation_0-merror:0.3 validation_0-mlogloss:0.753197 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749553 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.745431 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.742147 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739144 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734949 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732503 [35] validation_0-merror:0.3 validation_0-mlogloss:0.729734 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727961 [37] validation_0-merror:0.3 validation_0-mlogloss:0.724134 [38] validation_0-merror:0.3 validation_0-mlogloss:0.720588 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717434 [40] validation_0-merror:0.3 validation_0-mlogloss:0.715681 [41] validation_0-merror:0.3 validation_0-mlogloss:0.712308 [42] validation_0-merror:0.3 validation_0-mlogloss:0.709619 [43] validation_0-merror:0.3 validation_0-mlogloss:0.707775 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.705956 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.705457 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703585 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.702611 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.702859 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.702569 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.701136 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.702931 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.704638 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.702717 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.701187 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.699003 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.698846 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.699835 [58] validation_0-merror:0.3 validation_0-mlogloss:0.700708 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.699708 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.700119 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.699922 Stopping. Best iteration: [56] validation_0-merror:0.316667 validation_0-mlogloss:0.698846 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9822 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931776 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913098 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.895552 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880132 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.863132 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846846 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833786 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824876 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815105 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804833 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800614 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789241 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779974 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770907 [18] validation_0-merror:0.3 validation_0-mlogloss:0.760611 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754982 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746132 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.739267 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73437 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723257 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714561 [25] validation_0-merror:0.3 validation_0-mlogloss:0.707671 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708066 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.702179 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69876 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695827 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691834 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692422 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688897 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.691388 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.691054 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688024 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.68946 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.690681 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68889 [39] validation_0-merror:0.3 validation_0-mlogloss:0.683627 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675682 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.67011 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.667334 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.668326 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666626 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.665323 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66299 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.662184 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660986 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659338 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.661757 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.661458 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.659788 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.663286 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.668191 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.659338 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999033 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.970131 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.94552 [5] validation_0-merror:0.4 validation_0-mlogloss:0.925685 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905737 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890569 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871853 [9] validation_0-merror:0.4 validation_0-mlogloss:0.859315 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.848155 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.835616 [12] validation_0-merror:0.4 validation_0-mlogloss:0.83033 [13] validation_0-merror:0.4 validation_0-mlogloss:0.820576 [14] validation_0-merror:0.4 validation_0-mlogloss:0.807904 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.803908 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797545 [17] validation_0-merror:0.4 validation_0-mlogloss:0.788559 [18] validation_0-merror:0.4 validation_0-mlogloss:0.780688 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773291 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.768193 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.759783 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.758224 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.752978 [24] validation_0-merror:0.4 validation_0-mlogloss:0.749441 [25] validation_0-merror:0.4 validation_0-mlogloss:0.748966 [26] validation_0-merror:0.4 validation_0-mlogloss:0.741942 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.73956 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.734909 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.731734 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733466 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.734348 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.729515 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.728219 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.72284 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.727139 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.728933 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.725947 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.733486 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.733885 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.72284 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06211 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03224 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.999256 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971762 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.947726 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927219 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905294 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890735 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.874335 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861712 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851427 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838289 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823456 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816751 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801883 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788527 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781789 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773436 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.770105 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76371 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759973 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76009 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758411 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.753033 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750118 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749202 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741837 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734787 [28] validation_0-merror:0.3 validation_0-mlogloss:0.727437 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721695 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722351 [31] validation_0-merror:0.3 validation_0-mlogloss:0.718707 [32] validation_0-merror:0.3 validation_0-mlogloss:0.718069 [33] validation_0-merror:0.3 validation_0-mlogloss:0.717947 [34] validation_0-merror:0.3 validation_0-mlogloss:0.715317 [35] validation_0-merror:0.3 validation_0-mlogloss:0.714295 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.713542 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.711467 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707953 [39] validation_0-merror:0.3 validation_0-mlogloss:0.705266 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703443 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.699808 [42] validation_0-merror:0.3 validation_0-mlogloss:0.703678 [43] validation_0-merror:0.3 validation_0-mlogloss:0.699506 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.700135 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.692635 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691093 [47] validation_0-merror:0.3 validation_0-mlogloss:0.691129 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.686631 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.687933 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.691912 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.694804 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.69743 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.694256 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.686631 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02229 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.990559 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.96415 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946726 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926506 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907379 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89035 [8] validation_0-merror:0.35 validation_0-mlogloss:0.872961 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855413 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843388 [11] validation_0-merror:0.35 validation_0-mlogloss:0.828312 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.814413 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804051 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797568 [15] validation_0-merror:0.35 validation_0-mlogloss:0.788828 [16] validation_0-merror:0.35 validation_0-mlogloss:0.778822 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773286 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758015 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751899 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745049 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738976 [22] validation_0-merror:0.3 validation_0-mlogloss:0.7298 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722656 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714605 [25] validation_0-merror:0.3 validation_0-mlogloss:0.70926 [26] validation_0-merror:0.3 validation_0-mlogloss:0.705972 [27] validation_0-merror:0.3 validation_0-mlogloss:0.701721 [28] validation_0-merror:0.3 validation_0-mlogloss:0.694291 [29] validation_0-merror:0.3 validation_0-mlogloss:0.693145 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688011 [31] validation_0-merror:0.3 validation_0-mlogloss:0.687024 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.686299 [33] validation_0-merror:0.3 validation_0-mlogloss:0.685907 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683467 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678523 [36] validation_0-merror:0.3 validation_0-mlogloss:0.679332 [37] validation_0-merror:0.3 validation_0-mlogloss:0.676758 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673516 [39] validation_0-merror:0.3 validation_0-mlogloss:0.670233 [40] validation_0-merror:0.3 validation_0-mlogloss:0.666696 [41] validation_0-merror:0.3 validation_0-mlogloss:0.663844 [42] validation_0-merror:0.3 validation_0-mlogloss:0.663372 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66217 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.657106 [45] validation_0-merror:0.3 validation_0-mlogloss:0.654055 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.655617 [47] validation_0-merror:0.3 validation_0-mlogloss:0.652866 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.653801 [49] validation_0-merror:0.3 validation_0-mlogloss:0.652372 [50] validation_0-merror:0.3 validation_0-mlogloss:0.654629 [51] validation_0-merror:0.3 validation_0-mlogloss:0.655945 [52] validation_0-merror:0.3 validation_0-mlogloss:0.65284 [53] validation_0-merror:0.3 validation_0-mlogloss:0.653123 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.653675 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.652372 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02314 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992235 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960636 [4] validation_0-merror:0.4 validation_0-mlogloss:0.940681 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.923256 [6] validation_0-merror:0.4 validation_0-mlogloss:0.906129 [7] validation_0-merror:0.4 validation_0-mlogloss:0.895651 [8] validation_0-merror:0.4 validation_0-mlogloss:0.883245 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.868996 [10] validation_0-merror:0.4 validation_0-mlogloss:0.855931 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.843064 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831737 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818816 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80744 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.797835 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.792381 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784926 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.777896 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.772337 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.764535 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.754822 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.753099 [23] validation_0-merror:0.35 validation_0-mlogloss:0.748518 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.745734 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.744115 [26] validation_0-merror:0.35 validation_0-mlogloss:0.742775 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739332 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738515 [29] validation_0-merror:0.35 validation_0-mlogloss:0.736951 [30] validation_0-merror:0.35 validation_0-mlogloss:0.736036 [31] validation_0-merror:0.35 validation_0-mlogloss:0.734607 [32] validation_0-merror:0.35 validation_0-mlogloss:0.733096 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730643 [34] validation_0-merror:0.35 validation_0-mlogloss:0.72989 [35] validation_0-merror:0.35 validation_0-mlogloss:0.730097 [36] validation_0-merror:0.35 validation_0-mlogloss:0.726686 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727035 [38] validation_0-merror:0.35 validation_0-mlogloss:0.730482 [39] validation_0-merror:0.35 validation_0-mlogloss:0.727772 [40] validation_0-merror:0.35 validation_0-mlogloss:0.727965 [41] validation_0-merror:0.35 validation_0-mlogloss:0.729713 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.726686 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977306 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954358 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.937241 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.91707 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.902421 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889056 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881804 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.877556 [11] validation_0-merror:0.4 validation_0-mlogloss:0.871845 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.858006 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.844808 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.827697 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.82024 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812215 [17] validation_0-merror:0.3 validation_0-mlogloss:0.806389 [18] validation_0-merror:0.3 validation_0-mlogloss:0.799095 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787519 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.782137 [21] validation_0-merror:0.3 validation_0-mlogloss:0.779883 [22] validation_0-merror:0.3 validation_0-mlogloss:0.775958 [23] validation_0-merror:0.3 validation_0-mlogloss:0.766295 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76181 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.757971 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.75329 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.748737 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.743776 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.74087 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.738969 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.735242 [32] validation_0-merror:0.3 validation_0-mlogloss:0.734073 [33] validation_0-merror:0.3 validation_0-mlogloss:0.731021 [34] validation_0-merror:0.3 validation_0-mlogloss:0.726351 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726967 [36] validation_0-merror:0.3 validation_0-mlogloss:0.720841 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717852 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716474 [39] validation_0-merror:0.3 validation_0-mlogloss:0.7154 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71277 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.709897 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.711822 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.711083 [44] validation_0-merror:0.3 validation_0-mlogloss:0.712369 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.709809 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.70988 [47] validation_0-merror:0.3 validation_0-mlogloss:0.708572 [48] validation_0-merror:0.3 validation_0-mlogloss:0.70744 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.707297 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.703833 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.701629 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.701452 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.70067 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.700907 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.701873 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.700878 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.70436 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.704825 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.70067 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01882 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985716 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917387 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897914 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882293 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86719 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853065 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842513 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828249 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813641 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804478 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792855 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78119 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775523 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767473 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759157 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748415 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743116 [21] validation_0-merror:0.35 validation_0-mlogloss:0.739769 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731402 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725833 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723062 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716011 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712119 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.712034 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.7068 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707102 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707303 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704799 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.704728 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698576 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.693128 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693797 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691053 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691348 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689103 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690211 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690911 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.693063 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69182 [43] validation_0-merror:0.3 validation_0-mlogloss:0.691123 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.689103 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987693 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962718 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937965 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921826 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904217 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891091 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874965 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848994 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839101 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829631 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819943 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80767 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798418 [16] validation_0-merror:0.4 validation_0-mlogloss:0.794578 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787632 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780513 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773665 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767557 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762991 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759655 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755734 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753249 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.747941 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.744446 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.738096 [28] validation_0-merror:0.35 validation_0-mlogloss:0.730976 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.729905 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.728785 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726812 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726675 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722664 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720961 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.720269 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721902 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719204 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718824 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.720519 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.719731 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.718147 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717472 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718671 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.722368 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.720306 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.720575 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.719522 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717472 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995513 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97594 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947806 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928278 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919282 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897538 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889656 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866785 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859452 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849925 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.830366 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811189 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800721 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788132 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783831 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78267 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777406 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770662 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764135 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758256 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757225 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75631 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754438 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751267 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750464 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7483 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742434 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73947 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733606 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733267 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732009 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727557 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725039 [41] validation_0-merror:0.3 validation_0-mlogloss:0.723374 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720179 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718564 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.715649 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.713651 [46] validation_0-merror:0.3 validation_0-mlogloss:0.711513 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711511 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710254 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.708492 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708729 [51] validation_0-merror:0.3 validation_0-mlogloss:0.707969 [52] validation_0-merror:0.3 validation_0-mlogloss:0.705895 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.703781 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.704397 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.702537 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.702671 [57] validation_0-merror:0.3 validation_0-mlogloss:0.701918 [58] validation_0-merror:0.3 validation_0-mlogloss:0.699435 [59] validation_0-merror:0.3 validation_0-mlogloss:0.698329 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.697871 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.697758 [62] validation_0-merror:0.3 validation_0-mlogloss:0.701306 [63] validation_0-merror:0.3 validation_0-mlogloss:0.702591 [64] validation_0-merror:0.3 validation_0-mlogloss:0.704588 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.702311 [66] validation_0-merror:0.3 validation_0-mlogloss:0.70213 Stopping. Best iteration: [61] validation_0-merror:0.283333 validation_0-mlogloss:0.697758 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01918 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983916 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957638 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932588 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913455 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.89567 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880078 [8] validation_0-merror:0.4 validation_0-mlogloss:0.864669 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.847773 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.834669 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825339 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.815144 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805827 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800968 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788534 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774786 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767278 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757558 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75022 [20] validation_0-merror:0.3 validation_0-mlogloss:0.740483 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734083 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729119 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717579 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.707634 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.701141 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.700173 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.692468 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.68976 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.687779 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.685125 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.683955 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.681322 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.683797 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.686249 [35] validation_0-merror:0.3 validation_0-mlogloss:0.689483 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.690595 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.688025 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.681322 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03271 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00122 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.969375 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.947148 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.92627 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.908422 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.89242 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874827 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.862325 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.8505 [11] validation_0-merror:0.4 validation_0-mlogloss:0.837301 [12] validation_0-merror:0.4 validation_0-mlogloss:0.832115 [13] validation_0-merror:0.4 validation_0-mlogloss:0.822778 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810398 [15] validation_0-merror:0.4 validation_0-mlogloss:0.804694 [16] validation_0-merror:0.4 validation_0-mlogloss:0.795412 [17] validation_0-merror:0.4 validation_0-mlogloss:0.78922 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.783662 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.776788 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772086 [21] validation_0-merror:0.4 validation_0-mlogloss:0.764288 [22] validation_0-merror:0.4 validation_0-mlogloss:0.761689 [23] validation_0-merror:0.4 validation_0-mlogloss:0.756826 [24] validation_0-merror:0.4 validation_0-mlogloss:0.753576 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.753157 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.74351 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.740939 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.735985 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.728281 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.728333 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.729422 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.725056 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.721777 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.723785 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.727695 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.727339 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.728297 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.735964 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.721777 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06181 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03349 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00053 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973982 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947938 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929544 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908451 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891962 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874415 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.860422 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84885 [11] validation_0-merror:0.35 validation_0-mlogloss:0.836897 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819597 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811509 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.804252 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792438 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785856 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775606 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776941 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769644 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76875 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768404 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767337 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.763454 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760278 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762071 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753983 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.751685 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74378 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.738438 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738382 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733986 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.732811 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.730454 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728445 [35] validation_0-merror:0.35 validation_0-mlogloss:0.728781 [36] validation_0-merror:0.35 validation_0-mlogloss:0.728222 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726304 [38] validation_0-merror:0.35 validation_0-mlogloss:0.72277 [39] validation_0-merror:0.35 validation_0-mlogloss:0.717693 [40] validation_0-merror:0.35 validation_0-mlogloss:0.715398 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709602 [42] validation_0-merror:0.35 validation_0-mlogloss:0.712609 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.707025 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.705955 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698348 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.699511 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.700434 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.699821 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.69839 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.70223 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698348 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02384 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991841 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966058 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948646 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.930454 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911384 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894372 [8] validation_0-merror:0.4 validation_0-mlogloss:0.879628 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863447 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850231 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833465 [12] validation_0-merror:0.35 validation_0-mlogloss:0.818049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809735 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.79232 [16] validation_0-merror:0.35 validation_0-mlogloss:0.782999 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.776564 [18] validation_0-merror:0.35 validation_0-mlogloss:0.771508 [19] validation_0-merror:0.35 validation_0-mlogloss:0.765107 [20] validation_0-merror:0.35 validation_0-mlogloss:0.757869 [21] validation_0-merror:0.35 validation_0-mlogloss:0.751377 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741042 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.73495 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726319 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.727339 [26] validation_0-merror:0.35 validation_0-mlogloss:0.724906 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.723207 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.720216 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.719267 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.714681 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.713121 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709996 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706736 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.703257 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.697555 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697869 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692456 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690083 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686598 [40] validation_0-merror:0.3 validation_0-mlogloss:0.687312 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684085 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680644 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679093 [44] validation_0-merror:0.3 validation_0-mlogloss:0.678937 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676171 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678803 [47] validation_0-merror:0.3 validation_0-mlogloss:0.677713 [48] validation_0-merror:0.3 validation_0-mlogloss:0.675332 [49] validation_0-merror:0.3 validation_0-mlogloss:0.672116 [50] validation_0-merror:0.3 validation_0-mlogloss:0.669293 [51] validation_0-merror:0.3 validation_0-mlogloss:0.672358 [52] validation_0-merror:0.3 validation_0-mlogloss:0.671623 [53] validation_0-merror:0.3 validation_0-mlogloss:0.670756 [54] validation_0-merror:0.3 validation_0-mlogloss:0.668803 [55] validation_0-merror:0.3 validation_0-mlogloss:0.669747 [56] validation_0-merror:0.3 validation_0-mlogloss:0.671531 [57] validation_0-merror:0.3 validation_0-mlogloss:0.668769 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.666308 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.662986 [60] validation_0-merror:0.3 validation_0-mlogloss:0.665558 [61] validation_0-merror:0.3 validation_0-mlogloss:0.666422 [62] validation_0-merror:0.3 validation_0-mlogloss:0.668474 [63] validation_0-merror:0.3 validation_0-mlogloss:0.667523 [64] validation_0-merror:0.3 validation_0-mlogloss:0.666153 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.662986 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02386 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991762 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960148 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939114 [5] validation_0-merror:0.4 validation_0-mlogloss:0.920154 [6] validation_0-merror:0.4 validation_0-mlogloss:0.903413 [7] validation_0-merror:0.4 validation_0-mlogloss:0.892188 [8] validation_0-merror:0.4 validation_0-mlogloss:0.881358 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867893 [10] validation_0-merror:0.4 validation_0-mlogloss:0.854995 [11] validation_0-merror:0.4 validation_0-mlogloss:0.844272 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834689 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820601 [14] validation_0-merror:0.4 validation_0-mlogloss:0.812763 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.803152 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.793682 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.788214 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.783594 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776092 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768428 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763441 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763912 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.758891 [24] validation_0-merror:0.35 validation_0-mlogloss:0.755548 [25] validation_0-merror:0.35 validation_0-mlogloss:0.75477 [26] validation_0-merror:0.35 validation_0-mlogloss:0.746412 [27] validation_0-merror:0.35 validation_0-mlogloss:0.741678 [28] validation_0-merror:0.35 validation_0-mlogloss:0.737863 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735891 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734232 [31] validation_0-merror:0.35 validation_0-mlogloss:0.732064 [32] validation_0-merror:0.35 validation_0-mlogloss:0.729199 [33] validation_0-merror:0.35 validation_0-mlogloss:0.727037 [34] validation_0-merror:0.35 validation_0-mlogloss:0.725495 [35] validation_0-merror:0.35 validation_0-mlogloss:0.725741 [36] validation_0-merror:0.35 validation_0-mlogloss:0.723762 [37] validation_0-merror:0.35 validation_0-mlogloss:0.724124 [38] validation_0-merror:0.35 validation_0-mlogloss:0.7268 [39] validation_0-merror:0.35 validation_0-mlogloss:0.724665 [40] validation_0-merror:0.35 validation_0-mlogloss:0.724868 [41] validation_0-merror:0.35 validation_0-mlogloss:0.726947 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.723762 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957182 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.941243 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920945 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.906452 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.892301 [9] validation_0-merror:0.35 validation_0-mlogloss:0.884982 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.88074 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.874916 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.860429 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.847938 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.831665 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.824005 [16] validation_0-merror:0.35 validation_0-mlogloss:0.817987 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.812127 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.804731 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.793742 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.789305 [21] validation_0-merror:0.3 validation_0-mlogloss:0.785824 [22] validation_0-merror:0.3 validation_0-mlogloss:0.78148 [23] validation_0-merror:0.3 validation_0-mlogloss:0.775375 [24] validation_0-merror:0.3 validation_0-mlogloss:0.771783 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.76691 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759575 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754373 [28] validation_0-merror:0.3 validation_0-mlogloss:0.752211 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.748749 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.748663 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.746385 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.743586 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.740791 [34] validation_0-merror:0.3 validation_0-mlogloss:0.735064 [35] validation_0-merror:0.3 validation_0-mlogloss:0.736752 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.73261 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.72938 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.727463 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.728898 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.726488 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.72419 [42] validation_0-merror:0.3 validation_0-mlogloss:0.726237 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.722661 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.723662 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.721697 [46] validation_0-merror:0.3 validation_0-mlogloss:0.723464 [47] validation_0-merror:0.3 validation_0-mlogloss:0.720968 [48] validation_0-merror:0.3 validation_0-mlogloss:0.717691 [49] validation_0-merror:0.3 validation_0-mlogloss:0.718535 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.715026 [51] validation_0-merror:0.3 validation_0-mlogloss:0.716929 [52] validation_0-merror:0.3 validation_0-mlogloss:0.717806 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.717213 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.715516 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.716538 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.715026 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05912 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02403 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995271 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968259 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.948169 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.92899 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911982 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898171 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.886244 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.873287 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859437 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.850398 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834789 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803935 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796539 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78672 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764554 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.758892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747287 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743077 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737306 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738235 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.738322 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738864 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.736611 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735418 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.736946 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.734883 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734755 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732684 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733328 [37] validation_0-merror:0.3 validation_0-mlogloss:0.728388 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727032 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.725162 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.720927 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.721867 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.72224 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.720803 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.718567 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.717314 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.718792 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.716715 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.716676 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.715989 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.712159 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.714842 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.713195 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.713863 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.709593 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.707573 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.711131 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.708882 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.70608 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.705089 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.703442 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.704418 [62] validation_0-merror:0.3 validation_0-mlogloss:0.702298 [63] validation_0-merror:0.3 validation_0-mlogloss:0.704053 [64] validation_0-merror:0.3 validation_0-mlogloss:0.701674 [65] validation_0-merror:0.3 validation_0-mlogloss:0.70143 [66] validation_0-merror:0.3 validation_0-mlogloss:0.702163 [67] validation_0-merror:0.3 validation_0-mlogloss:0.69984 [68] validation_0-merror:0.3 validation_0-mlogloss:0.699506 [69] validation_0-merror:0.3 validation_0-mlogloss:0.700102 [70] validation_0-merror:0.3 validation_0-mlogloss:0.701531 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.701011 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.700804 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.700565 Stopping. Best iteration: [68] validation_0-merror:0.3 validation_0-mlogloss:0.699506 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02212 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992362 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969757 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945534 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927752 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910943 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895952 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.880061 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866914 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853781 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843783 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832132 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.824767 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814258 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805015 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79889 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792041 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784245 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777697 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772632 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769954 [22] validation_0-merror:0.35 validation_0-mlogloss:0.767687 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760498 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756656 [25] validation_0-merror:0.35 validation_0-mlogloss:0.753349 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.75314 [27] validation_0-merror:0.35 validation_0-mlogloss:0.747878 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744066 [29] validation_0-merror:0.35 validation_0-mlogloss:0.741579 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.737151 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.738176 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.735128 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.733542 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.729727 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.726218 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.726551 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.725061 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.723864 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.722677 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.72404 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.721647 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.721951 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.722167 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.722078 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.719546 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.719221 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.72041 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.720141 [49] validation_0-merror:0.35 validation_0-mlogloss:0.723041 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.722047 [51] validation_0-merror:0.35 validation_0-mlogloss:0.724825 Stopping. Best iteration: [46] validation_0-merror:0.333333 validation_0-mlogloss:0.719221 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948229 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931659 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916934 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900914 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890337 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882763 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.86947 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864794 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.854751 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845178 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.836971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829775 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822792 [17] validation_0-merror:0.35 validation_0-mlogloss:0.820153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.813469 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.807123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.802133 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798147 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793569 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783745 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.779265 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774073 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767268 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.763551 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.762603 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.756402 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.753898 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750574 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744653 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744444 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.741405 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738321 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733831 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.729924 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.728978 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.725975 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724506 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.72299 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.719829 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.718363 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.718703 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.715215 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.71525 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.713418 [49] validation_0-merror:0.3 validation_0-mlogloss:0.710343 [50] validation_0-merror:0.3 validation_0-mlogloss:0.712827 [51] validation_0-merror:0.3 validation_0-mlogloss:0.711836 [52] validation_0-merror:0.3 validation_0-mlogloss:0.710703 [53] validation_0-merror:0.3 validation_0-mlogloss:0.710165 [54] validation_0-merror:0.3 validation_0-mlogloss:0.708656 [55] validation_0-merror:0.3 validation_0-mlogloss:0.708096 [56] validation_0-merror:0.3 validation_0-mlogloss:0.706348 [57] validation_0-merror:0.3 validation_0-mlogloss:0.705002 [58] validation_0-merror:0.3 validation_0-mlogloss:0.703472 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.702243 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.703317 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.703241 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.703153 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.702035 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.702073 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.702741 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.701373 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.70189 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.699819 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.700267 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.701077 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.701391 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.703709 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.701603 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.699819 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02058 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.960218 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934936 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914933 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89744 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881877 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865274 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848337 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835108 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824275 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813079 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.802896 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798424 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784897 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77583 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767203 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756578 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74926 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.739955 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737452 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733114 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724698 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.715152 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.709304 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.707742 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.700456 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696056 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.692224 [30] validation_0-merror:0.25 validation_0-mlogloss:0.686602 [31] validation_0-merror:0.25 validation_0-mlogloss:0.684355 [32] validation_0-merror:0.25 validation_0-mlogloss:0.682688 [33] validation_0-merror:0.25 validation_0-mlogloss:0.682438 [34] validation_0-merror:0.25 validation_0-mlogloss:0.682169 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.684088 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686488 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686313 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.685294 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682402 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.682169 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.032 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00396 [3] validation_0-merror:0.4 validation_0-mlogloss:0.971663 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.950777 [5] validation_0-merror:0.4 validation_0-mlogloss:0.931781 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912812 [7] validation_0-merror:0.4 validation_0-mlogloss:0.897681 [8] validation_0-merror:0.4 validation_0-mlogloss:0.87755 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867767 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.856327 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.841878 [12] validation_0-merror:0.4 validation_0-mlogloss:0.836957 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825497 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.812893 [15] validation_0-merror:0.4 validation_0-mlogloss:0.807875 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79853 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789133 [18] validation_0-merror:0.4 validation_0-mlogloss:0.784061 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776655 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772763 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.766856 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.765603 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762479 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758678 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759124 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.748773 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.745661 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.740361 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.730961 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.732342 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.731532 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.725661 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.722243 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.722159 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.725895 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.725472 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.726059 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.732658 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.733515 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.722159 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03297 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00295 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.976836 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.952524 [5] validation_0-merror:0.35 validation_0-mlogloss:0.931159 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911969 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895345 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877186 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860454 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852082 [11] validation_0-merror:0.35 validation_0-mlogloss:0.840681 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824878 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.817665 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810523 [15] validation_0-merror:0.35 validation_0-mlogloss:0.79889 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792955 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.783861 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78535 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778304 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777504 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773347 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769954 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765414 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763254 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760017 [26] validation_0-merror:0.35 validation_0-mlogloss:0.751366 [27] validation_0-merror:0.35 validation_0-mlogloss:0.747702 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739756 [29] validation_0-merror:0.35 validation_0-mlogloss:0.734507 [30] validation_0-merror:0.35 validation_0-mlogloss:0.731116 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726934 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726071 [33] validation_0-merror:0.35 validation_0-mlogloss:0.725521 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726249 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.725936 [36] validation_0-merror:0.35 validation_0-mlogloss:0.72586 [37] validation_0-merror:0.35 validation_0-mlogloss:0.724103 [38] validation_0-merror:0.35 validation_0-mlogloss:0.724917 [39] validation_0-merror:0.35 validation_0-mlogloss:0.721298 [40] validation_0-merror:0.35 validation_0-mlogloss:0.718187 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.712786 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.713178 [43] validation_0-merror:0.35 validation_0-mlogloss:0.710968 [44] validation_0-merror:0.35 validation_0-mlogloss:0.710588 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.707649 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.708919 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.710238 [48] validation_0-merror:0.35 validation_0-mlogloss:0.706515 [49] validation_0-merror:0.35 validation_0-mlogloss:0.704751 [50] validation_0-merror:0.35 validation_0-mlogloss:0.708611 [51] validation_0-merror:0.35 validation_0-mlogloss:0.709382 [52] validation_0-merror:0.35 validation_0-mlogloss:0.712273 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.707485 [54] validation_0-merror:0.366667 validation_0-mlogloss:0.70983 Stopping. Best iteration: [49] validation_0-merror:0.35 validation_0-mlogloss:0.704751 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940075 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921563 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902464 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882888 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869856 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851622 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.840958 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824618 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810154 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803534 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796046 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783909 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775269 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770575 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760245 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75353 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746612 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740629 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731661 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726915 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72265 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717798 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716397 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712877 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708592 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707548 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702972 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703105 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700061 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700236 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699492 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.693581 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.695556 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692212 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68952 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686705 [40] validation_0-merror:0.3 validation_0-mlogloss:0.688439 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684221 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681488 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679233 [44] validation_0-merror:0.3 validation_0-mlogloss:0.678749 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676714 [46] validation_0-merror:0.3 validation_0-mlogloss:0.676032 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.675803 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679383 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677609 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677864 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680768 [52] validation_0-merror:0.3 validation_0-mlogloss:0.678595 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.675803 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942405 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922801 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907278 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894255 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878844 [9] validation_0-merror:0.4 validation_0-mlogloss:0.864468 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853002 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842457 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832935 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818956 [14] validation_0-merror:0.4 validation_0-mlogloss:0.8105 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802403 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791081 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784871 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779872 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772512 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76492 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75989 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761948 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.756476 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752642 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752155 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746077 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.741283 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.737026 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.735017 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733734 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731341 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728326 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.727616 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726861 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728205 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725372 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727198 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730473 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727987 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.727509 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.728297 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725372 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.9402 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918846 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904401 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891229 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88354 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.881678 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.876227 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.862392 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.852944 [14] validation_0-merror:0.35 validation_0-mlogloss:0.839514 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.833423 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.82648 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.820173 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.811068 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.803809 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.798833 [21] validation_0-merror:0.3 validation_0-mlogloss:0.793939 [22] validation_0-merror:0.3 validation_0-mlogloss:0.792221 [23] validation_0-merror:0.3 validation_0-mlogloss:0.786719 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782477 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778088 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.77217 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770853 [28] validation_0-merror:0.3 validation_0-mlogloss:0.765387 [29] validation_0-merror:0.3 validation_0-mlogloss:0.763538 [30] validation_0-merror:0.3 validation_0-mlogloss:0.763526 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.761217 [32] validation_0-merror:0.3 validation_0-mlogloss:0.759733 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.754573 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.751749 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.752218 [36] validation_0-merror:0.3 validation_0-mlogloss:0.752102 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748713 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.746973 [39] validation_0-merror:0.3 validation_0-mlogloss:0.744218 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.74099 [41] validation_0-merror:0.3 validation_0-mlogloss:0.738586 [42] validation_0-merror:0.3 validation_0-mlogloss:0.738218 [43] validation_0-merror:0.3 validation_0-mlogloss:0.736855 [44] validation_0-merror:0.3 validation_0-mlogloss:0.735796 [45] validation_0-merror:0.3 validation_0-mlogloss:0.73545 [46] validation_0-merror:0.3 validation_0-mlogloss:0.734088 [47] validation_0-merror:0.3 validation_0-mlogloss:0.73221 [48] validation_0-merror:0.3 validation_0-mlogloss:0.731242 [49] validation_0-merror:0.3 validation_0-mlogloss:0.730554 [50] validation_0-merror:0.3 validation_0-mlogloss:0.729801 [51] validation_0-merror:0.3 validation_0-mlogloss:0.72985 [52] validation_0-merror:0.3 validation_0-mlogloss:0.731914 [53] validation_0-merror:0.3 validation_0-mlogloss:0.730381 [54] validation_0-merror:0.3 validation_0-mlogloss:0.733085 [55] validation_0-merror:0.3 validation_0-mlogloss:0.733651 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.729801 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02634 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99714 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971102 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.951412 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932375 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.915287 [7] validation_0-merror:0.4 validation_0-mlogloss:0.901194 [8] validation_0-merror:0.4 validation_0-mlogloss:0.887454 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.875624 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.865081 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854588 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.845945 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830317 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816882 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812255 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799933 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789782 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775686 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770174 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767811 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764588 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.763545 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760117 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75741 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753893 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.753182 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750727 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751225 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.749876 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744214 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744501 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742093 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.737774 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734351 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.734579 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.732065 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731541 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.729005 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727395 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.727653 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.727571 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.727184 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.726734 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.72283 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.722194 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.718953 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.716846 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.714221 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.712129 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.714377 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.710455 [53] validation_0-merror:0.3 validation_0-mlogloss:0.707958 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.707786 [55] validation_0-merror:0.3 validation_0-mlogloss:0.706336 [56] validation_0-merror:0.3 validation_0-mlogloss:0.705858 [57] validation_0-merror:0.3 validation_0-mlogloss:0.704507 [58] validation_0-merror:0.3 validation_0-mlogloss:0.702848 [59] validation_0-merror:0.3 validation_0-mlogloss:0.703055 [60] validation_0-merror:0.3 validation_0-mlogloss:0.704152 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.702605 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.700554 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.700595 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.699292 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.699719 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.698988 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.699254 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.697414 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.699228 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.698823 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.698409 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.697833 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.69792 Stopping. Best iteration: [68] validation_0-merror:0.283333 validation_0-mlogloss:0.697414 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01983 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966793 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941737 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923955 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908105 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891598 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877591 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863862 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851508 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.841273 [12] validation_0-merror:0.35 validation_0-mlogloss:0.831493 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823549 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815229 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805702 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800349 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794707 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785836 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779122 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772966 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.767883 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.762341 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757544 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754145 [25] validation_0-merror:0.35 validation_0-mlogloss:0.746325 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744342 [27] validation_0-merror:0.35 validation_0-mlogloss:0.737727 [28] validation_0-merror:0.35 validation_0-mlogloss:0.737374 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733455 [30] validation_0-merror:0.35 validation_0-mlogloss:0.729751 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.730369 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727748 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724424 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72467 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724495 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.72175 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.721044 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717799 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.720324 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.718287 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.719521 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.719715 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.719305 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717799 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948388 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930354 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915711 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900306 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889916 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881443 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.871604 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866551 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.856969 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.852287 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.842581 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.838784 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.833819 [17] validation_0-merror:0.35 validation_0-mlogloss:0.828841 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.828159 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.822714 [20] validation_0-merror:0.35 validation_0-mlogloss:0.818137 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.811025 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.808905 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.79845 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.794665 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.79168 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.783504 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.782028 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.779132 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.776676 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.776487 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.769664 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.768361 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767628 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.764184 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.763065 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.759225 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.752512 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.753163 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.748964 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.747243 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.74384 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.74327 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.741537 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.741049 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.737133 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.734674 [47] validation_0-merror:0.3 validation_0-mlogloss:0.732469 [48] validation_0-merror:0.3 validation_0-mlogloss:0.730758 [49] validation_0-merror:0.3 validation_0-mlogloss:0.731181 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.7304 [51] validation_0-merror:0.3 validation_0-mlogloss:0.730126 [52] validation_0-merror:0.3 validation_0-mlogloss:0.728252 [53] validation_0-merror:0.3 validation_0-mlogloss:0.724826 [54] validation_0-merror:0.3 validation_0-mlogloss:0.724457 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.722752 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.719242 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.718681 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.717573 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.715751 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.716438 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.715615 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.717248 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.716874 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.718474 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.718621 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.717876 Stopping. Best iteration: [61] validation_0-merror:0.266667 validation_0-mlogloss:0.715615 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0498 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0088 [2] validation_0-merror:0.35 validation_0-mlogloss:0.976681 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949364 [4] validation_0-merror:0.35 validation_0-mlogloss:0.921805 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.897095 [6] validation_0-merror:0.3 validation_0-mlogloss:0.878475 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861539 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.83945 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.822906 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813147 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803992 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798034 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790779 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784391 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774493 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.764726 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758057 [18] validation_0-merror:0.3 validation_0-mlogloss:0.748375 [19] validation_0-merror:0.3 validation_0-mlogloss:0.740978 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.734444 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.734012 [22] validation_0-merror:0.25 validation_0-mlogloss:0.731861 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.729099 [24] validation_0-merror:0.25 validation_0-mlogloss:0.720903 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.716593 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.717441 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.709687 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.710911 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.710005 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.707384 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.707148 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.712952 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.712845 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712963 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.713205 [36] validation_0-merror:0.25 validation_0-mlogloss:0.71569 Stopping. Best iteration: [31] validation_0-merror:0.266667 validation_0-mlogloss:0.707148 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05777 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01552 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.976628 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945101 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.924549 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.904074 [6] validation_0-merror:0.4 validation_0-mlogloss:0.88674 [7] validation_0-merror:0.4 validation_0-mlogloss:0.872299 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853383 [9] validation_0-merror:0.4 validation_0-mlogloss:0.848267 [10] validation_0-merror:0.4 validation_0-mlogloss:0.837131 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827738 [12] validation_0-merror:0.4 validation_0-mlogloss:0.829154 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819818 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805693 [15] validation_0-merror:0.35 validation_0-mlogloss:0.793544 [16] validation_0-merror:0.35 validation_0-mlogloss:0.784618 [17] validation_0-merror:0.35 validation_0-mlogloss:0.784177 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776115 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771437 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.769132 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765673 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767141 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759134 [24] validation_0-merror:0.35 validation_0-mlogloss:0.757741 [25] validation_0-merror:0.35 validation_0-mlogloss:0.762714 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.762985 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.767031 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767777 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766899 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.757741 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0523 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01734 [2] validation_0-merror:0.4 validation_0-mlogloss:0.988807 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956223 [4] validation_0-merror:0.35 validation_0-mlogloss:0.926318 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904185 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884726 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868204 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857474 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840721 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837976 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829212 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.810988 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808085 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796604 [15] validation_0-merror:0.3 validation_0-mlogloss:0.780697 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775825 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.760315 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.764389 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762308 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.76173 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.759095 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755694 [23] validation_0-merror:0.3 validation_0-mlogloss:0.756888 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756408 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751944 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753613 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.748336 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747562 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.745836 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.744269 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743405 [32] validation_0-merror:0.3 validation_0-mlogloss:0.743964 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744511 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742494 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.745161 [36] validation_0-merror:0.3 validation_0-mlogloss:0.748386 [37] validation_0-merror:0.3 validation_0-mlogloss:0.743279 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.742007 [39] validation_0-merror:0.3 validation_0-mlogloss:0.744403 [40] validation_0-merror:0.3 validation_0-mlogloss:0.744192 [41] validation_0-merror:0.3 validation_0-mlogloss:0.743568 [42] validation_0-merror:0.3 validation_0-mlogloss:0.748645 [43] validation_0-merror:0.3 validation_0-mlogloss:0.745995 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.742007 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04643 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00166 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.961866 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.938403 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.912615 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.886898 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.866371 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.845911 [8] validation_0-merror:0.3 validation_0-mlogloss:0.827093 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.813105 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.799353 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.782511 [12] validation_0-merror:0.3 validation_0-mlogloss:0.77298 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.765898 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.754496 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.750749 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.743646 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.739066 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.729175 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.725113 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.717647 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.707305 [22] validation_0-merror:0.25 validation_0-mlogloss:0.70351 [23] validation_0-merror:0.25 validation_0-mlogloss:0.696755 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.689109 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.684184 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.682808 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.680386 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.680578 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.678836 [30] validation_0-merror:0.25 validation_0-mlogloss:0.674755 [31] validation_0-merror:0.25 validation_0-mlogloss:0.67996 [32] validation_0-merror:0.25 validation_0-mlogloss:0.679746 [33] validation_0-merror:0.25 validation_0-mlogloss:0.681724 [34] validation_0-merror:0.25 validation_0-mlogloss:0.679362 [35] validation_0-merror:0.25 validation_0-mlogloss:0.676715 Stopping. Best iteration: [30] validation_0-merror:0.25 validation_0-mlogloss:0.674755 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05168 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01211 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.975949 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.936936 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.910434 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894564 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881011 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865692 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851077 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.842255 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.833275 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825752 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823645 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820479 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811413 [15] validation_0-merror:0.35 validation_0-mlogloss:0.808747 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801083 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799426 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.792718 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.787016 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.784652 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.777038 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.781945 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7784 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.777007 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.776218 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.775044 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.769515 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.771523 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.772693 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.777556 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.78069 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783953 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.769515 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05016 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00679 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975942 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.941683 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923681 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.908509 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.888521 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.870044 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.852572 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847781 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.837723 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.835509 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828308 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.821087 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.816994 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.80793 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.802137 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.791115 [18] validation_0-merror:0.3 validation_0-mlogloss:0.789544 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778177 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.773427 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.772919 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.769563 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.769815 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.763887 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.759441 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.757976 [27] validation_0-merror:0.3 validation_0-mlogloss:0.756304 [28] validation_0-merror:0.3 validation_0-mlogloss:0.758274 [29] validation_0-merror:0.3 validation_0-mlogloss:0.762107 [30] validation_0-merror:0.3 validation_0-mlogloss:0.767603 [31] validation_0-merror:0.3 validation_0-mlogloss:0.769154 [32] validation_0-merror:0.3 validation_0-mlogloss:0.767977 Stopping. Best iteration: [27] validation_0-merror:0.3 validation_0-mlogloss:0.756304 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04308 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:0.997542 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.96152 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.931366 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.907141 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.883906 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.864809 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.847118 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.832579 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.814731 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.799987 [11] validation_0-merror:0.3 validation_0-mlogloss:0.789118 [12] validation_0-merror:0.3 validation_0-mlogloss:0.775636 [13] validation_0-merror:0.3 validation_0-mlogloss:0.769423 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.760028 [15] validation_0-merror:0.3 validation_0-mlogloss:0.74906 [16] validation_0-merror:0.3 validation_0-mlogloss:0.746364 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.742746 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.739179 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.73216 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.723949 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.719113 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.712682 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.71441 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708849 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706357 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.704855 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.703537 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.702362 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.697743 [30] validation_0-merror:0.25 validation_0-mlogloss:0.696399 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.694942 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.688147 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.68677 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.684456 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.683182 [36] validation_0-merror:0.25 validation_0-mlogloss:0.68009 [37] validation_0-merror:0.25 validation_0-mlogloss:0.67998 [38] validation_0-merror:0.25 validation_0-mlogloss:0.680518 [39] validation_0-merror:0.25 validation_0-mlogloss:0.679001 [40] validation_0-merror:0.25 validation_0-mlogloss:0.679756 [41] validation_0-merror:0.25 validation_0-mlogloss:0.677171 [42] validation_0-merror:0.25 validation_0-mlogloss:0.675411 [43] validation_0-merror:0.25 validation_0-mlogloss:0.675812 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.67744 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676108 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.676055 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.678609 Stopping. Best iteration: [42] validation_0-merror:0.25 validation_0-mlogloss:0.675411 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04824 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00656 [2] validation_0-merror:0.35 validation_0-mlogloss:0.968465 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.940066 [4] validation_0-merror:0.35 validation_0-mlogloss:0.9158 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.891116 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877802 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868125 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.861959 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.855846 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.851381 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.840694 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828882 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.824129 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.814014 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812801 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805943 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798876 [18] validation_0-merror:0.35 validation_0-mlogloss:0.802119 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.800617 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.796345 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.801909 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.800154 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.805368 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.806102 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.804376 Stopping. Best iteration: [20] validation_0-merror:0.333333 validation_0-mlogloss:0.796345 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00947 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97369 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.946729 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918815 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.89899 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.878539 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.863341 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.859106 [9] validation_0-merror:0.35 validation_0-mlogloss:0.854625 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843221 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83592 [12] validation_0-merror:0.35 validation_0-mlogloss:0.832653 [13] validation_0-merror:0.35 validation_0-mlogloss:0.829986 [14] validation_0-merror:0.35 validation_0-mlogloss:0.831012 [15] validation_0-merror:0.35 validation_0-mlogloss:0.826985 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.825737 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.826753 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.826745 [19] validation_0-merror:0.35 validation_0-mlogloss:0.829522 [20] validation_0-merror:0.35 validation_0-mlogloss:0.830766 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.833287 Stopping. Best iteration: [16] validation_0-merror:0.333333 validation_0-mlogloss:0.825737 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00533 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977055 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950388 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.923979 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90174 [6] validation_0-merror:0.35 validation_0-mlogloss:0.883227 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.870327 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850313 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835435 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824861 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817748 [12] validation_0-merror:0.35 validation_0-mlogloss:0.814322 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808805 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801338 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792239 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.788295 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.782208 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774245 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767138 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757708 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753174 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748576 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.74186 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734225 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.728032 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.726156 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.721102 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713575 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713745 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.712585 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.711765 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715023 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.71197 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709593 [35] validation_0-merror:0.3 validation_0-mlogloss:0.713144 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.716474 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.722873 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721942 [39] validation_0-merror:0.3 validation_0-mlogloss:0.71626 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.709593 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06043 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02067 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984991 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951411 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928332 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909748 [6] validation_0-merror:0.4 validation_0-mlogloss:0.888928 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869725 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851878 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.843345 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.834847 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827152 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.824725 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812885 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.803566 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793074 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789635 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787051 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.780805 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.771706 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.770002 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764504 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764431 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760254 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758515 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761993 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760464 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.76917 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.761342 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.76003 Stopping. Best iteration: [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758515 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05143 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01565 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984354 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953167 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923683 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904745 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.887451 [7] validation_0-merror:0.35 validation_0-mlogloss:0.874576 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85841 [9] validation_0-merror:0.3 validation_0-mlogloss:0.843961 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841112 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830698 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815527 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.81291 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796094 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780989 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.771932 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757893 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759943 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759945 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760433 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755936 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.750206 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748948 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75432 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755119 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750569 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.745106 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739364 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742666 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.740984 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.74274 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.744487 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.742522 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739364 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04882 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00763 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.968385 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.940199 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.917693 [5] validation_0-merror:0.35 validation_0-mlogloss:0.892025 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870285 [7] validation_0-merror:0.35 validation_0-mlogloss:0.85092 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.83895 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820501 [10] validation_0-merror:0.3 validation_0-mlogloss:0.80936 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.793636 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.779796 [13] validation_0-merror:0.3 validation_0-mlogloss:0.77253 [14] validation_0-merror:0.3 validation_0-mlogloss:0.766214 [15] validation_0-merror:0.3 validation_0-mlogloss:0.758215 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.751373 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.748492 [18] validation_0-merror:0.3 validation_0-mlogloss:0.740467 [19] validation_0-merror:0.3 validation_0-mlogloss:0.733827 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.723085 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.71535 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.711463 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.706503 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.702125 [25] validation_0-merror:0.3 validation_0-mlogloss:0.697843 [26] validation_0-merror:0.3 validation_0-mlogloss:0.697452 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.690684 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.687518 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689063 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.686037 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688589 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.691433 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691102 [34] validation_0-merror:0.3 validation_0-mlogloss:0.693132 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690327 Stopping. Best iteration: [30] validation_0-merror:0.283333 validation_0-mlogloss:0.686037 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977373 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.938858 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.916988 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.901405 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.883356 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871895 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853407 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.839566 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.831546 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.819974 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813166 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.810696 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.799697 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.794885 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.788653 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788626 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782644 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778666 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777406 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769532 [22] validation_0-merror:0.35 validation_0-mlogloss:0.769772 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76344 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759564 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755679 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750756 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74975 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750142 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.750361 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.75349 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751091 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.754824 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74975 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05179 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00871 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978853 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941625 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922031 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903636 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879789 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859906 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851342 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847918 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840283 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.837431 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823911 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815199 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801727 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792652 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786254 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.779506 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778627 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771871 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764283 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762591 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759498 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756687 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750318 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75132 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749838 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.749421 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.751991 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752166 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.749758 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.749608 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.743689 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744786 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743977 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.748293 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738642 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742428 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.744107 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.746372 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.749566 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.747527 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738642 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00459 [2] validation_0-merror:0.3 validation_0-mlogloss:0.971758 [3] validation_0-merror:0.3 validation_0-mlogloss:0.940936 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914818 [5] validation_0-merror:0.3 validation_0-mlogloss:0.894101 [6] validation_0-merror:0.3 validation_0-mlogloss:0.874383 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856188 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839968 [9] validation_0-merror:0.3 validation_0-mlogloss:0.825576 [10] validation_0-merror:0.3 validation_0-mlogloss:0.813633 [11] validation_0-merror:0.3 validation_0-mlogloss:0.805755 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800397 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790685 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785345 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780231 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774003 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765787 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.760566 [19] validation_0-merror:0.35 validation_0-mlogloss:0.754795 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746105 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.740075 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.737611 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736389 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.734728 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734095 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.732786 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.730642 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.730191 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728623 [31] validation_0-merror:0.3 validation_0-mlogloss:0.723146 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.721147 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.721669 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.7215 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.719322 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.720391 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.718705 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.720244 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.719253 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.720889 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.723953 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.722352 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.718705 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0056 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.96983 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.941959 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.887984 [6] validation_0-merror:0.4 validation_0-mlogloss:0.867029 [7] validation_0-merror:0.4 validation_0-mlogloss:0.856004 [8] validation_0-merror:0.4 validation_0-mlogloss:0.841459 [9] validation_0-merror:0.4 validation_0-mlogloss:0.830587 [10] validation_0-merror:0.4 validation_0-mlogloss:0.824502 [11] validation_0-merror:0.4 validation_0-mlogloss:0.82251 [12] validation_0-merror:0.4 validation_0-mlogloss:0.815382 [13] validation_0-merror:0.4 validation_0-mlogloss:0.803098 [14] validation_0-merror:0.4 validation_0-mlogloss:0.805102 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.795149 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797782 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791706 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786967 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.790218 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784178 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778932 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.781018 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.773192 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.775263 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772598 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.776416 [27] validation_0-merror:0.35 validation_0-mlogloss:0.7777 [28] validation_0-merror:0.35 validation_0-mlogloss:0.777529 [29] validation_0-merror:0.35 validation_0-mlogloss:0.781445 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.77862 Stopping. Best iteration: [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772598 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0061 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.971021 [3] validation_0-merror:0.35 validation_0-mlogloss:0.93929 [4] validation_0-merror:0.35 validation_0-mlogloss:0.918285 [5] validation_0-merror:0.35 validation_0-mlogloss:0.8948 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879214 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863474 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855455 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84401 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830015 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824423 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819176 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813857 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810589 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80661 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.805927 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.804268 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.799251 [19] validation_0-merror:0.3 validation_0-mlogloss:0.792015 [20] validation_0-merror:0.3 validation_0-mlogloss:0.78624 [21] validation_0-merror:0.3 validation_0-mlogloss:0.785733 [22] validation_0-merror:0.3 validation_0-mlogloss:0.78674 [23] validation_0-merror:0.3 validation_0-mlogloss:0.781746 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782412 [25] validation_0-merror:0.3 validation_0-mlogloss:0.779728 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.77725 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.773638 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.77137 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771114 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.767076 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.766769 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767652 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.76796 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.768878 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.77321 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.776953 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.766769 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0474 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00758 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978024 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947655 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922339 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903606 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.885703 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868012 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851138 [9] validation_0-merror:0.35 validation_0-mlogloss:0.836174 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825118 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806655 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796847 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788266 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.782554 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777395 [17] validation_0-merror:0.35 validation_0-mlogloss:0.770972 [18] validation_0-merror:0.35 validation_0-mlogloss:0.764352 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.758168 [20] validation_0-merror:0.35 validation_0-mlogloss:0.74972 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744336 [22] validation_0-merror:0.35 validation_0-mlogloss:0.743155 [23] validation_0-merror:0.35 validation_0-mlogloss:0.735713 [24] validation_0-merror:0.35 validation_0-mlogloss:0.727397 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.722967 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.724625 [27] validation_0-merror:0.35 validation_0-mlogloss:0.719273 [28] validation_0-merror:0.35 validation_0-mlogloss:0.713544 [29] validation_0-merror:0.35 validation_0-mlogloss:0.715856 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.715945 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.716646 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.720014 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72461 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.713544 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06082 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02105 [2] validation_0-merror:0.4 validation_0-mlogloss:0.986827 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951891 [4] validation_0-merror:0.4 validation_0-mlogloss:0.925831 [5] validation_0-merror:0.4 validation_0-mlogloss:0.904262 [6] validation_0-merror:0.4 validation_0-mlogloss:0.885809 [7] validation_0-merror:0.4 validation_0-mlogloss:0.870844 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853053 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.844616 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.837065 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828397 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826082 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817574 [14] validation_0-merror:0.4 validation_0-mlogloss:0.812642 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800631 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794375 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791543 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786249 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781131 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.78173 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771007 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.767438 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764332 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761996 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759048 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.7537 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.752595 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.742512 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.741182 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.743472 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744374 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74204 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.744959 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.752711 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.741182 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02902 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994876 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964174 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943566 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923462 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902388 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.888746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.87231 [9] validation_0-merror:0.3 validation_0-mlogloss:0.858631 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852933 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838482 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824708 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818581 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802619 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78694 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778561 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770973 [18] validation_0-merror:0.3 validation_0-mlogloss:0.7694 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763948 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767305 [21] validation_0-merror:0.3 validation_0-mlogloss:0.767923 [22] validation_0-merror:0.3 validation_0-mlogloss:0.764384 [23] validation_0-merror:0.3 validation_0-mlogloss:0.761516 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.761803 [25] validation_0-merror:0.3 validation_0-mlogloss:0.759849 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.753907 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747568 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740475 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.739963 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.737371 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.736995 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739316 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742003 [34] validation_0-merror:0.35 validation_0-mlogloss:0.739843 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.738933 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.739436 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.736995 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04806 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00581 [2] validation_0-merror:0.35 validation_0-mlogloss:0.971205 [3] validation_0-merror:0.35 validation_0-mlogloss:0.944102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921002 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898268 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.877656 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856559 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.840512 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.822826 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812807 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.794815 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.784101 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.778302 [14] validation_0-merror:0.3 validation_0-mlogloss:0.772288 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.76306 [16] validation_0-merror:0.3 validation_0-mlogloss:0.754067 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.749371 [18] validation_0-merror:0.3 validation_0-mlogloss:0.741356 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.739311 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731846 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.724416 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.718986 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.715916 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.712631 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.707792 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705172 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.698175 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.695268 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.69665 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.696443 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694161 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.69574 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.695461 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697348 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.697581 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.69847 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.694161 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04893 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01208 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974345 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.936514 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917144 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.90314 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886206 [7] validation_0-merror:0.4 validation_0-mlogloss:0.872624 [8] validation_0-merror:0.4 validation_0-mlogloss:0.857509 [9] validation_0-merror:0.4 validation_0-mlogloss:0.844678 [10] validation_0-merror:0.4 validation_0-mlogloss:0.833061 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.825441 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.818925 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.810997 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.798649 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.792042 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786896 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.783333 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777879 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77482 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.773332 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766459 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.77155 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767119 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762952 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763825 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759835 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758231 [28] validation_0-merror:0.35 validation_0-mlogloss:0.758128 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.761158 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762767 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.767659 [32] validation_0-merror:0.35 validation_0-mlogloss:0.766877 [33] validation_0-merror:0.35 validation_0-mlogloss:0.770161 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.758128 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05153 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01114 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.978257 [3] validation_0-merror:0.3 validation_0-mlogloss:0.942683 [4] validation_0-merror:0.3 validation_0-mlogloss:0.924223 [5] validation_0-merror:0.3 validation_0-mlogloss:0.908901 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885982 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866379 [8] validation_0-merror:0.3 validation_0-mlogloss:0.856405 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851358 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848961 [11] validation_0-merror:0.3 validation_0-mlogloss:0.845082 [12] validation_0-merror:0.3 validation_0-mlogloss:0.835102 [13] validation_0-merror:0.3 validation_0-mlogloss:0.83264 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.821676 [15] validation_0-merror:0.3 validation_0-mlogloss:0.812203 [16] validation_0-merror:0.3 validation_0-mlogloss:0.802816 [17] validation_0-merror:0.3 validation_0-mlogloss:0.795707 [18] validation_0-merror:0.3 validation_0-mlogloss:0.794099 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.78575 [20] validation_0-merror:0.3 validation_0-mlogloss:0.777766 [21] validation_0-merror:0.3 validation_0-mlogloss:0.775948 [22] validation_0-merror:0.3 validation_0-mlogloss:0.770099 [23] validation_0-merror:0.3 validation_0-mlogloss:0.767304 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76809 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.768996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.768222 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763487 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.765573 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.766112 [30] validation_0-merror:0.3 validation_0-mlogloss:0.770246 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.769948 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767683 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763487 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00284 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967918 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.936955 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909614 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889272 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872563 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855737 [8] validation_0-merror:0.35 validation_0-mlogloss:0.842505 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829982 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817192 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807859 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800604 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795757 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788036 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.784446 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776713 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772248 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768737 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763789 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759225 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758717 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.757218 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755899 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757583 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755556 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753195 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.749023 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749395 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743943 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.743541 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.74346 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741953 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.740373 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.735733 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.734588 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.732665 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730454 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.728192 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.724187 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.722692 [41] validation_0-merror:0.3 validation_0-mlogloss:0.720483 [42] validation_0-merror:0.3 validation_0-mlogloss:0.716794 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.717413 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.717057 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.716839 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.713899 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.713491 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.712796 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.713363 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.712682 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.713734 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.716947 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.715859 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.717198 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.717296 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.712682 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04812 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00296 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.965932 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.934266 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907489 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886719 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.869001 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.848628 [8] validation_0-merror:0.35 validation_0-mlogloss:0.834785 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826323 [10] validation_0-merror:0.35 validation_0-mlogloss:0.816756 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8033 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788519 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.783934 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781664 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774988 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771612 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765488 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.765641 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763869 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7604 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760542 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755213 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755349 [25] validation_0-merror:0.35 validation_0-mlogloss:0.756782 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755546 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754695 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753711 [29] validation_0-merror:0.35 validation_0-mlogloss:0.756821 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755424 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755926 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759003 [33] validation_0-merror:0.35 validation_0-mlogloss:0.759881 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.753711 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00672 [2] validation_0-merror:0.35 validation_0-mlogloss:0.9738 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9445 [4] validation_0-merror:0.35 validation_0-mlogloss:0.920481 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.900329 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881901 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870213 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8566 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842111 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83348 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824557 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822292 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.817244 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.814152 [15] validation_0-merror:0.3 validation_0-mlogloss:0.814138 [16] validation_0-merror:0.3 validation_0-mlogloss:0.813865 [17] validation_0-merror:0.3 validation_0-mlogloss:0.812499 [18] validation_0-merror:0.3 validation_0-mlogloss:0.810448 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807032 [20] validation_0-merror:0.3 validation_0-mlogloss:0.801907 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801146 [22] validation_0-merror:0.3 validation_0-mlogloss:0.799648 [23] validation_0-merror:0.3 validation_0-mlogloss:0.800547 [24] validation_0-merror:0.3 validation_0-mlogloss:0.799634 [25] validation_0-merror:0.3 validation_0-mlogloss:0.800605 [26] validation_0-merror:0.3 validation_0-mlogloss:0.794687 [27] validation_0-merror:0.3 validation_0-mlogloss:0.794751 [28] validation_0-merror:0.3 validation_0-mlogloss:0.792767 [29] validation_0-merror:0.3 validation_0-mlogloss:0.78892 [30] validation_0-merror:0.3 validation_0-mlogloss:0.78944 [31] validation_0-merror:0.3 validation_0-mlogloss:0.787215 [32] validation_0-merror:0.3 validation_0-mlogloss:0.782327 [33] validation_0-merror:0.3 validation_0-mlogloss:0.781446 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.777484 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.778386 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.777928 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.777508 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.778469 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.77751 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.777484 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01121 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947872 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.924403 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.903748 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886604 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869815 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85653 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83923 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829076 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818297 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809294 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803847 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799683 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788482 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774202 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77075 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764825 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759842 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.749726 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746083 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.741039 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729677 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722365 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715571 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.717046 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706763 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.705651 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705971 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706593 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707086 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705211 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70567 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703797 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702526 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.706292 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.709785 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707457 [39] validation_0-merror:0.3 validation_0-mlogloss:0.706639 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704504 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.702526 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0218 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.989858 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957424 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.935012 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914057 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.894948 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.880959 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860954 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.850463 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840686 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828062 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824578 [13] validation_0-merror:0.4 validation_0-mlogloss:0.81621 [14] validation_0-merror:0.4 validation_0-mlogloss:0.806313 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.796442 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.785719 [17] validation_0-merror:0.4 validation_0-mlogloss:0.782741 [18] validation_0-merror:0.4 validation_0-mlogloss:0.780629 [19] validation_0-merror:0.4 validation_0-mlogloss:0.774884 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772435 [21] validation_0-merror:0.4 validation_0-mlogloss:0.768989 [22] validation_0-merror:0.4 validation_0-mlogloss:0.768821 [23] validation_0-merror:0.4 validation_0-mlogloss:0.765484 [24] validation_0-merror:0.4 validation_0-mlogloss:0.761578 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763524 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756947 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.754421 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.751784 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.750315 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.750257 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.751317 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.751253 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.75167 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.758378 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.762311 Stopping. Best iteration: [30] validation_0-merror:0.383333 validation_0-mlogloss:0.750257 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996558 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966141 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.944445 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926224 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910136 [7] validation_0-merror:0.35 validation_0-mlogloss:0.896024 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879339 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868083 [10] validation_0-merror:0.3 validation_0-mlogloss:0.860432 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.850331 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.834639 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828052 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.819384 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.809188 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.802549 [17] validation_0-merror:0.35 validation_0-mlogloss:0.796549 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.793422 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789594 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789877 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783844 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.781792 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.775077 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773005 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.771154 [26] validation_0-merror:0.35 validation_0-mlogloss:0.763135 [27] validation_0-merror:0.35 validation_0-mlogloss:0.76105 [28] validation_0-merror:0.35 validation_0-mlogloss:0.756077 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.755162 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.750899 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748328 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.750525 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749486 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.74846 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.74824 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.748448 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.745642 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.743991 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.739252 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.739107 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.735036 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.740112 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.737564 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.735593 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.732688 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735443 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.738346 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.738596 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.736602 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.73836 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.732688 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0104 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978422 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951302 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.92994 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909073 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888078 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869152 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853425 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.835996 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.823556 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805646 [12] validation_0-merror:0.35 validation_0-mlogloss:0.793714 [13] validation_0-merror:0.35 validation_0-mlogloss:0.787622 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784461 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776047 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766222 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76101 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754606 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751225 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742621 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736655 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728748 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727662 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.721784 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723695 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.723106 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717596 [28] validation_0-merror:0.3 validation_0-mlogloss:0.716796 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716471 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715738 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.714829 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713514 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712248 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711887 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706411 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.710599 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.70792 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.707669 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.707344 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.709316 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706411 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05123 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01506 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.981119 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945686 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922719 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.903699 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.88385 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.874121 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860267 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.845425 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83195 [11] validation_0-merror:0.4 validation_0-mlogloss:0.825662 [12] validation_0-merror:0.4 validation_0-mlogloss:0.818626 [13] validation_0-merror:0.4 validation_0-mlogloss:0.810394 [14] validation_0-merror:0.4 validation_0-mlogloss:0.798439 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.790264 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.782407 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.777349 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.772287 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.765587 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.765001 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.759924 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.765709 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760493 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763343 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765846 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761355 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.759924 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01394 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984919 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.954291 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.93538 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921099 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900318 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883399 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.877171 [9] validation_0-merror:0.3 validation_0-mlogloss:0.872253 [10] validation_0-merror:0.35 validation_0-mlogloss:0.868365 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.860731 [12] validation_0-merror:0.3 validation_0-mlogloss:0.851103 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.845948 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.834466 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.823466 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.814727 [17] validation_0-merror:0.3 validation_0-mlogloss:0.811054 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.807171 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.798103 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.793344 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.795635 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.78938 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.786899 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.785194 [25] validation_0-merror:0.3 validation_0-mlogloss:0.782468 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778387 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.778799 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.781112 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781618 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.781675 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.783696 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778387 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05115 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01325 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98193 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955006 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93031 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911834 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895944 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881547 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8685 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.856251 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.8469 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839339 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831672 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823979 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818041 [15] validation_0-merror:0.35 validation_0-mlogloss:0.810131 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805457 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79848 [18] validation_0-merror:0.35 validation_0-mlogloss:0.790998 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780181 [20] validation_0-merror:0.35 validation_0-mlogloss:0.780152 [21] validation_0-merror:0.35 validation_0-mlogloss:0.780535 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777905 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772921 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766286 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.763865 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763611 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.761868 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.760558 [29] validation_0-merror:0.3 validation_0-mlogloss:0.759353 [30] validation_0-merror:0.3 validation_0-mlogloss:0.759326 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.759995 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.75988 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.759797 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.760706 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.75872 [36] validation_0-merror:0.3 validation_0-mlogloss:0.758569 [37] validation_0-merror:0.3 validation_0-mlogloss:0.756658 [38] validation_0-merror:0.3 validation_0-mlogloss:0.756906 [39] validation_0-merror:0.3 validation_0-mlogloss:0.75657 [40] validation_0-merror:0.3 validation_0-mlogloss:0.755244 [41] validation_0-merror:0.3 validation_0-mlogloss:0.756957 [42] validation_0-merror:0.3 validation_0-mlogloss:0.754077 [43] validation_0-merror:0.3 validation_0-mlogloss:0.755765 [44] validation_0-merror:0.3 validation_0-mlogloss:0.755 [45] validation_0-merror:0.3 validation_0-mlogloss:0.755095 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.75452 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.756323 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.754077 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00745 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.972475 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.943128 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92014 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901041 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.880186 [7] validation_0-merror:0.4 validation_0-mlogloss:0.865568 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.849326 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.839123 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.826499 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.819813 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.812505 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.803634 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.803521 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794649 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.79216 [17] validation_0-merror:0.35 validation_0-mlogloss:0.786905 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781376 [19] validation_0-merror:0.35 validation_0-mlogloss:0.778346 [20] validation_0-merror:0.35 validation_0-mlogloss:0.778392 [21] validation_0-merror:0.35 validation_0-mlogloss:0.776533 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776139 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774909 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773241 [25] validation_0-merror:0.35 validation_0-mlogloss:0.770616 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.774549 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.774187 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.771707 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.769946 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.770309 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.768874 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.769302 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.769143 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.768994 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.770508 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.775308 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.768874 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01381 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980598 [3] validation_0-merror:0.35 validation_0-mlogloss:0.952795 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933627 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915639 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904275 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.884354 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873737 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86142 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853742 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843255 [12] validation_0-merror:0.3 validation_0-mlogloss:0.836781 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.833186 [14] validation_0-merror:0.3 validation_0-mlogloss:0.829259 [15] validation_0-merror:0.3 validation_0-mlogloss:0.832337 [16] validation_0-merror:0.3 validation_0-mlogloss:0.831073 [17] validation_0-merror:0.3 validation_0-mlogloss:0.826047 [18] validation_0-merror:0.3 validation_0-mlogloss:0.818399 [19] validation_0-merror:0.3 validation_0-mlogloss:0.813242 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.810666 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.806088 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.806692 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.802937 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.799688 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.795901 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.793924 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.791371 [28] validation_0-merror:0.3 validation_0-mlogloss:0.78925 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.788676 [30] validation_0-merror:0.3 validation_0-mlogloss:0.781138 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.781831 [32] validation_0-merror:0.3 validation_0-mlogloss:0.777357 [33] validation_0-merror:0.3 validation_0-mlogloss:0.780316 [34] validation_0-merror:0.3 validation_0-mlogloss:0.780385 [35] validation_0-merror:0.3 validation_0-mlogloss:0.78025 [36] validation_0-merror:0.3 validation_0-mlogloss:0.780796 [37] validation_0-merror:0.3 validation_0-mlogloss:0.782098 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.777357 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979981 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948866 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92424 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903444 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886666 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869369 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856154 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.838828 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.825544 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.817157 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808508 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798634 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794625 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785892 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776691 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770262 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764369 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757989 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749589 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.746166 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.744183 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737319 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72929 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723535 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723494 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.717161 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.717229 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.716414 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716598 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714756 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.716516 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.713769 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.713123 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.7136 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.716418 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.721258 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.717927 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.718563 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.713123 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06499 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02584 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993767 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95958 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936225 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.916867 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897363 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881761 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862691 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853387 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.842763 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.831289 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.827274 [13] validation_0-merror:0.4 validation_0-mlogloss:0.81853 [14] validation_0-merror:0.4 validation_0-mlogloss:0.807709 [15] validation_0-merror:0.4 validation_0-mlogloss:0.797358 [16] validation_0-merror:0.4 validation_0-mlogloss:0.785321 [17] validation_0-merror:0.4 validation_0-mlogloss:0.780017 [18] validation_0-merror:0.4 validation_0-mlogloss:0.776471 [19] validation_0-merror:0.4 validation_0-mlogloss:0.767566 [20] validation_0-merror:0.4 validation_0-mlogloss:0.76287 [21] validation_0-merror:0.4 validation_0-mlogloss:0.758627 [22] validation_0-merror:0.4 validation_0-mlogloss:0.757603 [23] validation_0-merror:0.4 validation_0-mlogloss:0.75531 [24] validation_0-merror:0.4 validation_0-mlogloss:0.753041 [25] validation_0-merror:0.4 validation_0-mlogloss:0.758217 [26] validation_0-merror:0.4 validation_0-mlogloss:0.750837 [27] validation_0-merror:0.4 validation_0-mlogloss:0.747635 [28] validation_0-merror:0.4 validation_0-mlogloss:0.745888 [29] validation_0-merror:0.4 validation_0-mlogloss:0.742875 [30] validation_0-merror:0.4 validation_0-mlogloss:0.745412 [31] validation_0-merror:0.4 validation_0-mlogloss:0.747243 [32] validation_0-merror:0.4 validation_0-mlogloss:0.747818 [33] validation_0-merror:0.4 validation_0-mlogloss:0.745724 [34] validation_0-merror:0.4 validation_0-mlogloss:0.745604 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.742875 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.972535 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.952066 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932104 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.914543 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900356 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.885481 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869725 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.86365 [11] validation_0-merror:0.35 validation_0-mlogloss:0.850766 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.835237 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.828663 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817126 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806214 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798349 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790243 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789218 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781443 [20] validation_0-merror:0.35 validation_0-mlogloss:0.780399 [21] validation_0-merror:0.35 validation_0-mlogloss:0.774507 [22] validation_0-merror:0.35 validation_0-mlogloss:0.769566 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762824 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75792 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754441 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750182 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.748229 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.745251 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742697 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738121 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735327 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734444 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.734674 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.732126 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.732562 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.732601 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730499 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.733754 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.729595 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.727307 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.722268 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.722862 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.722643 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.722192 [45] validation_0-merror:0.35 validation_0-mlogloss:0.719764 [46] validation_0-merror:0.35 validation_0-mlogloss:0.72177 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.7215 [48] validation_0-merror:0.35 validation_0-mlogloss:0.717819 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.717156 [50] validation_0-merror:0.35 validation_0-mlogloss:0.716858 [51] validation_0-merror:0.35 validation_0-mlogloss:0.718457 [52] validation_0-merror:0.35 validation_0-mlogloss:0.721841 [53] validation_0-merror:0.35 validation_0-mlogloss:0.718333 [54] validation_0-merror:0.35 validation_0-mlogloss:0.719212 [55] validation_0-merror:0.35 validation_0-mlogloss:0.721025 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.716858 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01679 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.981501 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953698 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.932855 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911086 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889759 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870229 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852128 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835111 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822358 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805683 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794167 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786294 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.779969 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772543 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.764432 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763352 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.755185 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751771 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746576 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747056 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742505 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737377 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73383 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.728619 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.726883 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721601 [28] validation_0-merror:0.3 validation_0-mlogloss:0.718001 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.719964 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.716425 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714893 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715111 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.716718 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.718332 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.716 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.715783 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714893 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984893 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.95369 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929516 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913962 [6] validation_0-merror:0.4 validation_0-mlogloss:0.899117 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.887758 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873805 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.85748 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842415 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833568 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.823851 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814303 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.806346 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.802536 [16] validation_0-merror:0.4 validation_0-mlogloss:0.795911 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.78853 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779431 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774635 [20] validation_0-merror:0.4 validation_0-mlogloss:0.774252 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768162 [22] validation_0-merror:0.4 validation_0-mlogloss:0.769239 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765236 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766692 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766927 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.758958 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.758422 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761568 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.762656 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.763908 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.763707 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.761293 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.758422 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.939726 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923532 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88574 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875029 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86751 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851802 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842485 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83437 [13] validation_0-merror:0.3 validation_0-mlogloss:0.829905 [14] validation_0-merror:0.3 validation_0-mlogloss:0.821908 [15] validation_0-merror:0.3 validation_0-mlogloss:0.816407 [16] validation_0-merror:0.3 validation_0-mlogloss:0.813 [17] validation_0-merror:0.3 validation_0-mlogloss:0.80906 [18] validation_0-merror:0.3 validation_0-mlogloss:0.804461 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.791579 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.786963 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.789148 [22] validation_0-merror:0.3 validation_0-mlogloss:0.786028 [23] validation_0-merror:0.3 validation_0-mlogloss:0.782875 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782179 [25] validation_0-merror:0.3 validation_0-mlogloss:0.785141 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781686 [27] validation_0-merror:0.3 validation_0-mlogloss:0.779089 [28] validation_0-merror:0.3 validation_0-mlogloss:0.782253 [29] validation_0-merror:0.3 validation_0-mlogloss:0.779684 [30] validation_0-merror:0.3 validation_0-mlogloss:0.778055 [31] validation_0-merror:0.3 validation_0-mlogloss:0.774742 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773274 [33] validation_0-merror:0.3 validation_0-mlogloss:0.771824 [34] validation_0-merror:0.3 validation_0-mlogloss:0.770439 [35] validation_0-merror:0.3 validation_0-mlogloss:0.775134 [36] validation_0-merror:0.3 validation_0-mlogloss:0.774881 [37] validation_0-merror:0.3 validation_0-mlogloss:0.773437 [38] validation_0-merror:0.3 validation_0-mlogloss:0.769903 [39] validation_0-merror:0.3 validation_0-mlogloss:0.770235 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.769055 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.767758 [42] validation_0-merror:0.3 validation_0-mlogloss:0.766233 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.763651 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.760731 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.762917 [46] validation_0-merror:0.3 validation_0-mlogloss:0.761793 [47] validation_0-merror:0.3 validation_0-mlogloss:0.760957 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.760898 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.760442 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.760774 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.76198 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.766387 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.765581 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.764257 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.760442 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05091 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01348 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982202 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955446 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.933936 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913254 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.896802 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882665 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86913 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857459 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848201 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.838772 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831267 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.824206 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816389 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.811838 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.80632 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.802719 [18] validation_0-merror:0.35 validation_0-mlogloss:0.800383 [19] validation_0-merror:0.35 validation_0-mlogloss:0.797686 [20] validation_0-merror:0.35 validation_0-mlogloss:0.794732 [21] validation_0-merror:0.35 validation_0-mlogloss:0.79349 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.792564 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.791715 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.786162 [25] validation_0-merror:0.35 validation_0-mlogloss:0.784315 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.779517 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.779301 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.777468 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.77458 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.772229 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.769707 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.76753 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.766655 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766401 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.765121 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.763229 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.763973 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.762505 [39] validation_0-merror:0.3 validation_0-mlogloss:0.761797 [40] validation_0-merror:0.3 validation_0-mlogloss:0.761226 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.763004 [42] validation_0-merror:0.3 validation_0-mlogloss:0.761077 [43] validation_0-merror:0.3 validation_0-mlogloss:0.761599 [44] validation_0-merror:0.3 validation_0-mlogloss:0.76181 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.762641 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.761957 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.759367 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.759849 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.758093 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.75763 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.753938 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.754118 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.754035 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.750005 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.749818 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.748304 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.746393 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.746145 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.745934 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.743423 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.742175 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.741402 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.739675 [64] validation_0-merror:0.333333 validation_0-mlogloss:0.739272 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.738531 [66] validation_0-merror:0.316667 validation_0-mlogloss:0.737034 [67] validation_0-merror:0.316667 validation_0-mlogloss:0.73768 [68] validation_0-merror:0.316667 validation_0-mlogloss:0.736857 [69] validation_0-merror:0.316667 validation_0-mlogloss:0.735615 [70] validation_0-merror:0.316667 validation_0-mlogloss:0.737461 [71] validation_0-merror:0.316667 validation_0-mlogloss:0.737455 [72] validation_0-merror:0.316667 validation_0-mlogloss:0.738594 [73] validation_0-merror:0.316667 validation_0-mlogloss:0.737826 [74] validation_0-merror:0.316667 validation_0-mlogloss:0.739621 Stopping. Best iteration: [69] validation_0-merror:0.316667 validation_0-mlogloss:0.735615 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04766 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00744 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974288 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945858 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920785 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.898935 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882828 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867971 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.858565 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836652 [11] validation_0-merror:0.4 validation_0-mlogloss:0.832129 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826528 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818771 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810729 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.804297 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801456 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794283 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793742 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.78876 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.787383 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.788425 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.790531 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.787978 [24] validation_0-merror:0.4 validation_0-mlogloss:0.78945 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.785953 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.7801 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.781214 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.782126 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.780223 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.7785 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.780153 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.780269 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.784554 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.788423 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.790507 Stopping. Best iteration: [30] validation_0-merror:0.383333 validation_0-mlogloss:0.7785 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01442 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978862 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95887 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.928823 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906878 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891906 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.878852 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868899 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856444 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846396 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837342 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.829705 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.827245 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.824027 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.819972 [16] validation_0-merror:0.35 validation_0-mlogloss:0.816917 [17] validation_0-merror:0.35 validation_0-mlogloss:0.810005 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.807977 [19] validation_0-merror:0.35 validation_0-mlogloss:0.804541 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.80095 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.79913 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.79502 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.79276 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.789494 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.785908 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.784337 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.782019 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.781319 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.776926 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.773958 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.774007 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771345 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.768197 [34] validation_0-merror:0.3 validation_0-mlogloss:0.765794 [35] validation_0-merror:0.3 validation_0-mlogloss:0.768035 [36] validation_0-merror:0.3 validation_0-mlogloss:0.76714 [37] validation_0-merror:0.3 validation_0-mlogloss:0.764501 [38] validation_0-merror:0.3 validation_0-mlogloss:0.76529 [39] validation_0-merror:0.3 validation_0-mlogloss:0.765197 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.763195 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.762552 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.760982 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.757988 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.755851 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.756891 [46] validation_0-merror:0.3 validation_0-mlogloss:0.756689 [47] validation_0-merror:0.3 validation_0-mlogloss:0.760151 [48] validation_0-merror:0.3 validation_0-mlogloss:0.760416 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.763583 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.755851 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00711 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975962 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.947347 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920986 [5] validation_0-merror:0.3 validation_0-mlogloss:0.898685 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.875933 [7] validation_0-merror:0.3 validation_0-mlogloss:0.859909 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.837469 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.820452 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811682 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.799737 [12] validation_0-merror:0.3 validation_0-mlogloss:0.793188 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785242 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.781192 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.773584 [16] validation_0-merror:0.3 validation_0-mlogloss:0.766549 [17] validation_0-merror:0.3 validation_0-mlogloss:0.763065 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753021 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.746778 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.742819 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.743959 [22] validation_0-merror:0.3 validation_0-mlogloss:0.743547 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739359 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730833 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.725048 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725493 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.71834 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.719552 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.72114 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.722414 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.72446 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.72833 Stopping. Best iteration: [27] validation_0-merror:0.283333 validation_0-mlogloss:0.71834 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0609 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01806 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.981144 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953135 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929783 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.910155 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.890363 [7] validation_0-merror:0.4 validation_0-mlogloss:0.877802 [8] validation_0-merror:0.4 validation_0-mlogloss:0.863986 [9] validation_0-merror:0.4 validation_0-mlogloss:0.859616 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.849916 [11] validation_0-merror:0.4 validation_0-mlogloss:0.842802 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.841613 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.838079 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.827244 [15] validation_0-merror:0.4 validation_0-mlogloss:0.816104 [16] validation_0-merror:0.4 validation_0-mlogloss:0.812378 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.813977 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.811606 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.806769 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.807752 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.80076 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.799715 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.793293 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.793133 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.795727 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.794159 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.793097 [28] validation_0-merror:0.35 validation_0-mlogloss:0.789394 [29] validation_0-merror:0.35 validation_0-mlogloss:0.789015 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.789728 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.79078 [32] validation_0-merror:0.35 validation_0-mlogloss:0.787278 [33] validation_0-merror:0.35 validation_0-mlogloss:0.787493 [34] validation_0-merror:0.35 validation_0-mlogloss:0.789144 [35] validation_0-merror:0.35 validation_0-mlogloss:0.801083 [36] validation_0-merror:0.35 validation_0-mlogloss:0.802801 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.806304 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.787278 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02044 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.990111 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957535 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925723 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90543 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882528 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863585 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853248 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83863 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.838416 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.821761 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804673 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801816 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787991 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.773243 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764666 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751143 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.752188 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.747782 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745464 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742827 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742184 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741465 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.741268 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.737204 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.746008 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747227 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.746301 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744909 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.743808 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.737204 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04622 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00754 [2] validation_0-merror:0.3 validation_0-mlogloss:0.967276 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.943122 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.91686 [5] validation_0-merror:0.3 validation_0-mlogloss:0.891302 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.871318 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.851106 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.832518 [9] validation_0-merror:0.3 validation_0-mlogloss:0.819304 [10] validation_0-merror:0.3 validation_0-mlogloss:0.810132 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.788589 [12] validation_0-merror:0.25 validation_0-mlogloss:0.780055 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.772979 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.764304 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.758075 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.753387 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.746411 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.742528 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.741649 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.729196 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.721769 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.717705 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.713057 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.711079 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.706872 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.706211 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.705331 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.705851 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.705137 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.705352 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.711506 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.71108 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.714095 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.714722 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.705137 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05467 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01619 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977655 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.937724 [4] validation_0-merror:0.35 validation_0-mlogloss:0.913535 [5] validation_0-merror:0.35 validation_0-mlogloss:0.897517 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.883878 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866431 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850509 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843875 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835705 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822252 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.814005 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808219 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794338 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789737 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785883 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.784213 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.781074 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778394 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.780977 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.775458 [22] validation_0-merror:0.3 validation_0-mlogloss:0.779721 [23] validation_0-merror:0.3 validation_0-mlogloss:0.777455 [24] validation_0-merror:0.3 validation_0-mlogloss:0.776834 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.775235 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.775834 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.774922 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.773167 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.777737 [30] validation_0-merror:0.3 validation_0-mlogloss:0.780758 [31] validation_0-merror:0.3 validation_0-mlogloss:0.778534 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783734 [33] validation_0-merror:0.3 validation_0-mlogloss:0.785159 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.773167 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05508 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01342 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986956 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952532 [4] validation_0-merror:0.3 validation_0-mlogloss:0.931306 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918092 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.895239 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.876105 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.867119 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.860675 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855934 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.850304 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.84536 [13] validation_0-merror:0.35 validation_0-mlogloss:0.840654 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.838477 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.833117 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.82772 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.817422 [18] validation_0-merror:0.35 validation_0-mlogloss:0.815591 [19] validation_0-merror:0.35 validation_0-mlogloss:0.811567 [20] validation_0-merror:0.35 validation_0-mlogloss:0.810953 [21] validation_0-merror:0.35 validation_0-mlogloss:0.815715 [22] validation_0-merror:0.35 validation_0-mlogloss:0.811777 [23] validation_0-merror:0.35 validation_0-mlogloss:0.810197 [24] validation_0-merror:0.35 validation_0-mlogloss:0.809848 [25] validation_0-merror:0.35 validation_0-mlogloss:0.80687 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.807823 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.806666 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.809324 [29] validation_0-merror:0.35 validation_0-mlogloss:0.81102 [30] validation_0-merror:0.35 validation_0-mlogloss:0.816183 [31] validation_0-merror:0.35 validation_0-mlogloss:0.815529 [32] validation_0-merror:0.35 validation_0-mlogloss:0.81615 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.806666 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04281 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.995384 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.96108 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.928445 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.902375 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.877672 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.857532 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.834229 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.815395 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.801377 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.782168 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.76547 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.75562 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.74443 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.735114 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.727919 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.722898 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.718141 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.716045 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.71322 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.709484 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.705498 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.702697 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.701218 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.697527 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.69601 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.690856 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.689798 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.689711 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689407 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690225 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690666 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689372 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687204 [34] validation_0-merror:0.3 validation_0-mlogloss:0.689274 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690592 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692059 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688989 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687289 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.687204 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00739 [2] validation_0-merror:0.35 validation_0-mlogloss:0.969227 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937971 [4] validation_0-merror:0.4 validation_0-mlogloss:0.912789 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.889838 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.872156 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857352 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8512 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848367 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836458 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829419 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825764 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.823445 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815189 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81798 [16] validation_0-merror:0.35 validation_0-mlogloss:0.815367 [17] validation_0-merror:0.35 validation_0-mlogloss:0.816579 [18] validation_0-merror:0.35 validation_0-mlogloss:0.819172 [19] validation_0-merror:0.35 validation_0-mlogloss:0.822307 Stopping. Best iteration: [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815189 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01513 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980645 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956716 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.935754 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923472 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909627 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89796 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889488 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.880747 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.87389 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866865 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.86238 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.856515 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.854274 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.854386 [16] validation_0-merror:0.4 validation_0-mlogloss:0.856888 [17] validation_0-merror:0.4 validation_0-mlogloss:0.859616 [18] validation_0-merror:0.4 validation_0-mlogloss:0.864339 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.869599 Stopping. Best iteration: [14] validation_0-merror:0.383333 validation_0-mlogloss:0.854274 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975956 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.948413 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.921718 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901098 [6] validation_0-merror:0.35 validation_0-mlogloss:0.879163 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864973 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845724 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828978 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819703 [11] validation_0-merror:0.3 validation_0-mlogloss:0.809316 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800573 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794473 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790521 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782827 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779275 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775664 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771049 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766296 [20] validation_0-merror:0.3 validation_0-mlogloss:0.757894 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752685 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749024 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744227 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738566 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.731448 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729645 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722676 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718069 [29] validation_0-merror:0.3 validation_0-mlogloss:0.720103 [30] validation_0-merror:0.3 validation_0-mlogloss:0.7189 [31] validation_0-merror:0.3 validation_0-mlogloss:0.72047 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.722631 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719831 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718069 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06004 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02396 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988976 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932338 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912337 [6] validation_0-merror:0.4 validation_0-mlogloss:0.892376 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.872594 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856102 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848066 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840499 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.828736 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827788 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816608 [14] validation_0-merror:0.35 validation_0-mlogloss:0.810244 [15] validation_0-merror:0.35 validation_0-mlogloss:0.802061 [16] validation_0-merror:0.35 validation_0-mlogloss:0.797504 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797091 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.796708 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.793245 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.792453 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.787201 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.789623 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.785374 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.784623 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.781917 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.778505 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.776106 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763033 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.76533 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.765109 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.765897 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.765536 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.764594 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763033 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05177 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01435 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980891 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948395 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919337 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899934 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883439 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870917 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859889 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84396 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842262 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828421 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813601 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80815 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.794559 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781551 [16] validation_0-merror:0.3 validation_0-mlogloss:0.771081 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.756404 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.754903 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752499 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.749333 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742505 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741313 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740194 [24] validation_0-merror:0.3 validation_0-mlogloss:0.742908 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739942 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736866 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734621 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.735372 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73566 [30] validation_0-merror:0.3 validation_0-mlogloss:0.732794 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735234 [32] validation_0-merror:0.3 validation_0-mlogloss:0.736061 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.736496 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.737408 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.740744 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.732794 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05025 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01096 [2] validation_0-merror:0.35 validation_0-mlogloss:0.973775 [3] validation_0-merror:0.3 validation_0-mlogloss:0.944786 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92457 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898306 [6] validation_0-merror:0.35 validation_0-mlogloss:0.874501 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855258 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.836018 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.820331 [10] validation_0-merror:0.3 validation_0-mlogloss:0.812393 [11] validation_0-merror:0.3 validation_0-mlogloss:0.796463 [12] validation_0-merror:0.3 validation_0-mlogloss:0.785731 [13] validation_0-merror:0.3 validation_0-mlogloss:0.780184 [14] validation_0-merror:0.3 validation_0-mlogloss:0.774665 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768046 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760619 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756787 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.750466 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.74637 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738362 [21] validation_0-merror:0.3 validation_0-mlogloss:0.731683 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72639 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.720526 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716183 [25] validation_0-merror:0.3 validation_0-mlogloss:0.712115 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710867 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.704236 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.701856 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700154 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.696694 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.700833 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700743 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.70277 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706338 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.705606 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.696694 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04924 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01283 [2] validation_0-merror:0.4 validation_0-mlogloss:0.974312 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.933623 [4] validation_0-merror:0.35 validation_0-mlogloss:0.907625 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.895321 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.871178 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857626 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841294 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827437 [10] validation_0-merror:0.35 validation_0-mlogloss:0.815518 [11] validation_0-merror:0.35 validation_0-mlogloss:0.807479 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799574 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796684 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78635 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783213 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778615 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775275 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.770819 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765684 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767362 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76167 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.766485 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.766291 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764773 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.765345 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.767633 Stopping. Best iteration: [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76167 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05471 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979814 [3] validation_0-merror:0.35 validation_0-mlogloss:0.942657 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903878 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883247 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863984 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852405 [9] validation_0-merror:0.35 validation_0-mlogloss:0.84823 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839684 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8377 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827492 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.818364 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805902 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.799227 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.788724 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781168 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.778717 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772998 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.764949 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.7634 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759494 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.758348 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.757848 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756943 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759296 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757535 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.759437 [29] validation_0-merror:0.35 validation_0-mlogloss:0.760645 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.764873 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756943 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05051 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00561 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.972553 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942858 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916226 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894559 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876166 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862151 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849521 [9] validation_0-merror:0.3 validation_0-mlogloss:0.835419 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.826189 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.819284 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811644 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80685 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800063 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791738 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.785159 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778379 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774428 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769705 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762926 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760465 [22] validation_0-merror:0.3 validation_0-mlogloss:0.760324 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751344 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.747376 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.745435 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.741876 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.738351 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.739619 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.737497 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.738619 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.739363 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.741178 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.74251 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.741831 Stopping. Best iteration: [29] validation_0-merror:0.266667 validation_0-mlogloss:0.737497 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04752 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00622 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969954 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.937934 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.912751 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.889621 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.871342 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.852001 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.835745 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.820711 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.806024 [11] validation_0-merror:0.35 validation_0-mlogloss:0.80068 [12] validation_0-merror:0.35 validation_0-mlogloss:0.791482 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.791852 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787406 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.782762 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.774506 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776362 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772563 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766679 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763283 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76041 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764649 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762809 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757635 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762843 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758744 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763515 [28] validation_0-merror:0.35 validation_0-mlogloss:0.763435 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766468 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757635 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05117 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01084 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980685 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.948063 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.919964 [5] validation_0-merror:0.4 validation_0-mlogloss:0.899389 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881066 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864371 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855503 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844352 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835882 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832905 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.826654 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822682 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.821106 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.823127 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.822249 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.813419 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.814471 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.814317 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.817647 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.818573 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.819708 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.813419 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04824 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00738 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977875 [3] validation_0-merror:0.35 validation_0-mlogloss:0.946517 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.918672 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901138 [6] validation_0-merror:0.3 validation_0-mlogloss:0.881176 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.863557 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849559 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832554 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821971 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810145 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802645 [13] validation_0-merror:0.35 validation_0-mlogloss:0.792972 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78757 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782279 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776199 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772899 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765224 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759324 [20] validation_0-merror:0.35 validation_0-mlogloss:0.750631 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74668 [22] validation_0-merror:0.35 validation_0-mlogloss:0.746323 [23] validation_0-merror:0.35 validation_0-mlogloss:0.740206 [24] validation_0-merror:0.35 validation_0-mlogloss:0.732191 [25] validation_0-merror:0.35 validation_0-mlogloss:0.730052 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.730072 [27] validation_0-merror:0.35 validation_0-mlogloss:0.724985 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.719479 [29] validation_0-merror:0.35 validation_0-mlogloss:0.720821 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.719103 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718576 [32] validation_0-merror:0.35 validation_0-mlogloss:0.719441 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.717577 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.718381 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.716602 [36] validation_0-merror:0.35 validation_0-mlogloss:0.717836 [37] validation_0-merror:0.35 validation_0-mlogloss:0.723627 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.719241 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.715573 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.710083 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.704448 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.703966 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.701689 [44] validation_0-merror:0.3 validation_0-mlogloss:0.703582 [45] validation_0-merror:0.3 validation_0-mlogloss:0.70122 [46] validation_0-merror:0.3 validation_0-mlogloss:0.700853 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.702464 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.702265 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697747 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.698792 [51] validation_0-merror:0.3 validation_0-mlogloss:0.698761 [52] validation_0-merror:0.3 validation_0-mlogloss:0.697028 [53] validation_0-merror:0.3 validation_0-mlogloss:0.700268 [54] validation_0-merror:0.3 validation_0-mlogloss:0.702114 [55] validation_0-merror:0.3 validation_0-mlogloss:0.70199 [56] validation_0-merror:0.3 validation_0-mlogloss:0.705488 [57] validation_0-merror:0.3 validation_0-mlogloss:0.699931 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.697028 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06082 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.024 [2] validation_0-merror:0.4 validation_0-mlogloss:0.988067 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955062 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929313 [5] validation_0-merror:0.4 validation_0-mlogloss:0.908896 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888289 [7] validation_0-merror:0.4 validation_0-mlogloss:0.87332 [8] validation_0-merror:0.4 validation_0-mlogloss:0.855971 [9] validation_0-merror:0.4 validation_0-mlogloss:0.848139 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839964 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826994 [12] validation_0-merror:0.4 validation_0-mlogloss:0.823453 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814852 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810067 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799557 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795306 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.795643 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791462 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785795 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784684 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776058 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775284 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.771816 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.769987 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.767526 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.762096 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.75685 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.747273 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746261 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.747679 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.750069 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.749615 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.75153 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.758727 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746261 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02902 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993313 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961694 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933783 [5] validation_0-merror:0.3 validation_0-mlogloss:0.914256 [6] validation_0-merror:0.3 validation_0-mlogloss:0.895944 [7] validation_0-merror:0.3 validation_0-mlogloss:0.881994 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867697 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857337 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.851274 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837299 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822207 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816751 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.802283 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785984 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775685 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.770811 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.767651 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.762974 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765037 [21] validation_0-merror:0.3 validation_0-mlogloss:0.765819 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.764089 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.760731 [24] validation_0-merror:0.3 validation_0-mlogloss:0.76237 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.758477 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.751608 [27] validation_0-merror:0.3 validation_0-mlogloss:0.746579 [28] validation_0-merror:0.3 validation_0-mlogloss:0.740515 [29] validation_0-merror:0.3 validation_0-mlogloss:0.740828 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.735742 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734338 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.736691 [33] validation_0-merror:0.3 validation_0-mlogloss:0.739292 [34] validation_0-merror:0.3 validation_0-mlogloss:0.740514 [35] validation_0-merror:0.3 validation_0-mlogloss:0.739688 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.739497 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734338 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04796 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00989 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979195 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949359 [4] validation_0-merror:0.35 validation_0-mlogloss:0.92785 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908162 [6] validation_0-merror:0.35 validation_0-mlogloss:0.8901 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869318 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852412 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834613 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824234 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.80639 [12] validation_0-merror:0.3 validation_0-mlogloss:0.797083 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791588 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.784582 [15] validation_0-merror:0.3 validation_0-mlogloss:0.773459 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.765743 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75927 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753007 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752572 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746155 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739855 [22] validation_0-merror:0.3 validation_0-mlogloss:0.737413 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735889 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735316 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.731326 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728912 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726444 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.724332 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.729543 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728416 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.727174 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.725607 [33] validation_0-merror:0.3 validation_0-mlogloss:0.728595 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.724332 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01112 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.971596 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.935063 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.91547 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90184 [6] validation_0-merror:0.4 validation_0-mlogloss:0.880131 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.862797 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.849954 [9] validation_0-merror:0.4 validation_0-mlogloss:0.838277 [10] validation_0-merror:0.4 validation_0-mlogloss:0.824813 [11] validation_0-merror:0.4 validation_0-mlogloss:0.816387 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.810469 [13] validation_0-merror:0.4 validation_0-mlogloss:0.803381 [14] validation_0-merror:0.4 validation_0-mlogloss:0.789938 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.7853 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779655 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.773123 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.766962 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.763308 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.763669 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761798 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.767621 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766826 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767465 [25] validation_0-merror:0.35 validation_0-mlogloss:0.768223 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766736 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761798 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05017 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01312 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980246 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94412 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923849 [5] validation_0-merror:0.3 validation_0-mlogloss:0.907194 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.88365 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863471 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8495 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.843746 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841124 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837187 [12] validation_0-merror:0.3 validation_0-mlogloss:0.829782 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.826685 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818474 [15] validation_0-merror:0.3 validation_0-mlogloss:0.810048 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800153 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.792659 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789623 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.782279 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776545 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772638 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767785 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76547 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766931 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.768513 [26] validation_0-merror:0.3 validation_0-mlogloss:0.766251 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765951 [28] validation_0-merror:0.3 validation_0-mlogloss:0.770926 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76547 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04662 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00345 [2] validation_0-merror:0.3 validation_0-mlogloss:0.967266 [3] validation_0-merror:0.3 validation_0-mlogloss:0.937037 [4] validation_0-merror:0.3 validation_0-mlogloss:0.911644 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.891061 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.874725 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857875 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84647 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836068 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828012 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82001 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813509 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805483 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798126 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790526 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78051 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775944 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770652 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764444 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.758349 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754618 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.749696 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747891 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744013 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742108 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.739254 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73527 [28] validation_0-merror:0.3 validation_0-mlogloss:0.733514 [29] validation_0-merror:0.3 validation_0-mlogloss:0.735432 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737515 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736946 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.736658 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.73506 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.733514 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05033 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00724 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969022 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939685 [4] validation_0-merror:0.35 validation_0-mlogloss:0.913776 [5] validation_0-merror:0.35 validation_0-mlogloss:0.895216 [6] validation_0-merror:0.35 validation_0-mlogloss:0.874743 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859562 [8] validation_0-merror:0.35 validation_0-mlogloss:0.841369 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.825791 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.8133 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.803612 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793142 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783612 [14] validation_0-merror:0.35 validation_0-mlogloss:0.776557 [15] validation_0-merror:0.35 validation_0-mlogloss:0.769551 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.768313 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.766336 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.763494 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.755423 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.755649 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753501 [22] validation_0-merror:0.35 validation_0-mlogloss:0.750256 [23] validation_0-merror:0.35 validation_0-mlogloss:0.751998 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.749707 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748411 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746649 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746762 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748463 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.746765 [30] validation_0-merror:0.3 validation_0-mlogloss:0.751761 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.754343 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746649 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.0465 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0066 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.972381 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942362 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.914684 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89754 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880307 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863985 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853206 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839029 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824629 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814858 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811428 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806254 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804999 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801966 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.800188 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.799133 [19] validation_0-merror:0.3 validation_0-mlogloss:0.797697 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.798054 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.79793 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.799584 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.800366 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.79779 Stopping. Best iteration: [19] validation_0-merror:0.3 validation_0-mlogloss:0.797697 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977814 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947467 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92421 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.904648 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.884441 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867744 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855993 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838866 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828804 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818398 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809541 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802788 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798748 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791238 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77717 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772421 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766297 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762789 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75212 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747739 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742953 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731616 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72577 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719724 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.720933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712249 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.713642 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714205 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715726 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715633 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716172 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02339 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990442 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957909 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935424 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.915604 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895184 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880402 [8] validation_0-merror:0.4 validation_0-mlogloss:0.860655 [9] validation_0-merror:0.4 validation_0-mlogloss:0.84984 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839918 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826463 [12] validation_0-merror:0.4 validation_0-mlogloss:0.822536 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814093 [14] validation_0-merror:0.4 validation_0-mlogloss:0.804488 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.795261 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784806 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782293 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781027 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773919 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768388 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761353 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761549 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759265 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755494 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.758605 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751465 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75062 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748178 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.746693 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746395 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.747624 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.747079 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746677 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.750954 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.754748 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746395 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996558 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964731 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942958 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92351 [6] validation_0-merror:0.3 validation_0-mlogloss:0.907273 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.89276 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877482 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866317 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858669 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848569 [12] validation_0-merror:0.3 validation_0-mlogloss:0.8329 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826238 [14] validation_0-merror:0.3 validation_0-mlogloss:0.815952 [15] validation_0-merror:0.3 validation_0-mlogloss:0.804127 [16] validation_0-merror:0.3 validation_0-mlogloss:0.799486 [17] validation_0-merror:0.3 validation_0-mlogloss:0.79297 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789668 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779694 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773589 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772332 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765564 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76385 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761579 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754216 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.752061 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747653 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746474 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738908 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739179 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741515 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741592 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.74122 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.742004 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01042 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978708 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950791 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931127 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909965 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887038 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86592 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845922 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829171 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.818236 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.801473 [12] validation_0-merror:0.3 validation_0-mlogloss:0.790769 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.78316 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.779352 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.769714 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.759139 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.75636 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.750935 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.748389 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.739329 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.732826 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.729767 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.723003 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719019 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719095 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.71751 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.714252 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713563 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.715759 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.714376 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.714441 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714545 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713977 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713563 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01591 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980474 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920714 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903054 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885918 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.875428 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863578 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852768 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83929 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.830778 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824389 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814982 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.799712 [15] validation_0-merror:0.4 validation_0-mlogloss:0.79204 [16] validation_0-merror:0.4 validation_0-mlogloss:0.784481 [17] validation_0-merror:0.4 validation_0-mlogloss:0.780095 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776199 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76462 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.765552 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758759 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763822 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.758636 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.761535 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.764885 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.759502 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.760571 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.760257 Stopping. Best iteration: [23] validation_0-merror:0.383333 validation_0-mlogloss:0.758636 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.955202 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937503 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922889 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901955 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.882544 [8] validation_0-merror:0.3 validation_0-mlogloss:0.87606 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870375 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865667 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.859079 [12] validation_0-merror:0.3 validation_0-mlogloss:0.848631 [13] validation_0-merror:0.3 validation_0-mlogloss:0.845841 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829134 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.818057 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80867 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.802601 [18] validation_0-merror:0.3 validation_0-mlogloss:0.798871 [19] validation_0-merror:0.3 validation_0-mlogloss:0.793088 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.79021 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.790989 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.784102 [23] validation_0-merror:0.35 validation_0-mlogloss:0.784317 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.783615 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.781868 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778671 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778876 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.783994 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.784508 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.786313 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.788557 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778671 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05014 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01224 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980903 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931805 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910238 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894773 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.879621 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868766 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857978 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845717 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835408 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.823161 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814467 [14] validation_0-merror:0.35 validation_0-mlogloss:0.810786 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805242 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799528 [17] validation_0-merror:0.35 validation_0-mlogloss:0.787193 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783913 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777114 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.77371 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769868 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.768579 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.763238 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76175 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.758003 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759464 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.761388 [28] validation_0-merror:0.3 validation_0-mlogloss:0.758484 [29] validation_0-merror:0.3 validation_0-mlogloss:0.75818 [30] validation_0-merror:0.3 validation_0-mlogloss:0.754727 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.755733 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.752999 [33] validation_0-merror:0.3 validation_0-mlogloss:0.753236 [34] validation_0-merror:0.3 validation_0-mlogloss:0.75153 [35] validation_0-merror:0.3 validation_0-mlogloss:0.751027 [36] validation_0-merror:0.3 validation_0-mlogloss:0.751 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.751009 [38] validation_0-merror:0.3 validation_0-mlogloss:0.750397 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.750657 [40] validation_0-merror:0.3 validation_0-mlogloss:0.749119 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.749734 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.749725 [43] validation_0-merror:0.3 validation_0-mlogloss:0.750811 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.751149 [45] validation_0-merror:0.3 validation_0-mlogloss:0.750785 Stopping. Best iteration: [40] validation_0-merror:0.3 validation_0-mlogloss:0.749119 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951087 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.924063 [5] validation_0-merror:0.4 validation_0-mlogloss:0.905942 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886443 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869932 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853629 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.84006 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.832663 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820598 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.81695 [13] validation_0-merror:0.4 validation_0-mlogloss:0.815142 [14] validation_0-merror:0.4 validation_0-mlogloss:0.812592 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80943 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.80274 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.800472 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.797156 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.794658 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.793729 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.791693 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.78745 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.788604 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.786982 [25] validation_0-merror:0.35 validation_0-mlogloss:0.788362 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.788653 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.788638 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.79135 [29] validation_0-merror:0.35 validation_0-mlogloss:0.786556 [30] validation_0-merror:0.35 validation_0-mlogloss:0.78817 [31] validation_0-merror:0.35 validation_0-mlogloss:0.790829 [32] validation_0-merror:0.35 validation_0-mlogloss:0.788293 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.789266 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.789841 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.786556 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01393 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981005 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954446 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934778 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912824 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897586 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880634 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86745 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.860471 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852615 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839184 [12] validation_0-merror:0.3 validation_0-mlogloss:0.831529 [13] validation_0-merror:0.3 validation_0-mlogloss:0.824008 [14] validation_0-merror:0.3 validation_0-mlogloss:0.826454 [15] validation_0-merror:0.3 validation_0-mlogloss:0.82764 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.829054 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.825275 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.825624 Stopping. Best iteration: [13] validation_0-merror:0.3 validation_0-mlogloss:0.824008 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979981 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948866 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92424 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903444 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884472 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867183 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8531 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835866 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822619 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.814225 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805639 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794701 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790738 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783433 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773079 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766871 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760822 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754414 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.7477 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743316 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.740004 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733221 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.725358 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.719433 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.719415 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.713313 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.713444 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713275 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713529 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71299 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714464 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711722 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711887 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712126 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714308 [37] validation_0-merror:0.3 validation_0-mlogloss:0.71924 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.714732 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.711722 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06499 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02584 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993779 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936197 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.916826 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896465 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.880751 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.861646 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852293 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.841665 [11] validation_0-merror:0.4 validation_0-mlogloss:0.82916 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.825037 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816211 [14] validation_0-merror:0.4 validation_0-mlogloss:0.807975 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80089 [16] validation_0-merror:0.4 validation_0-mlogloss:0.789188 [17] validation_0-merror:0.4 validation_0-mlogloss:0.783832 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78114 [19] validation_0-merror:0.4 validation_0-mlogloss:0.772123 [20] validation_0-merror:0.4 validation_0-mlogloss:0.767395 [21] validation_0-merror:0.4 validation_0-mlogloss:0.762974 [22] validation_0-merror:0.4 validation_0-mlogloss:0.761874 [23] validation_0-merror:0.4 validation_0-mlogloss:0.756636 [24] validation_0-merror:0.4 validation_0-mlogloss:0.7543 [25] validation_0-merror:0.4 validation_0-mlogloss:0.758471 [26] validation_0-merror:0.4 validation_0-mlogloss:0.75184 [27] validation_0-merror:0.4 validation_0-mlogloss:0.747059 [28] validation_0-merror:0.4 validation_0-mlogloss:0.745896 [29] validation_0-merror:0.4 validation_0-mlogloss:0.74293 [30] validation_0-merror:0.4 validation_0-mlogloss:0.743413 [31] validation_0-merror:0.4 validation_0-mlogloss:0.745419 [32] validation_0-merror:0.4 validation_0-mlogloss:0.745964 [33] validation_0-merror:0.4 validation_0-mlogloss:0.744252 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.743575 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.74293 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971355 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950909 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930972 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91499 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900704 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.884659 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868742 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.850018 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834555 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827925 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815598 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806751 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799917 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791446 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790312 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.783636 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.783032 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777183 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771882 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764645 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759816 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756498 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750983 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747648 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.744518 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.741673 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736998 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734378 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734741 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.737882 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738273 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738738 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734378 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979138 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950196 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927634 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905769 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883397 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864377 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.844717 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828343 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816003 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802537 [12] validation_0-merror:0.3 validation_0-mlogloss:0.792657 [13] validation_0-merror:0.3 validation_0-mlogloss:0.78557 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778632 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769025 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761957 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.760728 [18] validation_0-merror:0.3 validation_0-mlogloss:0.75371 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751409 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742481 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735473 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732828 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724942 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721486 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716829 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71449 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71021 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.707058 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.706749 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706102 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706219 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705532 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706151 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706359 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704494 [36] validation_0-merror:0.3 validation_0-mlogloss:0.703587 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704589 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702619 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.702947 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.705226 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705602 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.704269 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.703374 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702619 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984397 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953788 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930906 [5] validation_0-merror:0.4 validation_0-mlogloss:0.915759 [6] validation_0-merror:0.4 validation_0-mlogloss:0.900769 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.88993 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.877897 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.862824 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.847403 [11] validation_0-merror:0.4 validation_0-mlogloss:0.839513 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831302 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821801 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811057 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806751 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800456 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794021 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787466 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782796 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784537 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778725 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.780486 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775414 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778843 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.780163 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.773036 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.772749 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.773775 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.77709 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.775918 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.774442 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.775915 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.772749 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.939726 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923532 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88574 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875029 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86751 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853032 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843694 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835586 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831107 [14] validation_0-merror:0.3 validation_0-mlogloss:0.822854 [15] validation_0-merror:0.3 validation_0-mlogloss:0.81827 [16] validation_0-merror:0.3 validation_0-mlogloss:0.814822 [17] validation_0-merror:0.3 validation_0-mlogloss:0.811831 [18] validation_0-merror:0.3 validation_0-mlogloss:0.806553 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.792693 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.789984 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.79218 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.788568 [23] validation_0-merror:0.3 validation_0-mlogloss:0.783701 [24] validation_0-merror:0.3 validation_0-mlogloss:0.785055 [25] validation_0-merror:0.3 validation_0-mlogloss:0.788718 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781949 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.780722 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.783785 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.781056 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779778 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.777492 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.774656 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.773193 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771732 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.776411 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.77645 [37] validation_0-merror:0.3 validation_0-mlogloss:0.774737 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.772402 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.773587 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771732 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01072 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978637 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952407 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930389 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911681 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893062 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.879426 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.866181 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854059 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844375 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834238 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825603 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817047 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810634 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802582 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.798932 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79302 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788258 [19] validation_0-merror:0.35 validation_0-mlogloss:0.786581 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785302 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781284 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.773023 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.771443 [24] validation_0-merror:0.35 validation_0-mlogloss:0.766161 [25] validation_0-merror:0.35 validation_0-mlogloss:0.763748 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760644 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753347 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752438 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.749739 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.746658 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.743805 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.742631 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.742764 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742131 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.742752 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.74105 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.743002 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.740318 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.741787 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.744006 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.743381 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.743184 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.742487 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.740318 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00777 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974933 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947148 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.923004 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900693 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881207 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86428 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848709 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836951 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830673 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822705 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81575 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.807554 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802816 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798283 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792252 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791123 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786978 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784244 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783267 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.782184 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.780606 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.774516 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.773968 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770424 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.770947 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.772826 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.772788 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.771992 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.774542 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770424 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958837 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932339 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910499 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.896172 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883655 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871181 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.859054 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.852208 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840485 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82971 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827039 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.825983 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82296 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.81692 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.815944 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.811859 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807218 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.81021 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.804168 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.802984 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.797831 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.796839 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795279 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.791291 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.78867 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784194 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781808 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.775339 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773154 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771963 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.773099 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.770066 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771921 [36] validation_0-merror:0.3 validation_0-mlogloss:0.769482 [37] validation_0-merror:0.3 validation_0-mlogloss:0.769368 [38] validation_0-merror:0.3 validation_0-mlogloss:0.767891 [39] validation_0-merror:0.3 validation_0-mlogloss:0.767675 [40] validation_0-merror:0.3 validation_0-mlogloss:0.768115 [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [42] validation_0-merror:0.3 validation_0-mlogloss:0.766948 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.766511 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767545 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.766775 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.766563 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0522 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00783 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97669 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949967 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92336 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901304 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863268 [8] validation_0-merror:0.3 validation_0-mlogloss:0.838031 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.824125 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811276 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798851 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.790732 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784975 [14] validation_0-merror:0.3 validation_0-mlogloss:0.77647 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771151 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.76456 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760095 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.75611 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748853 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.743876 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744625 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742085 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.736865 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.72953 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.72496 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.726478 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721145 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.721495 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724923 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726741 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731634 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734936 Stopping. Best iteration: [27] validation_0-merror:0.3 validation_0-mlogloss:0.721145 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02151 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984195 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931128 [5] validation_0-merror:0.4 validation_0-mlogloss:0.908538 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.884005 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869344 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854553 [9] validation_0-merror:0.4 validation_0-mlogloss:0.848244 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.838641 [11] validation_0-merror:0.4 validation_0-mlogloss:0.833709 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.83456 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.831055 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.822697 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.811357 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.805551 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.807667 [18] validation_0-merror:0.35 validation_0-mlogloss:0.804763 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.800298 [20] validation_0-merror:0.4 validation_0-mlogloss:0.80525 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.799581 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.799229 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.794528 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.792899 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.79351 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.793386 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.791083 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.787493 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.789576 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.79025 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.789815 [32] validation_0-merror:0.35 validation_0-mlogloss:0.785501 [33] validation_0-merror:0.35 validation_0-mlogloss:0.784089 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.781522 [35] validation_0-merror:0.35 validation_0-mlogloss:0.792896 [36] validation_0-merror:0.35 validation_0-mlogloss:0.797723 [37] validation_0-merror:0.35 validation_0-mlogloss:0.80438 [38] validation_0-merror:0.35 validation_0-mlogloss:0.813022 [39] validation_0-merror:0.35 validation_0-mlogloss:0.821975 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.781522 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05698 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02044 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.990111 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957225 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925432 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905141 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882816 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863832 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85413 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.839774 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.839547 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.824738 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807538 [13] validation_0-merror:0.35 validation_0-mlogloss:0.803816 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792968 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781898 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774081 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767032 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767862 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762409 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761342 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75851 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.757933 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759057 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75988 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755339 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.764684 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.767759 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767621 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766776 [30] validation_0-merror:0.35 validation_0-mlogloss:0.769528 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.755339 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00296 [2] validation_0-merror:0.3 validation_0-mlogloss:0.962805 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.935171 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.910762 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.886665 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.868221 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.847014 [8] validation_0-merror:0.3 validation_0-mlogloss:0.826632 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.814115 [10] validation_0-merror:0.3 validation_0-mlogloss:0.804193 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.787057 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.779841 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.775482 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.767404 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.761972 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.759306 [17] validation_0-merror:0.25 validation_0-mlogloss:0.753963 [18] validation_0-merror:0.25 validation_0-mlogloss:0.744758 [19] validation_0-merror:0.25 validation_0-mlogloss:0.741928 [20] validation_0-merror:0.25 validation_0-mlogloss:0.733343 [21] validation_0-merror:0.25 validation_0-mlogloss:0.729631 [22] validation_0-merror:0.25 validation_0-mlogloss:0.725582 [23] validation_0-merror:0.25 validation_0-mlogloss:0.72062 [24] validation_0-merror:0.25 validation_0-mlogloss:0.717449 [25] validation_0-merror:0.25 validation_0-mlogloss:0.713622 [26] validation_0-merror:0.25 validation_0-mlogloss:0.714733 [27] validation_0-merror:0.25 validation_0-mlogloss:0.712358 [28] validation_0-merror:0.25 validation_0-mlogloss:0.712766 [29] validation_0-merror:0.25 validation_0-mlogloss:0.711001 [30] validation_0-merror:0.25 validation_0-mlogloss:0.709864 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.715646 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.711397 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.711628 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.709999 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.709499 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.710624 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.708344 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.705806 [39] validation_0-merror:0.25 validation_0-mlogloss:0.70265 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.706056 [41] validation_0-merror:0.25 validation_0-mlogloss:0.704404 [42] validation_0-merror:0.25 validation_0-mlogloss:0.703091 [43] validation_0-merror:0.25 validation_0-mlogloss:0.70125 [44] validation_0-merror:0.25 validation_0-mlogloss:0.704813 [45] validation_0-merror:0.25 validation_0-mlogloss:0.703476 [46] validation_0-merror:0.25 validation_0-mlogloss:0.710815 [47] validation_0-merror:0.25 validation_0-mlogloss:0.715774 [48] validation_0-merror:0.25 validation_0-mlogloss:0.716284 Stopping. Best iteration: [43] validation_0-merror:0.25 validation_0-mlogloss:0.70125 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05296 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01308 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977539 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948059 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.924919 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.907025 [6] validation_0-merror:0.4 validation_0-mlogloss:0.894218 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.877096 [8] validation_0-merror:0.35 validation_0-mlogloss:0.860049 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.850499 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840458 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827639 [12] validation_0-merror:0.35 validation_0-mlogloss:0.82285 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818862 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809625 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805347 [16] validation_0-merror:0.35 validation_0-mlogloss:0.801928 [17] validation_0-merror:0.35 validation_0-mlogloss:0.801183 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798302 [19] validation_0-merror:0.35 validation_0-mlogloss:0.79884 [20] validation_0-merror:0.35 validation_0-mlogloss:0.801228 [21] validation_0-merror:0.35 validation_0-mlogloss:0.799692 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.802835 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.800337 Stopping. Best iteration: [18] validation_0-merror:0.35 validation_0-mlogloss:0.798302 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05508 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01342 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985315 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951149 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.92999 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.916697 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891725 [7] validation_0-merror:0.3 validation_0-mlogloss:0.873278 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.864223 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.853053 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.848227 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841326 [12] validation_0-merror:0.3 validation_0-mlogloss:0.835465 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.833017 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.830734 [15] validation_0-merror:0.35 validation_0-mlogloss:0.826093 [16] validation_0-merror:0.35 validation_0-mlogloss:0.823224 [17] validation_0-merror:0.35 validation_0-mlogloss:0.819119 [18] validation_0-merror:0.35 validation_0-mlogloss:0.817821 [19] validation_0-merror:0.35 validation_0-mlogloss:0.812142 [20] validation_0-merror:0.35 validation_0-mlogloss:0.81244 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.816134 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.814179 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.816067 [24] validation_0-merror:0.35 validation_0-mlogloss:0.818486 Stopping. Best iteration: [19] validation_0-merror:0.35 validation_0-mlogloss:0.812142 [0] validation_0-merror:0.3 validation_0-mlogloss:1.04383 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.997416 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.960526 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.931672 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.90827 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.883456 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.864039 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.841901 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.826977 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.805467 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.789815 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.773735 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.761699 [13] validation_0-merror:0.25 validation_0-mlogloss:0.751923 [14] validation_0-merror:0.25 validation_0-mlogloss:0.746235 [15] validation_0-merror:0.25 validation_0-mlogloss:0.740284 [16] validation_0-merror:0.25 validation_0-mlogloss:0.736687 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.729713 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.727503 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.724936 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.719863 [21] validation_0-merror:0.25 validation_0-mlogloss:0.718688 [22] validation_0-merror:0.25 validation_0-mlogloss:0.716508 [23] validation_0-merror:0.25 validation_0-mlogloss:0.716182 [24] validation_0-merror:0.25 validation_0-mlogloss:0.715391 [25] validation_0-merror:0.25 validation_0-mlogloss:0.712409 [26] validation_0-merror:0.25 validation_0-mlogloss:0.709156 [27] validation_0-merror:0.25 validation_0-mlogloss:0.705438 [28] validation_0-merror:0.25 validation_0-mlogloss:0.703443 [29] validation_0-merror:0.25 validation_0-mlogloss:0.703976 [30] validation_0-merror:0.25 validation_0-mlogloss:0.705631 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.705571 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.704216 [33] validation_0-merror:0.25 validation_0-mlogloss:0.705132 Stopping. Best iteration: [28] validation_0-merror:0.25 validation_0-mlogloss:0.703443 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04955 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00864 [2] validation_0-merror:0.35 validation_0-mlogloss:0.970493 [3] validation_0-merror:0.35 validation_0-mlogloss:0.938458 [4] validation_0-merror:0.4 validation_0-mlogloss:0.914078 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.892968 [6] validation_0-merror:0.35 validation_0-mlogloss:0.874098 [7] validation_0-merror:0.35 validation_0-mlogloss:0.861629 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851892 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.848178 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840865 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841112 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.838794 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.839517 [14] validation_0-merror:0.35 validation_0-mlogloss:0.839751 [15] validation_0-merror:0.35 validation_0-mlogloss:0.837946 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.835172 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.832051 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.832648 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.832276 [20] validation_0-merror:0.35 validation_0-mlogloss:0.833381 [21] validation_0-merror:0.35 validation_0-mlogloss:0.838814 [22] validation_0-merror:0.35 validation_0-mlogloss:0.841687 Stopping. Best iteration: [17] validation_0-merror:0.366667 validation_0-mlogloss:0.832051 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.056 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01552 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981826 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959394 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.938268 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924829 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91214 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.90118 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890419 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.880888 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.873716 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866398 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.863786 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.857998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.856071 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.855294 [16] validation_0-merror:0.4 validation_0-mlogloss:0.856663 [17] validation_0-merror:0.4 validation_0-mlogloss:0.863287 [18] validation_0-merror:0.4 validation_0-mlogloss:0.868856 [19] validation_0-merror:0.4 validation_0-mlogloss:0.871263 [20] validation_0-merror:0.4 validation_0-mlogloss:0.877661 Stopping. Best iteration: [15] validation_0-merror:0.383333 validation_0-mlogloss:0.855294 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04982 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00589 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977753 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95008 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923343 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903243 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881755 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868317 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851432 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837914 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828677 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820883 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.815176 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809042 [14] validation_0-merror:0.3 validation_0-mlogloss:0.804861 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796487 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.792791 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.788502 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78075 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.775973 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.767932 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.762269 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758052 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74959 [24] validation_0-merror:0.3 validation_0-mlogloss:0.743537 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738848 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738649 [27] validation_0-merror:0.3 validation_0-mlogloss:0.731431 [28] validation_0-merror:0.3 validation_0-mlogloss:0.727993 [29] validation_0-merror:0.3 validation_0-mlogloss:0.731344 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730383 [31] validation_0-merror:0.3 validation_0-mlogloss:0.729883 [32] validation_0-merror:0.3 validation_0-mlogloss:0.731664 [33] validation_0-merror:0.3 validation_0-mlogloss:0.728552 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.727993 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06004 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02396 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988976 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932338 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912635 [6] validation_0-merror:0.4 validation_0-mlogloss:0.89255 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.872775 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85627 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848209 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840634 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827919 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82697 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815892 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809919 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.801412 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.794238 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793777 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793605 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.790724 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.78797 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.785429 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.787736 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.788431 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.787689 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.783944 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.783435 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.781132 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.76777 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.766967 [30] validation_0-merror:0.35 validation_0-mlogloss:0.764892 [31] validation_0-merror:0.35 validation_0-mlogloss:0.76705 [32] validation_0-merror:0.35 validation_0-mlogloss:0.765523 [33] validation_0-merror:0.35 validation_0-mlogloss:0.763593 [34] validation_0-merror:0.35 validation_0-mlogloss:0.768141 [35] validation_0-merror:0.35 validation_0-mlogloss:0.774305 [36] validation_0-merror:0.35 validation_0-mlogloss:0.780459 [37] validation_0-merror:0.35 validation_0-mlogloss:0.784398 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.792359 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.763593 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05177 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01435 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980891 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948395 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919337 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899934 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883439 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870917 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859889 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84396 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.842262 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828421 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813601 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80815 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.794166 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781151 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77067 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.755975 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.754484 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752073 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748932 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742131 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740959 [23] validation_0-merror:0.3 validation_0-mlogloss:0.739857 [24] validation_0-merror:0.3 validation_0-mlogloss:0.742569 [25] validation_0-merror:0.3 validation_0-mlogloss:0.73961 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736495 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734507 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737433 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.739403 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.733305 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735577 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735696 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.734982 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.732085 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736584 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733754 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.723884 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727029 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.723838 [40] validation_0-merror:0.3 validation_0-mlogloss:0.723949 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724751 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.727065 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.725795 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.72685 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.723838 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05066 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01077 [2] validation_0-merror:0.35 validation_0-mlogloss:0.973268 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945345 [4] validation_0-merror:0.35 validation_0-mlogloss:0.923566 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897125 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871103 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.849823 [8] validation_0-merror:0.3 validation_0-mlogloss:0.83069 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.815615 [10] validation_0-merror:0.3 validation_0-mlogloss:0.807087 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.792316 [12] validation_0-merror:0.3 validation_0-mlogloss:0.780809 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.773283 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.766117 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.758887 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.753189 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.749819 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.741074 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.738978 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.732775 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.725658 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.723526 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.722119 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.717223 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.713598 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.711034 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.704251 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.701195 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.700172 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.695426 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699752 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.697081 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698877 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702502 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.697401 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.695426 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04924 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01276 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976077 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.935407 [4] validation_0-merror:0.35 validation_0-mlogloss:0.908092 [5] validation_0-merror:0.35 validation_0-mlogloss:0.895125 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.873741 [7] validation_0-merror:0.35 validation_0-mlogloss:0.860212 [8] validation_0-merror:0.35 validation_0-mlogloss:0.843092 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.829276 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817323 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810247 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804463 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801515 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790834 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789214 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784901 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.781091 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776349 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771611 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.774647 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772581 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.776283 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.775907 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773348 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.771611 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05471 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979814 [3] validation_0-merror:0.35 validation_0-mlogloss:0.942657 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903878 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883247 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863984 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852405 [9] validation_0-merror:0.35 validation_0-mlogloss:0.84823 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839684 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8377 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827326 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.818196 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805765 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800837 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.790396 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.783096 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7806 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775017 [20] validation_0-merror:0.35 validation_0-mlogloss:0.770479 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769063 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764845 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.765006 [24] validation_0-merror:0.35 validation_0-mlogloss:0.76736 [25] validation_0-merror:0.35 validation_0-mlogloss:0.766705 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769106 [27] validation_0-merror:0.35 validation_0-mlogloss:0.771186 Stopping. Best iteration: [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764845 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05095 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00467 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97015 [3] validation_0-merror:0.3 validation_0-mlogloss:0.937949 [4] validation_0-merror:0.3 validation_0-mlogloss:0.911263 [5] validation_0-merror:0.3 validation_0-mlogloss:0.888189 [6] validation_0-merror:0.3 validation_0-mlogloss:0.871334 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.856498 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.843645 [9] validation_0-merror:0.25 validation_0-mlogloss:0.829976 [10] validation_0-merror:0.25 validation_0-mlogloss:0.819562 [11] validation_0-merror:0.25 validation_0-mlogloss:0.810741 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.803736 [13] validation_0-merror:0.25 validation_0-mlogloss:0.80134 [14] validation_0-merror:0.25 validation_0-mlogloss:0.796251 [15] validation_0-merror:0.25 validation_0-mlogloss:0.794396 [16] validation_0-merror:0.25 validation_0-mlogloss:0.789753 [17] validation_0-merror:0.25 validation_0-mlogloss:0.785446 [18] validation_0-merror:0.25 validation_0-mlogloss:0.783584 [19] validation_0-merror:0.25 validation_0-mlogloss:0.782539 [20] validation_0-merror:0.25 validation_0-mlogloss:0.779667 [21] validation_0-merror:0.25 validation_0-mlogloss:0.777775 [22] validation_0-merror:0.25 validation_0-mlogloss:0.777968 [23] validation_0-merror:0.25 validation_0-mlogloss:0.777405 [24] validation_0-merror:0.25 validation_0-mlogloss:0.778841 [25] validation_0-merror:0.25 validation_0-mlogloss:0.778445 [26] validation_0-merror:0.25 validation_0-mlogloss:0.776556 [27] validation_0-merror:0.25 validation_0-mlogloss:0.777495 [28] validation_0-merror:0.25 validation_0-mlogloss:0.778855 [29] validation_0-merror:0.25 validation_0-mlogloss:0.777161 [30] validation_0-merror:0.25 validation_0-mlogloss:0.776927 [31] validation_0-merror:0.25 validation_0-mlogloss:0.778702 Stopping. Best iteration: [26] validation_0-merror:0.25 validation_0-mlogloss:0.776556 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04818 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00757 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.970075 [3] validation_0-merror:0.35 validation_0-mlogloss:0.934817 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.910529 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.888017 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.86967 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.853226 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.840689 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.827877 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818041 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.805331 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795503 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790154 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.781557 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772365 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769521 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767902 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766147 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757902 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754378 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757384 [22] validation_0-merror:0.35 validation_0-mlogloss:0.757933 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.759291 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.761113 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762936 Stopping. Best iteration: [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754378 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05117 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01084 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980685 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.948063 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920103 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.896559 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881219 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865402 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.852972 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.846764 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839422 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.831432 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827162 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825759 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.823299 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.82412 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.81732 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.810656 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.810676 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.810573 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.814091 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.817266 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.818031 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.820529 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.824279 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.810573 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04824 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00738 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977875 [3] validation_0-merror:0.35 validation_0-mlogloss:0.946517 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.918672 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901138 [6] validation_0-merror:0.3 validation_0-mlogloss:0.881176 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.863557 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849559 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832554 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821971 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810145 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802645 [13] validation_0-merror:0.35 validation_0-mlogloss:0.792972 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78757 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782279 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776199 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772899 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765224 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759324 [20] validation_0-merror:0.35 validation_0-mlogloss:0.750631 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74668 [22] validation_0-merror:0.35 validation_0-mlogloss:0.746323 [23] validation_0-merror:0.35 validation_0-mlogloss:0.740206 [24] validation_0-merror:0.35 validation_0-mlogloss:0.732191 [25] validation_0-merror:0.35 validation_0-mlogloss:0.730052 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.730072 [27] validation_0-merror:0.35 validation_0-mlogloss:0.724985 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.719479 [29] validation_0-merror:0.35 validation_0-mlogloss:0.720821 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.719103 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718576 [32] validation_0-merror:0.35 validation_0-mlogloss:0.719441 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.717577 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.718381 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.716602 [36] validation_0-merror:0.35 validation_0-mlogloss:0.717836 [37] validation_0-merror:0.35 validation_0-mlogloss:0.723627 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.719241 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.715573 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.710083 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.704448 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.703966 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.701689 [44] validation_0-merror:0.3 validation_0-mlogloss:0.703582 [45] validation_0-merror:0.3 validation_0-mlogloss:0.70122 [46] validation_0-merror:0.3 validation_0-mlogloss:0.700853 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.702464 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.702265 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.697747 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.698792 [51] validation_0-merror:0.3 validation_0-mlogloss:0.698761 [52] validation_0-merror:0.3 validation_0-mlogloss:0.697028 [53] validation_0-merror:0.3 validation_0-mlogloss:0.700268 [54] validation_0-merror:0.3 validation_0-mlogloss:0.702114 [55] validation_0-merror:0.3 validation_0-mlogloss:0.70199 [56] validation_0-merror:0.3 validation_0-mlogloss:0.705488 [57] validation_0-merror:0.3 validation_0-mlogloss:0.699931 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.697028 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06082 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.024 [2] validation_0-merror:0.4 validation_0-mlogloss:0.988546 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955561 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929834 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909426 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888854 [7] validation_0-merror:0.4 validation_0-mlogloss:0.87387 [8] validation_0-merror:0.4 validation_0-mlogloss:0.856574 [9] validation_0-merror:0.4 validation_0-mlogloss:0.848749 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840573 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826786 [12] validation_0-merror:0.4 validation_0-mlogloss:0.823255 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814655 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810285 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.79975 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.796236 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796534 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792334 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785568 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783477 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774665 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.773913 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770945 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768068 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766523 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761227 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760187 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.748994 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.748083 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.74957 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.75214 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.752043 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754042 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.761611 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.748083 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02902 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993313 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961694 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933783 [5] validation_0-merror:0.3 validation_0-mlogloss:0.914256 [6] validation_0-merror:0.3 validation_0-mlogloss:0.895944 [7] validation_0-merror:0.3 validation_0-mlogloss:0.881994 [8] validation_0-merror:0.3 validation_0-mlogloss:0.867697 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.857337 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.851274 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837299 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822207 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816751 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.802575 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786544 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776208 [17] validation_0-merror:0.3 validation_0-mlogloss:0.771299 [18] validation_0-merror:0.3 validation_0-mlogloss:0.768159 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763505 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760809 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761664 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.759855 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.756672 [24] validation_0-merror:0.3 validation_0-mlogloss:0.758371 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.754801 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.748747 [27] validation_0-merror:0.3 validation_0-mlogloss:0.744233 [28] validation_0-merror:0.3 validation_0-mlogloss:0.733751 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.735916 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.736626 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734795 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.737017 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.737097 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.733751 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00901 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977234 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948271 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927239 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907797 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.884195 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863873 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.846143 [9] validation_0-merror:0.3 validation_0-mlogloss:0.824983 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.815365 [11] validation_0-merror:0.3 validation_0-mlogloss:0.797825 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.788601 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.78389 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.776312 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.768214 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760034 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75651 [18] validation_0-merror:0.3 validation_0-mlogloss:0.748583 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.747852 [20] validation_0-merror:0.3 validation_0-mlogloss:0.741161 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732685 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.727255 [23] validation_0-merror:0.3 validation_0-mlogloss:0.725603 [24] validation_0-merror:0.3 validation_0-mlogloss:0.725355 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72183 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.718222 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.713503 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71116 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.71637 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.712276 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714083 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712737 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.714523 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71116 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01112 [2] validation_0-merror:0.4 validation_0-mlogloss:0.972662 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.935604 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.915752 [5] validation_0-merror:0.4 validation_0-mlogloss:0.902129 [6] validation_0-merror:0.4 validation_0-mlogloss:0.880195 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.862795 [8] validation_0-merror:0.4 validation_0-mlogloss:0.848184 [9] validation_0-merror:0.4 validation_0-mlogloss:0.836699 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.822584 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.814582 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.80898 [13] validation_0-merror:0.4 validation_0-mlogloss:0.801843 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.788569 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.785612 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.779437 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.775175 [18] validation_0-merror:0.4 validation_0-mlogloss:0.772357 [19] validation_0-merror:0.4 validation_0-mlogloss:0.767234 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766775 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762274 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.769124 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.768839 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.76848 [25] validation_0-merror:0.35 validation_0-mlogloss:0.769114 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768309 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762274 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05017 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01312 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980246 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94412 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923849 [5] validation_0-merror:0.3 validation_0-mlogloss:0.907194 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.88365 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863471 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8495 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.843746 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841124 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837187 [12] validation_0-merror:0.3 validation_0-mlogloss:0.829782 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.826685 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.819822 [15] validation_0-merror:0.3 validation_0-mlogloss:0.811369 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.801462 [17] validation_0-merror:0.3 validation_0-mlogloss:0.79542 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.792374 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786587 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.780261 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776237 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771688 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768176 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.768523 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.770342 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.76759 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.766819 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.768522 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.770917 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.772284 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.775202 [32] validation_0-merror:0.35 validation_0-mlogloss:0.770574 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.766819 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04565 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00161 [2] validation_0-merror:0.3 validation_0-mlogloss:0.965583 [3] validation_0-merror:0.3 validation_0-mlogloss:0.935477 [4] validation_0-merror:0.3 validation_0-mlogloss:0.909748 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887099 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.868575 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.851422 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.83731 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.825946 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.816568 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808665 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798922 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794824 [14] validation_0-merror:0.3 validation_0-mlogloss:0.788809 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776859 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769786 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765219 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763146 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.760363 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759275 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755352 [22] validation_0-merror:0.3 validation_0-mlogloss:0.751493 [23] validation_0-merror:0.3 validation_0-mlogloss:0.747821 [24] validation_0-merror:0.3 validation_0-mlogloss:0.747743 [25] validation_0-merror:0.3 validation_0-mlogloss:0.744328 [26] validation_0-merror:0.3 validation_0-mlogloss:0.737378 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.73405 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729179 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.728486 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.729233 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730365 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.729709 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.730599 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.733458 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.728486 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05061 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00774 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969598 [3] validation_0-merror:0.35 validation_0-mlogloss:0.942965 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919984 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897982 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.879893 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863687 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847903 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.834005 [10] validation_0-merror:0.35 validation_0-mlogloss:0.821849 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812059 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803771 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794829 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788687 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.783547 [16] validation_0-merror:0.35 validation_0-mlogloss:0.7803 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774097 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773413 [19] validation_0-merror:0.35 validation_0-mlogloss:0.772768 [20] validation_0-merror:0.35 validation_0-mlogloss:0.770636 [21] validation_0-merror:0.35 validation_0-mlogloss:0.766567 [22] validation_0-merror:0.35 validation_0-mlogloss:0.767365 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.764904 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.763807 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761573 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759729 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.760836 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.761793 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.764858 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.763809 [31] validation_0-merror:0.3 validation_0-mlogloss:0.760507 Stopping. Best iteration: [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759729 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.0465 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0066 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.972381 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942362 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.914684 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89754 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880307 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863985 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853206 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839029 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.824629 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814858 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811428 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806254 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804999 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801966 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.800188 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.798923 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.797517 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.797335 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.797235 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.798909 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.799124 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.796905 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.792969 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.787156 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.785181 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.787598 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.790654 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.785811 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.785833 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.785734 Stopping. Best iteration: [27] validation_0-merror:0.266667 validation_0-mlogloss:0.785181 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977814 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947467 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92421 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.904648 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.884441 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867744 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855993 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838866 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828804 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818398 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809541 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802788 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798748 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791238 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77717 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772421 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766297 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762789 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75212 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747739 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742953 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731616 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72577 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719724 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.720933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712249 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.713642 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714205 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715726 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715633 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716172 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02339 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990442 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957909 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935424 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.915604 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895184 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880402 [8] validation_0-merror:0.4 validation_0-mlogloss:0.860655 [9] validation_0-merror:0.4 validation_0-mlogloss:0.84984 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839918 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826463 [12] validation_0-merror:0.4 validation_0-mlogloss:0.822536 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814093 [14] validation_0-merror:0.4 validation_0-mlogloss:0.804488 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.795261 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784806 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782293 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781027 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773919 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76828 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761274 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761487 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759078 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755337 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.758482 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751379 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.750573 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748142 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.746687 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746363 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.747585 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.747031 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746613 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.750923 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.754706 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746363 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996558 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964731 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942958 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92351 [6] validation_0-merror:0.3 validation_0-mlogloss:0.907273 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.89276 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877482 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866317 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858669 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848569 [12] validation_0-merror:0.3 validation_0-mlogloss:0.8329 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826238 [14] validation_0-merror:0.3 validation_0-mlogloss:0.815952 [15] validation_0-merror:0.3 validation_0-mlogloss:0.804127 [16] validation_0-merror:0.3 validation_0-mlogloss:0.799486 [17] validation_0-merror:0.3 validation_0-mlogloss:0.79297 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789668 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779694 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773589 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772332 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765564 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76385 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761579 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754216 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.752061 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747653 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746474 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738908 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739179 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741515 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741592 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.74122 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.742004 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01042 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978708 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950791 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931127 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911968 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889063 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86788 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847847 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831055 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820093 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.805326 [12] validation_0-merror:0.3 validation_0-mlogloss:0.79388 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.786333 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782507 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77272 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.762197 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.759478 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.754665 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.754603 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745539 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.739776 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.731683 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.725537 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.721174 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.721047 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.71891 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.715559 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713993 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.718112 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.714958 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.714763 [32] validation_0-merror:0.25 validation_0-mlogloss:0.714722 [33] validation_0-merror:0.25 validation_0-mlogloss:0.712995 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.715219 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.710106 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.713438 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.710296 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707701 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.706057 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.705514 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.705671 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.704598 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.70545 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.709952 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.709203 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.70771 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.709085 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.704598 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01591 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981423 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947044 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921537 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903831 [6] validation_0-merror:0.4 validation_0-mlogloss:0.886638 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.876348 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865039 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853282 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836329 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828175 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.821522 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.812169 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.797363 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.794624 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.789164 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.782844 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778097 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767165 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768274 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764311 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.770931 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766915 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76972 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773429 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.771704 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764311 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.955202 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937503 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922889 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901955 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.882544 [8] validation_0-merror:0.3 validation_0-mlogloss:0.87606 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.870375 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865667 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.859079 [12] validation_0-merror:0.3 validation_0-mlogloss:0.848631 [13] validation_0-merror:0.3 validation_0-mlogloss:0.845841 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829134 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.818057 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80867 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.803282 [18] validation_0-merror:0.3 validation_0-mlogloss:0.799546 [19] validation_0-merror:0.3 validation_0-mlogloss:0.793758 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.790882 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.791638 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.784742 [23] validation_0-merror:0.35 validation_0-mlogloss:0.784981 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.784282 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.782579 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.779384 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.779731 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784829 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.785354 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.790148 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.792382 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.779384 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05014 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0133 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983256 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956482 [4] validation_0-merror:0.4 validation_0-mlogloss:0.932624 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91368 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898534 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.884716 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.872342 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861839 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852263 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.840863 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832647 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.826908 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819231 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.813579 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.80947 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.803722 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79933 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.797454 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.789966 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.786272 [22] validation_0-merror:0.3 validation_0-mlogloss:0.784774 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.782965 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.780329 [25] validation_0-merror:0.3 validation_0-mlogloss:0.776049 [26] validation_0-merror:0.3 validation_0-mlogloss:0.772161 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770949 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.765089 [29] validation_0-merror:0.3 validation_0-mlogloss:0.765564 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.767107 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.766161 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.76363 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.762722 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.763124 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.76242 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.763079 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.761309 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.762139 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.758349 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.75795 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.758772 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.760914 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.761395 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.761937 [45] validation_0-merror:0.3 validation_0-mlogloss:0.763076 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.75795 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951087 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.924063 [5] validation_0-merror:0.4 validation_0-mlogloss:0.905917 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885758 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868865 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852656 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839469 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.828856 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.824432 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.819459 [13] validation_0-merror:0.4 validation_0-mlogloss:0.811746 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80716 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802575 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798257 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793691 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.793677 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789343 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785579 [21] validation_0-merror:0.35 validation_0-mlogloss:0.784121 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.788081 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.787792 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.784631 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.782268 [26] validation_0-merror:0.35 validation_0-mlogloss:0.781517 [27] validation_0-merror:0.35 validation_0-mlogloss:0.78 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.779209 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.780934 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.782209 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.783065 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.787764 [33] validation_0-merror:0.35 validation_0-mlogloss:0.787292 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.779209 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01393 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981005 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954446 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.934778 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912824 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897586 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880634 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86745 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.860471 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852615 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839184 [12] validation_0-merror:0.3 validation_0-mlogloss:0.831529 [13] validation_0-merror:0.3 validation_0-mlogloss:0.824008 [14] validation_0-merror:0.3 validation_0-mlogloss:0.826454 [15] validation_0-merror:0.3 validation_0-mlogloss:0.82764 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.829054 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.825275 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.825624 Stopping. Best iteration: [13] validation_0-merror:0.3 validation_0-mlogloss:0.824008 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979981 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948866 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92424 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903444 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884472 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867183 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8531 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835866 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822619 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.814225 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805639 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794701 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790738 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783433 [16] validation_0-merror:0.3 validation_0-mlogloss:0.773079 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766871 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760822 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754414 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.7477 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743316 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.740004 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733221 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.725358 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.719433 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.719415 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.713313 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.713444 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713275 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713529 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71299 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714464 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711722 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711887 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712126 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714308 [37] validation_0-merror:0.3 validation_0-mlogloss:0.71924 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.714732 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.711722 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06499 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02584 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993779 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936197 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.916826 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896465 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.880751 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.861646 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852293 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.841665 [11] validation_0-merror:0.4 validation_0-mlogloss:0.82916 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.825037 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816211 [14] validation_0-merror:0.4 validation_0-mlogloss:0.807975 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80089 [16] validation_0-merror:0.4 validation_0-mlogloss:0.789188 [17] validation_0-merror:0.4 validation_0-mlogloss:0.783832 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78114 [19] validation_0-merror:0.4 validation_0-mlogloss:0.772123 [20] validation_0-merror:0.4 validation_0-mlogloss:0.767395 [21] validation_0-merror:0.4 validation_0-mlogloss:0.762974 [22] validation_0-merror:0.4 validation_0-mlogloss:0.761874 [23] validation_0-merror:0.4 validation_0-mlogloss:0.756636 [24] validation_0-merror:0.4 validation_0-mlogloss:0.7543 [25] validation_0-merror:0.4 validation_0-mlogloss:0.758471 [26] validation_0-merror:0.4 validation_0-mlogloss:0.75184 [27] validation_0-merror:0.4 validation_0-mlogloss:0.747059 [28] validation_0-merror:0.4 validation_0-mlogloss:0.745896 [29] validation_0-merror:0.4 validation_0-mlogloss:0.74293 [30] validation_0-merror:0.4 validation_0-mlogloss:0.743413 [31] validation_0-merror:0.4 validation_0-mlogloss:0.745419 [32] validation_0-merror:0.4 validation_0-mlogloss:0.745964 [33] validation_0-merror:0.4 validation_0-mlogloss:0.744252 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.743575 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.74293 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971355 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950909 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930972 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91499 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900704 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.884659 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868742 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.850018 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834555 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827925 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815598 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806751 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799917 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791446 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790312 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.783636 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.783032 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777183 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771882 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764645 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759816 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756498 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750983 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747648 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.744518 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.741673 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736998 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734378 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734741 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.737882 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.738273 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738738 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734378 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979138 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950196 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927634 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905769 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883397 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864377 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.844717 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828343 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816003 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802537 [12] validation_0-merror:0.3 validation_0-mlogloss:0.792657 [13] validation_0-merror:0.3 validation_0-mlogloss:0.78557 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778632 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769025 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761957 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.760728 [18] validation_0-merror:0.3 validation_0-mlogloss:0.75371 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751409 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742481 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735473 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732828 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724942 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721486 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716829 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71449 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71021 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.707058 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.706749 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706102 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706219 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705532 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706151 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706359 [35] validation_0-merror:0.3 validation_0-mlogloss:0.704494 [36] validation_0-merror:0.3 validation_0-mlogloss:0.703587 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704589 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702619 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.702947 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.705226 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705602 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.704269 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.703374 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702619 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984397 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953788 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930906 [5] validation_0-merror:0.4 validation_0-mlogloss:0.915759 [6] validation_0-merror:0.4 validation_0-mlogloss:0.900769 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.88993 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.877897 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.862824 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.847403 [11] validation_0-merror:0.4 validation_0-mlogloss:0.839513 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.831302 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821801 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811057 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806751 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800456 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794021 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787466 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782796 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784537 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778725 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.780486 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775414 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778843 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.780163 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.773036 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.772749 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.773775 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.77709 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.775918 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.774442 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.775915 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.772749 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.939726 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923532 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88574 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875029 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86751 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853032 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843694 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835586 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831107 [14] validation_0-merror:0.3 validation_0-mlogloss:0.822854 [15] validation_0-merror:0.3 validation_0-mlogloss:0.81827 [16] validation_0-merror:0.3 validation_0-mlogloss:0.814822 [17] validation_0-merror:0.3 validation_0-mlogloss:0.811831 [18] validation_0-merror:0.3 validation_0-mlogloss:0.806553 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.792693 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.789984 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.79218 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.788568 [23] validation_0-merror:0.3 validation_0-mlogloss:0.783701 [24] validation_0-merror:0.3 validation_0-mlogloss:0.785055 [25] validation_0-merror:0.3 validation_0-mlogloss:0.788718 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781949 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.780722 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.783785 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.781056 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.779778 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.777492 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.774656 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.773193 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771732 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.776411 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.77645 [37] validation_0-merror:0.3 validation_0-mlogloss:0.774737 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.772402 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.773587 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771732 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0094 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976195 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949984 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926895 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908234 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889931 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.87593 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863028 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85097 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84166 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820252 [13] validation_0-merror:0.35 validation_0-mlogloss:0.812143 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805389 [15] validation_0-merror:0.35 validation_0-mlogloss:0.797279 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.790504 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.787732 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785045 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.783639 [20] validation_0-merror:0.35 validation_0-mlogloss:0.783856 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781297 [22] validation_0-merror:0.35 validation_0-mlogloss:0.775608 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771942 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764041 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760196 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753261 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750666 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747336 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.745721 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.742996 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743457 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.740646 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.741765 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.740868 [35] validation_0-merror:0.3 validation_0-mlogloss:0.743736 [36] validation_0-merror:0.3 validation_0-mlogloss:0.742711 [37] validation_0-merror:0.3 validation_0-mlogloss:0.74021 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.744303 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.745194 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.745941 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.745493 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.746942 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.74021 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00777 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974933 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947148 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.923004 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900693 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881207 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86428 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848709 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836951 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830673 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822705 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81575 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.807554 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802816 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798283 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792252 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791123 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786978 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784244 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783267 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.782184 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.780606 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77505 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.774503 [26] validation_0-merror:0.35 validation_0-mlogloss:0.772607 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.770997 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.77083 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770793 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.771944 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.77644 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.780503 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.783348 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.787884 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770793 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958837 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932339 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910499 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.896172 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883655 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871181 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.859054 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.852208 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840485 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82971 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827039 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.825983 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82296 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.81692 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.815944 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.811859 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807218 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.81021 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.804168 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.802984 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.797831 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.796839 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795279 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.791291 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.78867 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784194 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781808 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.775339 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773154 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771963 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.773099 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.770066 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771921 [36] validation_0-merror:0.3 validation_0-mlogloss:0.769482 [37] validation_0-merror:0.3 validation_0-mlogloss:0.769368 [38] validation_0-merror:0.3 validation_0-mlogloss:0.767891 [39] validation_0-merror:0.3 validation_0-mlogloss:0.767675 [40] validation_0-merror:0.3 validation_0-mlogloss:0.768115 [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [42] validation_0-merror:0.3 validation_0-mlogloss:0.766948 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.766511 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767545 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.766775 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.766563 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957115 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929859 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905851 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888176 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854842 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838351 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825383 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818343 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809114 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800187 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.796101 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783523 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774648 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768477 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759393 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752573 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743279 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736933 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729155 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.719533 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709016 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.701934 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7018 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.69668 [28] validation_0-merror:0.35 validation_0-mlogloss:0.696852 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.694967 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.690111 [31] validation_0-merror:0.35 validation_0-mlogloss:0.689708 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.684979 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.685805 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.683019 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679366 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.679347 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.679817 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.676225 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.673054 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.66749 [41] validation_0-merror:0.3 validation_0-mlogloss:0.661925 [42] validation_0-merror:0.3 validation_0-mlogloss:0.662174 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.659757 [44] validation_0-merror:0.3 validation_0-mlogloss:0.657703 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.654125 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.652821 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.6544 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.651917 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.652303 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.653148 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.648917 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.644903 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.6459 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.650725 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.651654 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.651919 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.644904 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.644903 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02924 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.999424 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968785 [4] validation_0-merror:0.45 validation_0-mlogloss:0.947462 [5] validation_0-merror:0.4 validation_0-mlogloss:0.928473 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.908542 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893455 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.881546 [9] validation_0-merror:0.4 validation_0-mlogloss:0.871879 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.860948 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.847758 [12] validation_0-merror:0.4 validation_0-mlogloss:0.841687 [13] validation_0-merror:0.4 validation_0-mlogloss:0.832329 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818484 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.811528 [16] validation_0-merror:0.4 validation_0-mlogloss:0.804208 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79515 [18] validation_0-merror:0.4 validation_0-mlogloss:0.786716 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77725 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77292 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.763945 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.76285 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756085 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.752993 [25] validation_0-merror:0.35 validation_0-mlogloss:0.759186 [26] validation_0-merror:0.35 validation_0-mlogloss:0.751992 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.749609 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748437 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740467 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.741217 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.736611 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.731193 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.731028 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.727094 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.729195 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.728887 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.728858 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737116 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.737777 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.727094 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02765 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996339 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864545 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847237 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834271 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822873 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807569 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801118 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785143 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768871 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.75938 [17] validation_0-merror:0.3 validation_0-mlogloss:0.74955 [18] validation_0-merror:0.3 validation_0-mlogloss:0.750431 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739634 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.738191 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.732657 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.730316 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725524 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723851 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725626 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.717777 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712352 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703786 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695277 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690022 [31] validation_0-merror:0.3 validation_0-mlogloss:0.688996 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685859 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68376 [34] validation_0-merror:0.3 validation_0-mlogloss:0.6835 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682862 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681746 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.679086 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.67489 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.669823 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.669655 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.663115 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.664704 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.662271 [44] validation_0-merror:0.3 validation_0-mlogloss:0.661368 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.65707 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656901 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.656359 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.654595 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654784 [50] validation_0-merror:0.25 validation_0-mlogloss:0.659189 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.660398 [52] validation_0-merror:0.25 validation_0-mlogloss:0.658491 [53] validation_0-merror:0.25 validation_0-mlogloss:0.655292 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.654595 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992161 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962494 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94413 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921344 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901077 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882455 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865987 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846305 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835279 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818134 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803937 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794254 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787522 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777202 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769518 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764631 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.7581 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753806 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745275 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738252 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727328 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719756 [24] validation_0-merror:0.3 validation_0-mlogloss:0.713337 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709713 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706138 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.701835 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697064 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696319 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.69284 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.688889 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688214 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687897 [34] validation_0-merror:0.3 validation_0-mlogloss:0.685401 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682103 [36] validation_0-merror:0.3 validation_0-mlogloss:0.681823 [37] validation_0-merror:0.3 validation_0-mlogloss:0.679591 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.677049 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675222 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673084 [41] validation_0-merror:0.3 validation_0-mlogloss:0.669321 [42] validation_0-merror:0.3 validation_0-mlogloss:0.667997 [43] validation_0-merror:0.3 validation_0-mlogloss:0.666352 [44] validation_0-merror:0.3 validation_0-mlogloss:0.663783 [45] validation_0-merror:0.3 validation_0-mlogloss:0.661484 [46] validation_0-merror:0.3 validation_0-mlogloss:0.663514 [47] validation_0-merror:0.3 validation_0-mlogloss:0.664298 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.664304 [49] validation_0-merror:0.3 validation_0-mlogloss:0.66628 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.669564 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.661484 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02448 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994924 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960939 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941183 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.925108 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907552 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.896485 [8] validation_0-merror:0.4 validation_0-mlogloss:0.88438 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873334 [10] validation_0-merror:0.4 validation_0-mlogloss:0.860382 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.851408 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.8405 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829363 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816939 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806767 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798822 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793961 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785291 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778113 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772308 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764978 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767795 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765945 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763789 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762472 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756298 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752126 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753586 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751518 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751019 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750844 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748097 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746518 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743269 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739855 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737617 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734933 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738259 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732996 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.733794 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.734847 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.736322 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.732726 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.733423 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.734115 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.735052 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.738531 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00355 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976736 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936879 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91662 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901942 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886389 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875851 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.869907 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86255 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846275 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830407 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810056 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.802421 [17] validation_0-merror:0.35 validation_0-mlogloss:0.792757 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785661 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771222 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765192 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762802 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.760105 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751251 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.746811 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.74245 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736475 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.731515 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729847 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727285 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.723773 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721278 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717365 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.714841 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.71262 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.71146 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.704787 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.701508 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.698022 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.697998 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.696666 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.69326 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693725 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.690503 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.689465 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687419 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.687733 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.686988 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.687914 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.687266 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.683783 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.681546 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.680539 [53] validation_0-merror:0.3 validation_0-mlogloss:0.6796 [54] validation_0-merror:0.3 validation_0-mlogloss:0.67823 [55] validation_0-merror:0.3 validation_0-mlogloss:0.67575 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.674067 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.676349 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.679107 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.676441 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.675836 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.6784 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.674067 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98389 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933361 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894458 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875597 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829378 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820117 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809333 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790178 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774166 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753279 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745298 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741313 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73474 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726765 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722875 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722321 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716517 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712428 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707924 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705273 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700477 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697341 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.696505 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.693135 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691491 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.691679 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69008 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.688398 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.688094 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.688758 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.688574 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685554 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684172 [45] validation_0-merror:0.3 validation_0-mlogloss:0.683395 [46] validation_0-merror:0.3 validation_0-mlogloss:0.685492 [47] validation_0-merror:0.3 validation_0-mlogloss:0.687542 [48] validation_0-merror:0.3 validation_0-mlogloss:0.687036 [49] validation_0-merror:0.3 validation_0-mlogloss:0.687835 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68597 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.683395 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01987 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990724 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963656 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941415 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923077 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907852 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892961 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878687 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854829 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83503 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825436 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819627 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809435 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801614 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792741 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.7928 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787746 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782828 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776984 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.773407 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770456 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767431 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763838 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756227 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75178 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748989 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74647 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74224 [31] validation_0-merror:0.35 validation_0-mlogloss:0.740189 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736037 [33] validation_0-merror:0.35 validation_0-mlogloss:0.731566 [34] validation_0-merror:0.35 validation_0-mlogloss:0.728776 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727354 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724038 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721929 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.719591 [40] validation_0-merror:0.35 validation_0-mlogloss:0.719946 [41] validation_0-merror:0.35 validation_0-mlogloss:0.719262 [42] validation_0-merror:0.35 validation_0-mlogloss:0.717498 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718157 [44] validation_0-merror:0.35 validation_0-mlogloss:0.719328 [45] validation_0-merror:0.35 validation_0-mlogloss:0.717529 [46] validation_0-merror:0.35 validation_0-mlogloss:0.716041 [47] validation_0-merror:0.35 validation_0-mlogloss:0.714319 [48] validation_0-merror:0.35 validation_0-mlogloss:0.713434 [49] validation_0-merror:0.35 validation_0-mlogloss:0.713208 [50] validation_0-merror:0.35 validation_0-mlogloss:0.711666 [51] validation_0-merror:0.35 validation_0-mlogloss:0.710018 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709432 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.708505 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.707427 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.708658 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.707738 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.70808 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.706968 [60] validation_0-merror:0.333333 validation_0-mlogloss:0.708591 [61] validation_0-merror:0.333333 validation_0-mlogloss:0.707696 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.707573 [63] validation_0-merror:0.333333 validation_0-mlogloss:0.708077 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05916 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02611 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994486 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950669 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918517 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901938 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.878065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865067 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8564 [12] validation_0-merror:0.35 validation_0-mlogloss:0.846713 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839065 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.832761 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819538 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813601 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806633 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.797196 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.792266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783326 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774413 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77261 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.769116 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765775 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763464 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758327 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75391 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74693 [31] validation_0-merror:0.3 validation_0-mlogloss:0.743617 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740483 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738451 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734002 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731865 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726533 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722561 [38] validation_0-merror:0.3 validation_0-mlogloss:0.719795 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716457 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714419 [41] validation_0-merror:0.3 validation_0-mlogloss:0.71316 [42] validation_0-merror:0.3 validation_0-mlogloss:0.709243 [43] validation_0-merror:0.3 validation_0-mlogloss:0.70653 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705782 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.701926 [46] validation_0-merror:0.3 validation_0-mlogloss:0.700715 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.699192 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.696164 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.695705 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.694089 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.693189 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.691576 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.689863 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.689605 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.687254 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.684269 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.683794 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.682946 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.68303 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.681944 [61] validation_0-merror:0.3 validation_0-mlogloss:0.681301 [62] validation_0-merror:0.3 validation_0-mlogloss:0.679488 [63] validation_0-merror:0.3 validation_0-mlogloss:0.675297 [64] validation_0-merror:0.3 validation_0-mlogloss:0.675885 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.674631 [66] validation_0-merror:0.3 validation_0-mlogloss:0.674002 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.673484 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.67418 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.672973 [70] validation_0-merror:0.3 validation_0-mlogloss:0.673112 [71] validation_0-merror:0.3 validation_0-mlogloss:0.672119 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.668653 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.667023 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.665425 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.666229 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.667145 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.66558 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.664294 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.663643 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.664474 [81] validation_0-merror:0.266667 validation_0-mlogloss:0.664032 [82] validation_0-merror:0.266667 validation_0-mlogloss:0.665234 [83] validation_0-merror:0.266667 validation_0-mlogloss:0.665318 [84] validation_0-merror:0.266667 validation_0-mlogloss:0.662972 [85] validation_0-merror:0.266667 validation_0-mlogloss:0.662864 [86] validation_0-merror:0.266667 validation_0-mlogloss:0.665703 [87] validation_0-merror:0.266667 validation_0-mlogloss:0.666256 [88] validation_0-merror:0.266667 validation_0-mlogloss:0.666273 [89] validation_0-merror:0.266667 validation_0-mlogloss:0.667449 [90] validation_0-merror:0.266667 validation_0-mlogloss:0.66635 Stopping. Best iteration: [85] validation_0-merror:0.266667 validation_0-mlogloss:0.662864 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05469 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01474 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983393 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.959914 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936107 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913957 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893557 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878262 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860331 [9] validation_0-merror:0.4 validation_0-mlogloss:0.843821 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.832298 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826566 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817561 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809765 [14] validation_0-merror:0.35 validation_0-mlogloss:0.804593 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791296 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780701 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773573 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763645 [19] validation_0-merror:0.3 validation_0-mlogloss:0.757314 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748499 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74173 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736449 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727829 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718123 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.710206 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709791 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.702194 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69784 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692636 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.688034 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.686998 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.685399 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.686065 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.68257 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.67954 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.679836 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.68088 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.678897 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.675986 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673603 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.668818 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.666187 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.667502 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.666203 [45] validation_0-merror:0.3 validation_0-mlogloss:0.663227 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.663166 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.66111 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660647 [49] validation_0-merror:0.3 validation_0-mlogloss:0.658868 [50] validation_0-merror:0.3 validation_0-mlogloss:0.660716 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.659431 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.655405 [53] validation_0-merror:0.3 validation_0-mlogloss:0.658345 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.662698 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.661351 [56] validation_0-merror:0.3 validation_0-mlogloss:0.662486 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.655983 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.655405 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.483333 validation_0-mlogloss:1.02837 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.997974 [3] validation_0-merror:0.45 validation_0-mlogloss:0.967403 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.944045 [5] validation_0-merror:0.4 validation_0-mlogloss:0.92508 [6] validation_0-merror:0.4 validation_0-mlogloss:0.90623 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891002 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87897 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.865608 [10] validation_0-merror:0.433333 validation_0-mlogloss:0.853979 [11] validation_0-merror:0.433333 validation_0-mlogloss:0.84169 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.835824 [13] validation_0-merror:0.433333 validation_0-mlogloss:0.827928 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.815515 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.809861 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.803372 [17] validation_0-merror:0.4 validation_0-mlogloss:0.795588 [18] validation_0-merror:0.4 validation_0-mlogloss:0.787414 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.777646 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772894 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.764083 [22] validation_0-merror:0.4 validation_0-mlogloss:0.762824 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755139 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.751162 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755308 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.747899 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.746324 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.740172 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.733156 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733693 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73103 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.727343 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.725337 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.719307 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.723045 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.723338 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.722906 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.731219 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.732602 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.719307 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02834 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997193 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968909 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941446 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9212 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896138 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883301 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866173 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852757 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840416 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.828545 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81331 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807056 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.79157 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.778269 [16] validation_0-merror:0.3 validation_0-mlogloss:0.768247 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.755946 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751586 [19] validation_0-merror:0.3 validation_0-mlogloss:0.74243 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73946 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740364 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736721 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730464 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728542 [25] validation_0-merror:0.3 validation_0-mlogloss:0.73141 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722227 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.7162 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708767 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701622 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697538 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.69654 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693332 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691364 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.690859 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.690326 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.689481 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.689185 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.68997 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685854 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683061 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.67814 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.678847 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.674458 [44] validation_0-merror:0.25 validation_0-mlogloss:0.674317 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.668895 [46] validation_0-merror:0.25 validation_0-mlogloss:0.667867 [47] validation_0-merror:0.25 validation_0-mlogloss:0.66689 [48] validation_0-merror:0.25 validation_0-mlogloss:0.664607 [49] validation_0-merror:0.25 validation_0-mlogloss:0.666123 [50] validation_0-merror:0.25 validation_0-mlogloss:0.670475 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.671999 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.670631 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668723 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.664607 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987607 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957727 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938391 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915381 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89566 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877049 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862081 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844777 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815798 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80223 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791698 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783859 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773604 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766649 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763302 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753992 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.748354 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741825 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732602 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72137 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.715615 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708167 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.704963 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.701903 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697124 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690584 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689635 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.684491 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683718 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.679739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679553 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.677364 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671714 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671943 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669091 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665411 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662756 [40] validation_0-merror:0.3 validation_0-mlogloss:0.66268 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65893 [42] validation_0-merror:0.3 validation_0-mlogloss:0.656993 [43] validation_0-merror:0.3 validation_0-mlogloss:0.656516 [44] validation_0-merror:0.3 validation_0-mlogloss:0.652469 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651939 [46] validation_0-merror:0.3 validation_0-mlogloss:0.65383 [47] validation_0-merror:0.3 validation_0-mlogloss:0.652088 [48] validation_0-merror:0.3 validation_0-mlogloss:0.65405 [49] validation_0-merror:0.3 validation_0-mlogloss:0.652893 [50] validation_0-merror:0.3 validation_0-mlogloss:0.65126 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654442 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649168 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.653097 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654706 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.654175 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.655108 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.652903 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649168 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02395 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959635 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.939869 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.922923 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901291 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890537 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865606 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.841058 [12] validation_0-merror:0.4 validation_0-mlogloss:0.830073 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820154 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809705 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800433 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789962 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785311 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777948 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.771938 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766046 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758796 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757954 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756001 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.753812 [25] validation_0-merror:0.35 validation_0-mlogloss:0.752516 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746214 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742054 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741922 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740236 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.739434 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.737695 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.735922 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73319 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.730957 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728613 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.726453 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.721913 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.726055 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.721929 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.722634 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.724304 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.724039 Stopping. Best iteration: [37] validation_0-merror:0.366667 validation_0-mlogloss:0.721913 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884397 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874682 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868935 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.863068 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.850358 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834583 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81799 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80646 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.802578 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793252 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786268 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773408 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768337 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764725 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75295 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747332 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742827 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736993 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.732429 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.729698 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.726446 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719418 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.716556 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713765 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.711036 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.70954 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.711321 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.704929 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701486 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69983 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699749 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.697004 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.694443 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.694985 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694757 [44] validation_0-merror:0.3 validation_0-mlogloss:0.694214 [45] validation_0-merror:0.3 validation_0-mlogloss:0.690075 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691491 [47] validation_0-merror:0.3 validation_0-mlogloss:0.690946 [48] validation_0-merror:0.3 validation_0-mlogloss:0.689556 [49] validation_0-merror:0.3 validation_0-mlogloss:0.687539 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.684396 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.68314 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.68213 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681307 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.680958 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.67819 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.676759 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.679525 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.680951 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.678941 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.678917 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.678238 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.676759 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05463 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01756 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986296 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958132 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934568 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897506 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876489 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865152 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848719 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799488 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781379 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762154 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754098 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748429 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740114 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736016 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.734745 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733889 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731193 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727349 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.723694 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718675 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715493 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713021 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711359 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706408 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701249 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.700666 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.697768 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.696077 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.695734 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697219 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.699118 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.695542 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.696732 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.692983 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692382 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.692554 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.693844 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.695358 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.695376 [50] validation_0-merror:0.3 validation_0-mlogloss:0.69341 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692382 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989064 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940064 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919515 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903489 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88863 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873529 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863457 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848874 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839976 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.828067 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821968 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810682 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80288 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797696 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792869 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785154 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781572 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776567 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.772147 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766613 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.763856 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760145 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755399 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.752462 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.7475 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.742376 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.735351 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.732237 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.73249 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728441 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.7246 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.722741 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.720431 [36] validation_0-merror:0.35 validation_0-mlogloss:0.718574 [37] validation_0-merror:0.35 validation_0-mlogloss:0.715895 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.715215 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.712112 [40] validation_0-merror:0.35 validation_0-mlogloss:0.710389 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.710368 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.710024 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.710252 [44] validation_0-merror:0.35 validation_0-mlogloss:0.707608 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.708145 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.706908 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.709608 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.709183 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.707216 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.708035 [51] validation_0-merror:0.35 validation_0-mlogloss:0.707475 Stopping. Best iteration: [46] validation_0-merror:0.333333 validation_0-mlogloss:0.706908 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05873 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02659 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994819 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950898 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917964 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.877987 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.870411 [11] validation_0-merror:0.35 validation_0-mlogloss:0.857516 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844253 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837144 [14] validation_0-merror:0.35 validation_0-mlogloss:0.827991 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.82159 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810362 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803308 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.793427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.784638 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.781167 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776585 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774226 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.768252 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766293 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757659 [28] validation_0-merror:0.3 validation_0-mlogloss:0.753197 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749553 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.745402 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.742119 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739107 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735322 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732466 [35] validation_0-merror:0.3 validation_0-mlogloss:0.729694 [36] validation_0-merror:0.3 validation_0-mlogloss:0.727917 [37] validation_0-merror:0.3 validation_0-mlogloss:0.724166 [38] validation_0-merror:0.3 validation_0-mlogloss:0.720618 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717459 [40] validation_0-merror:0.3 validation_0-mlogloss:0.715655 [41] validation_0-merror:0.3 validation_0-mlogloss:0.712282 [42] validation_0-merror:0.3 validation_0-mlogloss:0.71189 [43] validation_0-merror:0.3 validation_0-mlogloss:0.708804 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70711 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.704258 [46] validation_0-merror:0.3 validation_0-mlogloss:0.703425 [47] validation_0-merror:0.3 validation_0-mlogloss:0.703465 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.704262 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.702925 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.702929 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.701062 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.699449 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.701081 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.702525 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.701498 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.699533 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.698299 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.6973 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.695756 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.698236 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.696612 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.700277 [63] validation_0-merror:0.3 validation_0-mlogloss:0.700095 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.701208 Stopping. Best iteration: [59] validation_0-merror:0.316667 validation_0-mlogloss:0.695756 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9822 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931776 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913098 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.895552 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880228 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.864343 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847611 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834713 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825791 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816161 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805991 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.802136 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790919 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77805 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768969 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759144 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753373 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744539 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737564 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73273 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721661 [24] validation_0-merror:0.3 validation_0-mlogloss:0.713127 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.706173 [26] validation_0-merror:0.3 validation_0-mlogloss:0.706465 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700522 [28] validation_0-merror:0.3 validation_0-mlogloss:0.697139 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694255 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689024 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689841 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686361 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.688485 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688171 [35] validation_0-merror:0.3 validation_0-mlogloss:0.6866 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.688111 [37] validation_0-merror:0.3 validation_0-mlogloss:0.687658 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.686361 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999033 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.970131 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.94552 [5] validation_0-merror:0.4 validation_0-mlogloss:0.925685 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905737 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890792 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872098 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856854 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.84497 [11] validation_0-merror:0.4 validation_0-mlogloss:0.832558 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827463 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817903 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805274 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80139 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.794416 [17] validation_0-merror:0.4 validation_0-mlogloss:0.784621 [18] validation_0-merror:0.4 validation_0-mlogloss:0.778706 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.771194 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.766158 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757912 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.756472 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.751302 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.747947 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.747633 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.740639 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737525 [28] validation_0-merror:0.35 validation_0-mlogloss:0.730662 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.727605 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.730878 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731784 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.726826 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.725329 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721373 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725589 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.726024 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.723034 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730654 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.730982 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.721373 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06211 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03224 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.999256 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971762 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.947726 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927219 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905294 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890735 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.874335 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861712 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.85112 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837983 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823167 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816486 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801626 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788295 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780996 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768617 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765575 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759379 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75587 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756225 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754267 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749588 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746735 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749912 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742752 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735752 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729472 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723878 [30] validation_0-merror:0.3 validation_0-mlogloss:0.718834 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714801 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714191 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714105 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714127 [35] validation_0-merror:0.3 validation_0-mlogloss:0.714367 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.713722 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.712131 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.71366 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.710837 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.708897 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.70498 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.708887 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.704624 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.70563 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.698192 [46] validation_0-merror:0.3 validation_0-mlogloss:0.698732 [47] validation_0-merror:0.3 validation_0-mlogloss:0.698707 [48] validation_0-merror:0.3 validation_0-mlogloss:0.694118 [49] validation_0-merror:0.3 validation_0-mlogloss:0.690962 [50] validation_0-merror:0.3 validation_0-mlogloss:0.694872 [51] validation_0-merror:0.3 validation_0-mlogloss:0.697437 [52] validation_0-merror:0.3 validation_0-mlogloss:0.697184 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.693982 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.693277 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.690962 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02247 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990685 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.964255 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94683 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926591 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907472 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890389 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87301 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855407 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843064 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827681 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813753 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80337 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796855 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787746 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777725 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772092 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.756811 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750753 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745412 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736338 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726048 [23] validation_0-merror:0.3 validation_0-mlogloss:0.718665 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710609 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710751 [26] validation_0-merror:0.3 validation_0-mlogloss:0.707568 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703382 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.697338 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.696107 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.690724 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689956 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689613 [33] validation_0-merror:0.3 validation_0-mlogloss:0.690452 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690359 [35] validation_0-merror:0.3 validation_0-mlogloss:0.685303 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687559 [37] validation_0-merror:0.3 validation_0-mlogloss:0.684455 [38] validation_0-merror:0.3 validation_0-mlogloss:0.680673 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677625 [40] validation_0-merror:0.3 validation_0-mlogloss:0.675839 [41] validation_0-merror:0.3 validation_0-mlogloss:0.671899 [42] validation_0-merror:0.3 validation_0-mlogloss:0.671436 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667652 [44] validation_0-merror:0.3 validation_0-mlogloss:0.662484 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.661202 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664861 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.662156 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.663442 [49] validation_0-merror:0.3 validation_0-mlogloss:0.662072 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.657625 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660339 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.65701 [53] validation_0-merror:0.3 validation_0-mlogloss:0.654999 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.656748 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.656121 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.657154 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.653414 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.648631 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.647713 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.650028 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.651227 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.651837 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.64994 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.648305 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.647713 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02314 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991425 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959874 [4] validation_0-merror:0.4 validation_0-mlogloss:0.940012 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.922646 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905612 [7] validation_0-merror:0.4 validation_0-mlogloss:0.895138 [8] validation_0-merror:0.4 validation_0-mlogloss:0.884125 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.870054 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.858342 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845625 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.834494 [13] validation_0-merror:0.4 validation_0-mlogloss:0.821461 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809884 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800811 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790467 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.782771 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775674 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769534 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76195 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753939 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.754346 [23] validation_0-merror:0.35 validation_0-mlogloss:0.749593 [24] validation_0-merror:0.35 validation_0-mlogloss:0.746049 [25] validation_0-merror:0.35 validation_0-mlogloss:0.744551 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.736472 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731806 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729789 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727921 [30] validation_0-merror:0.35 validation_0-mlogloss:0.727017 [31] validation_0-merror:0.35 validation_0-mlogloss:0.725797 [32] validation_0-merror:0.35 validation_0-mlogloss:0.724282 [33] validation_0-merror:0.35 validation_0-mlogloss:0.72152 [34] validation_0-merror:0.35 validation_0-mlogloss:0.720919 [35] validation_0-merror:0.35 validation_0-mlogloss:0.719506 [36] validation_0-merror:0.35 validation_0-mlogloss:0.71614 [37] validation_0-merror:0.35 validation_0-mlogloss:0.71601 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719591 [39] validation_0-merror:0.35 validation_0-mlogloss:0.716997 [40] validation_0-merror:0.35 validation_0-mlogloss:0.717717 [41] validation_0-merror:0.35 validation_0-mlogloss:0.719243 [42] validation_0-merror:0.35 validation_0-mlogloss:0.719104 Stopping. Best iteration: [37] validation_0-merror:0.35 validation_0-mlogloss:0.71601 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977306 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954358 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.937241 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.91707 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.902421 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889056 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881804 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.877556 [11] validation_0-merror:0.4 validation_0-mlogloss:0.871845 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.858107 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.844882 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.82775 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816615 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808529 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803288 [18] validation_0-merror:0.3 validation_0-mlogloss:0.796043 [19] validation_0-merror:0.3 validation_0-mlogloss:0.784692 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779988 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.777727 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.77383 [23] validation_0-merror:0.3 validation_0-mlogloss:0.76552 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76068 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756634 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.752003 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747239 [28] validation_0-merror:0.3 validation_0-mlogloss:0.742293 [29] validation_0-merror:0.3 validation_0-mlogloss:0.739396 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730983 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.727385 [32] validation_0-merror:0.3 validation_0-mlogloss:0.726117 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723074 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721109 [35] validation_0-merror:0.3 validation_0-mlogloss:0.721343 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716978 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712981 [38] validation_0-merror:0.3 validation_0-mlogloss:0.71096 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.709354 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.7069 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.703954 [42] validation_0-merror:0.3 validation_0-mlogloss:0.705823 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.705189 [44] validation_0-merror:0.3 validation_0-mlogloss:0.702233 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.695487 [46] validation_0-merror:0.3 validation_0-mlogloss:0.695733 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.695831 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.694666 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.694624 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.691261 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.688079 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.687987 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.686727 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.686785 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.690016 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.688821 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.691539 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.692624 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.686727 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01882 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985716 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917387 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897914 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882293 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86719 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853065 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842513 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828249 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813641 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804478 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792855 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78119 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775523 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767473 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759157 [19] validation_0-merror:0.35 validation_0-mlogloss:0.74844 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74314 [21] validation_0-merror:0.35 validation_0-mlogloss:0.739784 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731414 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725843 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723066 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716009 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712116 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.712035 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706803 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707102 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707301 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704797 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.704727 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698572 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.693118 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694968 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.692575 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.690261 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.688614 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690839 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690339 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.692581 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.689903 [43] validation_0-merror:0.3 validation_0-mlogloss:0.69099 Stopping. Best iteration: [38] validation_0-merror:0.316667 validation_0-mlogloss:0.688614 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987693 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962718 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937965 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921826 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904217 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891091 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874965 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848994 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839101 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829631 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819943 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80767 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798418 [16] validation_0-merror:0.4 validation_0-mlogloss:0.794578 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787632 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780513 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773665 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767557 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762991 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759655 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755734 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753249 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.747941 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.744446 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.738096 [28] validation_0-merror:0.35 validation_0-mlogloss:0.730976 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.729905 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.728785 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726812 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726675 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722664 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720961 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.720269 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721902 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719256 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718876 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.72058 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.720081 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.718518 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717811 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718076 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.720124 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.719222 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.721557 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.720062 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717811 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995513 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97594 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947806 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928278 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919282 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897538 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889656 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866785 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859452 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849925 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.830366 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811189 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800721 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788132 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783831 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78267 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777406 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770662 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764135 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758256 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757225 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75631 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754438 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751267 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750464 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7483 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742434 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73947 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733606 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733267 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732009 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727557 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725039 [41] validation_0-merror:0.3 validation_0-mlogloss:0.723374 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720233 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718613 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.715689 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.713741 [46] validation_0-merror:0.3 validation_0-mlogloss:0.71158 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711575 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710329 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.70856 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708787 [51] validation_0-merror:0.3 validation_0-mlogloss:0.708038 [52] validation_0-merror:0.3 validation_0-mlogloss:0.705961 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.705036 [54] validation_0-merror:0.3 validation_0-mlogloss:0.703104 [55] validation_0-merror:0.3 validation_0-mlogloss:0.702572 [56] validation_0-merror:0.3 validation_0-mlogloss:0.70142 [57] validation_0-merror:0.3 validation_0-mlogloss:0.700923 [58] validation_0-merror:0.3 validation_0-mlogloss:0.700796 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.699276 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.698186 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.69865 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.698917 [63] validation_0-merror:0.3 validation_0-mlogloss:0.702568 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.699771 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.701155 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.698186 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01918 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983916 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957638 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932588 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913455 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.89567 [7] validation_0-merror:0.4 validation_0-mlogloss:0.88 [8] validation_0-merror:0.4 validation_0-mlogloss:0.864651 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.8478 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83477 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822754 [12] validation_0-merror:0.35 validation_0-mlogloss:0.812481 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803204 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79845 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786134 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772587 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765437 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755761 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748489 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738755 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732356 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.727394 [23] validation_0-merror:0.3 validation_0-mlogloss:0.715879 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.706057 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.699689 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.698781 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.69108 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.688379 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.686466 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.683843 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.682696 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680119 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.682588 [34] validation_0-merror:0.3 validation_0-mlogloss:0.68508 [35] validation_0-merror:0.3 validation_0-mlogloss:0.688352 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.689475 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687589 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680119 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03271 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00122 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.969375 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.947148 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.92627 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.908422 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.89273 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.875141 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.864244 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.851842 [11] validation_0-merror:0.4 validation_0-mlogloss:0.838699 [12] validation_0-merror:0.4 validation_0-mlogloss:0.833676 [13] validation_0-merror:0.4 validation_0-mlogloss:0.824658 [14] validation_0-merror:0.4 validation_0-mlogloss:0.812285 [15] validation_0-merror:0.4 validation_0-mlogloss:0.806687 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79742 [17] validation_0-merror:0.4 validation_0-mlogloss:0.791277 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.78641 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.779511 [20] validation_0-merror:0.4 validation_0-mlogloss:0.774884 [21] validation_0-merror:0.4 validation_0-mlogloss:0.767139 [22] validation_0-merror:0.4 validation_0-mlogloss:0.764609 [23] validation_0-merror:0.4 validation_0-mlogloss:0.759753 [24] validation_0-merror:0.4 validation_0-mlogloss:0.756571 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756126 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.746434 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742908 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.737979 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.730289 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.730386 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.731493 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.727189 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7243 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.725205 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.729168 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.728847 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.726118 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.733854 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7243 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06181 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03349 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00053 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973982 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947938 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929544 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908451 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891962 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874415 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.860422 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84885 [11] validation_0-merror:0.35 validation_0-mlogloss:0.836897 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819597 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.812087 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804826 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.793042 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.786481 [17] validation_0-merror:0.35 validation_0-mlogloss:0.777146 [18] validation_0-merror:0.35 validation_0-mlogloss:0.77663 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769367 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768512 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768299 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767299 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.763445 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760361 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762161 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.754175 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.751898 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.743294 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.738007 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737945 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73357 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732382 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.73007 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728088 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.725661 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725052 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.723296 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719696 [39] validation_0-merror:0.35 validation_0-mlogloss:0.714662 [40] validation_0-merror:0.35 validation_0-mlogloss:0.713177 [41] validation_0-merror:0.35 validation_0-mlogloss:0.707392 [42] validation_0-merror:0.35 validation_0-mlogloss:0.711376 [43] validation_0-merror:0.35 validation_0-mlogloss:0.706953 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.706103 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698621 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.699813 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.70084 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.700307 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.698874 [50] validation_0-merror:0.35 validation_0-mlogloss:0.702887 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698621 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02384 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991841 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966058 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948646 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.930454 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911384 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894372 [8] validation_0-merror:0.4 validation_0-mlogloss:0.879628 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863447 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850231 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833465 [12] validation_0-merror:0.35 validation_0-mlogloss:0.818049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809735 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791885 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782573 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775919 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765827 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75942 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.752275 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745734 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735494 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729596 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72097 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.721952 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.719517 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.717869 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713293 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.712394 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704726 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704776 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701103 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697818 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.695931 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692475 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691976 [37] validation_0-merror:0.3 validation_0-mlogloss:0.689609 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687861 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686641 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686175 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681739 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678569 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676904 [44] validation_0-merror:0.3 validation_0-mlogloss:0.677062 [45] validation_0-merror:0.3 validation_0-mlogloss:0.674306 [46] validation_0-merror:0.3 validation_0-mlogloss:0.675424 [47] validation_0-merror:0.3 validation_0-mlogloss:0.673205 [48] validation_0-merror:0.3 validation_0-mlogloss:0.676025 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674529 [50] validation_0-merror:0.3 validation_0-mlogloss:0.670995 [51] validation_0-merror:0.3 validation_0-mlogloss:0.673993 [52] validation_0-merror:0.3 validation_0-mlogloss:0.672754 [53] validation_0-merror:0.3 validation_0-mlogloss:0.671872 [54] validation_0-merror:0.3 validation_0-mlogloss:0.668931 [55] validation_0-merror:0.3 validation_0-mlogloss:0.669996 [56] validation_0-merror:0.3 validation_0-mlogloss:0.670074 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667602 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.665014 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.661936 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.662802 [61] validation_0-merror:0.3 validation_0-mlogloss:0.663812 [62] validation_0-merror:0.3 validation_0-mlogloss:0.664027 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.663969 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.662139 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.661936 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02386 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991762 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960148 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939114 [5] validation_0-merror:0.4 validation_0-mlogloss:0.920154 [6] validation_0-merror:0.4 validation_0-mlogloss:0.903413 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891289 [8] validation_0-merror:0.4 validation_0-mlogloss:0.880498 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.4 validation_0-mlogloss:0.854143 [11] validation_0-merror:0.4 validation_0-mlogloss:0.843475 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.833902 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819833 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811991 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802404 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.792956 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786377 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.781677 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774232 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766682 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761667 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760932 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755994 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75255 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751689 [26] validation_0-merror:0.35 validation_0-mlogloss:0.743397 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739143 [28] validation_0-merror:0.35 validation_0-mlogloss:0.733897 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.732027 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.731326 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731129 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728113 [33] validation_0-merror:0.35 validation_0-mlogloss:0.725957 [34] validation_0-merror:0.35 validation_0-mlogloss:0.724423 [35] validation_0-merror:0.35 validation_0-mlogloss:0.725329 [36] validation_0-merror:0.35 validation_0-mlogloss:0.723413 [37] validation_0-merror:0.35 validation_0-mlogloss:0.725029 [38] validation_0-merror:0.35 validation_0-mlogloss:0.727655 [39] validation_0-merror:0.35 validation_0-mlogloss:0.724642 [40] validation_0-merror:0.35 validation_0-mlogloss:0.724966 [41] validation_0-merror:0.35 validation_0-mlogloss:0.727046 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.723413 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957182 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.941243 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920945 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.906452 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.892301 [9] validation_0-merror:0.35 validation_0-mlogloss:0.884982 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.88074 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.874916 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.860527 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.848004 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.831711 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.824476 [16] validation_0-merror:0.35 validation_0-mlogloss:0.817825 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.811964 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.804509 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.792567 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788667 [21] validation_0-merror:0.3 validation_0-mlogloss:0.783796 [22] validation_0-merror:0.3 validation_0-mlogloss:0.779429 [23] validation_0-merror:0.3 validation_0-mlogloss:0.77337 [24] validation_0-merror:0.3 validation_0-mlogloss:0.769741 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.76482 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.758749 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754054 [28] validation_0-merror:0.3 validation_0-mlogloss:0.751737 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.748274 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.748177 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.745933 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.743076 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.739873 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.735927 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.735466 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.731097 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.727604 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.725621 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.727096 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.724581 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.722271 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.724678 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.724944 [44] validation_0-merror:0.3 validation_0-mlogloss:0.727438 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.725275 [46] validation_0-merror:0.3 validation_0-mlogloss:0.725526 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.722271 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05912 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02403 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995271 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968259 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.948169 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.92899 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911982 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898171 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.886244 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.873287 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859437 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.850398 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834789 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803935 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796539 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78672 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764554 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.758892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747287 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.743077 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737306 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738235 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.738322 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738864 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.736611 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735418 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.736946 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.734883 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734755 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732684 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733328 [37] validation_0-merror:0.3 validation_0-mlogloss:0.728388 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727032 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.725162 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.720886 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.722419 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.723962 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.723301 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.722193 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.717647 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.716802 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.717338 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.715005 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.714001 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.71422 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.713544 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.71236 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.714665 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.711124 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.709325 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.707814 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.708891 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.7063 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.704152 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.705034 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.704932 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.704644 [63] validation_0-merror:0.316667 validation_0-mlogloss:0.703138 [64] validation_0-merror:0.316667 validation_0-mlogloss:0.703515 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.701424 [66] validation_0-merror:0.3 validation_0-mlogloss:0.702709 [67] validation_0-merror:0.3 validation_0-mlogloss:0.703968 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.702957 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.702037 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.702827 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.704151 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.70294 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.702825 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.703698 Stopping. Best iteration: [70] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02212 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992362 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969757 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945534 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927752 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910943 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895952 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.880061 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866914 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853781 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843783 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832132 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.824767 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814258 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805015 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79889 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792041 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784245 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777697 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772632 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769954 [22] validation_0-merror:0.35 validation_0-mlogloss:0.767216 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75957 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75572 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751066 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743838 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744754 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739833 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.738859 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.737176 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.734524 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.731934 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.729193 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.726383 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.725766 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.724963 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.723411 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.720771 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.719837 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.720489 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.71842 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.718107 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718316 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.720904 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.71828 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.717628 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.720217 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.718428 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.719728 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.718335 [51] validation_0-merror:0.35 validation_0-mlogloss:0.721025 Stopping. Best iteration: [46] validation_0-merror:0.333333 validation_0-mlogloss:0.717628 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948229 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931659 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916934 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900914 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890337 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882763 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.86947 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864794 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.854751 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845178 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.836971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829775 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822792 [17] validation_0-merror:0.35 validation_0-mlogloss:0.820153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.813469 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.807123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.802133 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798147 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793569 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783745 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.779265 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774073 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767268 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.763512 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.762569 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.755765 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.752968 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750914 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744984 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.742919 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739444 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737852 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733593 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.733543 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.727952 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.72735 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724829 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.725639 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.720083 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.721036 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.717553 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.715777 [47] validation_0-merror:0.3 validation_0-mlogloss:0.714169 [48] validation_0-merror:0.3 validation_0-mlogloss:0.715731 [49] validation_0-merror:0.3 validation_0-mlogloss:0.714777 [50] validation_0-merror:0.3 validation_0-mlogloss:0.710583 [51] validation_0-merror:0.3 validation_0-mlogloss:0.711203 [52] validation_0-merror:0.3 validation_0-mlogloss:0.709888 [53] validation_0-merror:0.3 validation_0-mlogloss:0.707284 [54] validation_0-merror:0.3 validation_0-mlogloss:0.704463 [55] validation_0-merror:0.3 validation_0-mlogloss:0.70532 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.702428 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.702061 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.701618 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.699405 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.701763 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.700346 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.69929 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.700371 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.698969 [65] validation_0-merror:0.25 validation_0-mlogloss:0.698095 [66] validation_0-merror:0.25 validation_0-mlogloss:0.697519 [67] validation_0-merror:0.25 validation_0-mlogloss:0.700455 [68] validation_0-merror:0.25 validation_0-mlogloss:0.699352 [69] validation_0-merror:0.25 validation_0-mlogloss:0.700897 [70] validation_0-merror:0.25 validation_0-mlogloss:0.701325 [71] validation_0-merror:0.25 validation_0-mlogloss:0.699367 Stopping. Best iteration: [66] validation_0-merror:0.25 validation_0-mlogloss:0.697519 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02058 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.960218 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934936 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914933 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89744 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881877 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865274 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848337 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835108 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824275 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813079 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.802896 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798424 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784897 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77583 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767203 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756578 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74926 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.739955 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737452 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733114 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724698 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.715152 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.709304 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.707742 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.700456 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696056 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.692224 [30] validation_0-merror:0.25 validation_0-mlogloss:0.686602 [31] validation_0-merror:0.25 validation_0-mlogloss:0.684355 [32] validation_0-merror:0.25 validation_0-mlogloss:0.682688 [33] validation_0-merror:0.25 validation_0-mlogloss:0.682438 [34] validation_0-merror:0.25 validation_0-mlogloss:0.682169 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.684088 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686488 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686313 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.685294 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682402 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.682169 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.032 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00396 [3] validation_0-merror:0.4 validation_0-mlogloss:0.971663 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.950777 [5] validation_0-merror:0.4 validation_0-mlogloss:0.931781 [6] validation_0-merror:0.4 validation_0-mlogloss:0.912588 [7] validation_0-merror:0.4 validation_0-mlogloss:0.897801 [8] validation_0-merror:0.4 validation_0-mlogloss:0.877688 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867957 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.856567 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.842112 [12] validation_0-merror:0.4 validation_0-mlogloss:0.837209 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825523 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.812865 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807903 [16] validation_0-merror:0.4 validation_0-mlogloss:0.798535 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789108 [18] validation_0-merror:0.4 validation_0-mlogloss:0.784033 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776589 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772707 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.766863 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.765618 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762494 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758729 [25] validation_0-merror:0.4 validation_0-mlogloss:0.759282 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.748924 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.745814 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.7405 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.731025 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.732402 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.73125 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.725335 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.721926 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.721868 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.725607 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.725183 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.725775 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.732381 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.733271 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.721868 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03297 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00295 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975749 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951455 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930104 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910916 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894342 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876183 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859495 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851135 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839725 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823927 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816721 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.809573 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797911 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.792 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78287 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784334 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777288 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.77646 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772308 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768881 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764321 [24] validation_0-merror:0.35 validation_0-mlogloss:0.762139 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758896 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750227 [27] validation_0-merror:0.35 validation_0-mlogloss:0.746554 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.738592 [29] validation_0-merror:0.35 validation_0-mlogloss:0.73335 [30] validation_0-merror:0.35 validation_0-mlogloss:0.729971 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.725771 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724899 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724351 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72669 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.726326 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725906 [37] validation_0-merror:0.35 validation_0-mlogloss:0.724079 [38] validation_0-merror:0.35 validation_0-mlogloss:0.724774 [39] validation_0-merror:0.35 validation_0-mlogloss:0.721276 [40] validation_0-merror:0.35 validation_0-mlogloss:0.718166 [41] validation_0-merror:0.35 validation_0-mlogloss:0.712674 [42] validation_0-merror:0.35 validation_0-mlogloss:0.712968 [43] validation_0-merror:0.35 validation_0-mlogloss:0.710647 [44] validation_0-merror:0.35 validation_0-mlogloss:0.709618 [45] validation_0-merror:0.35 validation_0-mlogloss:0.706593 [46] validation_0-merror:0.35 validation_0-mlogloss:0.708096 [47] validation_0-merror:0.35 validation_0-mlogloss:0.709296 [48] validation_0-merror:0.35 validation_0-mlogloss:0.707909 [49] validation_0-merror:0.35 validation_0-mlogloss:0.706444 [50] validation_0-merror:0.35 validation_0-mlogloss:0.705909 [51] validation_0-merror:0.35 validation_0-mlogloss:0.706734 [52] validation_0-merror:0.35 validation_0-mlogloss:0.709586 [53] validation_0-merror:0.35 validation_0-mlogloss:0.708439 [54] validation_0-merror:0.35 validation_0-mlogloss:0.710577 [55] validation_0-merror:0.366667 validation_0-mlogloss:0.711197 Stopping. Best iteration: [50] validation_0-merror:0.35 validation_0-mlogloss:0.705909 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939889 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921416 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902364 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882844 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869826 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851612 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84095 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824638 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810155 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803558 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796079 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783966 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775313 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770624 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760312 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753601 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746691 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740721 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731753 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727031 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722763 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717901 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716503 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712978 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708682 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707652 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70304 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703155 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700858 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698517 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696695 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.693011 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694965 [37] validation_0-merror:0.3 validation_0-mlogloss:0.691559 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688484 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686365 [40] validation_0-merror:0.3 validation_0-mlogloss:0.688077 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683913 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681245 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680627 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680153 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.678043 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.677352 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677142 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.680327 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67928 [50] validation_0-merror:0.3 validation_0-mlogloss:0.679945 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.682693 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.680406 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.677142 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942405 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922801 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907278 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894255 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878844 [9] validation_0-merror:0.4 validation_0-mlogloss:0.864468 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853002 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842457 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832935 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818956 [14] validation_0-merror:0.4 validation_0-mlogloss:0.8105 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802403 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791081 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784871 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779872 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772512 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76492 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75989 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761948 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.756476 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752642 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752155 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746077 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.741283 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736999 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.735018 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733719 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731348 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728067 [33] validation_0-merror:0.35 validation_0-mlogloss:0.727389 [34] validation_0-merror:0.35 validation_0-mlogloss:0.72662 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727973 [36] validation_0-merror:0.35 validation_0-mlogloss:0.725132 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726955 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730212 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727717 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.727253 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.72806 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.725132 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.9402 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918846 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904401 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891229 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88354 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.881678 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.876227 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.862392 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.852944 [14] validation_0-merror:0.35 validation_0-mlogloss:0.839514 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.833423 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.82648 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.820173 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.811169 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.803888 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.798914 [21] validation_0-merror:0.3 validation_0-mlogloss:0.793999 [22] validation_0-merror:0.3 validation_0-mlogloss:0.791497 [23] validation_0-merror:0.3 validation_0-mlogloss:0.786012 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781756 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.777373 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.771463 [27] validation_0-merror:0.3 validation_0-mlogloss:0.770185 [28] validation_0-merror:0.3 validation_0-mlogloss:0.764725 [29] validation_0-merror:0.3 validation_0-mlogloss:0.762891 [30] validation_0-merror:0.3 validation_0-mlogloss:0.762861 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.760561 [32] validation_0-merror:0.3 validation_0-mlogloss:0.759069 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.753903 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.751066 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.751533 [36] validation_0-merror:0.3 validation_0-mlogloss:0.75224 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748848 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.746921 [39] validation_0-merror:0.3 validation_0-mlogloss:0.744204 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.741021 [41] validation_0-merror:0.3 validation_0-mlogloss:0.73862 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.737247 [43] validation_0-merror:0.3 validation_0-mlogloss:0.735939 [44] validation_0-merror:0.3 validation_0-mlogloss:0.734925 [45] validation_0-merror:0.3 validation_0-mlogloss:0.732965 [46] validation_0-merror:0.3 validation_0-mlogloss:0.73161 [47] validation_0-merror:0.3 validation_0-mlogloss:0.729692 [48] validation_0-merror:0.3 validation_0-mlogloss:0.728739 [49] validation_0-merror:0.3 validation_0-mlogloss:0.727802 [50] validation_0-merror:0.3 validation_0-mlogloss:0.727047 [51] validation_0-merror:0.3 validation_0-mlogloss:0.727135 [52] validation_0-merror:0.3 validation_0-mlogloss:0.729245 [53] validation_0-merror:0.3 validation_0-mlogloss:0.727746 [54] validation_0-merror:0.3 validation_0-mlogloss:0.73044 [55] validation_0-merror:0.3 validation_0-mlogloss:0.731832 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.727047 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02634 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99714 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971102 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.951412 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932375 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.915287 [7] validation_0-merror:0.4 validation_0-mlogloss:0.901194 [8] validation_0-merror:0.4 validation_0-mlogloss:0.887454 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.875624 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.865081 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854588 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.845945 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830317 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816882 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812255 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799933 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789782 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775686 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770174 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767811 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764588 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.763545 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760117 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.75741 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753893 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.753182 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750727 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751225 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.749876 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744214 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744501 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.742093 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.737774 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734351 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.734579 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.732065 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.731541 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.729005 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727395 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.727653 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.727571 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.727184 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.726734 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.72283 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.722194 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.718953 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.716846 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.714221 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.712129 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.714377 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.710455 [53] validation_0-merror:0.3 validation_0-mlogloss:0.707958 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.707786 [55] validation_0-merror:0.3 validation_0-mlogloss:0.706336 [56] validation_0-merror:0.3 validation_0-mlogloss:0.705858 [57] validation_0-merror:0.3 validation_0-mlogloss:0.704507 [58] validation_0-merror:0.3 validation_0-mlogloss:0.702848 [59] validation_0-merror:0.3 validation_0-mlogloss:0.703055 [60] validation_0-merror:0.3 validation_0-mlogloss:0.704152 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.702605 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.700554 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.700595 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.699426 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.699844 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.69911 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.699365 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.697517 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.699001 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.699166 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.698745 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.698278 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.698352 Stopping. Best iteration: [68] validation_0-merror:0.283333 validation_0-mlogloss:0.697517 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01983 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966793 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941737 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923955 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908105 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891338 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877306 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863576 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851224 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840962 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831201 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823243 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814924 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805401 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800058 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794395 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785535 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778818 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772666 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769354 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.762752 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756865 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754129 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.750084 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745664 [27] validation_0-merror:0.35 validation_0-mlogloss:0.741236 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737528 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733634 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734571 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73174 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726697 [33] validation_0-merror:0.35 validation_0-mlogloss:0.725416 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726521 [35] validation_0-merror:0.35 validation_0-mlogloss:0.723888 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722581 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.718753 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716639 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716552 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.716198 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.716936 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717268 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.716627 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.719041 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.72019 Stopping. Best iteration: [40] validation_0-merror:0.333333 validation_0-mlogloss:0.716198 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948388 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930354 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915711 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900306 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889916 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881443 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.871604 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866551 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.856969 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.852287 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.842581 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.838784 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.833819 [17] validation_0-merror:0.35 validation_0-mlogloss:0.828841 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.828159 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.822714 [20] validation_0-merror:0.35 validation_0-mlogloss:0.818137 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.811025 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.808905 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.79845 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.794341 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.791341 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.785727 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.782023 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.777209 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.774834 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771052 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770767 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.765398 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.764954 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.758861 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.757874 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.756543 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.753035 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.752092 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.747944 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.746122 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.743951 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.742515 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.738246 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.73776 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.735201 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.734975 [47] validation_0-merror:0.3 validation_0-mlogloss:0.732451 [48] validation_0-merror:0.3 validation_0-mlogloss:0.731414 [49] validation_0-merror:0.3 validation_0-mlogloss:0.728614 [50] validation_0-merror:0.3 validation_0-mlogloss:0.729148 [51] validation_0-merror:0.3 validation_0-mlogloss:0.731797 [52] validation_0-merror:0.3 validation_0-mlogloss:0.729463 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.726824 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.725271 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.725845 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.727192 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.726307 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.729299 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.728647 Stopping. Best iteration: [54] validation_0-merror:0.283333 validation_0-mlogloss:0.725271 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0079 [2] validation_0-merror:0.35 validation_0-mlogloss:0.976343 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948995 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.922863 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898189 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879522 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86261 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841158 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.824472 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815056 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805752 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79852 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791254 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784913 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774933 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765066 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758383 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.749039 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739638 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.733013 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.732621 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.729823 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.724021 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.714041 [25] validation_0-merror:0.216667 validation_0-mlogloss:0.709374 [26] validation_0-merror:0.25 validation_0-mlogloss:0.710414 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.70306 [28] validation_0-merror:0.25 validation_0-mlogloss:0.704574 [29] validation_0-merror:0.25 validation_0-mlogloss:0.705335 [30] validation_0-merror:0.25 validation_0-mlogloss:0.704756 [31] validation_0-merror:0.25 validation_0-mlogloss:0.705945 [32] validation_0-merror:0.3 validation_0-mlogloss:0.71217 Stopping. Best iteration: [27] validation_0-merror:0.233333 validation_0-mlogloss:0.70306 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01607 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.977826 [3] validation_0-merror:0.4 validation_0-mlogloss:0.949043 [4] validation_0-merror:0.4 validation_0-mlogloss:0.927211 [5] validation_0-merror:0.4 validation_0-mlogloss:0.906866 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.889495 [7] validation_0-merror:0.4 validation_0-mlogloss:0.868663 [8] validation_0-merror:0.4 validation_0-mlogloss:0.854462 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.848989 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.842326 [11] validation_0-merror:0.4 validation_0-mlogloss:0.834921 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.835788 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.82625 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811853 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799471 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.791284 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792642 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.784463 [19] validation_0-merror:0.35 validation_0-mlogloss:0.777047 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774824 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769129 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770678 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765158 [24] validation_0-merror:0.35 validation_0-mlogloss:0.763258 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767203 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76662 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.765331 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.771178 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.771077 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.763258 [0] validation_0-merror:0.45 validation_0-mlogloss:1.04944 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01407 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985336 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951558 [4] validation_0-merror:0.35 validation_0-mlogloss:0.921256 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.899213 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880629 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863802 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850578 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.832723 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831099 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822394 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804325 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803243 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790728 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.773164 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768205 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.752743 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.756852 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.754488 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.75435 [21] validation_0-merror:0.3 validation_0-mlogloss:0.758214 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755789 Stopping. Best iteration: [17] validation_0-merror:0.283333 validation_0-mlogloss:0.752743 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04643 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00185 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.962033 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.938542 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.913684 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.888646 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.864881 [7] validation_0-merror:0.3 validation_0-mlogloss:0.844438 [8] validation_0-merror:0.3 validation_0-mlogloss:0.826313 [9] validation_0-merror:0.3 validation_0-mlogloss:0.812499 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.800266 [11] validation_0-merror:0.3 validation_0-mlogloss:0.779329 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.769075 [13] validation_0-merror:0.3 validation_0-mlogloss:0.761659 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.752478 [15] validation_0-merror:0.3 validation_0-mlogloss:0.748496 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.73941 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.733817 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.723461 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.719301 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.712308 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.70199 [22] validation_0-merror:0.25 validation_0-mlogloss:0.696466 [23] validation_0-merror:0.25 validation_0-mlogloss:0.690199 [24] validation_0-merror:0.216667 validation_0-mlogloss:0.683993 [25] validation_0-merror:0.216667 validation_0-mlogloss:0.680168 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.678485 [27] validation_0-merror:0.216667 validation_0-mlogloss:0.675765 [28] validation_0-merror:0.216667 validation_0-mlogloss:0.675947 [29] validation_0-merror:0.216667 validation_0-mlogloss:0.674592 [30] validation_0-merror:0.216667 validation_0-mlogloss:0.669945 [31] validation_0-merror:0.216667 validation_0-mlogloss:0.675398 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.675372 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.674574 [34] validation_0-merror:0.216667 validation_0-mlogloss:0.67415 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.671335 Stopping. Best iteration: [30] validation_0-merror:0.216667 validation_0-mlogloss:0.669945 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05168 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01211 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.97652 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.937096 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.910622 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894758 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88196 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866764 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85368 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845559 [10] validation_0-merror:0.4 validation_0-mlogloss:0.838027 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.830836 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827364 [13] validation_0-merror:0.35 validation_0-mlogloss:0.822272 [14] validation_0-merror:0.35 validation_0-mlogloss:0.810853 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.807304 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.799071 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.798755 [18] validation_0-merror:0.35 validation_0-mlogloss:0.794955 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.791768 [20] validation_0-merror:0.35 validation_0-mlogloss:0.789443 [21] validation_0-merror:0.35 validation_0-mlogloss:0.782752 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.786415 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.784062 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.782231 [25] validation_0-merror:0.35 validation_0-mlogloss:0.781194 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.782367 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.77614 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.778156 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.7805 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.782424 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.780903 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783333 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.77614 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05016 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00537 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.974595 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.940438 [4] validation_0-merror:0.3 validation_0-mlogloss:0.921505 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90734 [6] validation_0-merror:0.3 validation_0-mlogloss:0.887075 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868625 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.851174 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.847826 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838108 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835901 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82963 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822132 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.819806 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.810046 [16] validation_0-merror:0.3 validation_0-mlogloss:0.804801 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.793672 [18] validation_0-merror:0.3 validation_0-mlogloss:0.794764 [19] validation_0-merror:0.3 validation_0-mlogloss:0.78047 [20] validation_0-merror:0.3 validation_0-mlogloss:0.77571 [21] validation_0-merror:0.3 validation_0-mlogloss:0.77591 [22] validation_0-merror:0.3 validation_0-mlogloss:0.772706 [23] validation_0-merror:0.3 validation_0-mlogloss:0.771931 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.766811 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.763816 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.763223 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.76084 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.762914 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.766195 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.771783 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.772424 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.76971 Stopping. Best iteration: [27] validation_0-merror:0.283333 validation_0-mlogloss:0.76084 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04308 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:0.999546 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.963483 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.933286 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.90915 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.867652 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.850275 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.832807 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.818339 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.803468 [11] validation_0-merror:0.3 validation_0-mlogloss:0.793479 [12] validation_0-merror:0.3 validation_0-mlogloss:0.779861 [13] validation_0-merror:0.3 validation_0-mlogloss:0.772008 [14] validation_0-merror:0.3 validation_0-mlogloss:0.762246 [15] validation_0-merror:0.3 validation_0-mlogloss:0.748823 [16] validation_0-merror:0.3 validation_0-mlogloss:0.745818 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7422 [18] validation_0-merror:0.3 validation_0-mlogloss:0.734767 [19] validation_0-merror:0.3 validation_0-mlogloss:0.73013 [20] validation_0-merror:0.3 validation_0-mlogloss:0.727711 [21] validation_0-merror:0.3 validation_0-mlogloss:0.725394 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722274 [23] validation_0-merror:0.3 validation_0-mlogloss:0.720862 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718003 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71326 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709829 [27] validation_0-merror:0.3 validation_0-mlogloss:0.70512 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703765 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.702145 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.698181 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.695259 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693158 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688956 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.688122 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.688229 [36] validation_0-merror:0.25 validation_0-mlogloss:0.687716 [37] validation_0-merror:0.25 validation_0-mlogloss:0.687053 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687359 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.685219 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684759 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.683098 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.683245 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.683921 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.684433 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.682993 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.682506 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.685608 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.685647 [49] validation_0-merror:0.25 validation_0-mlogloss:0.689134 [50] validation_0-merror:0.25 validation_0-mlogloss:0.689826 [51] validation_0-merror:0.25 validation_0-mlogloss:0.690766 Stopping. Best iteration: [46] validation_0-merror:0.266667 validation_0-mlogloss:0.682506 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04824 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00628 [2] validation_0-merror:0.35 validation_0-mlogloss:0.968572 [3] validation_0-merror:0.35 validation_0-mlogloss:0.940618 [4] validation_0-merror:0.35 validation_0-mlogloss:0.914496 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894861 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880546 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870973 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864106 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853302 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.848478 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842229 [12] validation_0-merror:0.35 validation_0-mlogloss:0.831961 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.821378 [14] validation_0-merror:0.35 validation_0-mlogloss:0.819077 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.811658 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.810679 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803465 [18] validation_0-merror:0.35 validation_0-mlogloss:0.806692 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.803824 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.805695 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.807707 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.81197 Stopping. Best iteration: [17] validation_0-merror:0.35 validation_0-mlogloss:0.803465 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00947 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97369 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.94641 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.920585 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900215 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.878454 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.863883 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.859085 [9] validation_0-merror:0.35 validation_0-mlogloss:0.854614 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843227 [11] validation_0-merror:0.35 validation_0-mlogloss:0.835938 [12] validation_0-merror:0.35 validation_0-mlogloss:0.832687 [13] validation_0-merror:0.35 validation_0-mlogloss:0.829285 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82787 [15] validation_0-merror:0.35 validation_0-mlogloss:0.826795 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.824731 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.823478 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.823043 [19] validation_0-merror:0.35 validation_0-mlogloss:0.824463 [20] validation_0-merror:0.35 validation_0-mlogloss:0.827683 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.828506 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.829388 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.830381 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.823043 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00533 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977055 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951455 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.924702 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.902478 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881353 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868201 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848106 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.82987 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820606 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813446 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809828 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803029 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79766 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789401 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78636 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779409 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771539 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764876 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753989 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750214 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745482 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740499 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733903 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725859 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724561 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71935 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714863 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714785 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714096 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71341 [32] validation_0-merror:0.3 validation_0-mlogloss:0.716675 [33] validation_0-merror:0.3 validation_0-mlogloss:0.715051 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714723 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716887 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.719015 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.71341 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02079 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985032 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951403 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928289 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.90829 [6] validation_0-merror:0.4 validation_0-mlogloss:0.887358 [7] validation_0-merror:0.4 validation_0-mlogloss:0.867527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849369 [9] validation_0-merror:0.4 validation_0-mlogloss:0.841837 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83237 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.817797 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.814736 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.809732 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80163 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.791 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786905 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784206 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777769 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769552 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767994 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762334 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763088 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759605 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758334 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756705 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753977 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759455 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756974 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752041 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749608 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752924 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.754201 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.758811 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.766127 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.769322 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749608 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01559 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984286 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953082 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905018 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888363 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874829 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859119 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.845369 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842496 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832226 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817574 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815053 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798185 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784688 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776016 [17] validation_0-merror:0.3 validation_0-mlogloss:0.762266 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764303 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764301 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765325 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760877 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754691 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752959 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755488 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751728 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748841 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743193 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737646 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73759 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735562 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736442 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.737539 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735992 [34] validation_0-merror:0.3 validation_0-mlogloss:0.737845 [35] validation_0-merror:0.3 validation_0-mlogloss:0.738596 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735562 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04913 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00793 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.968598 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941317 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.918312 [5] validation_0-merror:0.35 validation_0-mlogloss:0.892521 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.870983 [7] validation_0-merror:0.35 validation_0-mlogloss:0.851314 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.839205 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.823504 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811896 [11] validation_0-merror:0.3 validation_0-mlogloss:0.795379 [12] validation_0-merror:0.3 validation_0-mlogloss:0.782333 [13] validation_0-merror:0.3 validation_0-mlogloss:0.774966 [14] validation_0-merror:0.3 validation_0-mlogloss:0.767687 [15] validation_0-merror:0.3 validation_0-mlogloss:0.758724 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.751901 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.748991 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.740911 [19] validation_0-merror:0.3 validation_0-mlogloss:0.733589 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.722898 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.714363 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.710621 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.706945 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.702327 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.698411 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.695855 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.693076 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.688921 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.690832 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.693821 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.696427 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.695963 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.699041 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.688921 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04904 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977373 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.938858 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.916988 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.901405 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.883632 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.872157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853228 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.839116 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830146 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.818308 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.811334 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808576 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798654 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793676 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.787353 [17] validation_0-merror:0.35 validation_0-mlogloss:0.786878 [18] validation_0-merror:0.35 validation_0-mlogloss:0.780852 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776565 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777214 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.770764 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.772696 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766172 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762334 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763588 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759724 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758831 [28] validation_0-merror:0.35 validation_0-mlogloss:0.759353 [29] validation_0-merror:0.35 validation_0-mlogloss:0.760311 [30] validation_0-merror:0.35 validation_0-mlogloss:0.761818 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.759718 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.761042 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.758831 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05207 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00866 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978707 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940917 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920742 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90221 [6] validation_0-merror:0.3 validation_0-mlogloss:0.880606 [7] validation_0-merror:0.3 validation_0-mlogloss:0.85919 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847619 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843932 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836842 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.833952 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.820545 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814784 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801471 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792111 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787013 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78034 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776696 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769619 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760682 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.759556 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755169 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.754814 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750315 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751999 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.7511 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.751296 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.753397 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751788 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750315 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00446 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97161 [3] validation_0-merror:0.3 validation_0-mlogloss:0.941518 [4] validation_0-merror:0.3 validation_0-mlogloss:0.915368 [5] validation_0-merror:0.3 validation_0-mlogloss:0.894507 [6] validation_0-merror:0.3 validation_0-mlogloss:0.874403 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856174 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.841963 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.82859 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.819738 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809915 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798793 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790599 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786075 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779708 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77108 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763149 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757713 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752085 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750371 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74893 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744928 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.73959 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73689 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738104 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733272 [27] validation_0-merror:0.3 validation_0-mlogloss:0.73169 [28] validation_0-merror:0.3 validation_0-mlogloss:0.732019 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72841 [30] validation_0-merror:0.3 validation_0-mlogloss:0.724235 [31] validation_0-merror:0.3 validation_0-mlogloss:0.723872 [32] validation_0-merror:0.3 validation_0-mlogloss:0.72369 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723346 [34] validation_0-merror:0.3 validation_0-mlogloss:0.722584 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.724235 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.724759 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.724732 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.722968 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.722518 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.723431 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.72227 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.720657 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.717894 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.717487 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.719 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.717053 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.716563 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.714846 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.715307 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.713432 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.7133 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.711685 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.712053 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.710346 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.709815 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.709116 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.710881 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.710759 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.711848 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.711221 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.7104 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.709116 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00592 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.970474 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.942933 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914943 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.889454 [6] validation_0-merror:0.4 validation_0-mlogloss:0.869032 [7] validation_0-merror:0.4 validation_0-mlogloss:0.85828 [8] validation_0-merror:0.4 validation_0-mlogloss:0.843699 [9] validation_0-merror:0.4 validation_0-mlogloss:0.832816 [10] validation_0-merror:0.4 validation_0-mlogloss:0.826777 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824834 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824937 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.812142 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810161 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802281 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.801572 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802564 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.798124 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.793734 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.795904 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.790434 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.787928 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.787749 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.781604 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.784922 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.782809 [27] validation_0-merror:0.35 validation_0-mlogloss:0.788168 [28] validation_0-merror:0.35 validation_0-mlogloss:0.785351 [29] validation_0-merror:0.35 validation_0-mlogloss:0.786781 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.781604 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0061 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.971021 [3] validation_0-merror:0.35 validation_0-mlogloss:0.938877 [4] validation_0-merror:0.35 validation_0-mlogloss:0.916761 [5] validation_0-merror:0.35 validation_0-mlogloss:0.893346 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877876 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862266 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854163 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843501 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830302 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820822 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819418 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814828 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.814016 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806844 [16] validation_0-merror:0.35 validation_0-mlogloss:0.806746 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798883 [18] validation_0-merror:0.3 validation_0-mlogloss:0.796858 [19] validation_0-merror:0.3 validation_0-mlogloss:0.797554 [20] validation_0-merror:0.3 validation_0-mlogloss:0.798675 [21] validation_0-merror:0.3 validation_0-mlogloss:0.797164 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.79914 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.793061 [24] validation_0-merror:0.3 validation_0-mlogloss:0.790339 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.785599 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.783794 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.782893 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.779778 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.78106 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.780889 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.776326 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.780221 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.781013 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.783324 [35] validation_0-merror:0.3 validation_0-mlogloss:0.785747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.788578 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.776326 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0477 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00767 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97788 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.94894 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92736 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905456 [6] validation_0-merror:0.3 validation_0-mlogloss:0.888648 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869567 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853957 [9] validation_0-merror:0.3 validation_0-mlogloss:0.83905 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828174 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815882 [12] validation_0-merror:0.35 validation_0-mlogloss:0.807919 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798356 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.790049 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.783085 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772186 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767702 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761821 [19] validation_0-merror:0.35 validation_0-mlogloss:0.755292 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746467 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741781 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738704 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730971 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722342 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716763 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717398 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712418 [28] validation_0-merror:0.3 validation_0-mlogloss:0.706724 [29] validation_0-merror:0.3 validation_0-mlogloss:0.70861 [30] validation_0-merror:0.3 validation_0-mlogloss:0.708415 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708944 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709026 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.708599 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.706724 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985114 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950777 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924837 [5] validation_0-merror:0.4 validation_0-mlogloss:0.903125 [6] validation_0-merror:0.4 validation_0-mlogloss:0.884734 [7] validation_0-merror:0.4 validation_0-mlogloss:0.870871 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.85313 [9] validation_0-merror:0.4 validation_0-mlogloss:0.846339 [10] validation_0-merror:0.4 validation_0-mlogloss:0.838245 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829848 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827288 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818251 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813442 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801432 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795409 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792622 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785157 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778346 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778028 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.766986 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76622 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761357 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761601 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.760792 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756007 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.754953 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.747209 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746443 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.748858 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.750773 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.748638 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.749286 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.75733 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746443 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993799 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963143 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942184 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921595 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.899996 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88625 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.86984 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.856225 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.849625 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835171 [12] validation_0-merror:0.3 validation_0-mlogloss:0.821823 [13] validation_0-merror:0.3 validation_0-mlogloss:0.815632 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799617 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784585 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775709 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768276 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766665 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.761299 [20] validation_0-merror:0.3 validation_0-mlogloss:0.764806 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765158 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76288 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.759868 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.760116 [25] validation_0-merror:0.3 validation_0-mlogloss:0.759603 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.752842 [27] validation_0-merror:0.3 validation_0-mlogloss:0.745984 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737945 [29] validation_0-merror:0.3 validation_0-mlogloss:0.737324 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.734782 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734007 [32] validation_0-merror:0.3 validation_0-mlogloss:0.736377 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.739078 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.736676 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736674 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.736351 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.734007 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04836 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00839 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.973272 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.946444 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922208 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899879 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.878952 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.860389 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.843937 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.826082 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816799 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.79865 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.787499 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.781522 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.775837 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766702 [16] validation_0-merror:0.3 validation_0-mlogloss:0.757441 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752897 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.745506 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743479 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735795 [21] validation_0-merror:0.3 validation_0-mlogloss:0.729159 [22] validation_0-merror:0.3 validation_0-mlogloss:0.722625 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.719584 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.715976 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.711152 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708302 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.703533 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.700555 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70296 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.701813 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701181 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700682 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700473 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701745 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701054 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.70183 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.697954 [38] validation_0-merror:0.25 validation_0-mlogloss:0.695324 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.694291 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.695462 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.692009 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.689292 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.691375 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.693299 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.693423 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.698254 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.701987 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.689292 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04894 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01206 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.937155 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918069 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.90493 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.887893 [7] validation_0-merror:0.4 validation_0-mlogloss:0.873931 [8] validation_0-merror:0.4 validation_0-mlogloss:0.857443 [9] validation_0-merror:0.4 validation_0-mlogloss:0.845189 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83188 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.82453 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.819231 [13] validation_0-merror:0.4 validation_0-mlogloss:0.813392 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.800667 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.79398 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789014 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.780405 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.773667 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.770356 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769172 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765042 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774261 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.769356 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765221 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.764377 [26] validation_0-merror:0.35 validation_0-mlogloss:0.760087 [27] validation_0-merror:0.35 validation_0-mlogloss:0.7571 [28] validation_0-merror:0.35 validation_0-mlogloss:0.757457 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.761641 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.763384 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.770696 [32] validation_0-merror:0.35 validation_0-mlogloss:0.771444 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.7571 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979098 [3] validation_0-merror:0.3 validation_0-mlogloss:0.943474 [4] validation_0-merror:0.3 validation_0-mlogloss:0.924771 [5] validation_0-merror:0.3 validation_0-mlogloss:0.908945 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.886112 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866934 [8] validation_0-merror:0.3 validation_0-mlogloss:0.856588 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85159 [10] validation_0-merror:0.3 validation_0-mlogloss:0.84911 [11] validation_0-merror:0.3 validation_0-mlogloss:0.844827 [12] validation_0-merror:0.3 validation_0-mlogloss:0.834819 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831582 [14] validation_0-merror:0.3 validation_0-mlogloss:0.82117 [15] validation_0-merror:0.3 validation_0-mlogloss:0.811253 [16] validation_0-merror:0.3 validation_0-mlogloss:0.801781 [17] validation_0-merror:0.3 validation_0-mlogloss:0.792457 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.789659 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.780522 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.775291 [21] validation_0-merror:0.3 validation_0-mlogloss:0.774622 [22] validation_0-merror:0.3 validation_0-mlogloss:0.768777 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.766351 [24] validation_0-merror:0.3 validation_0-mlogloss:0.763034 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.764121 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.765495 [27] validation_0-merror:0.3 validation_0-mlogloss:0.761414 [28] validation_0-merror:0.3 validation_0-mlogloss:0.762788 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.765358 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.766353 [31] validation_0-merror:0.3 validation_0-mlogloss:0.766294 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.7626 Stopping. Best iteration: [27] validation_0-merror:0.3 validation_0-mlogloss:0.761414 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00281 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967786 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.93681 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909423 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889064 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871749 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855545 [8] validation_0-merror:0.35 validation_0-mlogloss:0.842681 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83141 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820582 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812013 [12] validation_0-merror:0.35 validation_0-mlogloss:0.80576 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799193 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792705 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786439 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779161 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774179 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771313 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768901 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.765939 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764853 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765598 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762907 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760568 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75747 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754239 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.753335 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747055 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749348 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.747679 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.749247 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.747686 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.747942 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747055 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04776 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0027 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.966074 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.93451 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907561 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886662 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.868541 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.852652 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838321 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826148 [10] validation_0-merror:0.35 validation_0-mlogloss:0.815928 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804015 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794058 [13] validation_0-merror:0.35 validation_0-mlogloss:0.787391 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78493 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781739 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778421 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77813 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770019 [20] validation_0-merror:0.35 validation_0-mlogloss:0.764493 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762312 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764196 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760079 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760138 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760001 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758365 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757537 [28] validation_0-merror:0.35 validation_0-mlogloss:0.759163 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761203 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763669 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765557 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767179 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757537 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00722 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97473 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945701 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923777 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902131 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885628 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867391 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857615 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842993 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83786 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828281 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819933 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.813927 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.814832 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.810409 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.805369 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.805854 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.806242 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.802222 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.800519 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.801526 [22] validation_0-merror:0.3 validation_0-mlogloss:0.801581 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.796148 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.795222 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.793461 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.790995 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.785346 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.785171 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.778991 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.778078 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.775994 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.775273 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.773567 [34] validation_0-merror:0.3 validation_0-mlogloss:0.774881 [35] validation_0-merror:0.3 validation_0-mlogloss:0.775324 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.773657 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.772116 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.770179 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.77349 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.774341 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.770539 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.768469 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.766719 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.766876 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.765817 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.766655 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.771576 [48] validation_0-merror:0.3 validation_0-mlogloss:0.774242 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.774833 [50] validation_0-merror:0.3 validation_0-mlogloss:0.780197 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.765817 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01121 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.4 validation_0-mlogloss:0.949096 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926134 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90546 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888343 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871475 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858134 [9] validation_0-merror:0.35 validation_0-mlogloss:0.84003 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82892 [11] validation_0-merror:0.35 validation_0-mlogloss:0.81831 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.811071 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804338 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800134 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.788973 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774397 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768426 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761987 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756953 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746536 [21] validation_0-merror:0.35 validation_0-mlogloss:0.742438 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.73742 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726275 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.718811 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.711971 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.713371 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702724 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.702158 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.704235 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.705081 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.706107 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704384 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.702617 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.702158 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02153 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.989561 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957726 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.935282 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914561 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895415 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881379 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.861305 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.852406 [10] validation_0-merror:0.4 validation_0-mlogloss:0.84275 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830134 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826697 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818247 [14] validation_0-merror:0.4 validation_0-mlogloss:0.808654 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802511 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791101 [17] validation_0-merror:0.4 validation_0-mlogloss:0.785727 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78412 [19] validation_0-merror:0.4 validation_0-mlogloss:0.769979 [20] validation_0-merror:0.4 validation_0-mlogloss:0.765037 [21] validation_0-merror:0.4 validation_0-mlogloss:0.757973 [22] validation_0-merror:0.4 validation_0-mlogloss:0.757958 [23] validation_0-merror:0.4 validation_0-mlogloss:0.75483 [24] validation_0-merror:0.4 validation_0-mlogloss:0.75242 [25] validation_0-merror:0.4 validation_0-mlogloss:0.754085 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.746794 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747551 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.746193 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.744405 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.7448 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.744863 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.744927 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.744045 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.750607 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.754675 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.756238 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.758208 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.766473 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.744045 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997179 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966805 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945145 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926943 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.910738 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895676 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878882 [9] validation_0-merror:0.3 validation_0-mlogloss:0.86779 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.860154 [11] validation_0-merror:0.35 validation_0-mlogloss:0.849179 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.833477 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825988 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81724 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806997 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799734 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792971 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.792327 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789463 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789732 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.789199 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.786806 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.779448 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.77756 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.775745 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.768612 [27] validation_0-merror:0.35 validation_0-mlogloss:0.767218 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.762753 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.762342 [30] validation_0-merror:0.35 validation_0-mlogloss:0.756324 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.753827 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.755379 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.753853 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.75256 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752307 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.752724 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.749881 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.751957 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.747888 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.749097 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.744788 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.748521 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.745713 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.744924 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.743257 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.74651 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.748596 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.747961 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.747862 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.74968 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.743257 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0104 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978422 [3] validation_0-merror:0.4 validation_0-mlogloss:0.95241 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.931014 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910564 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.889604 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.870377 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.853722 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.836084 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.823667 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805785 [12] validation_0-merror:0.35 validation_0-mlogloss:0.793826 [13] validation_0-merror:0.35 validation_0-mlogloss:0.787741 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78473 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776332 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766546 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.761328 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753515 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.750106 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.742857 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.739125 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731031 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729903 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72397 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.725984 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724317 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.719329 [28] validation_0-merror:0.3 validation_0-mlogloss:0.718476 [29] validation_0-merror:0.3 validation_0-mlogloss:0.717499 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.716853 [31] validation_0-merror:0.3 validation_0-mlogloss:0.716119 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714816 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710948 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.711943 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.707031 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.710148 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.707328 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.705097 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.703263 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.706547 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.705994 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.704012 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.704715 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.708042 Stopping. Best iteration: [39] validation_0-merror:0.266667 validation_0-mlogloss:0.703263 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05123 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01506 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.981119 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945686 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922307 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903781 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.884174 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.874424 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862297 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.84836 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.834925 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828204 [12] validation_0-merror:0.4 validation_0-mlogloss:0.820968 [13] validation_0-merror:0.4 validation_0-mlogloss:0.812734 [14] validation_0-merror:0.4 validation_0-mlogloss:0.800822 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793791 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.787597 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.782708 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777142 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.770675 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769259 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762044 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764604 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759315 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.761596 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764588 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.762798 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762627 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.764102 Stopping. Best iteration: [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759315 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01394 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984919 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.954291 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.936066 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921725 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900885 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.881951 [8] validation_0-merror:0.35 validation_0-mlogloss:0.875582 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869314 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.865416 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.857367 [12] validation_0-merror:0.3 validation_0-mlogloss:0.848843 [13] validation_0-merror:0.3 validation_0-mlogloss:0.842943 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.831487 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.820921 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.811572 [17] validation_0-merror:0.3 validation_0-mlogloss:0.801903 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.798474 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.787279 [20] validation_0-merror:0.3 validation_0-mlogloss:0.782861 [21] validation_0-merror:0.3 validation_0-mlogloss:0.781375 [22] validation_0-merror:0.3 validation_0-mlogloss:0.779171 [23] validation_0-merror:0.3 validation_0-mlogloss:0.779295 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.777454 [25] validation_0-merror:0.3 validation_0-mlogloss:0.774736 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.773308 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.772795 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.776624 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.778477 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.778862 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.778716 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.774394 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.772795 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05115 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01325 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98193 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955006 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93031 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911834 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895944 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881547 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8685 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.856251 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.8469 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839339 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831672 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823979 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818041 [15] validation_0-merror:0.35 validation_0-mlogloss:0.810131 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805265 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798292 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789359 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780006 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779979 [21] validation_0-merror:0.35 validation_0-mlogloss:0.780359 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777725 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.773877 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770669 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.764918 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764565 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.764624 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.76284 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761728 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.761078 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.758231 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.757371 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.756781 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.757296 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752063 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.750903 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.750571 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.75217 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.749818 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.74767 [41] validation_0-merror:0.3 validation_0-mlogloss:0.743727 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.744159 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.741802 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.74099 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.736682 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.736939 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.732331 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.73078 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.732555 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.731527 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.729055 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.730715 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.732494 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.733626 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.731645 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.731763 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.729055 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00745 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.972267 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.942822 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919927 [5] validation_0-merror:0.4 validation_0-mlogloss:0.899458 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.878128 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861113 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845759 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.833448 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822606 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816865 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.811555 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.806758 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.799256 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800035 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.793982 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.786705 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78601 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782585 [20] validation_0-merror:0.35 validation_0-mlogloss:0.780752 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783633 [22] validation_0-merror:0.35 validation_0-mlogloss:0.781658 [23] validation_0-merror:0.35 validation_0-mlogloss:0.780123 [24] validation_0-merror:0.35 validation_0-mlogloss:0.781046 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776724 [26] validation_0-merror:0.35 validation_0-mlogloss:0.774674 [27] validation_0-merror:0.35 validation_0-mlogloss:0.7773 [28] validation_0-merror:0.35 validation_0-mlogloss:0.777739 [29] validation_0-merror:0.35 validation_0-mlogloss:0.778014 [30] validation_0-merror:0.35 validation_0-mlogloss:0.779481 [31] validation_0-merror:0.35 validation_0-mlogloss:0.779 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.774674 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05152 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.35 validation_0-mlogloss:0.979022 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.950874 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931459 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913099 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.902488 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.88353 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869309 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863503 [10] validation_0-merror:0.35 validation_0-mlogloss:0.852511 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842463 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.833224 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.822989 [14] validation_0-merror:0.3 validation_0-mlogloss:0.824461 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824818 [16] validation_0-merror:0.3 validation_0-mlogloss:0.820648 [17] validation_0-merror:0.3 validation_0-mlogloss:0.817004 [18] validation_0-merror:0.3 validation_0-mlogloss:0.809411 [19] validation_0-merror:0.3 validation_0-mlogloss:0.804876 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.802415 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801991 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.798131 [23] validation_0-merror:0.3 validation_0-mlogloss:0.794939 [24] validation_0-merror:0.3 validation_0-mlogloss:0.791869 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.790573 [26] validation_0-merror:0.3 validation_0-mlogloss:0.78929 [27] validation_0-merror:0.3 validation_0-mlogloss:0.788344 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.781054 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.771087 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.767877 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.765763 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.764078 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.762742 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.76568 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.761754 [36] validation_0-merror:0.3 validation_0-mlogloss:0.762523 [37] validation_0-merror:0.3 validation_0-mlogloss:0.760268 [38] validation_0-merror:0.3 validation_0-mlogloss:0.764068 [39] validation_0-merror:0.3 validation_0-mlogloss:0.767462 [40] validation_0-merror:0.3 validation_0-mlogloss:0.767334 [41] validation_0-merror:0.3 validation_0-mlogloss:0.77104 [42] validation_0-merror:0.3 validation_0-mlogloss:0.769487 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.760268 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904816 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887912 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871804 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858611 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840964 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829195 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.821054 [12] validation_0-merror:0.35 validation_0-mlogloss:0.812717 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802514 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798296 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790995 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.780421 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773983 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767995 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761607 [20] validation_0-merror:0.3 validation_0-mlogloss:0.753995 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749199 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.745535 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738002 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.730014 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724079 [26] validation_0-merror:0.25 validation_0-mlogloss:0.72339 [27] validation_0-merror:0.25 validation_0-mlogloss:0.71751 [28] validation_0-merror:0.25 validation_0-mlogloss:0.714278 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.713592 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713699 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712328 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713712 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713414 [34] validation_0-merror:0.3 validation_0-mlogloss:0.711971 [35] validation_0-merror:0.3 validation_0-mlogloss:0.712433 [36] validation_0-merror:0.3 validation_0-mlogloss:0.713549 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.718441 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.71482 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.713286 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.711971 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06472 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993461 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959863 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936479 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.917065 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897312 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882013 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862972 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853961 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.843356 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.831854 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.827775 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818369 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80761 [15] validation_0-merror:0.4 validation_0-mlogloss:0.79734 [16] validation_0-merror:0.4 validation_0-mlogloss:0.785672 [17] validation_0-merror:0.4 validation_0-mlogloss:0.782254 [18] validation_0-merror:0.4 validation_0-mlogloss:0.778735 [19] validation_0-merror:0.4 validation_0-mlogloss:0.769821 [20] validation_0-merror:0.4 validation_0-mlogloss:0.765085 [21] validation_0-merror:0.4 validation_0-mlogloss:0.760936 [22] validation_0-merror:0.4 validation_0-mlogloss:0.759411 [23] validation_0-merror:0.4 validation_0-mlogloss:0.757471 [24] validation_0-merror:0.4 validation_0-mlogloss:0.755231 [25] validation_0-merror:0.4 validation_0-mlogloss:0.760485 [26] validation_0-merror:0.4 validation_0-mlogloss:0.753106 [27] validation_0-merror:0.4 validation_0-mlogloss:0.749899 [28] validation_0-merror:0.4 validation_0-mlogloss:0.74775 [29] validation_0-merror:0.4 validation_0-mlogloss:0.744636 [30] validation_0-merror:0.4 validation_0-mlogloss:0.745083 [31] validation_0-merror:0.4 validation_0-mlogloss:0.747006 [32] validation_0-merror:0.4 validation_0-mlogloss:0.743696 [33] validation_0-merror:0.4 validation_0-mlogloss:0.742336 [34] validation_0-merror:0.4 validation_0-mlogloss:0.743756 [35] validation_0-merror:0.4 validation_0-mlogloss:0.747548 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.748229 [37] validation_0-merror:0.4 validation_0-mlogloss:0.750498 [38] validation_0-merror:0.4 validation_0-mlogloss:0.75825 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.742336 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971465 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946297 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926245 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909617 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895451 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.879323 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.863694 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.857616 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844987 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829786 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823303 [14] validation_0-merror:0.35 validation_0-mlogloss:0.81208 [15] validation_0-merror:0.35 validation_0-mlogloss:0.801561 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794339 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789144 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788152 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78045 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.780217 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774155 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769051 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762262 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757543 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754004 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748382 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746481 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.743288 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740739 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.73617 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.734429 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.7339 [33] validation_0-merror:0.35 validation_0-mlogloss:0.734286 [34] validation_0-merror:0.35 validation_0-mlogloss:0.731073 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731043 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.73143 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.727355 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728158 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724649 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.722683 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.719742 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720195 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.719951 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.719918 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.717373 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.71929 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.721477 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.716846 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.716049 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.717881 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.718594 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.72193 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.718264 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.720693 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.716049 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01679 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.9823 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955101 [4] validation_0-merror:0.4 validation_0-mlogloss:0.934036 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912752 [6] validation_0-merror:0.35 validation_0-mlogloss:0.891448 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871975 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852901 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835919 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823201 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806915 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.795098 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787123 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780801 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772202 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765213 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764805 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.762234 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759074 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753706 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754139 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746536 [23] validation_0-merror:0.3 validation_0-mlogloss:0.741404 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.737886 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.732518 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.731113 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72495 [28] validation_0-merror:0.3 validation_0-mlogloss:0.721501 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725369 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.722901 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722662 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.722739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.72005 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.718529 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.716474 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.717612 [37] validation_0-merror:0.3 validation_0-mlogloss:0.721634 [38] validation_0-merror:0.3 validation_0-mlogloss:0.718884 [39] validation_0-merror:0.3 validation_0-mlogloss:0.718475 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719496 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.716474 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984893 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.95369 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929385 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913818 [6] validation_0-merror:0.4 validation_0-mlogloss:0.89897 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.887617 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87367 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857349 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842296 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833165 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.823404 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.813794 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.805876 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.802075 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.796377 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.788897 [18] validation_0-merror:0.35 validation_0-mlogloss:0.780665 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.775891 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774828 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.767806 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768973 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765522 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764044 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764466 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756362 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.756945 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.759645 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.76069 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.761499 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.761249 Stopping. Best iteration: [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756362 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.92368 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90348 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885852 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875063 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867492 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851765 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842433 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831458 [13] validation_0-merror:0.3 validation_0-mlogloss:0.826487 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818542 [15] validation_0-merror:0.3 validation_0-mlogloss:0.813036 [16] validation_0-merror:0.3 validation_0-mlogloss:0.809908 [17] validation_0-merror:0.3 validation_0-mlogloss:0.80627 [18] validation_0-merror:0.3 validation_0-mlogloss:0.801648 [19] validation_0-merror:0.3 validation_0-mlogloss:0.791215 [20] validation_0-merror:0.3 validation_0-mlogloss:0.786625 [21] validation_0-merror:0.3 validation_0-mlogloss:0.787658 [22] validation_0-merror:0.3 validation_0-mlogloss:0.783699 [23] validation_0-merror:0.3 validation_0-mlogloss:0.779014 [24] validation_0-merror:0.3 validation_0-mlogloss:0.776821 [25] validation_0-merror:0.3 validation_0-mlogloss:0.77986 [26] validation_0-merror:0.3 validation_0-mlogloss:0.776371 [27] validation_0-merror:0.3 validation_0-mlogloss:0.775249 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.778266 [29] validation_0-merror:0.3 validation_0-mlogloss:0.775595 [30] validation_0-merror:0.3 validation_0-mlogloss:0.773791 [31] validation_0-merror:0.3 validation_0-mlogloss:0.770646 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770415 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.768988 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.767651 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.772273 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.77203 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.770517 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.768215 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.768243 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.767651 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05091 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01348 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982202 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955446 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.933936 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913827 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.89793 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88357 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869725 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.85803 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848747 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839291 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831759 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823411 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.815574 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809542 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805263 [17] validation_0-merror:0.35 validation_0-mlogloss:0.801425 [18] validation_0-merror:0.35 validation_0-mlogloss:0.801169 [19] validation_0-merror:0.35 validation_0-mlogloss:0.797688 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.798524 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.797295 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.794988 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.794737 [24] validation_0-merror:0.35 validation_0-mlogloss:0.793321 [25] validation_0-merror:0.35 validation_0-mlogloss:0.788375 [26] validation_0-merror:0.35 validation_0-mlogloss:0.785672 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.784102 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778373 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.773816 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.77229 [31] validation_0-merror:0.35 validation_0-mlogloss:0.770638 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770969 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.769117 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.763614 [35] validation_0-merror:0.3 validation_0-mlogloss:0.762603 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.763239 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.764245 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.764302 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.763642 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.761878 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.760324 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.761316 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.760605 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.760164 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.761046 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.759039 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.756033 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.755366 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.755884 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.755253 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.756483 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.754333 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.75254 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.750292 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.751753 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.751901 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.750377 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.747677 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.745828 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.745106 [61] validation_0-merror:0.316667 validation_0-mlogloss:0.744802 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.74401 [63] validation_0-merror:0.3 validation_0-mlogloss:0.741784 [64] validation_0-merror:0.316667 validation_0-mlogloss:0.742842 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.743847 [66] validation_0-merror:0.316667 validation_0-mlogloss:0.745068 [67] validation_0-merror:0.3 validation_0-mlogloss:0.742439 [68] validation_0-merror:0.3 validation_0-mlogloss:0.743183 Stopping. Best iteration: [63] validation_0-merror:0.3 validation_0-mlogloss:0.741784 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04766 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00744 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.973823 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945436 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9204 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.898614 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882505 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867655 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.858263 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845253 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836388 [11] validation_0-merror:0.4 validation_0-mlogloss:0.831893 [12] validation_0-merror:0.4 validation_0-mlogloss:0.823463 [13] validation_0-merror:0.4 validation_0-mlogloss:0.820903 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813963 [15] validation_0-merror:0.4 validation_0-mlogloss:0.805211 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800888 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.797287 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.794435 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789714 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789508 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.78943 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.790959 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.788122 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.787184 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.789454 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.788452 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.784779 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.778824 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.77905 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.776519 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.775533 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774826 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.778485 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.780527 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.780043 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.782307 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.784813 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774826 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01442 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978862 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957423 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927437 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.905558 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.890633 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877643 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863241 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856094 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.845272 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83341 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827147 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820734 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817055 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.816805 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80904 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.8092 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.80668 [19] validation_0-merror:0.3 validation_0-mlogloss:0.805647 [20] validation_0-merror:0.3 validation_0-mlogloss:0.79943 [21] validation_0-merror:0.3 validation_0-mlogloss:0.797104 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793771 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.792836 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.787062 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.785922 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.784063 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.780691 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.778852 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.776542 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.773132 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770812 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.772114 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.76908 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.769554 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.767528 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.7706 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.76955 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.767975 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.764654 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.763701 [41] validation_0-merror:0.3 validation_0-mlogloss:0.764964 [42] validation_0-merror:0.3 validation_0-mlogloss:0.764766 [43] validation_0-merror:0.3 validation_0-mlogloss:0.763496 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.761868 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.763357 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.763099 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.764215 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.765598 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.767 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.761868 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04941 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0063 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975075 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945182 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.920204 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898019 [6] validation_0-merror:0.35 validation_0-mlogloss:0.875164 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859193 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.837165 [9] validation_0-merror:0.35 validation_0-mlogloss:0.820285 [10] validation_0-merror:0.35 validation_0-mlogloss:0.808255 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.796592 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.790269 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.781684 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.775607 [15] validation_0-merror:0.35 validation_0-mlogloss:0.768283 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.761722 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.758549 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748552 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.743333 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.738354 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739497 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.738427 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.733792 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.725361 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.722186 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.722784 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.714882 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713016 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.71789 [30] validation_0-merror:0.3 validation_0-mlogloss:0.718657 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721496 [32] validation_0-merror:0.3 validation_0-mlogloss:0.725423 [33] validation_0-merror:0.3 validation_0-mlogloss:0.725211 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713016 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06141 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98266 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.953799 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930577 [5] validation_0-merror:0.4 validation_0-mlogloss:0.910958 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.891289 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.875337 [8] validation_0-merror:0.4 validation_0-mlogloss:0.861778 [9] validation_0-merror:0.4 validation_0-mlogloss:0.855893 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.846378 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.83926 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.835774 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.830483 [14] validation_0-merror:0.4 validation_0-mlogloss:0.819754 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.808498 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.802044 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.804788 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.798664 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790536 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789785 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.781027 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.78175 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.777485 [24] validation_0-merror:0.35 validation_0-mlogloss:0.781559 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.786776 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.786441 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.786319 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.78261 Stopping. Best iteration: [23] validation_0-merror:0.366667 validation_0-mlogloss:0.777485 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987237 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952656 [4] validation_0-merror:0.35 validation_0-mlogloss:0.921031 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899716 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882342 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863493 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851025 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835348 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836538 [11] validation_0-merror:0.35 validation_0-mlogloss:0.81996 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803152 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798196 [14] validation_0-merror:0.35 validation_0-mlogloss:0.783959 [15] validation_0-merror:0.35 validation_0-mlogloss:0.771267 [16] validation_0-merror:0.35 validation_0-mlogloss:0.761961 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.748233 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749645 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746174 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745536 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.743002 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.743767 [23] validation_0-merror:0.35 validation_0-mlogloss:0.742724 [24] validation_0-merror:0.35 validation_0-mlogloss:0.742777 [25] validation_0-merror:0.35 validation_0-mlogloss:0.742085 [26] validation_0-merror:0.35 validation_0-mlogloss:0.752284 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755215 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752534 [29] validation_0-merror:0.35 validation_0-mlogloss:0.753078 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755264 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.742085 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04622 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00616 [2] validation_0-merror:0.3 validation_0-mlogloss:0.965926 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.941881 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.915623 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890798 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870445 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.850242 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.831712 [9] validation_0-merror:0.3 validation_0-mlogloss:0.819221 [10] validation_0-merror:0.3 validation_0-mlogloss:0.811968 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.791893 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.783384 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.775465 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.765988 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.759467 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.753202 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.746481 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.74276 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.741918 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731937 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.722403 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.718395 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.71283 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.709371 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.704934 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.703287 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699653 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.700794 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.701085 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697217 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.702773 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70288 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.704633 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.704567 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.705569 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697217 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05467 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01619 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977654 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.936771 [4] validation_0-merror:0.35 validation_0-mlogloss:0.91261 [5] validation_0-merror:0.35 validation_0-mlogloss:0.896661 [6] validation_0-merror:0.35 validation_0-mlogloss:0.875158 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857906 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842456 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828505 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820543 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812896 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804639 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.796876 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786409 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780774 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777396 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777265 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.775257 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.77332 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.776667 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.771772 [22] validation_0-merror:0.3 validation_0-mlogloss:0.775666 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772284 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.769767 [25] validation_0-merror:0.3 validation_0-mlogloss:0.767786 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.769097 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.769074 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769461 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.770887 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771265 Stopping. Best iteration: [25] validation_0-merror:0.3 validation_0-mlogloss:0.767786 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05508 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01244 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986067 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951739 [4] validation_0-merror:0.3 validation_0-mlogloss:0.929589 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916994 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894082 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875861 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.864564 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859067 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853018 [11] validation_0-merror:0.35 validation_0-mlogloss:0.848804 [12] validation_0-merror:0.35 validation_0-mlogloss:0.842319 [13] validation_0-merror:0.35 validation_0-mlogloss:0.837634 [14] validation_0-merror:0.35 validation_0-mlogloss:0.832658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.827183 [16] validation_0-merror:0.35 validation_0-mlogloss:0.821979 [17] validation_0-merror:0.35 validation_0-mlogloss:0.812319 [18] validation_0-merror:0.35 validation_0-mlogloss:0.811986 [19] validation_0-merror:0.35 validation_0-mlogloss:0.805014 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.799671 [21] validation_0-merror:0.35 validation_0-mlogloss:0.805551 [22] validation_0-merror:0.35 validation_0-mlogloss:0.80283 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.801387 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.802743 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.799771 Stopping. Best iteration: [20] validation_0-merror:0.333333 validation_0-mlogloss:0.799671 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04262 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.996312 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.961568 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.929276 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.907095 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.881017 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.860349 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.840187 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.820996 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.805888 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.786605 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.770049 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.755861 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.744172 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.73579 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.730333 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.720599 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.715151 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.711276 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.708271 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.706123 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.701138 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.698478 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.697267 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.696251 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.689402 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.688145 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.683801 [28] validation_0-merror:0.25 validation_0-mlogloss:0.680119 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.680232 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.676614 [31] validation_0-merror:0.25 validation_0-mlogloss:0.677076 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.677059 [33] validation_0-merror:0.25 validation_0-mlogloss:0.677808 [34] validation_0-merror:0.25 validation_0-mlogloss:0.675387 [35] validation_0-merror:0.25 validation_0-mlogloss:0.677764 [36] validation_0-merror:0.25 validation_0-mlogloss:0.680127 [37] validation_0-merror:0.25 validation_0-mlogloss:0.679494 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.678849 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.677098 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.675387 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00633 [2] validation_0-merror:0.35 validation_0-mlogloss:0.968193 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937573 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.911535 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.890282 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872982 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857023 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850298 [9] validation_0-merror:0.3 validation_0-mlogloss:0.838432 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838094 [11] validation_0-merror:0.3 validation_0-mlogloss:0.831952 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.829414 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822772 [14] validation_0-merror:0.35 validation_0-mlogloss:0.817972 [15] validation_0-merror:0.35 validation_0-mlogloss:0.80835 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805313 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799317 [18] validation_0-merror:0.35 validation_0-mlogloss:0.80348 [19] validation_0-merror:0.35 validation_0-mlogloss:0.808502 [20] validation_0-merror:0.35 validation_0-mlogloss:0.808693 [21] validation_0-merror:0.35 validation_0-mlogloss:0.811794 [22] validation_0-merror:0.35 validation_0-mlogloss:0.813564 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.799317 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01513 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980607 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956648 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.935661 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923358 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909491 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897806 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889316 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881169 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.87466 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864153 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.859646 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.854441 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.85338 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.853389 [16] validation_0-merror:0.4 validation_0-mlogloss:0.853657 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.856563 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.859958 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.862874 Stopping. Best iteration: [14] validation_0-merror:0.383333 validation_0-mlogloss:0.85338 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00398 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975753 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95022 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922685 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901589 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879747 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865446 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845958 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.827762 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.818012 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809684 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803748 [13] validation_0-merror:0.3 validation_0-mlogloss:0.797503 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792847 [15] validation_0-merror:0.35 validation_0-mlogloss:0.785359 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780487 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77485 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766861 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761781 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753746 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747728 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742891 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736843 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73116 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723232 [26] validation_0-merror:0.3 validation_0-mlogloss:0.722596 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716256 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711908 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711755 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709391 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.707612 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.710513 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70786 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706414 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709442 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712778 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.718056 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715444 [39] validation_0-merror:0.3 validation_0-mlogloss:0.712092 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706414 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06032 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988841 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955698 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932145 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911741 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891825 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871707 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853604 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846932 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837612 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82702 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.826038 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813839 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807515 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798096 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792708 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791931 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790646 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.786251 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784719 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.779867 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.781769 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.776422 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.775318 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.7728 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770316 [27] validation_0-merror:0.35 validation_0-mlogloss:0.766864 [28] validation_0-merror:0.35 validation_0-mlogloss:0.757257 [29] validation_0-merror:0.35 validation_0-mlogloss:0.758585 [30] validation_0-merror:0.35 validation_0-mlogloss:0.756843 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.758357 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.757543 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.758775 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.764293 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.770571 Stopping. Best iteration: [30] validation_0-merror:0.35 validation_0-mlogloss:0.756843 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05207 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01429 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98082 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94796 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919262 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899765 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882982 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870338 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858271 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843717 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842241 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826552 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811141 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805858 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.792405 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779326 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769524 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.755186 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.754005 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752035 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.749366 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747448 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746109 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.74438 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745957 [25] validation_0-merror:0.3 validation_0-mlogloss:0.743024 [26] validation_0-merror:0.3 validation_0-mlogloss:0.740012 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739148 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741416 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.741184 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735408 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738903 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.738979 [33] validation_0-merror:0.3 validation_0-mlogloss:0.739417 [34] validation_0-merror:0.3 validation_0-mlogloss:0.741603 [35] validation_0-merror:0.3 validation_0-mlogloss:0.740248 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735408 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05056 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01125 [2] validation_0-merror:0.35 validation_0-mlogloss:0.973761 [3] validation_0-merror:0.3 validation_0-mlogloss:0.944328 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923855 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89747 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.873513 [7] validation_0-merror:0.35 validation_0-mlogloss:0.852256 [8] validation_0-merror:0.3 validation_0-mlogloss:0.832793 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.817238 [10] validation_0-merror:0.3 validation_0-mlogloss:0.8109 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.795835 [12] validation_0-merror:0.3 validation_0-mlogloss:0.785096 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.779409 [14] validation_0-merror:0.3 validation_0-mlogloss:0.773895 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.767354 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760638 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.75702 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.748069 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.744983 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.740083 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.731539 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.726731 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.720314 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716499 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.713444 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.712362 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705941 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.703343 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.702233 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697428 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701461 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.699919 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699055 [34] validation_0-merror:0.3 validation_0-mlogloss:0.700013 [35] validation_0-merror:0.3 validation_0-mlogloss:0.696784 [36] validation_0-merror:0.3 validation_0-mlogloss:0.698827 [37] validation_0-merror:0.3 validation_0-mlogloss:0.697033 [38] validation_0-merror:0.3 validation_0-mlogloss:0.695193 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692188 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692641 [41] validation_0-merror:0.3 validation_0-mlogloss:0.69381 [42] validation_0-merror:0.3 validation_0-mlogloss:0.691603 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.693768 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.69788 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.698528 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703742 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.705349 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.691603 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04882 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01243 [2] validation_0-merror:0.4 validation_0-mlogloss:0.97393 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.931763 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.90545 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890128 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.873371 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.859918 [8] validation_0-merror:0.35 validation_0-mlogloss:0.841358 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.827528 [10] validation_0-merror:0.35 validation_0-mlogloss:0.814626 [11] validation_0-merror:0.35 validation_0-mlogloss:0.806255 [12] validation_0-merror:0.35 validation_0-mlogloss:0.800817 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799226 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788832 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783269 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779389 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.778978 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774087 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770407 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.768509 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763498 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771173 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.770805 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.769735 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.769108 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.77437 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763498 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05499 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980287 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94259 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920393 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902448 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88143 [7] validation_0-merror:0.3 validation_0-mlogloss:0.860682 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847518 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842854 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833469 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830507 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816058 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808748 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.79635 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789344 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779119 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772286 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771873 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765779 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760089 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75919 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.753444 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.752687 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.753709 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752711 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.751886 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.752607 [29] validation_0-merror:0.3 validation_0-mlogloss:0.751963 [30] validation_0-merror:0.35 validation_0-mlogloss:0.757233 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.756875 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.753211 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.751886 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04989 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00545 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.972316 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940643 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916371 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894676 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876431 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86133 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849237 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836042 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826226 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819979 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.812804 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805667 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798975 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790523 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782609 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.775186 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767896 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766878 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.761341 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757682 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.755003 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.752864 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.748613 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.74607 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.740306 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.737757 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.735959 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.736386 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.735234 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.735234 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.733262 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.732014 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.732592 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.731119 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.733577 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.738118 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.741021 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.739986 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.743504 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.731119 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04752 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00655 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.970633 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.938982 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.913775 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.890637 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.872349 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.852976 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.836238 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.821218 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.808846 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.795229 [12] validation_0-merror:0.35 validation_0-mlogloss:0.789692 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.777463 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777355 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771862 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773473 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770678 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762115 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75254 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747917 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744908 [22] validation_0-merror:0.3 validation_0-mlogloss:0.74624 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.745093 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.749059 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752683 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751132 Stopping. Best iteration: [21] validation_0-merror:0.3 validation_0-mlogloss:0.744908 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05117 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01084 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9787 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946094 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918152 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.895141 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.878935 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862314 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853216 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846424 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83847 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832971 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827098 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.822434 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81719 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816785 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.81167 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.80867 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.804109 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.806393 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.808076 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.809733 [22] validation_0-merror:0.35 validation_0-mlogloss:0.812796 [23] validation_0-merror:0.35 validation_0-mlogloss:0.813412 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.804109 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00747 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977734 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947836 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925504 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906156 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885399 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868187 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853332 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838224 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827196 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815209 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807541 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.798192 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791726 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.786309 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780615 [17] validation_0-merror:0.35 validation_0-mlogloss:0.777105 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769219 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763994 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755071 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750603 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.750132 [23] validation_0-merror:0.35 validation_0-mlogloss:0.742588 [24] validation_0-merror:0.35 validation_0-mlogloss:0.73466 [25] validation_0-merror:0.35 validation_0-mlogloss:0.730635 [26] validation_0-merror:0.35 validation_0-mlogloss:0.731557 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.727083 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.721151 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72212 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718706 [31] validation_0-merror:0.35 validation_0-mlogloss:0.717863 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.718236 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.716303 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.716847 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.715573 [36] validation_0-merror:0.35 validation_0-mlogloss:0.715294 [37] validation_0-merror:0.35 validation_0-mlogloss:0.720892 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716471 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711656 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.707143 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.701672 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702612 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702814 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705415 [45] validation_0-merror:0.3 validation_0-mlogloss:0.702063 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703987 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.701672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02308 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987189 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954737 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929045 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909023 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888472 [7] validation_0-merror:0.4 validation_0-mlogloss:0.874496 [8] validation_0-merror:0.4 validation_0-mlogloss:0.856729 [9] validation_0-merror:0.4 validation_0-mlogloss:0.850145 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841617 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828401 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824499 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816274 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811491 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800902 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79499 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.79621 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790671 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783233 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781018 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771583 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771491 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766641 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764812 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764128 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759296 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.758126 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.747159 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746833 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.753462 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.757672 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75757 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.752827 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.760471 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.746833 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992243 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959049 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938728 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917539 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897967 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884257 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8703 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.857669 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851198 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837314 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82365 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.817507 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.80402 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788125 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780036 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.772523 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769966 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762505 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765356 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766326 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.766079 [23] validation_0-merror:0.3 validation_0-mlogloss:0.763018 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763947 Stopping. Best iteration: [19] validation_0-merror:0.3 validation_0-mlogloss:0.762505 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00925 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977946 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948852 [4] validation_0-merror:0.35 validation_0-mlogloss:0.926707 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906791 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88846 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868016 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85092 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833048 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823668 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808351 [12] validation_0-merror:0.3 validation_0-mlogloss:0.798949 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793242 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786334 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774205 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.766144 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7599 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.755039 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.753758 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.747095 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738299 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.735725 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734168 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.733981 [25] validation_0-merror:0.3 validation_0-mlogloss:0.729557 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.726575 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.724317 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.722249 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.726058 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.725755 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.725523 [32] validation_0-merror:0.3 validation_0-mlogloss:0.723912 [33] validation_0-merror:0.3 validation_0-mlogloss:0.725635 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.722249 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01062 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.971451 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.935258 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.915751 [5] validation_0-merror:0.4 validation_0-mlogloss:0.902325 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.879199 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861848 [8] validation_0-merror:0.4 validation_0-mlogloss:0.846443 [9] validation_0-merror:0.4 validation_0-mlogloss:0.835063 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.821368 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.813327 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.806405 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.797777 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.785836 [15] validation_0-merror:0.4 validation_0-mlogloss:0.782386 [16] validation_0-merror:0.4 validation_0-mlogloss:0.777593 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.770432 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.765539 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.761888 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.762575 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760952 [22] validation_0-merror:0.4 validation_0-mlogloss:0.765869 [23] validation_0-merror:0.4 validation_0-mlogloss:0.764499 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765102 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767986 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.763106 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760952 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05065 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01409 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980753 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.947079 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.926417 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.909398 [6] validation_0-merror:0.3 validation_0-mlogloss:0.885334 [7] validation_0-merror:0.3 validation_0-mlogloss:0.866714 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.853053 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847259 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839867 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835959 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828489 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.827586 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.819809 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.811353 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.801088 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.793668 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.790313 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.78115 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.775577 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.773911 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.768884 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.768143 [24] validation_0-merror:0.3 validation_0-mlogloss:0.771138 [25] validation_0-merror:0.3 validation_0-mlogloss:0.773951 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.77195 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.770609 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.775591 Stopping. Best iteration: [23] validation_0-merror:0.266667 validation_0-mlogloss:0.768143 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04638 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00314 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.966593 [3] validation_0-merror:0.3 validation_0-mlogloss:0.936371 [4] validation_0-merror:0.3 validation_0-mlogloss:0.911046 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890184 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.872769 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856406 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84242 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832602 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823907 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.81639 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810654 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801226 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795842 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791852 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.783823 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776338 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.774259 [19] validation_0-merror:0.3 validation_0-mlogloss:0.769202 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761139 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756421 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754694 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748341 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.747148 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74392 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738356 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.736198 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734273 [29] validation_0-merror:0.3 validation_0-mlogloss:0.736684 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.735545 [31] validation_0-merror:0.3 validation_0-mlogloss:0.736686 [32] validation_0-merror:0.3 validation_0-mlogloss:0.738012 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738487 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734273 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04997 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969187 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.937678 [4] validation_0-merror:0.35 validation_0-mlogloss:0.915092 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894055 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.876762 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.859116 [8] validation_0-merror:0.35 validation_0-mlogloss:0.84183 [9] validation_0-merror:0.35 validation_0-mlogloss:0.832799 [10] validation_0-merror:0.35 validation_0-mlogloss:0.819604 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807094 [12] validation_0-merror:0.35 validation_0-mlogloss:0.800198 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.792848 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786139 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.781864 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.77769 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.770901 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772049 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.768659 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.763184 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.761574 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757837 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757903 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.756996 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757289 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755712 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.75566 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754028 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.756752 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.7572 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.76012 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.762705 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.761841 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754028 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0071 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.973316 [3] validation_0-merror:0.35 validation_0-mlogloss:0.943695 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.9177 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902202 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882321 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865125 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85009 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.838995 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82926 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824039 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81734 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815646 [14] validation_0-merror:0.3 validation_0-mlogloss:0.812566 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806049 [16] validation_0-merror:0.3 validation_0-mlogloss:0.807495 [17] validation_0-merror:0.3 validation_0-mlogloss:0.803163 [18] validation_0-merror:0.3 validation_0-mlogloss:0.801009 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799941 [20] validation_0-merror:0.3 validation_0-mlogloss:0.800253 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801363 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.803775 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.806576 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.805621 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799941 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977814 [3] validation_0-merror:0.4 validation_0-mlogloss:0.948691 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925945 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906368 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886182 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869409 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.857609 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83987 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829848 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819345 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810601 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803902 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798318 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791527 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777297 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773643 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767045 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763909 [20] validation_0-merror:0.35 validation_0-mlogloss:0.753584 [21] validation_0-merror:0.35 validation_0-mlogloss:0.749741 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744897 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.733714 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.726355 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7213 [27] validation_0-merror:0.3 validation_0-mlogloss:0.712233 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.711828 [29] validation_0-merror:0.3 validation_0-mlogloss:0.714174 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714438 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715686 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714256 [33] validation_0-merror:0.3 validation_0-mlogloss:0.71467 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.711828 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990128 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.958193 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935676 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.91608 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895604 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880746 [8] validation_0-merror:0.4 validation_0-mlogloss:0.860935 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851908 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842124 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828691 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824846 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816596 [14] validation_0-merror:0.4 validation_0-mlogloss:0.808577 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802243 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791884 [17] validation_0-merror:0.4 validation_0-mlogloss:0.791668 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.789836 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784405 [20] validation_0-merror:0.4 validation_0-mlogloss:0.776881 [21] validation_0-merror:0.4 validation_0-mlogloss:0.771975 [22] validation_0-merror:0.4 validation_0-mlogloss:0.770822 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767852 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764292 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767397 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76115 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759676 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.757717 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756084 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755985 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.756139 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.756446 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754381 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.761387 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.765505 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.767614 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.769976 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.778622 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754381 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997179 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965391 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943652 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924236 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.907506 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.893045 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877784 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866659 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.859102 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.848093 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83245 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82499 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817222 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806987 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.800033 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.793475 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792691 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789842 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789228 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783113 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.781744 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774605 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772362 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.770567 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.763587 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.762551 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.759789 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759369 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751793 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.749419 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.751023 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.750046 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.74927 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.749068 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.749995 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.747176 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.749167 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.745133 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.741991 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.738269 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.741981 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.739637 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.737855 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.73611 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.739046 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.74095 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.740306 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.738132 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.738674 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.73611 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01042 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978708 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951454 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931799 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911127 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888275 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866906 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846007 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829269 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.81841 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.80418 [12] validation_0-merror:0.3 validation_0-mlogloss:0.791834 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.784331 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.780692 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.771006 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.762039 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.759292 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.75121 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.748759 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.739443 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.733459 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.728553 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.722303 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.717086 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.71705 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714634 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.711064 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.710336 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713179 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709759 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.709523 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.709122 [33] validation_0-merror:0.25 validation_0-mlogloss:0.710206 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712444 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.712801 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.717403 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.715246 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.709122 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01591 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980474 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920714 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903054 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885918 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.875428 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863578 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852768 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83929 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.830676 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824286 [13] validation_0-merror:0.4 validation_0-mlogloss:0.81487 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.799486 [15] validation_0-merror:0.4 validation_0-mlogloss:0.792111 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786428 [17] validation_0-merror:0.4 validation_0-mlogloss:0.782082 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.778192 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77082 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.771969 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765196 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.771478 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767263 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766602 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.768215 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.766945 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765196 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.95443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937296 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922669 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901698 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883259 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876664 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869999 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.865973 [11] validation_0-merror:0.3 validation_0-mlogloss:0.857893 [12] validation_0-merror:0.3 validation_0-mlogloss:0.850168 [13] validation_0-merror:0.3 validation_0-mlogloss:0.84472 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.828776 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.81807 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.807796 [17] validation_0-merror:0.3 validation_0-mlogloss:0.802422 [18] validation_0-merror:0.3 validation_0-mlogloss:0.798758 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.78933 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78524 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.782039 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.774193 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774362 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773995 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772625 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.766448 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765489 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.770448 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.77081 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.774823 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773258 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770458 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765489 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05014 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01224 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980903 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931805 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910238 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894773 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.879621 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868766 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858168 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845935 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.835651 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.823373 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.814545 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809251 [15] validation_0-merror:0.35 validation_0-mlogloss:0.803511 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799335 [17] validation_0-merror:0.35 validation_0-mlogloss:0.786903 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.783344 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.776362 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77384 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769923 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.766373 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761366 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.760465 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.761555 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.759983 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75784 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.757414 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754458 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.755371 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.754693 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.756321 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.756295 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.754246 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.754976 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.75081 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.748988 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.746903 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.747491 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.747391 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.747046 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.744838 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.747675 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.749578 [46] validation_0-merror:0.35 validation_0-mlogloss:0.750961 [47] validation_0-merror:0.35 validation_0-mlogloss:0.748951 [48] validation_0-merror:0.35 validation_0-mlogloss:0.748343 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.744838 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9234 [5] validation_0-merror:0.4 validation_0-mlogloss:0.905611 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886366 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.870089 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853518 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.839967 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.832688 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.82286 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.820491 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816974 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813096 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.810041 [16] validation_0-merror:0.4 validation_0-mlogloss:0.809781 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.809487 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.804541 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.803152 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.798343 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.791325 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.790091 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.786552 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.785934 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.788295 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.786615 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.788777 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.786154 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.789514 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.785934 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952651 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933096 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910312 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895118 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.879028 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866283 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855852 [10] validation_0-merror:0.3 validation_0-mlogloss:0.84804 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834578 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828623 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820841 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818499 [15] validation_0-merror:0.3 validation_0-mlogloss:0.822046 [16] validation_0-merror:0.3 validation_0-mlogloss:0.823196 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.815852 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.809894 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80793 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.804756 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.803303 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.801119 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.799194 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.794947 [25] validation_0-merror:0.3 validation_0-mlogloss:0.792568 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.791647 [27] validation_0-merror:0.3 validation_0-mlogloss:0.788428 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.788472 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.782772 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.777945 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.776473 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.772062 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.768383 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.765429 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.766072 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.766293 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.767578 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.769155 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.771313 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.765429 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904816 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885702 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869619 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855528 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837976 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824725 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816801 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808629 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797647 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793597 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786293 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775781 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769306 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761783 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748966 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744575 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.741343 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734208 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.726232 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.720445 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.720323 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.714285 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.711196 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.709033 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709399 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70917 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708785 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707934 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.710115 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.713005 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06472 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993479 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959867 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936457 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91703 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896423 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881522 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862467 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853431 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842836 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830309 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.826137 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817362 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809089 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80205 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790312 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786761 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783076 [19] validation_0-merror:0.4 validation_0-mlogloss:0.77771 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772962 [21] validation_0-merror:0.4 validation_0-mlogloss:0.764817 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76327 [23] validation_0-merror:0.4 validation_0-mlogloss:0.760614 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758229 [25] validation_0-merror:0.4 validation_0-mlogloss:0.762286 [26] validation_0-merror:0.4 validation_0-mlogloss:0.754891 [27] validation_0-merror:0.4 validation_0-mlogloss:0.751623 [28] validation_0-merror:0.4 validation_0-mlogloss:0.75057 [29] validation_0-merror:0.4 validation_0-mlogloss:0.747353 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749661 [31] validation_0-merror:0.4 validation_0-mlogloss:0.751536 [32] validation_0-merror:0.4 validation_0-mlogloss:0.748193 [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [34] validation_0-merror:0.4 validation_0-mlogloss:0.748897 [35] validation_0-merror:0.4 validation_0-mlogloss:0.752565 [36] validation_0-merror:0.4 validation_0-mlogloss:0.753208 [37] validation_0-merror:0.4 validation_0-mlogloss:0.754637 [38] validation_0-merror:0.4 validation_0-mlogloss:0.762425 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945141 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925114 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908511 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.894312 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.878199 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862619 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.856526 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843916 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828743 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822225 [14] validation_0-merror:0.35 validation_0-mlogloss:0.8102 [15] validation_0-merror:0.35 validation_0-mlogloss:0.801372 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794555 [17] validation_0-merror:0.35 validation_0-mlogloss:0.785417 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785101 [19] validation_0-merror:0.35 validation_0-mlogloss:0.777503 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77713 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773207 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767143 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760301 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75563 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752391 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749943 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74842 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745236 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742676 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739497 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737564 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736347 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.734216 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731766 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.735905 [37] validation_0-merror:0.35 validation_0-mlogloss:0.732356 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.735569 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732293 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979138 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.928139 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906804 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88449 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86616 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846423 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829971 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.817639 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804522 [12] validation_0-merror:0.3 validation_0-mlogloss:0.794603 [13] validation_0-merror:0.3 validation_0-mlogloss:0.787243 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.780866 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.769702 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761635 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7605 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752951 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750319 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.741676 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739845 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733613 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725743 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72178 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.718768 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716716 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712547 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.709257 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709168 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706983 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705847 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704941 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70678 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706968 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705085 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70419 [37] validation_0-merror:0.3 validation_0-mlogloss:0.70861 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.70615 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.704418 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.704828 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.703808 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701346 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.703931 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.701579 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.701446 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.702661 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.703029 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984397 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953788 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930788 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914746 [6] validation_0-merror:0.4 validation_0-mlogloss:0.899766 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.888898 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.876851 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.861386 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.847849 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840007 [12] validation_0-merror:0.4 validation_0-mlogloss:0.831393 [13] validation_0-merror:0.4 validation_0-mlogloss:0.82198 [14] validation_0-merror:0.4 validation_0-mlogloss:0.814526 [15] validation_0-merror:0.4 validation_0-mlogloss:0.810371 [16] validation_0-merror:0.4 validation_0-mlogloss:0.803497 [17] validation_0-merror:0.4 validation_0-mlogloss:0.796845 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790139 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787124 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.785787 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.780292 [22] validation_0-merror:0.4 validation_0-mlogloss:0.781966 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776749 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778089 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.779684 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.771768 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.77183 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.772561 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.772268 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.772562 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774144 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.92368 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90348 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885852 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875063 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867492 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85298 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843626 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832658 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827671 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819471 [15] validation_0-merror:0.3 validation_0-mlogloss:0.814867 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.811693 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.808987 [18] validation_0-merror:0.3 validation_0-mlogloss:0.8037 [19] validation_0-merror:0.3 validation_0-mlogloss:0.79 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.787315 [21] validation_0-merror:0.3 validation_0-mlogloss:0.788292 [22] validation_0-merror:0.3 validation_0-mlogloss:0.781994 [23] validation_0-merror:0.3 validation_0-mlogloss:0.77641 [24] validation_0-merror:0.3 validation_0-mlogloss:0.777675 [25] validation_0-merror:0.3 validation_0-mlogloss:0.778229 [26] validation_0-merror:0.3 validation_0-mlogloss:0.772706 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771505 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.774441 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.771279 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770089 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.766873 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.764292 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.762754 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.76498 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.765435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.768553 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.766406 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.767547 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01072 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978637 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952407 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930389 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912256 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893606 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.87998 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86658 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854464 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844784 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834656 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826042 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817498 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811089 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.803022 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799375 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793375 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788936 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787281 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.786309 [21] validation_0-merror:0.35 validation_0-mlogloss:0.782152 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.779363 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.775754 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770732 [25] validation_0-merror:0.35 validation_0-mlogloss:0.771061 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764021 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.762244 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.759386 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.756952 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.755566 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751997 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750361 [33] validation_0-merror:0.3 validation_0-mlogloss:0.750002 [34] validation_0-merror:0.3 validation_0-mlogloss:0.750059 [35] validation_0-merror:0.3 validation_0-mlogloss:0.752033 [36] validation_0-merror:0.3 validation_0-mlogloss:0.751316 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.752119 [38] validation_0-merror:0.3 validation_0-mlogloss:0.751531 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.750002 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00777 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974468 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946731 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.922626 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900372 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880581 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86368 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.847098 [9] validation_0-merror:0.35 validation_0-mlogloss:0.837752 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829472 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822319 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.816231 [13] validation_0-merror:0.4 validation_0-mlogloss:0.812633 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.804813 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801831 [16] validation_0-merror:0.4 validation_0-mlogloss:0.796856 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792444 [18] validation_0-merror:0.4 validation_0-mlogloss:0.790601 [19] validation_0-merror:0.4 validation_0-mlogloss:0.789184 [20] validation_0-merror:0.4 validation_0-mlogloss:0.788931 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.787288 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.78888 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.786311 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.784799 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.783355 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.782475 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.781096 [28] validation_0-merror:0.4 validation_0-mlogloss:0.780589 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.781791 [30] validation_0-merror:0.4 validation_0-mlogloss:0.782134 [31] validation_0-merror:0.4 validation_0-mlogloss:0.78396 [32] validation_0-merror:0.4 validation_0-mlogloss:0.785518 [33] validation_0-merror:0.4 validation_0-mlogloss:0.789075 Stopping. Best iteration: [28] validation_0-merror:0.4 validation_0-mlogloss:0.780589 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908606 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.890932 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878532 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864788 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857584 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844756 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839085 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832056 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823518 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821161 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82042 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.816164 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.814642 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.812013 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807397 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.809855 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.807941 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.801867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.798814 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.79467 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795117 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.793086 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.791937 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.788345 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.784145 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.781864 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.783112 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783899 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.78128 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.778896 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.779199 [36] validation_0-merror:0.3 validation_0-mlogloss:0.777245 [37] validation_0-merror:0.3 validation_0-mlogloss:0.776003 [38] validation_0-merror:0.3 validation_0-mlogloss:0.774101 [39] validation_0-merror:0.3 validation_0-mlogloss:0.772467 [40] validation_0-merror:0.3 validation_0-mlogloss:0.771301 [41] validation_0-merror:0.3 validation_0-mlogloss:0.769494 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.76913 [43] validation_0-merror:0.3 validation_0-mlogloss:0.76864 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767885 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.769557 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.770657 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.772398 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.772561 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.773818 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767885 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05127 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00703 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975826 [3] validation_0-merror:0.35 validation_0-mlogloss:0.947766 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.922496 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900534 [6] validation_0-merror:0.35 validation_0-mlogloss:0.877873 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862212 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837533 [9] validation_0-merror:0.35 validation_0-mlogloss:0.823745 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811736 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.799776 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.79186 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.787032 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778435 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771739 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766756 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762396 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.757537 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750997 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.746935 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.747381 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745152 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738474 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729277 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724823 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726348 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719502 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.716678 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.720092 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.719702 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722539 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.725783 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.723686 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.716678 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02131 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985608 [3] validation_0-merror:0.35 validation_0-mlogloss:0.955619 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932095 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.909505 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886316 [7] validation_0-merror:0.4 validation_0-mlogloss:0.872807 [8] validation_0-merror:0.4 validation_0-mlogloss:0.85877 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.846317 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.837128 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.82793 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.825004 [13] validation_0-merror:0.4 validation_0-mlogloss:0.822181 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813779 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802028 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795693 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.795624 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789846 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784146 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784877 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777284 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.774205 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771408 [24] validation_0-merror:0.35 validation_0-mlogloss:0.771543 [25] validation_0-merror:0.35 validation_0-mlogloss:0.77127 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771051 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769722 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765477 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.766771 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76755 [31] validation_0-merror:0.35 validation_0-mlogloss:0.766126 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763039 [33] validation_0-merror:0.35 validation_0-mlogloss:0.765406 [34] validation_0-merror:0.35 validation_0-mlogloss:0.769575 [35] validation_0-merror:0.35 validation_0-mlogloss:0.781918 [36] validation_0-merror:0.35 validation_0-mlogloss:0.783013 [37] validation_0-merror:0.35 validation_0-mlogloss:0.789481 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763039 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987237 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952344 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920738 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899426 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882042 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863225 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850764 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835089 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83627 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.821096 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80304 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797945 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784962 [15] validation_0-merror:0.35 validation_0-mlogloss:0.772604 [16] validation_0-merror:0.35 validation_0-mlogloss:0.763278 [17] validation_0-merror:0.35 validation_0-mlogloss:0.751725 [18] validation_0-merror:0.35 validation_0-mlogloss:0.752836 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.748745 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747851 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745752 [22] validation_0-merror:0.35 validation_0-mlogloss:0.745694 [23] validation_0-merror:0.35 validation_0-mlogloss:0.744444 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743965 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743621 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753753 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756908 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753714 [29] validation_0-merror:0.35 validation_0-mlogloss:0.753429 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75516 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.743621 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00158 [2] validation_0-merror:0.3 validation_0-mlogloss:0.961454 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.933852 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909468 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.885406 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.866281 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.845067 [8] validation_0-merror:0.3 validation_0-mlogloss:0.824771 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.812252 [10] validation_0-merror:0.3 validation_0-mlogloss:0.803738 [11] validation_0-merror:0.3 validation_0-mlogloss:0.783573 [12] validation_0-merror:0.3 validation_0-mlogloss:0.776426 [13] validation_0-merror:0.3 validation_0-mlogloss:0.771485 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.762136 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.757048 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.754225 [17] validation_0-merror:0.25 validation_0-mlogloss:0.749914 [18] validation_0-merror:0.25 validation_0-mlogloss:0.740968 [19] validation_0-merror:0.25 validation_0-mlogloss:0.739172 [20] validation_0-merror:0.25 validation_0-mlogloss:0.729888 [21] validation_0-merror:0.25 validation_0-mlogloss:0.725133 [22] validation_0-merror:0.25 validation_0-mlogloss:0.720842 [23] validation_0-merror:0.25 validation_0-mlogloss:0.719221 [24] validation_0-merror:0.25 validation_0-mlogloss:0.714791 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.710302 [26] validation_0-merror:0.25 validation_0-mlogloss:0.708356 [27] validation_0-merror:0.25 validation_0-mlogloss:0.704926 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.706184 [29] validation_0-merror:0.25 validation_0-mlogloss:0.70491 [30] validation_0-merror:0.25 validation_0-mlogloss:0.704869 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.710401 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.712697 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.712795 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.710512 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.706761 Stopping. Best iteration: [30] validation_0-merror:0.25 validation_0-mlogloss:0.704869 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05296 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01308 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977539 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.947106 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.923994 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.906589 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885887 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868812 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852661 [9] validation_0-merror:0.35 validation_0-mlogloss:0.845071 [10] validation_0-merror:0.35 validation_0-mlogloss:0.835132 [11] validation_0-merror:0.35 validation_0-mlogloss:0.82225 [12] validation_0-merror:0.35 validation_0-mlogloss:0.819254 [13] validation_0-merror:0.35 validation_0-mlogloss:0.813208 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801969 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.799171 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795312 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793166 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78777 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.787837 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.790152 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.789259 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.794192 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.793844 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78777 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05508 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01244 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.984426 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950356 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.928273 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915629 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89134 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.873035 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.861341 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856379 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.850413 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.845057 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.838622 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.836566 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.832973 [15] validation_0-merror:0.35 validation_0-mlogloss:0.82799 [16] validation_0-merror:0.35 validation_0-mlogloss:0.825776 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.821767 [18] validation_0-merror:0.35 validation_0-mlogloss:0.824959 [19] validation_0-merror:0.35 validation_0-mlogloss:0.81856 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.817093 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.823179 [22] validation_0-merror:0.35 validation_0-mlogloss:0.823322 [23] validation_0-merror:0.35 validation_0-mlogloss:0.823271 [24] validation_0-merror:0.35 validation_0-mlogloss:0.827664 [25] validation_0-merror:0.35 validation_0-mlogloss:0.828087 Stopping. Best iteration: [20] validation_0-merror:0.333333 validation_0-mlogloss:0.817093 [0] validation_0-merror:0.3 validation_0-mlogloss:1.04383 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.997932 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.961889 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.933559 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.906488 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.888198 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.867822 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.84604 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.831242 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.810113 [10] validation_0-merror:0.25 validation_0-mlogloss:0.796425 [11] validation_0-merror:0.233333 validation_0-mlogloss:0.778217 [12] validation_0-merror:0.25 validation_0-mlogloss:0.768361 [13] validation_0-merror:0.25 validation_0-mlogloss:0.758572 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.751491 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.747874 [16] validation_0-merror:0.233333 validation_0-mlogloss:0.744402 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.74086 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.737553 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.733322 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.731093 [21] validation_0-merror:0.25 validation_0-mlogloss:0.727451 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.725446 [23] validation_0-merror:0.25 validation_0-mlogloss:0.723171 [24] validation_0-merror:0.25 validation_0-mlogloss:0.72063 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.715104 [26] validation_0-merror:0.25 validation_0-mlogloss:0.712433 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.713492 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.711982 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.713451 [30] validation_0-merror:0.25 validation_0-mlogloss:0.712882 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.714112 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717053 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.718318 Stopping. Best iteration: [28] validation_0-merror:0.233333 validation_0-mlogloss:0.711982 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00867 [2] validation_0-merror:0.35 validation_0-mlogloss:0.970271 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937487 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.910633 [5] validation_0-merror:0.35 validation_0-mlogloss:0.889477 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.870397 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.85695 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.843849 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83927 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830293 [11] validation_0-merror:0.3 validation_0-mlogloss:0.829406 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827866 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826273 [14] validation_0-merror:0.35 validation_0-mlogloss:0.825891 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.820824 [16] validation_0-merror:0.35 validation_0-mlogloss:0.817931 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.81389 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.814582 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.815414 [20] validation_0-merror:0.35 validation_0-mlogloss:0.818634 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.821368 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.818564 Stopping. Best iteration: [17] validation_0-merror:0.366667 validation_0-mlogloss:0.81389 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.056 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01552 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981788 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958191 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.940453 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.927074 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913927 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897339 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889953 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.880971 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.874427 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864283 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.860422 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.852742 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.852574 [15] validation_0-merror:0.4 validation_0-mlogloss:0.855957 [16] validation_0-merror:0.4 validation_0-mlogloss:0.853268 [17] validation_0-merror:0.4 validation_0-mlogloss:0.852658 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.857231 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.858744 Stopping. Best iteration: [14] validation_0-merror:0.383333 validation_0-mlogloss:0.852574 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04947 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00553 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977336 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.951687 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.924066 [5] validation_0-merror:0.35 validation_0-mlogloss:0.904254 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.882188 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.86946 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852671 [9] validation_0-merror:0.3 validation_0-mlogloss:0.83343 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.82633 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.816435 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811204 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.805077 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800349 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.79253 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787967 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.782339 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774533 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769648 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761291 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755051 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754357 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748436 [24] validation_0-merror:0.3 validation_0-mlogloss:0.741605 [25] validation_0-merror:0.3 validation_0-mlogloss:0.733158 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.731665 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72562 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721529 [29] validation_0-merror:0.3 validation_0-mlogloss:0.72263 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.719884 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718407 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.721089 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.718457 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718939 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.72194 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.723438 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718407 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06032 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.988841 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955698 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932145 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911741 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891594 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871476 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853343 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846667 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837344 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827123 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.826153 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82404 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.817185 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807658 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.802487 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.801189 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.800122 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.795893 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.793741 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.790913 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.792937 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.789256 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.788355 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.785125 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.781909 [27] validation_0-merror:0.35 validation_0-mlogloss:0.778912 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765777 [29] validation_0-merror:0.35 validation_0-mlogloss:0.76699 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.765884 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.767558 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.767409 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.762423 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.767279 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.772645 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.778555 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.783108 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.79418 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.762423 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05207 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01429 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98082 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94796 [4] validation_0-merror:0.3 validation_0-mlogloss:0.919262 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899765 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.882982 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870338 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858271 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843717 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842241 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826552 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811141 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805858 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.792001 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778667 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768846 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.754436 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.753262 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751248 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748574 [21] validation_0-merror:0.3 validation_0-mlogloss:0.746704 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.745372 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.743633 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745204 [25] validation_0-merror:0.3 validation_0-mlogloss:0.742283 [26] validation_0-merror:0.3 validation_0-mlogloss:0.739228 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738316 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740964 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.740175 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735498 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738792 [32] validation_0-merror:0.3 validation_0-mlogloss:0.738176 [33] validation_0-merror:0.3 validation_0-mlogloss:0.737545 [34] validation_0-merror:0.3 validation_0-mlogloss:0.73861 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.739746 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735498 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05096 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01106 [2] validation_0-merror:0.35 validation_0-mlogloss:0.973475 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945505 [4] validation_0-merror:0.35 validation_0-mlogloss:0.923294 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896848 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.871837 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.851728 [8] validation_0-merror:0.3 validation_0-mlogloss:0.832486 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.81566 [10] validation_0-merror:0.3 validation_0-mlogloss:0.805697 [11] validation_0-merror:0.3 validation_0-mlogloss:0.790315 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.778079 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.772674 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.765652 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.758938 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.753337 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.750513 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.744489 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.741413 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.735094 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.726285 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.723968 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.718472 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.714487 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.709467 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.707145 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.703139 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.70161 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.700689 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697589 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.700521 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.699304 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.69847 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699447 [35] validation_0-merror:0.3 validation_0-mlogloss:0.694658 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697654 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.696922 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695517 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692519 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691413 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.693321 [42] validation_0-merror:0.3 validation_0-mlogloss:0.691705 [43] validation_0-merror:0.3 validation_0-mlogloss:0.693273 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.696209 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696107 Stopping. Best iteration: [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691413 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04882 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01276 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976087 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.93306 [4] validation_0-merror:0.35 validation_0-mlogloss:0.90603 [5] validation_0-merror:0.35 validation_0-mlogloss:0.88968 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.872484 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.858018 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840818 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826934 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815086 [11] validation_0-merror:0.35 validation_0-mlogloss:0.807984 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803285 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801362 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790998 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786655 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780697 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777229 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773695 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769756 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771618 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766432 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.772809 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.773529 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.771152 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.772566 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.774863 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766432 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05499 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980287 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94259 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920393 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902448 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88143 [7] validation_0-merror:0.3 validation_0-mlogloss:0.860682 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847518 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842854 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833403 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830487 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816605 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809096 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796941 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791917 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781618 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778255 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776153 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769622 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762208 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764673 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760868 [23] validation_0-merror:0.35 validation_0-mlogloss:0.75956 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756259 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756044 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757303 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757171 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.75989 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.764537 [30] validation_0-merror:0.35 validation_0-mlogloss:0.769786 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756044 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05033 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00403 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97019 [3] validation_0-merror:0.3 validation_0-mlogloss:0.938746 [4] validation_0-merror:0.3 validation_0-mlogloss:0.911797 [5] validation_0-merror:0.3 validation_0-mlogloss:0.888072 [6] validation_0-merror:0.3 validation_0-mlogloss:0.870882 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.856059 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.844267 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.832302 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.822561 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.815001 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807475 [13] validation_0-merror:0.25 validation_0-mlogloss:0.80352 [14] validation_0-merror:0.25 validation_0-mlogloss:0.799014 [15] validation_0-merror:0.25 validation_0-mlogloss:0.794772 [16] validation_0-merror:0.25 validation_0-mlogloss:0.791904 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.787041 [18] validation_0-merror:0.25 validation_0-mlogloss:0.782845 [19] validation_0-merror:0.25 validation_0-mlogloss:0.778605 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.775875 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.777426 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.777797 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.77681 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.778773 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.775164 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.775654 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.77636 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.774397 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.776558 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.777125 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.778459 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.781972 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.782753 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.774397 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0487 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00843 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.971291 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939158 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914354 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.889863 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.87233 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.857484 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.844781 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.831165 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.816866 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804755 [12] validation_0-merror:0.35 validation_0-mlogloss:0.792368 [13] validation_0-merror:0.35 validation_0-mlogloss:0.78991 [14] validation_0-merror:0.35 validation_0-mlogloss:0.779112 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.779127 [16] validation_0-merror:0.35 validation_0-mlogloss:0.780104 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776303 [18] validation_0-merror:0.35 validation_0-mlogloss:0.773019 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76853 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.768077 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763761 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.76404 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.761005 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761589 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766841 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.766818 [27] validation_0-merror:0.35 validation_0-mlogloss:0.762689 [28] validation_0-merror:0.35 validation_0-mlogloss:0.768199 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.761005 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05117 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01084 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9787 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946094 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918618 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.895518 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.879318 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864116 [8] validation_0-merror:0.35 validation_0-mlogloss:0.854886 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847141 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837464 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.831974 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825115 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823359 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81944 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816653 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.814308 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.810681 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.805531 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.808022 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.808173 [21] validation_0-merror:0.35 validation_0-mlogloss:0.810313 [22] validation_0-merror:0.35 validation_0-mlogloss:0.812878 [23] validation_0-merror:0.35 validation_0-mlogloss:0.815283 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.805531 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00747 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977734 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947836 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925504 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906156 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885399 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868187 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853332 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838224 [10] validation_0-merror:0.35 validation_0-mlogloss:0.827196 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815209 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807541 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.798192 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791726 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.786309 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780615 [17] validation_0-merror:0.35 validation_0-mlogloss:0.777105 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769219 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.763994 [20] validation_0-merror:0.35 validation_0-mlogloss:0.755071 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750603 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.750132 [23] validation_0-merror:0.35 validation_0-mlogloss:0.742588 [24] validation_0-merror:0.35 validation_0-mlogloss:0.73466 [25] validation_0-merror:0.35 validation_0-mlogloss:0.730635 [26] validation_0-merror:0.35 validation_0-mlogloss:0.731557 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.727083 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.721151 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72212 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718706 [31] validation_0-merror:0.35 validation_0-mlogloss:0.717863 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.718236 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.716303 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.716847 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.715573 [36] validation_0-merror:0.35 validation_0-mlogloss:0.715294 [37] validation_0-merror:0.35 validation_0-mlogloss:0.720892 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716471 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711656 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.707143 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.701672 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702612 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702814 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705415 [45] validation_0-merror:0.3 validation_0-mlogloss:0.702063 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.703987 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.701672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02308 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987669 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955236 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929567 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909557 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.889041 [7] validation_0-merror:0.4 validation_0-mlogloss:0.875051 [8] validation_0-merror:0.4 validation_0-mlogloss:0.857099 [9] validation_0-merror:0.4 validation_0-mlogloss:0.850486 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841922 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828286 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824376 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81616 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810238 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799688 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79554 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796892 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.79134 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.783892 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.782956 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774207 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774224 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769441 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766224 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.765703 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.76108 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760148 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.750524 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.751095 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.753659 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.757774 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.75814 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.760795 Stopping. Best iteration: [28] validation_0-merror:0.383333 validation_0-mlogloss:0.750524 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992243 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959049 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938728 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.917539 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897967 [7] validation_0-merror:0.3 validation_0-mlogloss:0.884257 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8703 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.857669 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851198 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837314 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82365 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.817507 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.80316 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787273 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779193 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.771683 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769127 [19] validation_0-merror:0.3 validation_0-mlogloss:0.761675 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76496 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.765904 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765638 [23] validation_0-merror:0.3 validation_0-mlogloss:0.762557 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763497 Stopping. Best iteration: [19] validation_0-merror:0.3 validation_0-mlogloss:0.761675 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04859 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00834 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9766 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948351 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.926552 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908321 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.884491 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863991 [8] validation_0-merror:0.3 validation_0-mlogloss:0.846544 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.825147 [10] validation_0-merror:0.3 validation_0-mlogloss:0.816137 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.798503 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.788997 [13] validation_0-merror:0.3 validation_0-mlogloss:0.783859 [14] validation_0-merror:0.3 validation_0-mlogloss:0.776605 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.767633 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.759405 [17] validation_0-merror:0.3 validation_0-mlogloss:0.755749 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751231 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751766 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744844 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735345 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731755 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729964 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729561 [25] validation_0-merror:0.3 validation_0-mlogloss:0.729826 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728299 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72495 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.722609 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727568 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.721506 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.725001 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.724874 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.726325 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.726514 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.728045 Stopping. Best iteration: [30] validation_0-merror:0.283333 validation_0-mlogloss:0.721506 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01062 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.972524 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.935805 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.91625 [5] validation_0-merror:0.4 validation_0-mlogloss:0.903947 [6] validation_0-merror:0.4 validation_0-mlogloss:0.882398 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.864606 [8] validation_0-merror:0.4 validation_0-mlogloss:0.852082 [9] validation_0-merror:0.4 validation_0-mlogloss:0.840837 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.826482 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.818632 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.813045 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.802828 [14] validation_0-merror:0.4 validation_0-mlogloss:0.789409 [15] validation_0-merror:0.4 validation_0-mlogloss:0.785587 [16] validation_0-merror:0.4 validation_0-mlogloss:0.779679 [17] validation_0-merror:0.4 validation_0-mlogloss:0.775464 [18] validation_0-merror:0.4 validation_0-mlogloss:0.770281 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.767019 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766895 [21] validation_0-merror:0.4 validation_0-mlogloss:0.766608 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775103 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.772863 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.772347 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.773474 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.771324 Stopping. Best iteration: [21] validation_0-merror:0.4 validation_0-mlogloss:0.766608 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05065 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01409 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980753 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.947079 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.926417 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.909398 [6] validation_0-merror:0.3 validation_0-mlogloss:0.885334 [7] validation_0-merror:0.3 validation_0-mlogloss:0.866714 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.853053 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847259 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839867 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835959 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828489 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.827586 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.821169 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.812684 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.802406 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.796569 [18] validation_0-merror:0.3 validation_0-mlogloss:0.794801 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.785603 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.779985 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.778237 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.773466 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.772709 [24] validation_0-merror:0.3 validation_0-mlogloss:0.773863 [25] validation_0-merror:0.3 validation_0-mlogloss:0.776661 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.777641 [27] validation_0-merror:0.35 validation_0-mlogloss:0.776978 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.777934 Stopping. Best iteration: [23] validation_0-merror:0.283333 validation_0-mlogloss:0.772709 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04541 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.0013 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.964908 [3] validation_0-merror:0.3 validation_0-mlogloss:0.934807 [4] validation_0-merror:0.3 validation_0-mlogloss:0.90943 [5] validation_0-merror:0.3 validation_0-mlogloss:0.886282 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.867652 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849829 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.835961 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.823355 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.816177 [11] validation_0-merror:0.3 validation_0-mlogloss:0.807649 [12] validation_0-merror:0.3 validation_0-mlogloss:0.801167 [13] validation_0-merror:0.3 validation_0-mlogloss:0.792106 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786666 [15] validation_0-merror:0.3 validation_0-mlogloss:0.774716 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.767754 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762979 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759807 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756962 [20] validation_0-merror:0.3 validation_0-mlogloss:0.754257 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750541 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745057 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743696 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.739263 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.737907 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.732083 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726869 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.725525 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.725421 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.727271 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730718 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.729024 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.730743 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.729949 Stopping. Best iteration: [29] validation_0-merror:0.283333 validation_0-mlogloss:0.725421 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05025 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00749 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969765 [3] validation_0-merror:0.35 validation_0-mlogloss:0.941421 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.916562 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898818 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878267 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86224 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846819 [9] validation_0-merror:0.35 validation_0-mlogloss:0.834451 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823718 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815189 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804254 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798531 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793357 [15] validation_0-merror:0.35 validation_0-mlogloss:0.788992 [16] validation_0-merror:0.35 validation_0-mlogloss:0.781571 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779712 [18] validation_0-merror:0.35 validation_0-mlogloss:0.778963 [19] validation_0-merror:0.35 validation_0-mlogloss:0.776663 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774057 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.772904 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.771757 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.771716 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.772392 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.769545 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.770398 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770097 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.772705 [29] validation_0-merror:0.3 validation_0-mlogloss:0.771131 [30] validation_0-merror:0.3 validation_0-mlogloss:0.770275 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.769545 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0071 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.973316 [3] validation_0-merror:0.35 validation_0-mlogloss:0.943695 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.9177 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902202 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882321 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865125 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85009 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.838995 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82926 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824039 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.816882 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815147 [14] validation_0-merror:0.3 validation_0-mlogloss:0.810264 [15] validation_0-merror:0.3 validation_0-mlogloss:0.807404 [16] validation_0-merror:0.3 validation_0-mlogloss:0.808332 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.805281 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.801663 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.803856 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.805829 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.805776 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.808855 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.80833 Stopping. Best iteration: [18] validation_0-merror:0.316667 validation_0-mlogloss:0.801663 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977814 [3] validation_0-merror:0.4 validation_0-mlogloss:0.948691 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925945 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906368 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886182 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869409 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.857609 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83987 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829848 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.819345 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810601 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803902 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798318 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791527 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777297 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773643 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767045 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763909 [20] validation_0-merror:0.35 validation_0-mlogloss:0.753584 [21] validation_0-merror:0.35 validation_0-mlogloss:0.749741 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.744897 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.733714 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.726355 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7213 [27] validation_0-merror:0.3 validation_0-mlogloss:0.712233 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.711828 [29] validation_0-merror:0.3 validation_0-mlogloss:0.714174 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714438 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715686 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.714256 [33] validation_0-merror:0.3 validation_0-mlogloss:0.71467 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.711828 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990128 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.958193 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935676 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.91608 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895604 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880746 [8] validation_0-merror:0.4 validation_0-mlogloss:0.860935 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851908 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842124 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828691 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824846 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816596 [14] validation_0-merror:0.4 validation_0-mlogloss:0.808577 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802243 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791884 [17] validation_0-merror:0.4 validation_0-mlogloss:0.791668 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.789836 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784405 [20] validation_0-merror:0.4 validation_0-mlogloss:0.776881 [21] validation_0-merror:0.4 validation_0-mlogloss:0.771975 [22] validation_0-merror:0.4 validation_0-mlogloss:0.770822 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767852 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764292 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.767397 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76115 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759676 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.757717 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756084 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755985 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.756139 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.756446 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754381 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.761387 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.765505 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.767614 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.769976 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.778622 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754381 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.997179 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965391 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943652 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924236 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.907506 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.893045 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877784 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866659 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.859102 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.848093 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83245 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82499 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.817222 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806987 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.800033 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.793475 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792691 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.789842 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.789228 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783113 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.781744 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774605 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772362 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.770567 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.763587 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.762551 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.759789 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759369 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751793 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.749419 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.751023 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.750046 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.74927 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.749068 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.749995 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.747176 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.749167 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.745133 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.741991 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.738269 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.741981 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.739637 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.737855 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.73611 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.739046 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.74095 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.740306 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.738132 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.738674 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.73611 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01042 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978708 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951454 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931799 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.91313 [6] validation_0-merror:0.35 validation_0-mlogloss:0.8903 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868866 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847935 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831155 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.819834 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.805605 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.793244 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.785704 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.782108 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.772394 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.763382 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.760594 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.757068 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.75453 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745003 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.738835 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.732727 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.726347 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.721147 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.721078 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.72004 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714299 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.712834 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.715924 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714267 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.713715 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.713264 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.71191 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.714077 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.710288 [36] validation_0-merror:0.3 validation_0-mlogloss:0.71389 [37] validation_0-merror:0.3 validation_0-mlogloss:0.710775 [38] validation_0-merror:0.3 validation_0-mlogloss:0.709101 [39] validation_0-merror:0.3 validation_0-mlogloss:0.709131 [40] validation_0-merror:0.3 validation_0-mlogloss:0.709681 [41] validation_0-merror:0.3 validation_0-mlogloss:0.708438 [42] validation_0-merror:0.3 validation_0-mlogloss:0.707077 [43] validation_0-merror:0.3 validation_0-mlogloss:0.707963 [44] validation_0-merror:0.3 validation_0-mlogloss:0.710308 [45] validation_0-merror:0.3 validation_0-mlogloss:0.710622 [46] validation_0-merror:0.3 validation_0-mlogloss:0.709752 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711874 Stopping. Best iteration: [42] validation_0-merror:0.3 validation_0-mlogloss:0.707077 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01591 [2] validation_0-merror:0.35 validation_0-mlogloss:0.981423 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.947044 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921537 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903831 [6] validation_0-merror:0.4 validation_0-mlogloss:0.886638 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.876348 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865039 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853282 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836329 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827599 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.820723 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81138 [14] validation_0-merror:0.4 validation_0-mlogloss:0.796457 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.793458 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.787912 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78164 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777463 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769982 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.770931 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769551 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774526 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770938 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77309 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.777293 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.775712 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769551 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.95443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937296 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922669 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901698 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883259 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876664 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.869999 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.865973 [11] validation_0-merror:0.3 validation_0-mlogloss:0.857893 [12] validation_0-merror:0.3 validation_0-mlogloss:0.850168 [13] validation_0-merror:0.3 validation_0-mlogloss:0.84472 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.828776 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.81807 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.807796 [17] validation_0-merror:0.3 validation_0-mlogloss:0.80311 [18] validation_0-merror:0.3 validation_0-mlogloss:0.799438 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.79002 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.784252 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.781031 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.774937 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774948 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.774254 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772944 [26] validation_0-merror:0.35 validation_0-mlogloss:0.770826 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.769861 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.77287 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.774038 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.778069 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.778443 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.774954 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.769861 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05014 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0133 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983256 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956482 [4] validation_0-merror:0.4 validation_0-mlogloss:0.932624 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91368 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898534 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.884716 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.872342 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861998 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852451 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.841035 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832808 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827212 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.821511 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.814138 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.809418 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.803656 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799248 [19] validation_0-merror:0.3 validation_0-mlogloss:0.794544 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.790952 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.787319 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783198 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.782771 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779633 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.774207 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.772366 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.768615 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.767634 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.765213 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.763331 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.761308 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.761795 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.760458 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.760788 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.76028 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.75903 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.761482 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.75884 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.760293 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.758967 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.760164 [42] validation_0-merror:0.3 validation_0-mlogloss:0.763776 [43] validation_0-merror:0.3 validation_0-mlogloss:0.76391 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.75884 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9234 [5] validation_0-merror:0.4 validation_0-mlogloss:0.905212 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885944 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869281 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852799 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.839679 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830193 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826324 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.818599 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.815348 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810432 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806565 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.80232 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802003 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.798638 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.79505 [20] validation_0-merror:0.35 validation_0-mlogloss:0.796015 [21] validation_0-merror:0.35 validation_0-mlogloss:0.790111 [22] validation_0-merror:0.35 validation_0-mlogloss:0.787533 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.78534 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.781805 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.780259 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781502 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.781016 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778831 [29] validation_0-merror:0.35 validation_0-mlogloss:0.783275 [30] validation_0-merror:0.35 validation_0-mlogloss:0.783392 [31] validation_0-merror:0.35 validation_0-mlogloss:0.784541 [32] validation_0-merror:0.35 validation_0-mlogloss:0.787987 [33] validation_0-merror:0.35 validation_0-mlogloss:0.786919 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778831 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952651 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933096 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910312 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895118 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.879028 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866283 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855852 [10] validation_0-merror:0.3 validation_0-mlogloss:0.84804 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834578 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828623 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820841 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818499 [15] validation_0-merror:0.3 validation_0-mlogloss:0.822046 [16] validation_0-merror:0.3 validation_0-mlogloss:0.823196 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.815852 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.809894 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80793 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.804756 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.803303 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.801119 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.799194 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.794947 [25] validation_0-merror:0.3 validation_0-mlogloss:0.792568 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.791647 [27] validation_0-merror:0.3 validation_0-mlogloss:0.788428 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.788472 [29] validation_0-merror:0.3 validation_0-mlogloss:0.782444 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.782082 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.775762 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.773253 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.768725 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.767911 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.765129 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.765852 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.76615 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.769216 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.766453 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.771737 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.765129 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904816 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885702 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869619 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855528 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837976 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824725 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816801 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808629 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797647 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793597 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786293 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775781 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769306 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761783 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748966 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744575 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.741343 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734208 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.726232 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.720445 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.720323 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.714285 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.711196 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.709033 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709399 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70917 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708785 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707934 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.710115 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.713005 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06472 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993479 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959867 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936457 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91703 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896423 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881522 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862467 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853431 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842836 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830309 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.826137 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817362 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809089 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80205 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790312 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786761 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783076 [19] validation_0-merror:0.4 validation_0-mlogloss:0.77771 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772962 [21] validation_0-merror:0.4 validation_0-mlogloss:0.764817 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76327 [23] validation_0-merror:0.4 validation_0-mlogloss:0.760614 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758229 [25] validation_0-merror:0.4 validation_0-mlogloss:0.762286 [26] validation_0-merror:0.4 validation_0-mlogloss:0.754891 [27] validation_0-merror:0.4 validation_0-mlogloss:0.751623 [28] validation_0-merror:0.4 validation_0-mlogloss:0.75057 [29] validation_0-merror:0.4 validation_0-mlogloss:0.747353 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749661 [31] validation_0-merror:0.4 validation_0-mlogloss:0.751536 [32] validation_0-merror:0.4 validation_0-mlogloss:0.748193 [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [34] validation_0-merror:0.4 validation_0-mlogloss:0.748897 [35] validation_0-merror:0.4 validation_0-mlogloss:0.752565 [36] validation_0-merror:0.4 validation_0-mlogloss:0.753208 [37] validation_0-merror:0.4 validation_0-mlogloss:0.754637 [38] validation_0-merror:0.4 validation_0-mlogloss:0.762425 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945141 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925114 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908511 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.894312 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.878199 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862619 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.856526 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843916 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828743 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822225 [14] validation_0-merror:0.35 validation_0-mlogloss:0.8102 [15] validation_0-merror:0.35 validation_0-mlogloss:0.801372 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794555 [17] validation_0-merror:0.35 validation_0-mlogloss:0.785417 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785101 [19] validation_0-merror:0.35 validation_0-mlogloss:0.777503 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77713 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773207 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767143 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760301 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75563 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752391 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749943 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74842 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745236 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742676 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739497 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737564 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736347 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.734216 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731766 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.735905 [37] validation_0-merror:0.35 validation_0-mlogloss:0.732356 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.735569 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732293 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979138 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.928139 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906804 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88449 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86616 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846423 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829971 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.817639 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804522 [12] validation_0-merror:0.3 validation_0-mlogloss:0.794603 [13] validation_0-merror:0.3 validation_0-mlogloss:0.787243 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.780866 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.769702 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761635 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7605 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752951 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750319 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.741676 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739845 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733613 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725743 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72178 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.718768 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716716 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712547 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.709257 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709168 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706983 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705847 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704941 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70678 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706968 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705085 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70419 [37] validation_0-merror:0.3 validation_0-mlogloss:0.70861 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.70615 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.704418 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.704828 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.703808 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701346 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.703931 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.701579 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.701446 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.702661 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.703029 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984397 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953788 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930788 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914746 [6] validation_0-merror:0.4 validation_0-mlogloss:0.899766 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.888898 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.876851 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.861386 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.847849 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840007 [12] validation_0-merror:0.4 validation_0-mlogloss:0.831393 [13] validation_0-merror:0.4 validation_0-mlogloss:0.82198 [14] validation_0-merror:0.4 validation_0-mlogloss:0.814526 [15] validation_0-merror:0.4 validation_0-mlogloss:0.810371 [16] validation_0-merror:0.4 validation_0-mlogloss:0.803497 [17] validation_0-merror:0.4 validation_0-mlogloss:0.796845 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790139 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787124 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.785787 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.780292 [22] validation_0-merror:0.4 validation_0-mlogloss:0.781966 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776749 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778089 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.779684 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.771768 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.77183 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.772561 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.772268 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.772562 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774144 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.92368 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90348 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885852 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875063 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867492 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85298 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843626 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832658 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827671 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819471 [15] validation_0-merror:0.3 validation_0-mlogloss:0.814867 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.811693 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.808987 [18] validation_0-merror:0.3 validation_0-mlogloss:0.8037 [19] validation_0-merror:0.3 validation_0-mlogloss:0.79 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.787315 [21] validation_0-merror:0.3 validation_0-mlogloss:0.788292 [22] validation_0-merror:0.3 validation_0-mlogloss:0.781994 [23] validation_0-merror:0.3 validation_0-mlogloss:0.77641 [24] validation_0-merror:0.3 validation_0-mlogloss:0.777675 [25] validation_0-merror:0.3 validation_0-mlogloss:0.778229 [26] validation_0-merror:0.3 validation_0-mlogloss:0.772706 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771505 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.774441 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.771279 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770089 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.766873 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.764292 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.762754 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.76498 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.765435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.768553 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.766406 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.767547 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0094 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976195 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949984 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926895 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908808 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890474 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.876851 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863943 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.851946 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842725 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832426 [12] validation_0-merror:0.35 validation_0-mlogloss:0.821341 [13] validation_0-merror:0.35 validation_0-mlogloss:0.813316 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803373 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.794421 [16] validation_0-merror:0.35 validation_0-mlogloss:0.786725 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785248 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782616 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781162 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779932 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77772 [22] validation_0-merror:0.35 validation_0-mlogloss:0.772214 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76744 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765569 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760588 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757808 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753743 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747356 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.745125 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745138 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.740416 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.738363 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7383 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.74023 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.741288 [36] validation_0-merror:0.3 validation_0-mlogloss:0.740581 [37] validation_0-merror:0.3 validation_0-mlogloss:0.742528 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.740187 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7383 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00777 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974468 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946731 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.922626 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900372 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880581 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86368 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.84858 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83758 [10] validation_0-merror:0.35 validation_0-mlogloss:0.831091 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819876 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.815055 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81161 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.805202 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799387 [16] validation_0-merror:0.4 validation_0-mlogloss:0.792132 [17] validation_0-merror:0.4 validation_0-mlogloss:0.785607 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.784343 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779798 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777373 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.775602 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.775509 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.774899 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.770939 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.770601 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.767107 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.768662 [28] validation_0-merror:0.4 validation_0-mlogloss:0.768873 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.770318 [30] validation_0-merror:0.4 validation_0-mlogloss:0.772811 [31] validation_0-merror:0.4 validation_0-mlogloss:0.775838 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.767107 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908606 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.890932 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878532 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864788 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857584 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844756 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839085 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832056 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823518 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821161 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82042 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.816164 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.814642 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.812013 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807397 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.809855 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.807941 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.801867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.798814 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.79467 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795117 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.793086 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.791937 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.788345 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.784145 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.781864 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.783112 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783899 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.78128 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.778896 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.779199 [36] validation_0-merror:0.3 validation_0-mlogloss:0.777245 [37] validation_0-merror:0.3 validation_0-mlogloss:0.776003 [38] validation_0-merror:0.3 validation_0-mlogloss:0.774101 [39] validation_0-merror:0.3 validation_0-mlogloss:0.772467 [40] validation_0-merror:0.3 validation_0-mlogloss:0.771301 [41] validation_0-merror:0.3 validation_0-mlogloss:0.769494 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.76913 [43] validation_0-merror:0.3 validation_0-mlogloss:0.76864 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767885 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.769557 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.770657 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.772398 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.772561 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.773818 Stopping. Best iteration: [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767885 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957115 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929859 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905851 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888176 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854842 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838351 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825383 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818343 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809114 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800187 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.796101 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783523 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774648 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768477 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759393 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75312 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743264 [21] validation_0-merror:0.3 validation_0-mlogloss:0.736893 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729102 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.719469 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.701822 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.701675 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.696663 [28] validation_0-merror:0.35 validation_0-mlogloss:0.696811 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.693123 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.688304 [31] validation_0-merror:0.35 validation_0-mlogloss:0.689149 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.684381 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.685186 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.68133 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.678311 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.678331 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.67878 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.675015 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.671845 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.669329 [41] validation_0-merror:0.3 validation_0-mlogloss:0.663723 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664467 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.662241 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660093 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.656495 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.65519 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.65681 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.654366 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.654751 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.655653 [51] validation_0-merror:0.3 validation_0-mlogloss:0.651478 [52] validation_0-merror:0.3 validation_0-mlogloss:0.648288 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.649262 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.652141 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.653231 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.654277 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.647026 [58] validation_0-merror:0.3 validation_0-mlogloss:0.649518 [59] validation_0-merror:0.3 validation_0-mlogloss:0.647885 [60] validation_0-merror:0.3 validation_0-mlogloss:0.65049 [61] validation_0-merror:0.3 validation_0-mlogloss:0.650453 [62] validation_0-merror:0.3 validation_0-mlogloss:0.652522 Stopping. Best iteration: [57] validation_0-merror:0.283333 validation_0-mlogloss:0.647026 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02924 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998867 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968215 [4] validation_0-merror:0.45 validation_0-mlogloss:0.946872 [5] validation_0-merror:0.4 validation_0-mlogloss:0.927865 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.907934 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892604 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880674 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870436 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859464 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.84625 [12] validation_0-merror:0.4 validation_0-mlogloss:0.840151 [13] validation_0-merror:0.4 validation_0-mlogloss:0.830857 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816999 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.810504 [16] validation_0-merror:0.4 validation_0-mlogloss:0.802098 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79624 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.787716 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778166 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772927 [21] validation_0-merror:0.4 validation_0-mlogloss:0.764104 [22] validation_0-merror:0.4 validation_0-mlogloss:0.763044 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759024 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755973 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.761986 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754795 [27] validation_0-merror:0.35 validation_0-mlogloss:0.750732 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749809 [29] validation_0-merror:0.35 validation_0-mlogloss:0.74242 [30] validation_0-merror:0.35 validation_0-mlogloss:0.741958 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737385 [32] validation_0-merror:0.35 validation_0-mlogloss:0.732051 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.731794 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.725309 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.727419 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.726778 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.726563 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.734841 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.735561 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.725309 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02765 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996339 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864545 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847237 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834271 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822873 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807569 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801118 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785143 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768871 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.75938 [17] validation_0-merror:0.3 validation_0-mlogloss:0.74955 [18] validation_0-merror:0.3 validation_0-mlogloss:0.750431 [19] validation_0-merror:0.3 validation_0-mlogloss:0.739634 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.738191 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.732853 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728853 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723921 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722357 [25] validation_0-merror:0.3 validation_0-mlogloss:0.72415 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716383 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71087 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703113 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694593 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689451 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68858 [32] validation_0-merror:0.3 validation_0-mlogloss:0.685367 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68187 [34] validation_0-merror:0.3 validation_0-mlogloss:0.680133 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679213 [36] validation_0-merror:0.3 validation_0-mlogloss:0.677987 [37] validation_0-merror:0.3 validation_0-mlogloss:0.675326 [38] validation_0-merror:0.3 validation_0-mlogloss:0.673909 [39] validation_0-merror:0.3 validation_0-mlogloss:0.668847 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.668372 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.662258 [42] validation_0-merror:0.3 validation_0-mlogloss:0.662003 [43] validation_0-merror:0.3 validation_0-mlogloss:0.659683 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.658672 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.653564 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.653557 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.653066 [48] validation_0-merror:0.25 validation_0-mlogloss:0.651503 [49] validation_0-merror:0.25 validation_0-mlogloss:0.651797 [50] validation_0-merror:0.25 validation_0-mlogloss:0.656215 [51] validation_0-merror:0.25 validation_0-mlogloss:0.657541 [52] validation_0-merror:0.25 validation_0-mlogloss:0.654522 [53] validation_0-merror:0.25 validation_0-mlogloss:0.651517 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.651503 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992161 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962494 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94413 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921344 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901077 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882455 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865987 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846305 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835279 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818134 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803937 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794254 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787522 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777202 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769518 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764631 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.7581 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753806 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745183 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738167 [22] validation_0-merror:0.3 validation_0-mlogloss:0.727273 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719809 [24] validation_0-merror:0.3 validation_0-mlogloss:0.713421 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709781 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706206 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.70193 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696901 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.696183 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.690759 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.687328 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.686636 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.686358 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684292 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.680383 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.680211 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.679248 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.676703 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.674226 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.671149 [41] validation_0-merror:0.3 validation_0-mlogloss:0.667309 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666099 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.665564 [44] validation_0-merror:0.3 validation_0-mlogloss:0.660601 [45] validation_0-merror:0.3 validation_0-mlogloss:0.657992 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.660141 [47] validation_0-merror:0.3 validation_0-mlogloss:0.660985 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660841 [49] validation_0-merror:0.3 validation_0-mlogloss:0.662777 [50] validation_0-merror:0.3 validation_0-mlogloss:0.664099 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.657992 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02448 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994924 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960939 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941183 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.925108 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907552 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.896485 [8] validation_0-merror:0.4 validation_0-mlogloss:0.88438 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873334 [10] validation_0-merror:0.4 validation_0-mlogloss:0.860382 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.851408 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.8405 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829363 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816939 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806767 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798822 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794398 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786158 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778936 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.773135 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765788 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768603 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766761 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.764597 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763263 [26] validation_0-merror:0.35 validation_0-mlogloss:0.757073 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752893 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754343 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752283 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.750954 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750776 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748013 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746414 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743148 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738242 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.736003 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733307 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.73664 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.731382 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.731966 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733004 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.734455 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.728087 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.730862 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.731554 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.732236 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.733114 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.736586 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.728087 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00355 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976736 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936879 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91662 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901942 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886389 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875851 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.869907 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86255 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846275 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830407 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810539 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802893 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793209 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786104 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771629 [20] validation_0-merror:0.3 validation_0-mlogloss:0.76559 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762908 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.760202 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751333 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.746916 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742558 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736586 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.73163 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729952 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727385 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.723876 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.72135 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.718623 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.716094 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.713895 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.712712 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.706058 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.702776 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699301 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699283 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697936 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.694498 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.694953 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.691752 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.690759 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.688838 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.689425 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.689667 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.690963 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.690294 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.686061 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.684748 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.68395 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.68365 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.683075 [55] validation_0-merror:0.3 validation_0-mlogloss:0.679979 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677096 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.679224 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.682733 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.680019 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.678836 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.681351 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677096 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98389 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933361 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894458 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875597 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829378 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820117 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809333 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790178 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774166 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753279 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745298 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741313 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73474 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726765 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722875 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72224 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716456 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712324 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707787 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703209 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701821 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698117 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694443 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694261 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691714 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.68746 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683554 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683267 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683492 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.681587 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682911 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681791 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680038 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.681585 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682517 [47] validation_0-merror:0.3 validation_0-mlogloss:0.684728 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.684018 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684835 Stopping. Best iteration: [44] validation_0-merror:0.3 validation_0-mlogloss:0.680038 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01987 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990724 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963656 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941415 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923077 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907852 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892961 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878687 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854829 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83503 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825436 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819627 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809435 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801614 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792741 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.7928 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787746 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782828 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776984 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.773407 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770456 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767431 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763838 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756227 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75178 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748989 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74647 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74224 [31] validation_0-merror:0.35 validation_0-mlogloss:0.740189 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736037 [33] validation_0-merror:0.35 validation_0-mlogloss:0.731566 [34] validation_0-merror:0.35 validation_0-mlogloss:0.728776 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727354 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724038 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721929 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.719591 [40] validation_0-merror:0.35 validation_0-mlogloss:0.719946 [41] validation_0-merror:0.35 validation_0-mlogloss:0.719262 [42] validation_0-merror:0.35 validation_0-mlogloss:0.717498 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718157 [44] validation_0-merror:0.35 validation_0-mlogloss:0.719328 [45] validation_0-merror:0.35 validation_0-mlogloss:0.717529 [46] validation_0-merror:0.35 validation_0-mlogloss:0.716041 [47] validation_0-merror:0.35 validation_0-mlogloss:0.714319 [48] validation_0-merror:0.35 validation_0-mlogloss:0.713434 [49] validation_0-merror:0.35 validation_0-mlogloss:0.713208 [50] validation_0-merror:0.35 validation_0-mlogloss:0.711666 [51] validation_0-merror:0.35 validation_0-mlogloss:0.710018 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709432 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.708505 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.707427 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.708658 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.707738 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.70808 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.706968 [60] validation_0-merror:0.333333 validation_0-mlogloss:0.708591 [61] validation_0-merror:0.333333 validation_0-mlogloss:0.707696 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.707573 [63] validation_0-merror:0.333333 validation_0-mlogloss:0.708077 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05916 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02611 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994486 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950669 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918517 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901938 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.878065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865067 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8564 [12] validation_0-merror:0.35 validation_0-mlogloss:0.846713 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839065 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.832761 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819538 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813601 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806633 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.797196 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.792266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783326 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774413 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77261 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.769116 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765775 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763464 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758327 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75391 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74693 [31] validation_0-merror:0.3 validation_0-mlogloss:0.743617 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740483 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738451 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734002 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731865 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726533 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722681 [38] validation_0-merror:0.3 validation_0-mlogloss:0.719912 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716573 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71453 [41] validation_0-merror:0.3 validation_0-mlogloss:0.713273 [42] validation_0-merror:0.3 validation_0-mlogloss:0.709358 [43] validation_0-merror:0.3 validation_0-mlogloss:0.706643 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705896 [45] validation_0-merror:0.3 validation_0-mlogloss:0.704493 [46] validation_0-merror:0.3 validation_0-mlogloss:0.703768 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.699454 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.696421 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.695243 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.693727 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.69218 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690546 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.689929 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.689589 [55] validation_0-merror:0.3 validation_0-mlogloss:0.686808 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.685998 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.68354 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.683142 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680283 [60] validation_0-merror:0.3 validation_0-mlogloss:0.679155 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.679212 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.679036 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.677627 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.677984 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.674838 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.673503 [67] validation_0-merror:0.3 validation_0-mlogloss:0.673549 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.673081 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.672746 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.672723 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.672991 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.672769 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.670048 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.667758 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.668514 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.666152 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.666564 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.667724 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.66833 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.666967 [81] validation_0-merror:0.266667 validation_0-mlogloss:0.666168 Stopping. Best iteration: [76] validation_0-merror:0.266667 validation_0-mlogloss:0.666152 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05469 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01474 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983393 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.959914 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936107 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913957 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893557 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.877937 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860006 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838192 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826561 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.821562 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811749 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803915 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798889 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78568 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774391 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767423 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758294 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.751977 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.74315 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.7364 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.73135 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.722905 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713394 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.705596 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.705083 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.697506 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.693404 [29] validation_0-merror:0.3 validation_0-mlogloss:0.688204 [30] validation_0-merror:0.3 validation_0-mlogloss:0.682067 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.683431 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.681909 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.682515 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.678864 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.675834 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.675963 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.677072 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.675313 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675328 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.672816 [41] validation_0-merror:0.3 validation_0-mlogloss:0.667798 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665106 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665414 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660543 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.657811 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.656979 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.65635 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.655825 [49] validation_0-merror:0.3 validation_0-mlogloss:0.656658 [50] validation_0-merror:0.3 validation_0-mlogloss:0.658644 [51] validation_0-merror:0.3 validation_0-mlogloss:0.657335 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.654137 [53] validation_0-merror:0.3 validation_0-mlogloss:0.656753 [54] validation_0-merror:0.3 validation_0-mlogloss:0.661192 [55] validation_0-merror:0.3 validation_0-mlogloss:0.663779 [56] validation_0-merror:0.3 validation_0-mlogloss:0.665208 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.656982 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.654137 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.483333 validation_0-mlogloss:1.02837 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.997974 [3] validation_0-merror:0.45 validation_0-mlogloss:0.967403 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.944045 [5] validation_0-merror:0.4 validation_0-mlogloss:0.92508 [6] validation_0-merror:0.4 validation_0-mlogloss:0.90623 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891002 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87897 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.866889 [10] validation_0-merror:0.433333 validation_0-mlogloss:0.85519 [11] validation_0-merror:0.433333 validation_0-mlogloss:0.842911 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.837091 [13] validation_0-merror:0.433333 validation_0-mlogloss:0.829209 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.81677 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.811127 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.804683 [17] validation_0-merror:0.4 validation_0-mlogloss:0.795114 [18] validation_0-merror:0.4 validation_0-mlogloss:0.786997 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.777286 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772634 [21] validation_0-merror:0.4 validation_0-mlogloss:0.763998 [22] validation_0-merror:0.4 validation_0-mlogloss:0.761021 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755957 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752442 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.756491 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.749126 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.74738 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741312 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.733454 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.732614 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.729733 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.725995 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.723812 [34] validation_0-merror:0.35 validation_0-mlogloss:0.717484 [35] validation_0-merror:0.35 validation_0-mlogloss:0.721375 [36] validation_0-merror:0.35 validation_0-mlogloss:0.721658 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.720981 [38] validation_0-merror:0.35 validation_0-mlogloss:0.729151 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.730435 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.717484 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02834 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997193 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968909 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941446 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9212 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896138 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883301 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866173 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852757 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840416 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827612 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812442 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.807327 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.79176 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.778411 [16] validation_0-merror:0.3 validation_0-mlogloss:0.76836 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.756096 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.751742 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.742575 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.739662 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74055 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736928 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730664 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728729 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.731572 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721724 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.715733 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708307 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701156 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697045 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.695986 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.692761 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.690291 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.689789 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.689219 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688305 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688002 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688806 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684595 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681818 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.677334 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.677969 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.673572 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.673173 [45] validation_0-merror:0.25 validation_0-mlogloss:0.667719 [46] validation_0-merror:0.25 validation_0-mlogloss:0.667379 [47] validation_0-merror:0.25 validation_0-mlogloss:0.666449 [48] validation_0-merror:0.25 validation_0-mlogloss:0.664558 [49] validation_0-merror:0.25 validation_0-mlogloss:0.666026 [50] validation_0-merror:0.25 validation_0-mlogloss:0.67036 [51] validation_0-merror:0.25 validation_0-mlogloss:0.671899 [52] validation_0-merror:0.25 validation_0-mlogloss:0.670546 [53] validation_0-merror:0.25 validation_0-mlogloss:0.668239 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.664558 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987607 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957727 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938391 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915381 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89566 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877049 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862081 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844777 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815798 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80223 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791698 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783859 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773604 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766649 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763302 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753992 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.748354 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741825 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732602 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72137 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.715706 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708249 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.70504 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.701975 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697202 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690664 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689734 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.684572 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683788 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.679564 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679379 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.677214 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671562 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671788 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668918 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665225 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662564 [40] validation_0-merror:0.3 validation_0-mlogloss:0.662443 [41] validation_0-merror:0.3 validation_0-mlogloss:0.6587 [42] validation_0-merror:0.3 validation_0-mlogloss:0.656768 [43] validation_0-merror:0.3 validation_0-mlogloss:0.656312 [44] validation_0-merror:0.3 validation_0-mlogloss:0.652264 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651709 [46] validation_0-merror:0.3 validation_0-mlogloss:0.653617 [47] validation_0-merror:0.3 validation_0-mlogloss:0.651831 [48] validation_0-merror:0.3 validation_0-mlogloss:0.653809 [49] validation_0-merror:0.3 validation_0-mlogloss:0.652656 [50] validation_0-merror:0.3 validation_0-mlogloss:0.651035 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654859 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649565 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.653481 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.655075 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.65451 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.653339 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.650875 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649565 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02395 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959635 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.939869 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.922923 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901291 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890537 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865606 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840965 [12] validation_0-merror:0.4 validation_0-mlogloss:0.829966 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820024 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809458 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801079 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.796013 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.791495 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785121 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778864 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.770789 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76348 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763535 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76156 [24] validation_0-merror:0.35 validation_0-mlogloss:0.759288 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758989 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753005 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748825 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748786 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747033 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746068 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.744289 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.741794 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.739141 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.736612 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.733932 [36] validation_0-merror:0.35 validation_0-mlogloss:0.731442 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726866 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730994 [39] validation_0-merror:0.35 validation_0-mlogloss:0.726674 [40] validation_0-merror:0.35 validation_0-mlogloss:0.727469 [41] validation_0-merror:0.35 validation_0-mlogloss:0.72919 [42] validation_0-merror:0.35 validation_0-mlogloss:0.728371 [43] validation_0-merror:0.35 validation_0-mlogloss:0.722817 [44] validation_0-merror:0.35 validation_0-mlogloss:0.726025 [45] validation_0-merror:0.35 validation_0-mlogloss:0.72612 [46] validation_0-merror:0.35 validation_0-mlogloss:0.727583 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.727963 [48] validation_0-merror:0.35 validation_0-mlogloss:0.729321 Stopping. Best iteration: [43] validation_0-merror:0.35 validation_0-mlogloss:0.722817 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884397 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874682 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868935 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86326 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.850515 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834704 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818084 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806517 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801148 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791659 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784711 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771834 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.766585 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76307 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759516 [23] validation_0-merror:0.35 validation_0-mlogloss:0.751566 [24] validation_0-merror:0.35 validation_0-mlogloss:0.744931 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743256 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.737476 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.732502 [28] validation_0-merror:0.3 validation_0-mlogloss:0.731014 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727643 [30] validation_0-merror:0.3 validation_0-mlogloss:0.720823 [31] validation_0-merror:0.3 validation_0-mlogloss:0.718108 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715237 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712514 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709507 [35] validation_0-merror:0.3 validation_0-mlogloss:0.711152 [36] validation_0-merror:0.3 validation_0-mlogloss:0.704846 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701407 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.699742 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699888 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697704 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.695041 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.696526 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695927 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695999 [45] validation_0-merror:0.3 validation_0-mlogloss:0.69325 [46] validation_0-merror:0.3 validation_0-mlogloss:0.69374 [47] validation_0-merror:0.3 validation_0-mlogloss:0.693235 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691176 [49] validation_0-merror:0.3 validation_0-mlogloss:0.690006 [50] validation_0-merror:0.3 validation_0-mlogloss:0.686959 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.685797 [52] validation_0-merror:0.3 validation_0-mlogloss:0.685086 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.684274 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.683813 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.681047 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.679572 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.683636 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.684687 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.682705 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.682784 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.684946 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.679572 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05463 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01756 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986296 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958132 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934568 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897506 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876489 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865152 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848719 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799488 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781379 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762154 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754098 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748429 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740165 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736057 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.735847 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732936 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72871 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725208 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722497 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719442 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.718875 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711445 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.709342 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.708171 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.708516 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.703281 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.697913 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695253 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.696565 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.69499 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.693042 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.696542 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.693316 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.692087 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.691815 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695798 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.695451 [48] validation_0-merror:0.3 validation_0-mlogloss:0.694328 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696527 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693805 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.691815 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989064 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940064 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919515 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903489 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88863 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873529 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863457 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848874 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839976 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.828067 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821968 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810682 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80288 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797696 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792869 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785622 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77898 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.77624 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770838 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764534 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.76356 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760899 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.754815 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.7523 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.747141 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.742819 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.73932 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.735822 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.733317 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.729638 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.726159 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.72384 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.720004 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.720193 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.717212 [38] validation_0-merror:0.35 validation_0-mlogloss:0.715343 [39] validation_0-merror:0.35 validation_0-mlogloss:0.713669 [40] validation_0-merror:0.35 validation_0-mlogloss:0.714185 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.71315 [42] validation_0-merror:0.35 validation_0-mlogloss:0.712198 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.710396 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.709818 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.708129 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.710077 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.712982 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.71218 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.711834 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.713795 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.708129 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05873 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02659 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994819 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950898 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917964 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.877987 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.870411 [11] validation_0-merror:0.35 validation_0-mlogloss:0.857516 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844253 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837144 [14] validation_0-merror:0.35 validation_0-mlogloss:0.827991 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.82159 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810362 [17] validation_0-merror:0.35 validation_0-mlogloss:0.803308 [18] validation_0-merror:0.35 validation_0-mlogloss:0.798675 [19] validation_0-merror:0.35 validation_0-mlogloss:0.793427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.784638 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.781167 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776585 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774226 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.768252 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766293 [26] validation_0-merror:0.3 validation_0-mlogloss:0.761933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757659 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75294 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749282 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74514 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.741847 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73883 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735032 [34] validation_0-merror:0.3 validation_0-mlogloss:0.73258 [35] validation_0-merror:0.3 validation_0-mlogloss:0.728351 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.726774 [37] validation_0-merror:0.3 validation_0-mlogloss:0.72319 [38] validation_0-merror:0.3 validation_0-mlogloss:0.719074 [39] validation_0-merror:0.3 validation_0-mlogloss:0.717892 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71492 [41] validation_0-merror:0.3 validation_0-mlogloss:0.71108 [42] validation_0-merror:0.3 validation_0-mlogloss:0.710095 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.70808 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.705157 [45] validation_0-merror:0.3 validation_0-mlogloss:0.703949 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.702836 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.702814 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.700831 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.701679 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.700459 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.698914 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.699069 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.696287 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.697281 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.695854 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.693464 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.693319 [58] validation_0-merror:0.3 validation_0-mlogloss:0.693409 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.690115 [60] validation_0-merror:0.3 validation_0-mlogloss:0.691203 [61] validation_0-merror:0.3 validation_0-mlogloss:0.688948 [62] validation_0-merror:0.3 validation_0-mlogloss:0.691104 [63] validation_0-merror:0.3 validation_0-mlogloss:0.690666 [64] validation_0-merror:0.3 validation_0-mlogloss:0.690656 [65] validation_0-merror:0.316667 validation_0-mlogloss:0.690862 [66] validation_0-merror:0.316667 validation_0-mlogloss:0.691063 Stopping. Best iteration: [61] validation_0-merror:0.3 validation_0-mlogloss:0.688948 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9822 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932265 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913597 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.896397 [7] validation_0-merror:0.4 validation_0-mlogloss:0.881068 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.8641 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845669 [10] validation_0-merror:0.35 validation_0-mlogloss:0.832867 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824068 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.814434 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804058 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.800582 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787778 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77493 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765293 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757207 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751751 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742896 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735817 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730615 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719258 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710818 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.703617 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.703998 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699968 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696262 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69347 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.688947 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.685622 [32] validation_0-merror:0.3 validation_0-mlogloss:0.681801 [33] validation_0-merror:0.3 validation_0-mlogloss:0.683832 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.683445 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.680227 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.681845 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.68299 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.680497 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.674715 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.663302 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.6561 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.655375 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.655699 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.65168 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.649609 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.649501 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.648582 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647463 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644854 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.646868 [51] validation_0-merror:0.3 validation_0-mlogloss:0.646747 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.645962 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.649418 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.653581 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644854 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999033 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.970131 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.94552 [5] validation_0-merror:0.4 validation_0-mlogloss:0.925685 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905737 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890792 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872098 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.858198 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.846359 [11] validation_0-merror:0.4 validation_0-mlogloss:0.833958 [12] validation_0-merror:0.4 validation_0-mlogloss:0.828905 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819381 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.806728 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802865 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795948 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786078 [18] validation_0-merror:0.4 validation_0-mlogloss:0.780869 [19] validation_0-merror:0.4 validation_0-mlogloss:0.773345 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.768268 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760005 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.75859 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754255 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750925 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.748057 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.74099 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737867 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.731646 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.727987 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.731501 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732213 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.727435 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.726465 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.721125 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725448 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.727171 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.724307 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.731957 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.732246 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.721125 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06211 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03224 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.999256 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971762 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.947726 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927219 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905294 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.890735 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.874335 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861712 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.85112 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837983 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823167 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816486 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801626 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788295 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780996 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768617 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765575 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759379 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75587 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.756225 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754267 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749588 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.746735 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749912 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742752 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735752 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729581 [29] validation_0-merror:0.3 validation_0-mlogloss:0.723994 [30] validation_0-merror:0.3 validation_0-mlogloss:0.718951 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714912 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714301 [33] validation_0-merror:0.3 validation_0-mlogloss:0.714231 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714255 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.714502 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.713904 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.711751 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.713331 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.710541 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.708583 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.704637 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.708552 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.704288 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.705296 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.698369 [46] validation_0-merror:0.3 validation_0-mlogloss:0.698902 [47] validation_0-merror:0.3 validation_0-mlogloss:0.69886 [48] validation_0-merror:0.3 validation_0-mlogloss:0.694256 [49] validation_0-merror:0.3 validation_0-mlogloss:0.691029 [50] validation_0-merror:0.3 validation_0-mlogloss:0.69466 [51] validation_0-merror:0.3 validation_0-mlogloss:0.697185 [52] validation_0-merror:0.3 validation_0-mlogloss:0.696924 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.693729 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.692885 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.691029 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02247 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990685 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.964255 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94683 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926591 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907472 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890389 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87301 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855407 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843064 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827681 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813753 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80337 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796652 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787573 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777559 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771922 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.756458 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750383 [20] validation_0-merror:0.35 validation_0-mlogloss:0.745062 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735995 [22] validation_0-merror:0.3 validation_0-mlogloss:0.724968 [23] validation_0-merror:0.3 validation_0-mlogloss:0.717622 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709546 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709711 [26] validation_0-merror:0.3 validation_0-mlogloss:0.706533 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702362 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.696335 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.695132 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.689735 [31] validation_0-merror:0.3 validation_0-mlogloss:0.688959 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.68786 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688669 [34] validation_0-merror:0.3 validation_0-mlogloss:0.688549 [35] validation_0-merror:0.3 validation_0-mlogloss:0.682944 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.685228 [37] validation_0-merror:0.3 validation_0-mlogloss:0.682166 [38] validation_0-merror:0.3 validation_0-mlogloss:0.67889 [39] validation_0-merror:0.3 validation_0-mlogloss:0.675608 [40] validation_0-merror:0.3 validation_0-mlogloss:0.672447 [41] validation_0-merror:0.3 validation_0-mlogloss:0.668863 [42] validation_0-merror:0.3 validation_0-mlogloss:0.666589 [43] validation_0-merror:0.3 validation_0-mlogloss:0.666604 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.661561 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.658749 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.660602 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.657844 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.658654 [49] validation_0-merror:0.3 validation_0-mlogloss:0.656864 [50] validation_0-merror:0.3 validation_0-mlogloss:0.655074 [51] validation_0-merror:0.3 validation_0-mlogloss:0.657891 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.654391 [53] validation_0-merror:0.3 validation_0-mlogloss:0.652297 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654017 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.653765 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.654772 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.650044 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.645389 [59] validation_0-merror:0.3 validation_0-mlogloss:0.64418 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.646474 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.647853 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.649188 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.64661 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.643758 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.642712 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.642853 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.64319 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.643164 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.642009 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.642979 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.645082 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.64626 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.64462 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.644408 Stopping. Best iteration: [69] validation_0-merror:0.283333 validation_0-mlogloss:0.642009 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02314 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991425 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959874 [4] validation_0-merror:0.4 validation_0-mlogloss:0.940012 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.922646 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905612 [7] validation_0-merror:0.4 validation_0-mlogloss:0.895138 [8] validation_0-merror:0.4 validation_0-mlogloss:0.884125 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.870054 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.858342 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.845311 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.834198 [13] validation_0-merror:0.4 validation_0-mlogloss:0.821166 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809576 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800493 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790152 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.782448 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.775835 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76969 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.761645 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753661 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752697 [23] validation_0-merror:0.35 validation_0-mlogloss:0.747989 [24] validation_0-merror:0.35 validation_0-mlogloss:0.745028 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743493 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735316 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731823 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729554 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.7278 [30] validation_0-merror:0.35 validation_0-mlogloss:0.727023 [31] validation_0-merror:0.35 validation_0-mlogloss:0.725861 [32] validation_0-merror:0.35 validation_0-mlogloss:0.724071 [33] validation_0-merror:0.35 validation_0-mlogloss:0.721386 [34] validation_0-merror:0.35 validation_0-mlogloss:0.720829 [35] validation_0-merror:0.35 validation_0-mlogloss:0.719384 [36] validation_0-merror:0.35 validation_0-mlogloss:0.716039 [37] validation_0-merror:0.35 validation_0-mlogloss:0.71593 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719508 [39] validation_0-merror:0.35 validation_0-mlogloss:0.718315 [40] validation_0-merror:0.35 validation_0-mlogloss:0.719171 [41] validation_0-merror:0.35 validation_0-mlogloss:0.720696 [42] validation_0-merror:0.35 validation_0-mlogloss:0.72056 Stopping. Best iteration: [37] validation_0-merror:0.35 validation_0-mlogloss:0.71593 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977306 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954358 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936847 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.91666 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.902012 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.888644 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881385 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.877146 [11] validation_0-merror:0.4 validation_0-mlogloss:0.871611 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.85782 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.844555 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.827372 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816203 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808112 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802872 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.795601 [19] validation_0-merror:0.3 validation_0-mlogloss:0.784212 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.779513 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.777215 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773301 [23] validation_0-merror:0.3 validation_0-mlogloss:0.764957 [24] validation_0-merror:0.3 validation_0-mlogloss:0.760102 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756207 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.751456 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747197 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.742324 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.739444 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.734111 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730517 [32] validation_0-merror:0.3 validation_0-mlogloss:0.729287 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.726329 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.721863 [35] validation_0-merror:0.3 validation_0-mlogloss:0.72214 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716196 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712915 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.710932 [39] validation_0-merror:0.3 validation_0-mlogloss:0.709461 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706991 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.704145 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.70602 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.704993 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.705943 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.69925 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.699406 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.698876 [48] validation_0-merror:0.3 validation_0-mlogloss:0.697646 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.697625 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.694245 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.692152 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.691992 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.690707 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.690693 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.693962 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.696 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.698982 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.700057 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.698259 Stopping. Best iteration: [54] validation_0-merror:0.266667 validation_0-mlogloss:0.690693 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01882 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985716 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917387 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897914 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882293 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86719 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853065 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842513 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828249 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813641 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804478 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792855 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78119 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775523 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767473 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759157 [19] validation_0-merror:0.35 validation_0-mlogloss:0.74844 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74314 [21] validation_0-merror:0.35 validation_0-mlogloss:0.739784 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731444 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7259 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723112 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716071 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.712209 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712061 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703815 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.701861 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701958 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.701422 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691693 [33] validation_0-merror:0.3 validation_0-mlogloss:0.692156 [34] validation_0-merror:0.3 validation_0-mlogloss:0.689629 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690179 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687089 [37] validation_0-merror:0.3 validation_0-mlogloss:0.686356 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.684751 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682882 [40] validation_0-merror:0.3 validation_0-mlogloss:0.685097 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683446 [42] validation_0-merror:0.3 validation_0-mlogloss:0.684171 [43] validation_0-merror:0.3 validation_0-mlogloss:0.685689 [44] validation_0-merror:0.3 validation_0-mlogloss:0.68328 Stopping. Best iteration: [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682882 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987693 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962718 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937965 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921826 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904217 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891091 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874965 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848994 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839101 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829631 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819943 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80767 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798418 [16] validation_0-merror:0.4 validation_0-mlogloss:0.794697 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788155 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780741 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773895 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767912 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.763352 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759919 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756068 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750801 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.745612 [26] validation_0-merror:0.35 validation_0-mlogloss:0.744983 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.739673 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.733603 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.730916 [30] validation_0-merror:0.35 validation_0-mlogloss:0.729663 [31] validation_0-merror:0.35 validation_0-mlogloss:0.726421 [32] validation_0-merror:0.35 validation_0-mlogloss:0.724176 [33] validation_0-merror:0.35 validation_0-mlogloss:0.722335 [34] validation_0-merror:0.35 validation_0-mlogloss:0.720087 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.71882 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.718697 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.716982 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.715117 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.713334 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.716608 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.714578 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.713857 [43] validation_0-merror:0.3 validation_0-mlogloss:0.714228 [44] validation_0-merror:0.3 validation_0-mlogloss:0.714129 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.713334 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995513 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97594 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947806 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928278 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919282 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897538 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889656 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866785 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859452 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849925 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.830366 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811189 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800721 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788132 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783831 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78267 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777406 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770662 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764135 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758256 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757225 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75631 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754438 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751267 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750464 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7483 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742434 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73947 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733606 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733267 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732009 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727557 [40] validation_0-merror:0.3 validation_0-mlogloss:0.724329 [41] validation_0-merror:0.3 validation_0-mlogloss:0.722647 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.719515 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.717885 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.714965 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.713025 [46] validation_0-merror:0.3 validation_0-mlogloss:0.710862 [47] validation_0-merror:0.3 validation_0-mlogloss:0.71086 [48] validation_0-merror:0.3 validation_0-mlogloss:0.709622 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.707854 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708079 [51] validation_0-merror:0.3 validation_0-mlogloss:0.707339 [52] validation_0-merror:0.3 validation_0-mlogloss:0.705257 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.70433 [54] validation_0-merror:0.3 validation_0-mlogloss:0.70349 [55] validation_0-merror:0.3 validation_0-mlogloss:0.702937 [56] validation_0-merror:0.3 validation_0-mlogloss:0.700351 [57] validation_0-merror:0.3 validation_0-mlogloss:0.701056 [58] validation_0-merror:0.3 validation_0-mlogloss:0.700039 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.6979 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.697173 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.697765 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.701589 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.702375 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.700004 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.700673 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.697173 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01918 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983916 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957638 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932588 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913455 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.896052 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880433 [8] validation_0-merror:0.4 validation_0-mlogloss:0.865129 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.848566 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835777 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823856 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813594 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803001 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798438 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785977 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772434 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765366 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755479 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748209 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738408 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73186 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726749 [23] validation_0-merror:0.3 validation_0-mlogloss:0.716158 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707307 [25] validation_0-merror:0.3 validation_0-mlogloss:0.701108 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70019 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69415 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.691339 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.688589 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686059 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686209 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683483 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686014 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688311 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.691315 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693491 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691525 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.683483 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03271 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00122 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.969375 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.947148 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.92627 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.908422 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.89273 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.875141 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.864244 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.851842 [11] validation_0-merror:0.4 validation_0-mlogloss:0.838699 [12] validation_0-merror:0.4 validation_0-mlogloss:0.833676 [13] validation_0-merror:0.4 validation_0-mlogloss:0.824658 [14] validation_0-merror:0.4 validation_0-mlogloss:0.812285 [15] validation_0-merror:0.4 validation_0-mlogloss:0.806687 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79742 [17] validation_0-merror:0.4 validation_0-mlogloss:0.791277 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.78641 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.779511 [20] validation_0-merror:0.4 validation_0-mlogloss:0.774884 [21] validation_0-merror:0.4 validation_0-mlogloss:0.767139 [22] validation_0-merror:0.4 validation_0-mlogloss:0.764609 [23] validation_0-merror:0.4 validation_0-mlogloss:0.759753 [24] validation_0-merror:0.4 validation_0-mlogloss:0.756571 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756126 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.746434 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742908 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.737979 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.729989 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.730233 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.731406 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.726945 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.724133 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.725064 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.729106 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.728799 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.726119 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.733868 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.724133 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06181 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03349 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00053 [3] validation_0-merror:0.4 validation_0-mlogloss:0.974457 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950017 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929535 [6] validation_0-merror:0.35 validation_0-mlogloss:0.913139 [7] validation_0-merror:0.35 validation_0-mlogloss:0.896725 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879032 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.863533 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851841 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839799 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822696 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815169 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807885 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.796183 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.790103 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780827 [18] validation_0-merror:0.35 validation_0-mlogloss:0.780182 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775239 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774209 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773907 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771093 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.767254 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.764049 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761887 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754195 [27] validation_0-merror:0.35 validation_0-mlogloss:0.751918 [28] validation_0-merror:0.35 validation_0-mlogloss:0.743103 [29] validation_0-merror:0.35 validation_0-mlogloss:0.737595 [30] validation_0-merror:0.35 validation_0-mlogloss:0.736821 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732426 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.731322 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.729053 [34] validation_0-merror:0.35 validation_0-mlogloss:0.728805 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.726392 [36] validation_0-merror:0.35 validation_0-mlogloss:0.725807 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.722135 [38] validation_0-merror:0.35 validation_0-mlogloss:0.71865 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.713909 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.712451 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.706422 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.70966 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.705095 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.703972 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.697413 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697562 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.698579 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.698061 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696413 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.700015 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.701999 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.703868 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.700877 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.704247 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696413 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02384 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991841 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966058 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948646 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.930454 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911384 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894372 [8] validation_0-merror:0.4 validation_0-mlogloss:0.879628 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863447 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850231 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833465 [12] validation_0-merror:0.35 validation_0-mlogloss:0.818049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809735 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791885 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782573 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.775919 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765827 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75942 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.752275 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745734 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735494 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729596 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72097 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.721952 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.719517 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.717869 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713293 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.712394 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704726 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704776 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700749 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.69747 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.695575 [35] validation_0-merror:0.3 validation_0-mlogloss:0.692131 [36] validation_0-merror:0.3 validation_0-mlogloss:0.691416 [37] validation_0-merror:0.3 validation_0-mlogloss:0.689023 [38] validation_0-merror:0.3 validation_0-mlogloss:0.687267 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686032 [40] validation_0-merror:0.3 validation_0-mlogloss:0.685575 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681119 [42] validation_0-merror:0.3 validation_0-mlogloss:0.677934 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676276 [44] validation_0-merror:0.3 validation_0-mlogloss:0.676691 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676854 [46] validation_0-merror:0.3 validation_0-mlogloss:0.677958 [47] validation_0-merror:0.3 validation_0-mlogloss:0.6757 [48] validation_0-merror:0.3 validation_0-mlogloss:0.674154 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674177 [50] validation_0-merror:0.3 validation_0-mlogloss:0.671221 [51] validation_0-merror:0.3 validation_0-mlogloss:0.674192 [52] validation_0-merror:0.3 validation_0-mlogloss:0.673469 [53] validation_0-merror:0.3 validation_0-mlogloss:0.672616 [54] validation_0-merror:0.3 validation_0-mlogloss:0.669838 [55] validation_0-merror:0.3 validation_0-mlogloss:0.670851 [56] validation_0-merror:0.3 validation_0-mlogloss:0.672703 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.670217 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.667392 [59] validation_0-merror:0.3 validation_0-mlogloss:0.66374 [60] validation_0-merror:0.3 validation_0-mlogloss:0.664614 [61] validation_0-merror:0.3 validation_0-mlogloss:0.665644 [62] validation_0-merror:0.3 validation_0-mlogloss:0.667452 [63] validation_0-merror:0.3 validation_0-mlogloss:0.66733 [64] validation_0-merror:0.3 validation_0-mlogloss:0.665972 Stopping. Best iteration: [59] validation_0-merror:0.3 validation_0-mlogloss:0.66374 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02386 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991762 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960148 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939114 [5] validation_0-merror:0.4 validation_0-mlogloss:0.920154 [6] validation_0-merror:0.4 validation_0-mlogloss:0.903413 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891289 [8] validation_0-merror:0.4 validation_0-mlogloss:0.880498 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.4 validation_0-mlogloss:0.854143 [11] validation_0-merror:0.4 validation_0-mlogloss:0.843061 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.833521 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819476 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811648 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80205 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.792599 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785997 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.781296 [19] validation_0-merror:0.35 validation_0-mlogloss:0.773852 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766303 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76128 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760524 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755214 [24] validation_0-merror:0.35 validation_0-mlogloss:0.751785 [25] validation_0-merror:0.35 validation_0-mlogloss:0.750937 [26] validation_0-merror:0.35 validation_0-mlogloss:0.742607 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738087 [28] validation_0-merror:0.35 validation_0-mlogloss:0.733256 [29] validation_0-merror:0.35 validation_0-mlogloss:0.731392 [30] validation_0-merror:0.35 validation_0-mlogloss:0.730677 [31] validation_0-merror:0.35 validation_0-mlogloss:0.72856 [32] validation_0-merror:0.35 validation_0-mlogloss:0.725352 [33] validation_0-merror:0.35 validation_0-mlogloss:0.723289 [34] validation_0-merror:0.35 validation_0-mlogloss:0.722323 [35] validation_0-merror:0.35 validation_0-mlogloss:0.723159 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720699 [37] validation_0-merror:0.35 validation_0-mlogloss:0.722383 [38] validation_0-merror:0.35 validation_0-mlogloss:0.725066 [39] validation_0-merror:0.35 validation_0-mlogloss:0.722074 [40] validation_0-merror:0.35 validation_0-mlogloss:0.722298 [41] validation_0-merror:0.35 validation_0-mlogloss:0.724356 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.720699 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957182 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940845 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920532 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.906043 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891886 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88456 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.869279 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.863679 [12] validation_0-merror:0.35 validation_0-mlogloss:0.849694 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839241 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.823233 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815998 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809228 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803373 [18] validation_0-merror:0.3 validation_0-mlogloss:0.795972 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.784036 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.779174 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.775863 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.772202 [23] validation_0-merror:0.3 validation_0-mlogloss:0.766039 [24] validation_0-merror:0.3 validation_0-mlogloss:0.762211 [25] validation_0-merror:0.3 validation_0-mlogloss:0.757316 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754767 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749763 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.747393 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.743935 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.742587 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740473 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.737551 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.73686 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.732993 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.733066 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.728333 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.724919 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.722936 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.724275 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.721631 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.719156 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.721015 [43] validation_0-merror:0.3 validation_0-mlogloss:0.7176 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.719136 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.718345 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.721236 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.720518 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.718187 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.7176 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05912 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02403 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995271 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968259 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.948169 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.92899 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911982 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898171 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.886244 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.873287 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859437 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.850398 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834789 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803935 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796539 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78672 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764554 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.758892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747109 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742895 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737316 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738705 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.739922 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73757 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.736299 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73708 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73565 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.734738 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728741 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.730692 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.728619 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727762 [38] validation_0-merror:0.3 validation_0-mlogloss:0.724267 [39] validation_0-merror:0.3 validation_0-mlogloss:0.721825 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71826 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718992 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.719313 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718798 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.716239 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.712614 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.710926 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.708359 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.709362 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.711985 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.710323 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.712937 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709187 Stopping. Best iteration: [47] validation_0-merror:0.333333 validation_0-mlogloss:0.708359 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02212 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992362 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969757 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945534 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927752 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910943 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895952 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.880061 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866206 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853044 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843404 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835992 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822886 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810569 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802698 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797421 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789842 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.782247 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.776835 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774668 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768519 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764985 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.760232 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755599 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751559 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748608 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.744534 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739378 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.737797 [30] validation_0-merror:0.35 validation_0-mlogloss:0.73706 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.735227 [32] validation_0-merror:0.35 validation_0-mlogloss:0.732103 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730115 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728809 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.72691 [36] validation_0-merror:0.35 validation_0-mlogloss:0.729454 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726831 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.725748 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724356 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.725005 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724658 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.725149 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.726075 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.724968 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724356 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948229 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931659 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916934 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900914 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890337 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882763 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.86947 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864794 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.854751 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845178 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.836971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829775 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822792 [17] validation_0-merror:0.35 validation_0-mlogloss:0.820153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.813469 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.807123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.802133 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798147 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793569 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783745 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.779265 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774073 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767268 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.763512 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.762569 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.755765 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.752968 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750914 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744984 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.742919 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739444 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737868 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733592 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.733538 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.727928 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727318 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724796 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.7256 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.720044 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.720867 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.71748 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.715706 [47] validation_0-merror:0.3 validation_0-mlogloss:0.715212 [48] validation_0-merror:0.3 validation_0-mlogloss:0.713944 [49] validation_0-merror:0.3 validation_0-mlogloss:0.710792 [50] validation_0-merror:0.3 validation_0-mlogloss:0.71215 [51] validation_0-merror:0.3 validation_0-mlogloss:0.712917 [52] validation_0-merror:0.3 validation_0-mlogloss:0.711708 [53] validation_0-merror:0.3 validation_0-mlogloss:0.709136 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.708612 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.706591 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.705346 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.703422 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.703091 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.701584 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.702724 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.701569 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.699243 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.698638 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.70094 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.69925 [67] validation_0-merror:0.25 validation_0-mlogloss:0.70019 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.700237 [69] validation_0-merror:0.25 validation_0-mlogloss:0.699311 Stopping. Best iteration: [64] validation_0-merror:0.283333 validation_0-mlogloss:0.698638 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02058 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.960218 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934936 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914933 [6] validation_0-merror:0.35 validation_0-mlogloss:0.89744 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881877 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865274 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.848337 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835108 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824275 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813079 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.802621 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798121 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785281 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.776093 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767385 [18] validation_0-merror:0.3 validation_0-mlogloss:0.756456 [19] validation_0-merror:0.3 validation_0-mlogloss:0.749131 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739838 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.736462 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.732023 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.722516 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713097 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.703212 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.702032 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.69467 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.688306 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.685662 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.682079 [31] validation_0-merror:0.25 validation_0-mlogloss:0.67972 [32] validation_0-merror:0.25 validation_0-mlogloss:0.677876 [33] validation_0-merror:0.25 validation_0-mlogloss:0.677637 [34] validation_0-merror:0.25 validation_0-mlogloss:0.680246 [35] validation_0-merror:0.25 validation_0-mlogloss:0.683823 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.685798 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.68452 [38] validation_0-merror:0.25 validation_0-mlogloss:0.68362 Stopping. Best iteration: [33] validation_0-merror:0.25 validation_0-mlogloss:0.677637 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06603 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03256 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00455 [3] validation_0-merror:0.4 validation_0-mlogloss:0.972295 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.950387 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.931351 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.912093 [7] validation_0-merror:0.4 validation_0-mlogloss:0.897243 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.877088 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867331 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.85591 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.840663 [12] validation_0-merror:0.4 validation_0-mlogloss:0.835757 [13] validation_0-merror:0.4 validation_0-mlogloss:0.82431 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811725 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806719 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79735 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787928 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782852 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774877 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769053 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760257 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759041 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.75582 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.751983 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756627 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746362 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.7433 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.74195 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.732594 [30] validation_0-merror:0.4 validation_0-mlogloss:0.734154 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.733627 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.72786 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.72595 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.725991 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.729763 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.729212 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.72858 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.735185 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.72595 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03297 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00295 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975749 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951455 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.930104 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910916 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894342 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876183 [9] validation_0-merror:0.35 validation_0-mlogloss:0.859495 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851135 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839725 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823927 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816721 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.809573 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.797911 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.792 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78287 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784334 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777288 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.77646 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.772308 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768746 [23] validation_0-merror:0.35 validation_0-mlogloss:0.76416 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761965 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758729 [26] validation_0-merror:0.35 validation_0-mlogloss:0.750064 [27] validation_0-merror:0.35 validation_0-mlogloss:0.746379 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.738408 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733142 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.726564 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.722315 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.721407 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.720842 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.721546 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721178 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721087 [37] validation_0-merror:0.35 validation_0-mlogloss:0.719185 [38] validation_0-merror:0.35 validation_0-mlogloss:0.719915 [39] validation_0-merror:0.35 validation_0-mlogloss:0.716274 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.713264 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.707832 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.708123 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.705899 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.704739 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.701747 [46] validation_0-merror:0.35 validation_0-mlogloss:0.703217 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.705689 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704455 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.702812 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.706971 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.701747 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939889 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921416 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902364 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882844 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869826 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851612 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84095 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824638 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810155 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803558 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796079 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783966 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775313 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770624 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760312 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753601 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746691 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740721 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731753 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727031 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722804 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717951 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716552 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713001 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708711 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707651 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703054 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703173 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700878 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698264 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696448 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692759 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694707 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695294 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692719 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690558 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692287 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688065 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685361 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684741 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684266 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68214 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681416 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.680406 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.683467 [49] validation_0-merror:0.3 validation_0-mlogloss:0.68241 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.679147 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.682033 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.680178 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.67922 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.67959 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.678892 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.679163 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.677356 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.675418 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.671537 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.671776 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.671982 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.671383 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.670945 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.669749 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.667197 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.666738 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.666992 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.668405 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.667842 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.669696 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.670651 Stopping. Best iteration: [66] validation_0-merror:0.266667 validation_0-mlogloss:0.666738 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942405 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922801 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907278 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894255 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878613 [9] validation_0-merror:0.4 validation_0-mlogloss:0.86426 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852778 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841924 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832424 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81844 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809892 [15] validation_0-merror:0.4 validation_0-mlogloss:0.801776 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79046 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784227 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779239 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77187 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.764301 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75926 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761322 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755857 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752025 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.751532 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745444 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.740647 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736365 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.734385 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.73309 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.730703 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.727423 [33] validation_0-merror:0.35 validation_0-mlogloss:0.726746 [34] validation_0-merror:0.35 validation_0-mlogloss:0.725964 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727306 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724436 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726249 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.729504 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727017 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.726564 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.72739 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.724436 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939203 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917829 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890208 [9] validation_0-merror:0.35 validation_0-mlogloss:0.882502 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.880635 [11] validation_0-merror:0.4 validation_0-mlogloss:0.875191 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.86135 [13] validation_0-merror:0.4 validation_0-mlogloss:0.851909 [14] validation_0-merror:0.35 validation_0-mlogloss:0.838467 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.832372 [16] validation_0-merror:0.3 validation_0-mlogloss:0.822843 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.81656 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.812409 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80522 [20] validation_0-merror:0.3 validation_0-mlogloss:0.80147 [21] validation_0-merror:0.3 validation_0-mlogloss:0.796682 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.794253 [23] validation_0-merror:0.3 validation_0-mlogloss:0.790197 [24] validation_0-merror:0.3 validation_0-mlogloss:0.786254 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.781906 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777984 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778654 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.772839 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771083 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771125 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.768772 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767357 [33] validation_0-merror:0.3 validation_0-mlogloss:0.762038 [34] validation_0-merror:0.3 validation_0-mlogloss:0.75838 [35] validation_0-merror:0.3 validation_0-mlogloss:0.759909 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.760693 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.757315 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.754722 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.754129 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.750894 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.74853 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.747194 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.745766 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.744668 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.744184 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.742791 [47] validation_0-merror:0.3 validation_0-mlogloss:0.740883 [48] validation_0-merror:0.3 validation_0-mlogloss:0.739951 [49] validation_0-merror:0.3 validation_0-mlogloss:0.739173 [50] validation_0-merror:0.3 validation_0-mlogloss:0.735879 [51] validation_0-merror:0.3 validation_0-mlogloss:0.735987 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.738088 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.736194 [54] validation_0-merror:0.3 validation_0-mlogloss:0.736548 [55] validation_0-merror:0.3 validation_0-mlogloss:0.736547 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.735879 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02634 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99714 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971102 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.951412 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932375 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.915287 [7] validation_0-merror:0.4 validation_0-mlogloss:0.901194 [8] validation_0-merror:0.4 validation_0-mlogloss:0.887454 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.875624 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.865081 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854588 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.845945 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830317 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816882 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812255 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799933 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789782 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775686 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770174 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768024 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7648 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76347 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760003 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.757765 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.75516 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754506 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.751052 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.752167 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.752947 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750255 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748077 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744116 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743357 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742657 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.740361 [37] validation_0-merror:0.3 validation_0-mlogloss:0.738186 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.735577 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.733818 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.732151 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.732078 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.732202 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729409 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.728655 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.724539 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.722358 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.72154 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.718136 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.717183 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.717179 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.714457 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.712363 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.709895 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.708792 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.709057 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.708343 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.707043 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.707077 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.704754 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.70433 [61] validation_0-merror:0.3 validation_0-mlogloss:0.706501 [62] validation_0-merror:0.3 validation_0-mlogloss:0.70461 [63] validation_0-merror:0.3 validation_0-mlogloss:0.704739 [64] validation_0-merror:0.3 validation_0-mlogloss:0.705071 [65] validation_0-merror:0.3 validation_0-mlogloss:0.703563 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.701879 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.702727 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.701923 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.701242 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.701545 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.699947 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.698966 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.699149 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.698947 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.698695 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.698818 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.698318 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.698619 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.697973 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.699222 [81] validation_0-merror:0.283333 validation_0-mlogloss:0.698488 [82] validation_0-merror:0.283333 validation_0-mlogloss:0.699161 [83] validation_0-merror:0.283333 validation_0-mlogloss:0.698893 [84] validation_0-merror:0.266667 validation_0-mlogloss:0.700511 Stopping. Best iteration: [79] validation_0-merror:0.266667 validation_0-mlogloss:0.697973 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01983 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966793 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941737 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923955 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908105 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891338 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877306 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863576 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851224 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840962 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831201 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823243 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814924 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805401 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800058 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794395 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785535 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778818 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772666 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769354 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.762752 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756865 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754129 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.750084 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745664 [27] validation_0-merror:0.35 validation_0-mlogloss:0.741236 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737528 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733634 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734571 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73174 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726697 [33] validation_0-merror:0.35 validation_0-mlogloss:0.725416 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726521 [35] validation_0-merror:0.35 validation_0-mlogloss:0.723888 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722581 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.718753 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716639 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716552 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.716198 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.716936 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717268 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.716627 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.719041 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.72019 Stopping. Best iteration: [40] validation_0-merror:0.333333 validation_0-mlogloss:0.716198 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948388 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930354 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915711 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900306 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.889916 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881541 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.871675 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866593 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.857014 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.852316 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.842586 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.838785 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.832853 [17] validation_0-merror:0.35 validation_0-mlogloss:0.82783 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.827189 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.823465 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.819696 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.816736 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.810387 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.805869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.796443 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.794538 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.788974 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.787945 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784346 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781596 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.780661 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.777086 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.773387 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.771161 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.772036 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.765094 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.760797 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.757443 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.753989 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.752838 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.748943 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.748621 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.746987 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.745179 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.743343 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.74067 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.738265 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.736483 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.735213 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.735858 [50] validation_0-merror:0.3 validation_0-mlogloss:0.732478 [51] validation_0-merror:0.3 validation_0-mlogloss:0.731688 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.729835 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.726555 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.728611 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.726898 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.725603 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.726103 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.724178 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.727895 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.728199 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.727552 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.725481 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.72557 Stopping. Best iteration: [58] validation_0-merror:0.266667 validation_0-mlogloss:0.724178 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0079 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975651 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948332 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921563 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898326 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879937 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862935 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84152 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.824751 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815289 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805967 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79873 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792309 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785492 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77626 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.767725 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761785 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752259 [19] validation_0-merror:0.3 validation_0-mlogloss:0.745136 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737838 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.73729 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.732573 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.726024 [24] validation_0-merror:0.25 validation_0-mlogloss:0.715606 [25] validation_0-merror:0.216667 validation_0-mlogloss:0.710963 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.711525 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.705119 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706603 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.706765 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.70619 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.707429 [32] validation_0-merror:0.3 validation_0-mlogloss:0.713697 Stopping. Best iteration: [27] validation_0-merror:0.266667 validation_0-mlogloss:0.705119 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01619 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976542 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945665 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.923792 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903404 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.883936 [7] validation_0-merror:0.4 validation_0-mlogloss:0.862835 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.84862 [9] validation_0-merror:0.4 validation_0-mlogloss:0.842345 [10] validation_0-merror:0.4 validation_0-mlogloss:0.834047 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827358 [12] validation_0-merror:0.4 validation_0-mlogloss:0.828121 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81699 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802435 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.790096 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.782526 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776377 [19] validation_0-merror:0.35 validation_0-mlogloss:0.767964 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.767211 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761812 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764301 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758386 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75553 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759457 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756108 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755112 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.759915 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759837 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.757651 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.759696 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.75827 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755112 [0] validation_0-merror:0.45 validation_0-mlogloss:1.04944 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01407 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985336 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951558 [4] validation_0-merror:0.35 validation_0-mlogloss:0.920594 [5] validation_0-merror:0.3 validation_0-mlogloss:0.898634 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880076 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864648 [8] validation_0-merror:0.35 validation_0-mlogloss:0.851967 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833619 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.832315 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.82362 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804732 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802656 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789178 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774477 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769709 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.75529 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759481 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.756938 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757331 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.755311 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.752789 [23] validation_0-merror:0.3 validation_0-mlogloss:0.751232 [24] validation_0-merror:0.3 validation_0-mlogloss:0.750182 [25] validation_0-merror:0.3 validation_0-mlogloss:0.749601 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751925 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.743496 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738434 [29] validation_0-merror:0.3 validation_0-mlogloss:0.736803 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739174 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738825 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.735543 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.734081 [34] validation_0-merror:0.3 validation_0-mlogloss:0.732407 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.734046 [36] validation_0-merror:0.3 validation_0-mlogloss:0.73684 [37] validation_0-merror:0.3 validation_0-mlogloss:0.730219 [38] validation_0-merror:0.3 validation_0-mlogloss:0.728994 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.732193 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.730221 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.73351 [42] validation_0-merror:0.3 validation_0-mlogloss:0.738913 [43] validation_0-merror:0.3 validation_0-mlogloss:0.736681 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.728994 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0477 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00434 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.965009 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941683 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916764 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.89177 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.868509 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849841 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.831501 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.814637 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.805538 [11] validation_0-merror:0.3 validation_0-mlogloss:0.787781 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.778023 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.768236 [14] validation_0-merror:0.3 validation_0-mlogloss:0.758231 [15] validation_0-merror:0.3 validation_0-mlogloss:0.750852 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.745276 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.740196 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.729896 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.725646 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.718405 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.706955 [22] validation_0-merror:0.25 validation_0-mlogloss:0.701951 [23] validation_0-merror:0.25 validation_0-mlogloss:0.697634 [24] validation_0-merror:0.25 validation_0-mlogloss:0.690498 [25] validation_0-merror:0.25 validation_0-mlogloss:0.68608 [26] validation_0-merror:0.25 validation_0-mlogloss:0.684465 [27] validation_0-merror:0.25 validation_0-mlogloss:0.681379 [28] validation_0-merror:0.25 validation_0-mlogloss:0.680956 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.680418 [30] validation_0-merror:0.25 validation_0-mlogloss:0.675503 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.680082 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.67841 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679991 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.680614 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.679849 Stopping. Best iteration: [30] validation_0-merror:0.25 validation_0-mlogloss:0.675503 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05075 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01193 [2] validation_0-merror:0.4 validation_0-mlogloss:0.976369 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.937025 [4] validation_0-merror:0.35 validation_0-mlogloss:0.909883 [5] validation_0-merror:0.35 validation_0-mlogloss:0.89388 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881001 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865841 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852717 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.844527 [10] validation_0-merror:0.4 validation_0-mlogloss:0.834938 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822805 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.8211 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815942 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807011 [15] validation_0-merror:0.35 validation_0-mlogloss:0.80274 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796059 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794361 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.789817 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783899 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781484 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.774474 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777371 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.774406 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.772378 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.768839 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.769964 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767065 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.766436 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.767054 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.769823 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770488 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771068 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.776168 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.766436 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05093 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00669 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977336 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.943095 [4] validation_0-merror:0.3 validation_0-mlogloss:0.92413 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.909574 [6] validation_0-merror:0.3 validation_0-mlogloss:0.889161 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.870548 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.853168 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849716 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840702 [11] validation_0-merror:0.3 validation_0-mlogloss:0.837149 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.833229 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824685 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.820017 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.812126 [16] validation_0-merror:0.3 validation_0-mlogloss:0.80557 [17] validation_0-merror:0.3 validation_0-mlogloss:0.795999 [18] validation_0-merror:0.3 validation_0-mlogloss:0.79603 [19] validation_0-merror:0.3 validation_0-mlogloss:0.785408 [20] validation_0-merror:0.3 validation_0-mlogloss:0.780727 [21] validation_0-merror:0.3 validation_0-mlogloss:0.780465 [22] validation_0-merror:0.3 validation_0-mlogloss:0.774793 [23] validation_0-merror:0.3 validation_0-mlogloss:0.774866 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.76992 [25] validation_0-merror:0.3 validation_0-mlogloss:0.768635 [26] validation_0-merror:0.3 validation_0-mlogloss:0.765653 [27] validation_0-merror:0.3 validation_0-mlogloss:0.765679 [28] validation_0-merror:0.3 validation_0-mlogloss:0.766823 [29] validation_0-merror:0.3 validation_0-mlogloss:0.770691 [30] validation_0-merror:0.3 validation_0-mlogloss:0.775906 [31] validation_0-merror:0.3 validation_0-mlogloss:0.776233 Stopping. Best iteration: [26] validation_0-merror:0.3 validation_0-mlogloss:0.765653 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04484 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00191 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.965355 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.935856 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.911764 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.890027 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.87135 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.854045 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.836538 [9] validation_0-merror:0.3 validation_0-mlogloss:0.822515 [10] validation_0-merror:0.3 validation_0-mlogloss:0.807877 [11] validation_0-merror:0.3 validation_0-mlogloss:0.79406 [12] validation_0-merror:0.3 validation_0-mlogloss:0.784077 [13] validation_0-merror:0.3 validation_0-mlogloss:0.774992 [14] validation_0-merror:0.3 validation_0-mlogloss:0.768054 [15] validation_0-merror:0.3 validation_0-mlogloss:0.753527 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.74646 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.739438 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.730909 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.729927 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.725092 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.722439 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.720474 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.718949 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.71873 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.714966 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708879 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705353 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703994 [29] validation_0-merror:0.25 validation_0-mlogloss:0.703095 [30] validation_0-merror:0.25 validation_0-mlogloss:0.700339 [31] validation_0-merror:0.25 validation_0-mlogloss:0.695088 [32] validation_0-merror:0.25 validation_0-mlogloss:0.692701 [33] validation_0-merror:0.25 validation_0-mlogloss:0.692128 [34] validation_0-merror:0.25 validation_0-mlogloss:0.691434 [35] validation_0-merror:0.25 validation_0-mlogloss:0.692315 [36] validation_0-merror:0.216667 validation_0-mlogloss:0.694708 [37] validation_0-merror:0.216667 validation_0-mlogloss:0.69472 [38] validation_0-merror:0.216667 validation_0-mlogloss:0.692162 [39] validation_0-merror:0.216667 validation_0-mlogloss:0.690934 [40] validation_0-merror:0.216667 validation_0-mlogloss:0.689709 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.690466 [42] validation_0-merror:0.25 validation_0-mlogloss:0.691457 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.690493 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.694081 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.695653 Stopping. Best iteration: [40] validation_0-merror:0.216667 validation_0-mlogloss:0.689709 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00703 [2] validation_0-merror:0.35 validation_0-mlogloss:0.970043 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.942727 [4] validation_0-merror:0.35 validation_0-mlogloss:0.916633 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.895921 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881876 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871467 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.865042 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853893 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.849589 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843264 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.833015 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82064 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.817945 [15] validation_0-merror:0.35 validation_0-mlogloss:0.808471 [16] validation_0-merror:0.35 validation_0-mlogloss:0.810722 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.804436 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799338 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.803526 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.806523 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.804594 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.806037 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.812219 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799338 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00947 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.973644 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.946332 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.920484 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900093 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.879755 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865865 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855632 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847702 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841891 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837431 [12] validation_0-merror:0.35 validation_0-mlogloss:0.833037 [13] validation_0-merror:0.35 validation_0-mlogloss:0.830983 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82646 [15] validation_0-merror:0.35 validation_0-mlogloss:0.824533 [16] validation_0-merror:0.35 validation_0-mlogloss:0.823268 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.822373 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.821471 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.823217 [20] validation_0-merror:0.35 validation_0-mlogloss:0.82535 [21] validation_0-merror:0.35 validation_0-mlogloss:0.82675 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.828507 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.828104 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.821471 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04689 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00445 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975585 [3] validation_0-merror:0.4 validation_0-mlogloss:0.948987 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921645 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.899839 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880877 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867856 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848091 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829673 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820242 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813027 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809003 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802646 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794686 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784997 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781252 [17] validation_0-merror:0.35 validation_0-mlogloss:0.774559 [18] validation_0-merror:0.35 validation_0-mlogloss:0.765837 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75916 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74856 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743207 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.738303 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731964 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72362 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.71819 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.717106 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.711684 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704809 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703986 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703147 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703546 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705491 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701983 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701673 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705282 [36] validation_0-merror:0.3 validation_0-mlogloss:0.705799 [37] validation_0-merror:0.3 validation_0-mlogloss:0.711663 [38] validation_0-merror:0.3 validation_0-mlogloss:0.709083 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704217 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.701673 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02175 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985672 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953294 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930609 [5] validation_0-merror:0.4 validation_0-mlogloss:0.910004 [6] validation_0-merror:0.4 validation_0-mlogloss:0.889054 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869109 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.848729 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.841685 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83271 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.823509 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820853 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814759 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.806373 [15] validation_0-merror:0.4 validation_0-mlogloss:0.795412 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791369 [17] validation_0-merror:0.4 validation_0-mlogloss:0.789223 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782492 [19] validation_0-merror:0.4 validation_0-mlogloss:0.774103 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772171 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762277 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761635 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.758777 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757548 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761007 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.756635 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762217 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.752231 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.751578 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749634 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751911 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.752877 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752989 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.760026 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.762903 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749634 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01559 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98343 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95231 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922851 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903803 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886756 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873306 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857289 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844229 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.840496 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829494 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81477 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.811903 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79482 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781172 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772672 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.759128 [18] validation_0-merror:0.3 validation_0-mlogloss:0.761955 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761352 [20] validation_0-merror:0.35 validation_0-mlogloss:0.762894 [21] validation_0-merror:0.35 validation_0-mlogloss:0.75823 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.755408 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.753134 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757251 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.755297 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.752564 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746609 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.74093 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73981 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736794 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.738888 [32] validation_0-merror:0.3 validation_0-mlogloss:0.740452 [33] validation_0-merror:0.3 validation_0-mlogloss:0.737913 [34] validation_0-merror:0.3 validation_0-mlogloss:0.739407 [35] validation_0-merror:0.3 validation_0-mlogloss:0.740247 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736794 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00887 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.969473 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.94233 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.918673 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.893059 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871852 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.852075 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.833967 [9] validation_0-merror:0.3 validation_0-mlogloss:0.820363 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808351 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.791728 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.778062 [13] validation_0-merror:0.3 validation_0-mlogloss:0.770314 [14] validation_0-merror:0.3 validation_0-mlogloss:0.763814 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.756118 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.74918 [17] validation_0-merror:0.3 validation_0-mlogloss:0.74755 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.739577 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.732408 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.725514 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.717602 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.71233 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.708459 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.704364 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.698936 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.698506 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.696587 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.693001 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.695297 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.69701 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.6965 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.697813 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697212 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.693001 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01371 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977099 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.93787 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.916351 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.901533 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.884053 [7] validation_0-merror:0.4 validation_0-mlogloss:0.87152 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853189 [9] validation_0-merror:0.4 validation_0-mlogloss:0.837499 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.826966 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.817399 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.809993 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.803786 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795494 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.790582 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786577 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.785178 [18] validation_0-merror:0.35 validation_0-mlogloss:0.778613 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771418 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771732 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76426 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.76686 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.76149 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758624 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.758468 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756063 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.75634 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.756581 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.757928 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.759515 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.75789 Stopping. Best iteration: [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756063 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05205 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00861 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.980417 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942639 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922488 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90382 [6] validation_0-merror:0.3 validation_0-mlogloss:0.882565 [7] validation_0-merror:0.3 validation_0-mlogloss:0.861223 [8] validation_0-merror:0.3 validation_0-mlogloss:0.852412 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.847409 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839306 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.83591 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821066 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814631 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801328 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.792195 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787455 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780839 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.78015 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.772906 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.764961 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.763219 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759512 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.757542 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.751752 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752877 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749495 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749171 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.751583 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.750318 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751607 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.752948 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.746091 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746973 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.745471 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.749243 [36] validation_0-merror:0.35 validation_0-mlogloss:0.741931 [37] validation_0-merror:0.35 validation_0-mlogloss:0.745447 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.747873 [39] validation_0-merror:0.35 validation_0-mlogloss:0.746746 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.748809 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.751508 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.741931 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00433 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97148 [3] validation_0-merror:0.3 validation_0-mlogloss:0.938594 [4] validation_0-merror:0.3 validation_0-mlogloss:0.915186 [5] validation_0-merror:0.3 validation_0-mlogloss:0.892534 [6] validation_0-merror:0.3 validation_0-mlogloss:0.874121 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.856798 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.841045 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.828502 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821648 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809748 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797436 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789085 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782244 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77387 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.768447 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762096 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.757552 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749419 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745283 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.737894 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.735199 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.733426 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729535 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.728918 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.726133 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.725078 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.723145 [29] validation_0-merror:0.3 validation_0-mlogloss:0.725438 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.723333 [31] validation_0-merror:0.3 validation_0-mlogloss:0.724922 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.724629 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.719277 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.718624 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.719649 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.719278 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.719741 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.721207 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.722113 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.718624 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04789 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00592 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.970474 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.942933 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.915397 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.88991 [6] validation_0-merror:0.4 validation_0-mlogloss:0.869605 [7] validation_0-merror:0.4 validation_0-mlogloss:0.85918 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.844434 [9] validation_0-merror:0.4 validation_0-mlogloss:0.834288 [10] validation_0-merror:0.4 validation_0-mlogloss:0.82887 [11] validation_0-merror:0.4 validation_0-mlogloss:0.827872 [12] validation_0-merror:0.4 validation_0-mlogloss:0.828429 [13] validation_0-merror:0.4 validation_0-mlogloss:0.822037 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.820066 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.811303 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.809393 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.804394 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.800759 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.79902 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.801863 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.798421 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.80107 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.794168 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.795536 [25] validation_0-merror:0.35 validation_0-mlogloss:0.790934 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.793001 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.790963 [28] validation_0-merror:0.35 validation_0-mlogloss:0.796554 [29] validation_0-merror:0.35 validation_0-mlogloss:0.803406 [30] validation_0-merror:0.35 validation_0-mlogloss:0.804795 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.790934 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04723 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00776 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97131 [3] validation_0-merror:0.35 validation_0-mlogloss:0.940036 [4] validation_0-merror:0.35 validation_0-mlogloss:0.907929 [5] validation_0-merror:0.35 validation_0-mlogloss:0.889141 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871537 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859053 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84811 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839872 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831775 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.821854 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813982 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.810159 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.805083 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803858 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803213 [17] validation_0-merror:0.3 validation_0-mlogloss:0.797675 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.795851 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.795543 [20] validation_0-merror:0.35 validation_0-mlogloss:0.795038 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.795372 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.791003 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.786871 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782856 [25] validation_0-merror:0.3 validation_0-mlogloss:0.77729 [26] validation_0-merror:0.3 validation_0-mlogloss:0.775735 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.771609 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.770981 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.773032 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.773969 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.77519 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.776202 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.776832 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.770981 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0477 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0074 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948626 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9271 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905148 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869754 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852752 [9] validation_0-merror:0.3 validation_0-mlogloss:0.837025 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826084 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813858 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805983 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795837 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78893 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780968 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769745 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765293 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757125 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751565 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.742762 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.73813 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.735457 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727327 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718795 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713515 [26] validation_0-merror:0.3 validation_0-mlogloss:0.714547 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709809 [28] validation_0-merror:0.3 validation_0-mlogloss:0.704079 [29] validation_0-merror:0.3 validation_0-mlogloss:0.704494 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704368 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704381 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704446 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.708143 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.704079 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985114 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950777 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924837 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90337 [6] validation_0-merror:0.4 validation_0-mlogloss:0.885045 [7] validation_0-merror:0.4 validation_0-mlogloss:0.871225 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.853031 [9] validation_0-merror:0.4 validation_0-mlogloss:0.846437 [10] validation_0-merror:0.4 validation_0-mlogloss:0.838417 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829682 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827165 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818112 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813011 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801043 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795021 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792269 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.78596 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779102 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775197 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.764049 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763243 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.758404 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758581 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756433 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.751535 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750516 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.740158 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739043 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.741436 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.743197 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74292 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.743677 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74972 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739043 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994202 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963559 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942398 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921813 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900184 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886675 [8] validation_0-merror:0.3 validation_0-mlogloss:0.87168 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858168 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851665 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842483 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.826962 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.822117 [14] validation_0-merror:0.3 validation_0-mlogloss:0.805713 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789965 [16] validation_0-merror:0.3 validation_0-mlogloss:0.782243 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.774996 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.774164 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.764871 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768257 [21] validation_0-merror:0.3 validation_0-mlogloss:0.769205 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.768899 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.766104 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766387 Stopping. Best iteration: [19] validation_0-merror:0.283333 validation_0-mlogloss:0.764871 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00856 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.973824 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947327 [4] validation_0-merror:0.35 validation_0-mlogloss:0.922752 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.902556 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881464 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86283 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.84636 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.828246 [10] validation_0-merror:0.35 validation_0-mlogloss:0.818816 [11] validation_0-merror:0.3 validation_0-mlogloss:0.800333 [12] validation_0-merror:0.35 validation_0-mlogloss:0.789184 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.782785 [14] validation_0-merror:0.3 validation_0-mlogloss:0.775232 [15] validation_0-merror:0.3 validation_0-mlogloss:0.7642 [16] validation_0-merror:0.3 validation_0-mlogloss:0.754535 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749785 [18] validation_0-merror:0.3 validation_0-mlogloss:0.741517 [19] validation_0-merror:0.3 validation_0-mlogloss:0.737187 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.729588 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.721921 [22] validation_0-merror:0.25 validation_0-mlogloss:0.716064 [23] validation_0-merror:0.25 validation_0-mlogloss:0.71361 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.710265 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.705018 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.701849 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.700539 [28] validation_0-merror:0.216667 validation_0-mlogloss:0.697557 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.69802 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.697095 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.695161 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.696102 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696387 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697844 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.695822 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.696499 Stopping. Best iteration: [31] validation_0-merror:0.266667 validation_0-mlogloss:0.695161 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01124 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974001 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.936595 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917592 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900525 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88219 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86846 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.85222 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.840132 [10] validation_0-merror:0.4 validation_0-mlogloss:0.827061 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.819811 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.814543 [13] validation_0-merror:0.4 validation_0-mlogloss:0.808917 [14] validation_0-merror:0.4 validation_0-mlogloss:0.797 [15] validation_0-merror:0.4 validation_0-mlogloss:0.789917 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784706 [17] validation_0-merror:0.4 validation_0-mlogloss:0.773557 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.76782 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.760525 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.757443 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.753328 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.762146 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.758281 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755472 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.757036 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.752568 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.749541 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748736 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.748119 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749778 [31] validation_0-merror:0.35 validation_0-mlogloss:0.756764 [32] validation_0-merror:0.35 validation_0-mlogloss:0.756216 [33] validation_0-merror:0.35 validation_0-mlogloss:0.757324 [34] validation_0-merror:0.35 validation_0-mlogloss:0.759567 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.748119 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01197 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979477 [3] validation_0-merror:0.3 validation_0-mlogloss:0.943814 [4] validation_0-merror:0.3 validation_0-mlogloss:0.924631 [5] validation_0-merror:0.3 validation_0-mlogloss:0.908337 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885279 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.867216 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.860973 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856048 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853209 [11] validation_0-merror:0.3 validation_0-mlogloss:0.847357 [12] validation_0-merror:0.3 validation_0-mlogloss:0.837316 [13] validation_0-merror:0.3 validation_0-mlogloss:0.833839 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.82348 [15] validation_0-merror:0.3 validation_0-mlogloss:0.812281 [16] validation_0-merror:0.3 validation_0-mlogloss:0.801769 [17] validation_0-merror:0.3 validation_0-mlogloss:0.794101 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790031 [19] validation_0-merror:0.3 validation_0-mlogloss:0.782155 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774311 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772485 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.764109 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.758919 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756116 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756857 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754516 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.75558 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.756476 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.760816 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.760839 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.758328 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754516 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00281 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967783 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.937027 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909637 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889477 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872161 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855687 [8] validation_0-merror:0.35 validation_0-mlogloss:0.843341 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830224 [10] validation_0-merror:0.35 validation_0-mlogloss:0.821502 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814128 [12] validation_0-merror:0.35 validation_0-mlogloss:0.804504 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799627 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792299 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783558 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776515 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770988 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765774 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761537 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759337 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.756405 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.755684 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757511 [24] validation_0-merror:0.3 validation_0-mlogloss:0.757255 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755003 [26] validation_0-merror:0.3 validation_0-mlogloss:0.752859 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749164 [28] validation_0-merror:0.3 validation_0-mlogloss:0.744567 [29] validation_0-merror:0.3 validation_0-mlogloss:0.742424 [30] validation_0-merror:0.3 validation_0-mlogloss:0.743563 [31] validation_0-merror:0.3 validation_0-mlogloss:0.743192 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.742747 [33] validation_0-merror:0.3 validation_0-mlogloss:0.743573 [34] validation_0-merror:0.3 validation_0-mlogloss:0.741937 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.738122 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.731864 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.731674 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.73033 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.731823 [40] validation_0-merror:0.3 validation_0-mlogloss:0.731057 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.72992 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.731321 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.729676 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.724079 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.726213 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.725794 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.72559 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.723522 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.726556 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.726165 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.725093 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.726123 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.726052 Stopping. Best iteration: [48] validation_0-merror:0.283333 validation_0-mlogloss:0.723522 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04776 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0027 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.966074 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.93451 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.908003 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.887467 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.869726 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.853222 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838907 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.827801 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817331 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.806314 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799052 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.795597 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78765 [15] validation_0-merror:0.35 validation_0-mlogloss:0.786844 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783105 [17] validation_0-merror:0.35 validation_0-mlogloss:0.777939 [18] validation_0-merror:0.35 validation_0-mlogloss:0.77215 [19] validation_0-merror:0.35 validation_0-mlogloss:0.768986 [20] validation_0-merror:0.35 validation_0-mlogloss:0.772172 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767215 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761709 [23] validation_0-merror:0.35 validation_0-mlogloss:0.759623 [24] validation_0-merror:0.35 validation_0-mlogloss:0.763035 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761444 [26] validation_0-merror:0.35 validation_0-mlogloss:0.763541 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760693 [28] validation_0-merror:0.35 validation_0-mlogloss:0.761071 Stopping. Best iteration: [23] validation_0-merror:0.35 validation_0-mlogloss:0.759623 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00781 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975288 [3] validation_0-merror:0.35 validation_0-mlogloss:0.946624 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924674 [5] validation_0-merror:0.35 validation_0-mlogloss:0.903008 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886452 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869298 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858022 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846321 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840747 [11] validation_0-merror:0.3 validation_0-mlogloss:0.831826 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.823839 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.820066 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.81395 [15] validation_0-merror:0.3 validation_0-mlogloss:0.813618 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.815419 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.814391 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.811628 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.803383 [20] validation_0-merror:0.3 validation_0-mlogloss:0.799218 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801028 [22] validation_0-merror:0.3 validation_0-mlogloss:0.799012 [23] validation_0-merror:0.3 validation_0-mlogloss:0.798526 [24] validation_0-merror:0.3 validation_0-mlogloss:0.797792 [25] validation_0-merror:0.3 validation_0-mlogloss:0.792413 [26] validation_0-merror:0.3 validation_0-mlogloss:0.793032 [27] validation_0-merror:0.3 validation_0-mlogloss:0.790933 [28] validation_0-merror:0.3 validation_0-mlogloss:0.785817 [29] validation_0-merror:0.3 validation_0-mlogloss:0.782939 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.782975 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.780705 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.778291 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.777187 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.774624 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.774387 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.772033 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.770081 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.771142 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.768905 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.766578 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.770047 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.769648 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.771555 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.775479 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.774218 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.766578 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01121 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.4 validation_0-mlogloss:0.949096 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926134 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90546 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888343 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871509 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.858155 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840054 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829674 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.818438 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81163 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.804442 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800234 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789057 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77474 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768748 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762346 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75733 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746927 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.742791 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.737749 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7266 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719117 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.712294 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.71369 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.703075 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.702529 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.704987 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.705823 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.706946 [32] validation_0-merror:0.3 validation_0-mlogloss:0.7052 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.703306 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.702529 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02153 [2] validation_0-merror:0.4 validation_0-mlogloss:0.988744 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956944 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.934559 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913859 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.894727 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.880714 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860209 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851234 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842196 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829394 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827552 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819061 [14] validation_0-merror:0.4 validation_0-mlogloss:0.808514 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80309 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791656 [17] validation_0-merror:0.4 validation_0-mlogloss:0.788598 [18] validation_0-merror:0.4 validation_0-mlogloss:0.786985 [19] validation_0-merror:0.4 validation_0-mlogloss:0.776035 [20] validation_0-merror:0.4 validation_0-mlogloss:0.771146 [21] validation_0-merror:0.4 validation_0-mlogloss:0.768372 [22] validation_0-merror:0.4 validation_0-mlogloss:0.769109 [23] validation_0-merror:0.4 validation_0-mlogloss:0.765805 [24] validation_0-merror:0.4 validation_0-mlogloss:0.765027 [25] validation_0-merror:0.4 validation_0-mlogloss:0.766903 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.759738 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759258 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.757082 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.755575 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.757311 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.75735 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.757542 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.757126 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.758297 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.755575 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966538 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9449 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926689 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.910507 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.895672 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879273 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866891 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.859238 [11] validation_0-merror:0.35 validation_0-mlogloss:0.848577 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832576 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825122 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816245 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.805941 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.798604 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789659 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791298 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.788422 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.787849 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.787288 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.78594 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.779364 [24] validation_0-merror:0.35 validation_0-mlogloss:0.777272 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776107 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768035 [27] validation_0-merror:0.35 validation_0-mlogloss:0.76656 [28] validation_0-merror:0.35 validation_0-mlogloss:0.76184 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761277 [30] validation_0-merror:0.35 validation_0-mlogloss:0.758041 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755551 [32] validation_0-merror:0.35 validation_0-mlogloss:0.757128 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.757815 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.758058 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.757706 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.757574 Stopping. Best iteration: [31] validation_0-merror:0.35 validation_0-mlogloss:0.755551 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0104 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977812 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951242 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.929879 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909491 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88856 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869341 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852757 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.835128 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822688 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805384 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793403 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784424 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781151 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.772658 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.763467 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.758313 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750373 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.747204 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738428 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733604 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.725836 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.720782 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714813 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716398 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715534 [27] validation_0-merror:0.3 validation_0-mlogloss:0.710501 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709153 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708328 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.705907 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705002 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.704928 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.703042 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704064 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.699225 [36] validation_0-merror:0.3 validation_0-mlogloss:0.703292 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.70061 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.698986 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.696681 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.697185 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.695595 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693869 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.697178 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.698939 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.698945 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.698559 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.700911 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693869 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04959 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01519 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.981417 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.94611 [4] validation_0-merror:0.35 validation_0-mlogloss:0.922926 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901553 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885993 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.87685 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.863769 [9] validation_0-merror:0.433333 validation_0-mlogloss:0.849659 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.832612 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824995 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.817802 [13] validation_0-merror:0.4 validation_0-mlogloss:0.809684 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.797948 [15] validation_0-merror:0.4 validation_0-mlogloss:0.790965 [16] validation_0-merror:0.4 validation_0-mlogloss:0.783833 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.776329 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.769916 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76324 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.761708 [21] validation_0-merror:0.35 validation_0-mlogloss:0.756872 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759944 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754832 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75448 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.759923 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753335 [27] validation_0-merror:0.35 validation_0-mlogloss:0.753396 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754986 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756955 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762304 [31] validation_0-merror:0.35 validation_0-mlogloss:0.764298 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753335 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01394 [2] validation_0-merror:0.3 validation_0-mlogloss:0.984919 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.954291 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.936066 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920871 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900047 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882282 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.87197 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865829 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862506 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.85484 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.846139 [13] validation_0-merror:0.3 validation_0-mlogloss:0.842408 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.830486 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.821036 [16] validation_0-merror:0.3 validation_0-mlogloss:0.811401 [17] validation_0-merror:0.3 validation_0-mlogloss:0.801543 [18] validation_0-merror:0.3 validation_0-mlogloss:0.798342 [19] validation_0-merror:0.3 validation_0-mlogloss:0.789925 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.784014 [21] validation_0-merror:0.3 validation_0-mlogloss:0.782504 [22] validation_0-merror:0.3 validation_0-mlogloss:0.778625 [23] validation_0-merror:0.3 validation_0-mlogloss:0.779083 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.777545 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.774918 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774552 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.772806 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.771536 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.772175 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.774025 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773357 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.768854 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.768297 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.768107 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.772995 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.771011 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.77051 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.770997 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.77258 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.768107 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05115 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01325 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981913 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954987 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93029 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911795 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896345 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882513 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869249 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857327 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.847916 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840294 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831089 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82519 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.819215 [15] validation_0-merror:0.35 validation_0-mlogloss:0.811301 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805451 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795562 [18] validation_0-merror:0.35 validation_0-mlogloss:0.78893 [19] validation_0-merror:0.35 validation_0-mlogloss:0.779379 [20] validation_0-merror:0.35 validation_0-mlogloss:0.777868 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776562 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775533 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769765 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770562 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766802 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.765813 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765119 [28] validation_0-merror:0.3 validation_0-mlogloss:0.761609 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.758695 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.756127 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.757981 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.757094 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.755467 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.75537 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.754991 [36] validation_0-merror:0.3 validation_0-mlogloss:0.75312 [37] validation_0-merror:0.3 validation_0-mlogloss:0.751707 [38] validation_0-merror:0.3 validation_0-mlogloss:0.751009 [39] validation_0-merror:0.3 validation_0-mlogloss:0.75086 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.750748 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.75036 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.750189 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.751116 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.752608 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.751894 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.750318 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.748144 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.746355 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.744423 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.744661 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.742799 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.74056 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.742368 [54] validation_0-merror:0.3 validation_0-mlogloss:0.742209 [55] validation_0-merror:0.3 validation_0-mlogloss:0.739397 [56] validation_0-merror:0.3 validation_0-mlogloss:0.74058 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.742131 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.741795 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.740956 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.74055 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.739397 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00745 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.972267 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.942822 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919725 [5] validation_0-merror:0.4 validation_0-mlogloss:0.899275 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.877942 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.860714 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.845031 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.832485 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.826629 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.813432 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.809352 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.805247 [14] validation_0-merror:0.4 validation_0-mlogloss:0.800774 [15] validation_0-merror:0.4 validation_0-mlogloss:0.798796 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79068 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793308 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786984 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.784221 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784858 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783501 [22] validation_0-merror:0.35 validation_0-mlogloss:0.781357 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776427 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773075 [25] validation_0-merror:0.35 validation_0-mlogloss:0.772735 [26] validation_0-merror:0.35 validation_0-mlogloss:0.772404 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.771709 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.769454 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.772354 [30] validation_0-merror:0.35 validation_0-mlogloss:0.774439 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.77519 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.775888 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.778032 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.769454 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05152 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.35 validation_0-mlogloss:0.979022 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.950874 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931459 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913347 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.901038 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882017 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869721 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.862282 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.851336 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841386 [12] validation_0-merror:0.3 validation_0-mlogloss:0.837033 [13] validation_0-merror:0.3 validation_0-mlogloss:0.830975 [14] validation_0-merror:0.3 validation_0-mlogloss:0.83232 [15] validation_0-merror:0.3 validation_0-mlogloss:0.830448 [16] validation_0-merror:0.3 validation_0-mlogloss:0.826987 [17] validation_0-merror:0.3 validation_0-mlogloss:0.821555 [18] validation_0-merror:0.3 validation_0-mlogloss:0.81736 [19] validation_0-merror:0.3 validation_0-mlogloss:0.810319 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.805062 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.799725 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.795908 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.79302 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.78837 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.786551 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.780699 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.781139 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.780388 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.772043 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.770966 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.768669 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.763159 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.762358 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.76537 [35] validation_0-merror:0.3 validation_0-mlogloss:0.767045 [36] validation_0-merror:0.3 validation_0-mlogloss:0.764487 [37] validation_0-merror:0.3 validation_0-mlogloss:0.767873 [38] validation_0-merror:0.3 validation_0-mlogloss:0.766579 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.762358 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904891 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887917 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871761 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858541 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840827 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829091 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820904 [12] validation_0-merror:0.35 validation_0-mlogloss:0.812514 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.801985 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797752 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792401 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783532 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777121 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771188 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764789 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757063 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753293 [22] validation_0-merror:0.3 validation_0-mlogloss:0.749624 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742025 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734132 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.730791 [26] validation_0-merror:0.3 validation_0-mlogloss:0.730033 [27] validation_0-merror:0.3 validation_0-mlogloss:0.724102 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720851 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.719549 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719718 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71653 [32] validation_0-merror:0.3 validation_0-mlogloss:0.716958 [33] validation_0-merror:0.3 validation_0-mlogloss:0.721094 [34] validation_0-merror:0.3 validation_0-mlogloss:0.720912 [35] validation_0-merror:0.3 validation_0-mlogloss:0.723112 [36] validation_0-merror:0.3 validation_0-mlogloss:0.725992 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.71653 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994072 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.961102 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937942 [5] validation_0-merror:0.4 validation_0-mlogloss:0.918526 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.898816 [7] validation_0-merror:0.4 validation_0-mlogloss:0.883993 [8] validation_0-merror:0.4 validation_0-mlogloss:0.86501 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.856016 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.845444 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.83262 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.830171 [13] validation_0-merror:0.4 validation_0-mlogloss:0.820833 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810089 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800877 [16] validation_0-merror:0.4 validation_0-mlogloss:0.78919 [17] validation_0-merror:0.4 validation_0-mlogloss:0.783808 [18] validation_0-merror:0.4 validation_0-mlogloss:0.780153 [19] validation_0-merror:0.4 validation_0-mlogloss:0.771168 [20] validation_0-merror:0.4 validation_0-mlogloss:0.766249 [21] validation_0-merror:0.4 validation_0-mlogloss:0.761982 [22] validation_0-merror:0.4 validation_0-mlogloss:0.760381 [23] validation_0-merror:0.4 validation_0-mlogloss:0.758532 [24] validation_0-merror:0.4 validation_0-mlogloss:0.756217 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761455 [26] validation_0-merror:0.4 validation_0-mlogloss:0.754031 [27] validation_0-merror:0.4 validation_0-mlogloss:0.750928 [28] validation_0-merror:0.4 validation_0-mlogloss:0.749797 [29] validation_0-merror:0.4 validation_0-mlogloss:0.746665 [30] validation_0-merror:0.4 validation_0-mlogloss:0.747187 [31] validation_0-merror:0.4 validation_0-mlogloss:0.748799 [32] validation_0-merror:0.4 validation_0-mlogloss:0.745497 [33] validation_0-merror:0.4 validation_0-mlogloss:0.739931 [34] validation_0-merror:0.4 validation_0-mlogloss:0.740705 [35] validation_0-merror:0.4 validation_0-mlogloss:0.743045 [36] validation_0-merror:0.4 validation_0-mlogloss:0.743149 [37] validation_0-merror:0.4 validation_0-mlogloss:0.745437 [38] validation_0-merror:0.4 validation_0-mlogloss:0.75335 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.739931 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971465 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946297 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926245 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908588 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.89376 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87752 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861036 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.854292 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842695 [12] validation_0-merror:0.35 validation_0-mlogloss:0.826861 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.820363 [14] validation_0-merror:0.35 validation_0-mlogloss:0.809275 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799207 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792152 [17] validation_0-merror:0.35 validation_0-mlogloss:0.783944 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783029 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774737 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774236 [21] validation_0-merror:0.35 validation_0-mlogloss:0.768192 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763076 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756354 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75153 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74803 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.742431 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.740894 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737766 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73504 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.730819 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.729128 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727878 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.73136 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728773 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729298 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729895 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.72714 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.730428 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.727803 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.724166 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.719082 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.719742 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.719404 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.71915 [45] validation_0-merror:0.35 validation_0-mlogloss:0.716646 [46] validation_0-merror:0.35 validation_0-mlogloss:0.718647 [47] validation_0-merror:0.35 validation_0-mlogloss:0.721415 [48] validation_0-merror:0.35 validation_0-mlogloss:0.718536 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.717898 [50] validation_0-merror:0.35 validation_0-mlogloss:0.717771 Stopping. Best iteration: [45] validation_0-merror:0.35 validation_0-mlogloss:0.716646 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01679 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.9823 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954841 [4] validation_0-merror:0.4 validation_0-mlogloss:0.933773 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912488 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890233 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87083 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853899 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83716 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824383 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808683 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.793399 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785484 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779186 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770218 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762246 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762796 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.752095 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749939 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745262 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740101 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734553 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729699 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.725928 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720162 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718909 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71334 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.710132 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71233 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711152 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.710798 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709643 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70935 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.70884 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.703914 [36] validation_0-merror:0.25 validation_0-mlogloss:0.703324 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.707639 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.704886 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704433 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706163 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705285 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.703324 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984859 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.953671 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929429 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913821 [6] validation_0-merror:0.4 validation_0-mlogloss:0.900021 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888708 [8] validation_0-merror:0.4 validation_0-mlogloss:0.875027 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.858652 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845441 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.836887 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.82846 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819045 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811255 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.807465 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.800112 [17] validation_0-merror:0.4 validation_0-mlogloss:0.793297 [18] validation_0-merror:0.4 validation_0-mlogloss:0.785683 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780479 [20] validation_0-merror:0.4 validation_0-mlogloss:0.779493 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774629 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.776193 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770987 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.7691 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.76954 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.762248 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760331 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761488 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.762701 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.76439 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.766278 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.766609 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760331 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923236 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903063 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885446 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874622 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850951 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841654 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831111 [13] validation_0-merror:0.3 validation_0-mlogloss:0.82611 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818175 [15] validation_0-merror:0.3 validation_0-mlogloss:0.812628 [16] validation_0-merror:0.3 validation_0-mlogloss:0.8095 [17] validation_0-merror:0.3 validation_0-mlogloss:0.805828 [18] validation_0-merror:0.3 validation_0-mlogloss:0.80094 [19] validation_0-merror:0.3 validation_0-mlogloss:0.790512 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.785965 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.787673 [22] validation_0-merror:0.3 validation_0-mlogloss:0.783722 [23] validation_0-merror:0.3 validation_0-mlogloss:0.780015 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781361 [25] validation_0-merror:0.3 validation_0-mlogloss:0.785935 [26] validation_0-merror:0.3 validation_0-mlogloss:0.780658 [27] validation_0-merror:0.3 validation_0-mlogloss:0.777934 [28] validation_0-merror:0.3 validation_0-mlogloss:0.779242 [29] validation_0-merror:0.3 validation_0-mlogloss:0.776432 [30] validation_0-merror:0.3 validation_0-mlogloss:0.776599 [31] validation_0-merror:0.3 validation_0-mlogloss:0.775597 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773278 [33] validation_0-merror:0.3 validation_0-mlogloss:0.771757 [34] validation_0-merror:0.3 validation_0-mlogloss:0.770674 [35] validation_0-merror:0.3 validation_0-mlogloss:0.77309 [36] validation_0-merror:0.3 validation_0-mlogloss:0.772577 [37] validation_0-merror:0.3 validation_0-mlogloss:0.771156 [38] validation_0-merror:0.3 validation_0-mlogloss:0.768909 [39] validation_0-merror:0.3 validation_0-mlogloss:0.769165 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.76731 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.766339 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.764826 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.762134 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.762528 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.763506 [46] validation_0-merror:0.3 validation_0-mlogloss:0.762318 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761614 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.76136 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.761781 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.762125 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.763274 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.767754 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.766131 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.76136 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05142 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01449 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983726 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956969 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935971 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.915795 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899929 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.884679 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.8712 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859865 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.850529 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840437 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834794 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.825794 [14] validation_0-merror:0.4 validation_0-mlogloss:0.816824 [15] validation_0-merror:0.4 validation_0-mlogloss:0.811138 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80666 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.80558 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.803081 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.798489 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.797094 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.795773 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.796416 [23] validation_0-merror:0.35 validation_0-mlogloss:0.79213 [24] validation_0-merror:0.35 validation_0-mlogloss:0.788605 [25] validation_0-merror:0.35 validation_0-mlogloss:0.78574 [26] validation_0-merror:0.35 validation_0-mlogloss:0.78336 [27] validation_0-merror:0.35 validation_0-mlogloss:0.782082 [28] validation_0-merror:0.35 validation_0-mlogloss:0.77936 [29] validation_0-merror:0.35 validation_0-mlogloss:0.774074 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.769853 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767907 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.767441 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.764849 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.765032 [35] validation_0-merror:0.35 validation_0-mlogloss:0.764424 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.763186 [37] validation_0-merror:0.35 validation_0-mlogloss:0.763432 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.762121 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.761484 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.761908 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.761544 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.762812 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.763263 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.762782 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.761484 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04766 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00744 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.973823 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945062 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.920055 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.898331 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882284 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867506 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.858078 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845105 [10] validation_0-merror:0.4 validation_0-mlogloss:0.836833 [11] validation_0-merror:0.4 validation_0-mlogloss:0.832202 [12] validation_0-merror:0.4 validation_0-mlogloss:0.82365 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819472 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811322 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802689 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799728 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.79286 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791392 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.79044 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.787304 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.787039 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.784887 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.783912 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77897 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.776158 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.772916 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768788 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.769838 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.768155 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.77248 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.772838 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.772591 [33] validation_0-merror:0.35 validation_0-mlogloss:0.773144 [34] validation_0-merror:0.35 validation_0-mlogloss:0.776246 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.768155 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01442 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978862 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957423 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927453 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.905015 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.890088 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876974 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863441 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852369 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841649 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.832141 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.827323 [13] validation_0-merror:0.3 validation_0-mlogloss:0.814896 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807248 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800534 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.796278 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794712 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791257 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788663 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.787117 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.783018 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.78195 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.781551 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.778055 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.773477 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.770731 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.766989 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.764412 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.764036 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.761165 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.758595 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.7568 [33] validation_0-merror:0.3 validation_0-mlogloss:0.755607 [34] validation_0-merror:0.3 validation_0-mlogloss:0.756719 [35] validation_0-merror:0.3 validation_0-mlogloss:0.758343 [36] validation_0-merror:0.3 validation_0-mlogloss:0.756312 [37] validation_0-merror:0.3 validation_0-mlogloss:0.757389 [38] validation_0-merror:0.3 validation_0-mlogloss:0.756984 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.755607 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04941 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0063 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974369 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.944662 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919025 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897798 [6] validation_0-merror:0.35 validation_0-mlogloss:0.875737 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859572 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837604 [9] validation_0-merror:0.3 validation_0-mlogloss:0.816833 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.803511 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.79197 [12] validation_0-merror:0.3 validation_0-mlogloss:0.784446 [13] validation_0-merror:0.3 validation_0-mlogloss:0.775679 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.765574 [15] validation_0-merror:0.3 validation_0-mlogloss:0.759236 [16] validation_0-merror:0.3 validation_0-mlogloss:0.754431 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.749298 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.744197 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.736515 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731868 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.732093 [22] validation_0-merror:0.25 validation_0-mlogloss:0.7299 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.724602 [24] validation_0-merror:0.25 validation_0-mlogloss:0.715403 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.710179 [26] validation_0-merror:0.25 validation_0-mlogloss:0.710043 [27] validation_0-merror:0.25 validation_0-mlogloss:0.703787 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.700924 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703718 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703751 [31] validation_0-merror:0.3 validation_0-mlogloss:0.709302 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714816 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713353 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.700924 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06141 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01772 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980751 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.951842 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928741 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909195 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.887143 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.873521 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.859694 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.8548 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.845241 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.837857 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.833235 [13] validation_0-merror:0.4 validation_0-mlogloss:0.824613 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.814112 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802925 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79657 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.798949 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.79316 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.78413 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784322 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774806 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775572 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770628 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.770293 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.771097 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.771681 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.774913 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.774647 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.774187 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.770293 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987237 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951954 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919286 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.898007 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880645 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864004 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851253 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835412 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836671 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.81964 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801578 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798642 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784547 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771519 [16] validation_0-merror:0.35 validation_0-mlogloss:0.762273 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.748279 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749653 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746179 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743814 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741888 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.739869 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.739147 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.739402 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736164 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745847 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748597 [28] validation_0-merror:0.35 validation_0-mlogloss:0.74937 [29] validation_0-merror:0.35 validation_0-mlogloss:0.748272 [30] validation_0-merror:0.35 validation_0-mlogloss:0.750106 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736164 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04747 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00853 [2] validation_0-merror:0.35 validation_0-mlogloss:0.966997 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939678 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913762 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889175 [6] validation_0-merror:0.35 validation_0-mlogloss:0.869072 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.850581 [8] validation_0-merror:0.3 validation_0-mlogloss:0.831965 [9] validation_0-merror:0.3 validation_0-mlogloss:0.816923 [10] validation_0-merror:0.3 validation_0-mlogloss:0.807948 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.792114 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.783228 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.776753 [14] validation_0-merror:0.25 validation_0-mlogloss:0.767184 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.7605 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.753938 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.747369 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.740809 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.740256 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731806 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.725335 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.721273 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.716909 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.707817 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.705891 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.70455 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.702588 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.703722 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.70184 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.699344 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.703787 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.703339 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.704667 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705544 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.707054 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.699344 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0534 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01494 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.977642 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.934727 [4] validation_0-merror:0.35 validation_0-mlogloss:0.911948 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.897399 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.876622 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859272 [8] validation_0-merror:0.35 validation_0-mlogloss:0.844177 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83611 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.826758 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819912 [12] validation_0-merror:0.35 validation_0-mlogloss:0.814929 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807051 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794951 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791599 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783987 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.781842 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778828 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.778405 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.776284 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773897 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777717 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.773697 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.771617 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.773718 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.77157 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771634 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.77113 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.774171 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.774876 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773862 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.775039 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7811 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.77113 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05585 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01376 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954232 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93211 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.919562 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898564 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880631 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.868657 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863098 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855094 [11] validation_0-merror:0.35 validation_0-mlogloss:0.85073 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.844007 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.841479 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.84199 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.832548 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.828862 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.822389 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.82248 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.819351 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.814093 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.817447 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.814374 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.814602 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.815221 [25] validation_0-merror:0.35 validation_0-mlogloss:0.810757 [26] validation_0-merror:0.35 validation_0-mlogloss:0.812 [27] validation_0-merror:0.35 validation_0-mlogloss:0.810821 [28] validation_0-merror:0.35 validation_0-mlogloss:0.814887 [29] validation_0-merror:0.35 validation_0-mlogloss:0.820092 [30] validation_0-merror:0.35 validation_0-mlogloss:0.825748 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.810757 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04438 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.998873 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.961605 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.933329 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.91116 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885699 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.864876 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.842719 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.827993 [9] validation_0-merror:0.3 validation_0-mlogloss:0.811877 [10] validation_0-merror:0.3 validation_0-mlogloss:0.800273 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.788973 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.77116 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.76098 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.753747 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.744033 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.739433 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.733528 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.725746 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.720866 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.713187 [21] validation_0-merror:0.25 validation_0-mlogloss:0.708585 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.708404 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.705908 [24] validation_0-merror:0.25 validation_0-mlogloss:0.697424 [25] validation_0-merror:0.25 validation_0-mlogloss:0.692823 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.69314 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.691225 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.689848 [29] validation_0-merror:0.25 validation_0-mlogloss:0.68645 [30] validation_0-merror:0.25 validation_0-mlogloss:0.686329 [31] validation_0-merror:0.25 validation_0-mlogloss:0.685713 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.684247 [33] validation_0-merror:0.25 validation_0-mlogloss:0.683702 [34] validation_0-merror:0.25 validation_0-mlogloss:0.683197 [35] validation_0-merror:0.25 validation_0-mlogloss:0.683774 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.68234 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.684745 [38] validation_0-merror:0.25 validation_0-mlogloss:0.686644 [39] validation_0-merror:0.25 validation_0-mlogloss:0.686059 [40] validation_0-merror:0.25 validation_0-mlogloss:0.688546 [41] validation_0-merror:0.25 validation_0-mlogloss:0.689562 Stopping. Best iteration: [36] validation_0-merror:0.233333 validation_0-mlogloss:0.68234 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0498 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00697 [2] validation_0-merror:0.35 validation_0-mlogloss:0.96868 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937493 [4] validation_0-merror:0.35 validation_0-mlogloss:0.907389 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.886685 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.866814 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.855033 [8] validation_0-merror:0.3 validation_0-mlogloss:0.840897 [9] validation_0-merror:0.3 validation_0-mlogloss:0.830965 [10] validation_0-merror:0.3 validation_0-mlogloss:0.825121 [11] validation_0-merror:0.3 validation_0-mlogloss:0.816962 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81404 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806219 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801402 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.801333 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796139 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.797108 [18] validation_0-merror:0.35 validation_0-mlogloss:0.796743 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.796446 [20] validation_0-merror:0.35 validation_0-mlogloss:0.799436 [21] validation_0-merror:0.35 validation_0-mlogloss:0.798389 Stopping. Best iteration: [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796139 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05564 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01514 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980607 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956816 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.935637 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923441 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909442 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.897576 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.88919 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.879959 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.873482 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.862876 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.855333 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.853509 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.851024 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.852013 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.854155 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.856139 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.860022 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.862947 Stopping. Best iteration: [14] validation_0-merror:0.383333 validation_0-mlogloss:0.851024 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04734 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00311 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.974286 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.947763 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.919638 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899888 [6] validation_0-merror:0.35 validation_0-mlogloss:0.8773 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864495 [8] validation_0-merror:0.35 validation_0-mlogloss:0.846859 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.828551 [10] validation_0-merror:0.35 validation_0-mlogloss:0.81893 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.808727 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.801566 [13] validation_0-merror:0.3 validation_0-mlogloss:0.795449 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790256 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782549 [16] validation_0-merror:0.35 validation_0-mlogloss:0.778339 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771534 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76059 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754123 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747095 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739808 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.737218 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728707 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72056 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.71405 [26] validation_0-merror:0.3 validation_0-mlogloss:0.713569 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.706451 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.7004 [29] validation_0-merror:0.3 validation_0-mlogloss:0.701604 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698451 [31] validation_0-merror:0.3 validation_0-mlogloss:0.6999 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701454 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698974 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698235 [35] validation_0-merror:0.3 validation_0-mlogloss:0.702771 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7076 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712107 [38] validation_0-merror:0.3 validation_0-mlogloss:0.709019 [39] validation_0-merror:0.3 validation_0-mlogloss:0.707985 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.698235 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06167 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.025 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989331 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956713 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930566 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91092 [6] validation_0-merror:0.4 validation_0-mlogloss:0.890681 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871157 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855387 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846627 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839316 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826644 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825564 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815886 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809227 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799622 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.791024 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.791053 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789906 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.787569 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.786552 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.780774 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.783321 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.784673 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.781567 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.778736 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.774881 [27] validation_0-merror:0.35 validation_0-mlogloss:0.778379 [28] validation_0-merror:0.35 validation_0-mlogloss:0.770753 [29] validation_0-merror:0.35 validation_0-mlogloss:0.772792 [30] validation_0-merror:0.35 validation_0-mlogloss:0.772488 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.775323 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.775413 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.774566 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.770753 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05207 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01429 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979968 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947191 [4] validation_0-merror:0.3 validation_0-mlogloss:0.917998 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.898539 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880995 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868246 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856542 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839566 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836946 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.823684 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807978 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802774 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789035 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775969 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765002 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.751042 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749347 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.747431 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743898 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742107 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74157 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.739055 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741351 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742039 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.739428 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734111 [28] validation_0-merror:0.3 validation_0-mlogloss:0.737133 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739485 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734786 [31] validation_0-merror:0.3 validation_0-mlogloss:0.734653 [32] validation_0-merror:0.3 validation_0-mlogloss:0.736168 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734111 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01127 [2] validation_0-merror:0.35 validation_0-mlogloss:0.973207 [3] validation_0-merror:0.3 validation_0-mlogloss:0.944292 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92357 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897114 [6] validation_0-merror:0.35 validation_0-mlogloss:0.877885 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.855507 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.83669 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.822634 [10] validation_0-merror:0.3 validation_0-mlogloss:0.811619 [11] validation_0-merror:0.3 validation_0-mlogloss:0.795021 [12] validation_0-merror:0.3 validation_0-mlogloss:0.781904 [13] validation_0-merror:0.3 validation_0-mlogloss:0.775232 [14] validation_0-merror:0.3 validation_0-mlogloss:0.770523 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.76539 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.758862 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.755194 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.74501 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.740744 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.732194 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.725294 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.723178 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.720345 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.709615 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.703964 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.704049 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696593 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.693329 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.692496 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.689986 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.693745 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.69291 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.693766 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.694541 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.69465 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.689986 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04869 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01262 [2] validation_0-merror:0.4 validation_0-mlogloss:0.973937 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.932307 [4] validation_0-merror:0.35 validation_0-mlogloss:0.905921 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894255 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870957 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.85699 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.839859 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.825441 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.812252 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804396 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797065 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794376 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78612 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780069 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777399 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773288 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.769814 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766497 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765192 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.759377 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762837 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762105 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761988 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760059 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756025 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.757857 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.756042 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.760467 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.765274 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.765634 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.756025 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05496 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0131 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.982861 [3] validation_0-merror:0.35 validation_0-mlogloss:0.944257 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922087 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905574 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.884891 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866001 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852661 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846934 [10] validation_0-merror:0.3 validation_0-mlogloss:0.837109 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83325 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818208 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813687 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801236 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.79417 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.784517 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.778531 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776972 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76987 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762709 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761715 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758274 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.755794 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.751426 [25] validation_0-merror:0.3 validation_0-mlogloss:0.752412 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755583 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755982 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.756553 [29] validation_0-merror:0.35 validation_0-mlogloss:0.76007 Stopping. Best iteration: [24] validation_0-merror:0.283333 validation_0-mlogloss:0.751426 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0046 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.971434 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.939245 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914761 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.893059 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.875114 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.860335 [8] validation_0-merror:0.3 validation_0-mlogloss:0.845551 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833209 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82302 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.814265 [12] validation_0-merror:0.3 validation_0-mlogloss:0.80294 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797786 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790638 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783357 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773083 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76578 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759076 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756942 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753329 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749788 [22] validation_0-merror:0.3 validation_0-mlogloss:0.751283 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74661 [24] validation_0-merror:0.3 validation_0-mlogloss:0.743652 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.74504 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.742262 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.740592 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740963 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.741593 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.740241 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740078 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.740174 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.741753 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.744004 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.744063 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.747117 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740078 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04752 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00655 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.970633 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.938982 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.914326 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.890585 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.872613 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.856682 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838205 [9] validation_0-merror:0.4 validation_0-mlogloss:0.825456 [10] validation_0-merror:0.4 validation_0-mlogloss:0.813195 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.799063 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.796754 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789369 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785943 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780963 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779362 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777825 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774037 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775568 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775579 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774246 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.777869 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772142 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773466 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778103 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774682 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.776332 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.778658 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772142 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04838 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00959 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976829 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94484 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917021 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.891561 [6] validation_0-merror:0.35 validation_0-mlogloss:0.876595 [7] validation_0-merror:0.35 validation_0-mlogloss:0.85969 [8] validation_0-merror:0.35 validation_0-mlogloss:0.84644 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.824684 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819867 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816277 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811934 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808928 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806135 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803432 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802783 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.804279 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.807165 [20] validation_0-merror:0.35 validation_0-mlogloss:0.807978 [21] validation_0-merror:0.35 validation_0-mlogloss:0.809308 [22] validation_0-merror:0.35 validation_0-mlogloss:0.811656 Stopping. Best iteration: [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802783 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977265 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947368 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925023 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903254 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883085 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850181 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834396 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823581 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812087 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804123 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794518 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788266 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781902 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770866 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769203 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.760949 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755339 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746558 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742113 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738832 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730656 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722307 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717369 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.71835 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711149 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.705558 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.705913 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704431 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.706045 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706567 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70417 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.705227 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.703172 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.70357 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.708974 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.704583 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.702039 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.699839 [41] validation_0-merror:0.3 validation_0-mlogloss:0.696236 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697122 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.696991 [44] validation_0-merror:0.3 validation_0-mlogloss:0.695926 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.692937 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694274 [47] validation_0-merror:0.3 validation_0-mlogloss:0.696065 [48] validation_0-merror:0.3 validation_0-mlogloss:0.693776 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.689578 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.692997 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.692209 [52] validation_0-merror:0.3 validation_0-mlogloss:0.691137 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.691881 [54] validation_0-merror:0.3 validation_0-mlogloss:0.693262 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.689578 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02308 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987189 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954737 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929045 [5] validation_0-merror:0.4 validation_0-mlogloss:0.908725 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888219 [7] validation_0-merror:0.4 validation_0-mlogloss:0.874311 [8] validation_0-merror:0.4 validation_0-mlogloss:0.856555 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849996 [10] validation_0-merror:0.4 validation_0-mlogloss:0.841561 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828443 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824604 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816419 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.811363 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800803 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795337 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796444 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791895 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784453 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783091 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77364 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77357 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.768666 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766699 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764827 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759636 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.756504 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.746902 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745999 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.748094 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.750858 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.7507 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.747396 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.754842 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745999 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992644 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959458 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938262 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917092 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897555 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883832 [8] validation_0-merror:0.3 validation_0-mlogloss:0.868824 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.856185 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849692 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835948 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821434 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.815309 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801464 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785688 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775001 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.767901 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.76528 [19] validation_0-merror:0.3 validation_0-mlogloss:0.76066 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.763783 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764636 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762444 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.759374 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76024 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755331 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.750112 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.744195 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.737404 [29] validation_0-merror:0.3 validation_0-mlogloss:0.737634 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.733873 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.732343 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.734988 [33] validation_0-merror:0.3 validation_0-mlogloss:0.738038 [34] validation_0-merror:0.3 validation_0-mlogloss:0.735923 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.737741 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738096 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.732343 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04962 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00896 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977724 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948595 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925475 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906335 [6] validation_0-merror:0.35 validation_0-mlogloss:0.887952 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867396 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850163 [9] validation_0-merror:0.35 validation_0-mlogloss:0.832152 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822121 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806328 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.796762 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791191 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.784052 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774333 [16] validation_0-merror:0.3 validation_0-mlogloss:0.766147 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.763017 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.752443 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.750871 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.743426 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.734991 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.731467 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.730411 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730472 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725912 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723278 [27] validation_0-merror:0.3 validation_0-mlogloss:0.719377 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.717085 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.721822 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722938 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722499 [32] validation_0-merror:0.3 validation_0-mlogloss:0.722566 [33] validation_0-merror:0.3 validation_0-mlogloss:0.723315 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.717085 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.970751 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.934687 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.91528 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900182 [6] validation_0-merror:0.4 validation_0-mlogloss:0.877195 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.859845 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.844891 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.829394 [10] validation_0-merror:0.4 validation_0-mlogloss:0.816004 [11] validation_0-merror:0.4 validation_0-mlogloss:0.808266 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.800934 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.794725 [14] validation_0-merror:0.4 validation_0-mlogloss:0.782384 [15] validation_0-merror:0.4 validation_0-mlogloss:0.777581 [16] validation_0-merror:0.4 validation_0-mlogloss:0.77275 [17] validation_0-merror:0.4 validation_0-mlogloss:0.763975 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.756572 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.75511 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.755744 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.755492 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76024 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.759001 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.757686 Stopping. Best iteration: [19] validation_0-merror:0.383333 validation_0-mlogloss:0.75511 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05065 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01378 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980705 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947037 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.925882 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.90887 [6] validation_0-merror:0.3 validation_0-mlogloss:0.884563 [7] validation_0-merror:0.3 validation_0-mlogloss:0.865948 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.851828 [9] validation_0-merror:0.3 validation_0-mlogloss:0.845784 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837378 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.832137 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824181 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.821774 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.813692 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.804218 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.793066 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.785351 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.782094 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.772938 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.767434 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.767512 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76248 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.761785 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.764058 [25] validation_0-merror:0.3 validation_0-mlogloss:0.766529 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.768536 [27] validation_0-merror:0.3 validation_0-mlogloss:0.76781 [28] validation_0-merror:0.3 validation_0-mlogloss:0.771574 Stopping. Best iteration: [23] validation_0-merror:0.283333 validation_0-mlogloss:0.761785 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04638 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00314 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.966601 [3] validation_0-merror:0.3 validation_0-mlogloss:0.936573 [4] validation_0-merror:0.3 validation_0-mlogloss:0.911247 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890003 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.873356 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856771 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842978 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832782 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823404 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817239 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809812 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800713 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795338 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790912 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782532 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776017 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.770418 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767992 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760657 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75826 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.752904 [23] validation_0-merror:0.3 validation_0-mlogloss:0.747685 [24] validation_0-merror:0.3 validation_0-mlogloss:0.746863 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.742051 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738711 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.734948 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.730749 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.731949 [30] validation_0-merror:0.3 validation_0-mlogloss:0.735299 [31] validation_0-merror:0.3 validation_0-mlogloss:0.739789 [32] validation_0-merror:0.3 validation_0-mlogloss:0.739198 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.736561 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.730749 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04997 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969187 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.937768 [4] validation_0-merror:0.35 validation_0-mlogloss:0.915194 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894556 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.877974 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.860766 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.843963 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835235 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818745 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.806639 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79926 [13] validation_0-merror:0.35 validation_0-mlogloss:0.792585 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784861 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780151 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.774002 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.771446 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.767703 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.765536 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758334 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760381 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75647 [23] validation_0-merror:0.35 validation_0-mlogloss:0.753497 [24] validation_0-merror:0.35 validation_0-mlogloss:0.756193 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755404 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753058 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756063 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.753681 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.752424 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.752986 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.756497 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.75789 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.757296 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.759888 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.752424 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00775 [2] validation_0-merror:0.35 validation_0-mlogloss:0.974587 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94469 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919383 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901823 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.878945 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.862073 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849863 [9] validation_0-merror:0.35 validation_0-mlogloss:0.836961 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825259 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819319 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813805 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808776 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805404 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80008 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.798678 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799384 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.793115 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.79422 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.7945 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.793228 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.789448 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.790793 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.792741 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.795115 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.794876 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.798074 Stopping. Best iteration: [22] validation_0-merror:0.266667 validation_0-mlogloss:0.789448 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01128 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977604 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9485 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925836 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906309 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886593 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870288 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858594 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840963 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830353 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820357 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811732 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804721 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798797 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791247 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777353 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772645 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766114 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762087 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.750822 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745576 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729831 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724073 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.719509 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.721242 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71048 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708952 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710754 [30] validation_0-merror:0.3 validation_0-mlogloss:0.711073 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713034 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711471 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712826 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708952 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989311 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95741 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.934952 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.915377 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.896204 [7] validation_0-merror:0.4 validation_0-mlogloss:0.881327 [8] validation_0-merror:0.4 validation_0-mlogloss:0.861047 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851969 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842832 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829224 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826949 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818603 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810662 [15] validation_0-merror:0.4 validation_0-mlogloss:0.804983 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794506 [17] validation_0-merror:0.4 validation_0-mlogloss:0.79192 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791355 [19] validation_0-merror:0.4 validation_0-mlogloss:0.78417 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776725 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774746 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775659 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.77311 [24] validation_0-merror:0.4 validation_0-mlogloss:0.769741 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773117 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766004 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.765669 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.760793 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.758974 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.75885 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.758864 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.759584 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7577 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.7635 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.767458 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.769583 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.77223 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.779239 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7577 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965122 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943406 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923978 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.907268 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.892728 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.877898 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865556 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.857978 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.84724 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83135 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823913 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816016 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806039 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799064 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792533 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790052 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.787124 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782839 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776972 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775929 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768783 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766546 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.764649 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757717 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755977 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750769 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.7496 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745885 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744025 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744452 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744442 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.743176 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742764 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.744931 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742327 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.744043 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.740132 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.736659 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733091 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.73751 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735259 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.733436 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.7321 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.737261 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.737478 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.73631 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.734033 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.738556 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.7321 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01104 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.97869 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95141 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.931734 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911064 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888186 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866753 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845876 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829126 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.817753 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.803463 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.792418 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784898 [14] validation_0-merror:0.3 validation_0-mlogloss:0.780841 [15] validation_0-merror:0.3 validation_0-mlogloss:0.771131 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.762285 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.757637 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752567 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.749139 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.7393 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.734769 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.729605 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.722048 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.716461 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.715726 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.713503 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.710045 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708605 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.711413 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.708021 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.707824 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.708045 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.707006 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.70975 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.707645 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70699 [37] validation_0-merror:0.25 validation_0-mlogloss:0.702877 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.700801 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.700273 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.700914 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.70093 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.699255 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700147 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.702902 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.701378 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.700752 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.702001 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.699255 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04993 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01428 [2] validation_0-merror:0.35 validation_0-mlogloss:0.978936 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944791 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.919778 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900124 [6] validation_0-merror:0.4 validation_0-mlogloss:0.883918 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.874249 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862959 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851979 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.835123 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826493 [12] validation_0-merror:0.4 validation_0-mlogloss:0.819726 [13] validation_0-merror:0.4 validation_0-mlogloss:0.811615 [14] validation_0-merror:0.4 validation_0-mlogloss:0.796721 [15] validation_0-merror:0.4 validation_0-mlogloss:0.790444 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.78382 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779366 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775521 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.768126 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.770292 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766804 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774148 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.768862 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768356 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772506 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.77256 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766804 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.95443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937296 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921842 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900886 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883145 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.872664 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.866097 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862658 [11] validation_0-merror:0.3 validation_0-mlogloss:0.854146 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.845971 [13] validation_0-merror:0.3 validation_0-mlogloss:0.842077 [14] validation_0-merror:0.3 validation_0-mlogloss:0.827431 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.817975 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.8071 [17] validation_0-merror:0.3 validation_0-mlogloss:0.796114 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.794703 [19] validation_0-merror:0.3 validation_0-mlogloss:0.788977 [20] validation_0-merror:0.3 validation_0-mlogloss:0.784999 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.782735 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.775066 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.775618 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.775095 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.773841 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.772082 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771375 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.774243 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.774834 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.776891 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.776998 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.773406 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771375 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05019 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01178 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979928 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953047 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930493 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909411 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893802 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.880156 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86787 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854327 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845022 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834205 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827801 [13] validation_0-merror:0.35 validation_0-mlogloss:0.821137 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814481 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809652 [16] validation_0-merror:0.35 validation_0-mlogloss:0.804801 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795414 [18] validation_0-merror:0.35 validation_0-mlogloss:0.791514 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.785486 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783497 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.776518 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772197 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.770017 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764436 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.763327 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.759242 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.761257 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757238 [29] validation_0-merror:0.3 validation_0-mlogloss:0.754664 [30] validation_0-merror:0.3 validation_0-mlogloss:0.75537 [31] validation_0-merror:0.3 validation_0-mlogloss:0.753496 [32] validation_0-merror:0.3 validation_0-mlogloss:0.751348 [33] validation_0-merror:0.3 validation_0-mlogloss:0.751966 [34] validation_0-merror:0.3 validation_0-mlogloss:0.749093 [35] validation_0-merror:0.3 validation_0-mlogloss:0.748785 [36] validation_0-merror:0.3 validation_0-mlogloss:0.747831 [37] validation_0-merror:0.3 validation_0-mlogloss:0.749679 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.750442 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.748147 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.748991 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.749082 Stopping. Best iteration: [36] validation_0-merror:0.3 validation_0-mlogloss:0.747831 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9232 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90569 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886513 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871385 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.854789 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.842326 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.834945 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824058 [12] validation_0-merror:0.4 validation_0-mlogloss:0.820406 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818489 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809501 [15] validation_0-merror:0.4 validation_0-mlogloss:0.808127 [16] validation_0-merror:0.4 validation_0-mlogloss:0.804373 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.804288 [18] validation_0-merror:0.4 validation_0-mlogloss:0.803422 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.798899 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.799379 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.796209 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.793871 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.793244 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.790999 [25] validation_0-merror:0.35 validation_0-mlogloss:0.788565 [26] validation_0-merror:0.35 validation_0-mlogloss:0.791 [27] validation_0-merror:0.35 validation_0-mlogloss:0.787485 [28] validation_0-merror:0.35 validation_0-mlogloss:0.788271 [29] validation_0-merror:0.35 validation_0-mlogloss:0.788406 [30] validation_0-merror:0.35 validation_0-mlogloss:0.790869 [31] validation_0-merror:0.35 validation_0-mlogloss:0.790454 [32] validation_0-merror:0.35 validation_0-mlogloss:0.791486 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.787485 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952651 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933096 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.91056 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895546 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878111 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863888 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856735 [10] validation_0-merror:0.3 validation_0-mlogloss:0.845184 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834441 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825964 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824065 [14] validation_0-merror:0.3 validation_0-mlogloss:0.82389 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824193 [16] validation_0-merror:0.3 validation_0-mlogloss:0.825221 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.820574 [18] validation_0-merror:0.3 validation_0-mlogloss:0.819736 [19] validation_0-merror:0.3 validation_0-mlogloss:0.816009 [20] validation_0-merror:0.3 validation_0-mlogloss:0.812135 [21] validation_0-merror:0.3 validation_0-mlogloss:0.807744 [22] validation_0-merror:0.3 validation_0-mlogloss:0.807071 [23] validation_0-merror:0.3 validation_0-mlogloss:0.805369 [24] validation_0-merror:0.3 validation_0-mlogloss:0.801809 [25] validation_0-merror:0.3 validation_0-mlogloss:0.798157 [26] validation_0-merror:0.3 validation_0-mlogloss:0.798156 [27] validation_0-merror:0.3 validation_0-mlogloss:0.797871 [28] validation_0-merror:0.3 validation_0-mlogloss:0.796348 [29] validation_0-merror:0.3 validation_0-mlogloss:0.791081 [30] validation_0-merror:0.3 validation_0-mlogloss:0.790793 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.782322 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.77601 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.77403 [34] validation_0-merror:0.3 validation_0-mlogloss:0.769882 [35] validation_0-merror:0.3 validation_0-mlogloss:0.768879 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.767488 [37] validation_0-merror:0.3 validation_0-mlogloss:0.769809 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.768945 [39] validation_0-merror:0.3 validation_0-mlogloss:0.76644 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.769905 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.773034 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.774609 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.772274 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.773048 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.76644 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904891 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88571 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869126 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855019 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837473 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824228 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816265 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.807594 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796192 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792191 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784901 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774514 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768653 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76258 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756139 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749386 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744945 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.741606 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.73432 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.72645 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.720543 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.719634 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.713322 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.7102 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.710029 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710371 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70996 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711305 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708712 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708247 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709373 [36] validation_0-merror:0.3 validation_0-mlogloss:0.71219 [37] validation_0-merror:0.3 validation_0-mlogloss:0.717092 [38] validation_0-merror:0.3 validation_0-mlogloss:0.712283 [39] validation_0-merror:0.3 validation_0-mlogloss:0.71083 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.708247 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99409 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.93792 [5] validation_0-merror:0.4 validation_0-mlogloss:0.91849 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897934 [7] validation_0-merror:0.4 validation_0-mlogloss:0.883014 [8] validation_0-merror:0.4 validation_0-mlogloss:0.863994 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.854946 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.844687 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830844 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.828282 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814619 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80635 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800585 [16] validation_0-merror:0.4 validation_0-mlogloss:0.787926 [17] validation_0-merror:0.4 validation_0-mlogloss:0.782571 [18] validation_0-merror:0.4 validation_0-mlogloss:0.778735 [19] validation_0-merror:0.4 validation_0-mlogloss:0.772812 [20] validation_0-merror:0.4 validation_0-mlogloss:0.766371 [21] validation_0-merror:0.4 validation_0-mlogloss:0.761234 [22] validation_0-merror:0.4 validation_0-mlogloss:0.759661 [23] validation_0-merror:0.4 validation_0-mlogloss:0.755927 [24] validation_0-merror:0.4 validation_0-mlogloss:0.753895 [25] validation_0-merror:0.4 validation_0-mlogloss:0.759225 [26] validation_0-merror:0.4 validation_0-mlogloss:0.751693 [27] validation_0-merror:0.4 validation_0-mlogloss:0.748602 [28] validation_0-merror:0.4 validation_0-mlogloss:0.747515 [29] validation_0-merror:0.4 validation_0-mlogloss:0.743869 [30] validation_0-merror:0.4 validation_0-mlogloss:0.744291 [31] validation_0-merror:0.4 validation_0-mlogloss:0.745857 [32] validation_0-merror:0.4 validation_0-mlogloss:0.742405 [33] validation_0-merror:0.4 validation_0-mlogloss:0.73807 [34] validation_0-merror:0.4 validation_0-mlogloss:0.73878 [35] validation_0-merror:0.4 validation_0-mlogloss:0.74092 [36] validation_0-merror:0.4 validation_0-mlogloss:0.742372 [37] validation_0-merror:0.4 validation_0-mlogloss:0.745038 [38] validation_0-merror:0.4 validation_0-mlogloss:0.752754 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.73807 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945141 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925114 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907486 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.892631 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876408 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.859971 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853219 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.841621 [12] validation_0-merror:0.35 validation_0-mlogloss:0.82582 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819285 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807288 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798964 [16] validation_0-merror:0.35 validation_0-mlogloss:0.791887 [17] validation_0-merror:0.35 validation_0-mlogloss:0.783676 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782707 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774465 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77407 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767944 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762709 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755475 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75074 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.747275 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744685 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743141 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739936 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737094 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734629 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732836 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732259 [33] validation_0-merror:0.35 validation_0-mlogloss:0.735825 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.736071 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73661 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738598 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.736023 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732259 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978489 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949938 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926992 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905633 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880039 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861797 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.843376 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827234 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815034 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801581 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786103 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.778048 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.771279 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.760107 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75467 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754747 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751322 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748793 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743247 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734179 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727439 [24] validation_0-merror:0.3 validation_0-mlogloss:0.724143 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724467 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7219 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.717642 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714336 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716155 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714943 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714967 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714021 [33] validation_0-merror:0.3 validation_0-mlogloss:0.715803 [34] validation_0-merror:0.3 validation_0-mlogloss:0.715957 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71363 [36] validation_0-merror:0.3 validation_0-mlogloss:0.715379 [37] validation_0-merror:0.3 validation_0-mlogloss:0.716369 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713781 [39] validation_0-merror:0.3 validation_0-mlogloss:0.713638 [40] validation_0-merror:0.3 validation_0-mlogloss:0.713753 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.71363 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984362 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953769 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930781 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914705 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.893409 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.88235 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.870536 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854238 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840996 [11] validation_0-merror:0.4 validation_0-mlogloss:0.833665 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82522 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816156 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809837 [15] validation_0-merror:0.4 validation_0-mlogloss:0.806159 [16] validation_0-merror:0.4 validation_0-mlogloss:0.798944 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792464 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786071 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782893 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784028 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778066 [22] validation_0-merror:0.4 validation_0-mlogloss:0.779802 [23] validation_0-merror:0.4 validation_0-mlogloss:0.77585 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777838 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.776954 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769919 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.767764 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.768271 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.771699 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.770967 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.769723 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.770042 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.767764 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923236 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903063 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885446 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874622 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852154 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842836 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835124 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827932 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819746 [15] validation_0-merror:0.3 validation_0-mlogloss:0.815203 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.812816 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.810124 [18] validation_0-merror:0.3 validation_0-mlogloss:0.805257 [19] validation_0-merror:0.3 validation_0-mlogloss:0.791668 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788445 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.790236 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.785656 [23] validation_0-merror:0.3 validation_0-mlogloss:0.781968 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781221 [25] validation_0-merror:0.3 validation_0-mlogloss:0.782767 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781702 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.779763 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.781592 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.78015 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.780248 [31] validation_0-merror:0.3 validation_0-mlogloss:0.780068 [32] validation_0-merror:0.3 validation_0-mlogloss:0.779883 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.779763 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01173 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980161 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95393 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932425 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.914324 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896191 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868773 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.856945 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.847444 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837263 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828876 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819612 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.812132 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.804912 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799342 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.79299 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792233 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.788466 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.787518 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.782618 [22] validation_0-merror:0.35 validation_0-mlogloss:0.778862 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776368 [24] validation_0-merror:0.35 validation_0-mlogloss:0.7737 [25] validation_0-merror:0.35 validation_0-mlogloss:0.76839 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76352 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757207 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.755233 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.751588 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.748927 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746808 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.744101 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741628 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741463 [35] validation_0-merror:0.3 validation_0-mlogloss:0.740216 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.742835 [37] validation_0-merror:0.3 validation_0-mlogloss:0.741958 [38] validation_0-merror:0.3 validation_0-mlogloss:0.742117 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.740382 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.741676 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.740216 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.048 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00805 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97455 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945132 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919278 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.897479 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.877649 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.861986 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.846918 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838205 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.828681 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.81792 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.812493 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.810352 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.804266 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798437 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790828 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786017 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.782274 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779869 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777801 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778131 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775696 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.774757 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.772295 [25] validation_0-merror:0.4 validation_0-mlogloss:0.769231 [26] validation_0-merror:0.4 validation_0-mlogloss:0.771223 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769837 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.772234 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.769736 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.770052 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.769231 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908872 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891205 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878814 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865076 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857926 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845094 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839453 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832131 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823605 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820685 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.815844 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.81561 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.811275 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.809245 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.806354 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.803129 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798497 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.796372 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.793038 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.792091 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.791513 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.788424 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.785641 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.78046 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.777136 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.775547 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.776025 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.772276 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.769128 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.768431 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.766744 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.766278 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.762876 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.762138 [39] validation_0-merror:0.3 validation_0-mlogloss:0.761481 [40] validation_0-merror:0.3 validation_0-mlogloss:0.761863 [41] validation_0-merror:0.3 validation_0-mlogloss:0.761206 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.76209 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760924 [44] validation_0-merror:0.3 validation_0-mlogloss:0.762602 [45] validation_0-merror:0.3 validation_0-mlogloss:0.762082 [46] validation_0-merror:0.3 validation_0-mlogloss:0.763442 [47] validation_0-merror:0.3 validation_0-mlogloss:0.763517 [48] validation_0-merror:0.3 validation_0-mlogloss:0.764204 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760924 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05122 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00697 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975042 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94698 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921671 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.877936 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862207 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837492 [9] validation_0-merror:0.35 validation_0-mlogloss:0.823445 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.810991 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.799082 [12] validation_0-merror:0.3 validation_0-mlogloss:0.794586 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789954 [14] validation_0-merror:0.3 validation_0-mlogloss:0.780247 [15] validation_0-merror:0.3 validation_0-mlogloss:0.771972 [16] validation_0-merror:0.3 validation_0-mlogloss:0.766589 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761405 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757125 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.749961 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.745496 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744947 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741704 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73565 [24] validation_0-merror:0.3 validation_0-mlogloss:0.725851 [25] validation_0-merror:0.3 validation_0-mlogloss:0.720072 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718445 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.711906 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.709133 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712914 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712905 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717732 [32] validation_0-merror:0.3 validation_0-mlogloss:0.72274 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720759 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.709133 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02107 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984003 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.954554 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931153 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.908722 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.883498 [7] validation_0-merror:0.4 validation_0-mlogloss:0.869796 [8] validation_0-merror:0.4 validation_0-mlogloss:0.854781 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.841824 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.832301 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.823955 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.824508 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816031 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.806167 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.794139 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.788021 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790166 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.784256 [19] validation_0-merror:0.35 validation_0-mlogloss:0.781147 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781493 [21] validation_0-merror:0.35 validation_0-mlogloss:0.775152 [22] validation_0-merror:0.35 validation_0-mlogloss:0.774441 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771913 [24] validation_0-merror:0.35 validation_0-mlogloss:0.771555 [25] validation_0-merror:0.35 validation_0-mlogloss:0.770779 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.771656 [27] validation_0-merror:0.35 validation_0-mlogloss:0.773558 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.769286 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.768621 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.770803 [31] validation_0-merror:0.35 validation_0-mlogloss:0.769514 [32] validation_0-merror:0.35 validation_0-mlogloss:0.769697 [33] validation_0-merror:0.35 validation_0-mlogloss:0.768663 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.76586 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.76675 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.769715 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.774983 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.779702 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.786436 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.76586 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987237 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951954 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919286 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.898007 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880645 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864004 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851253 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835412 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836671 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.821056 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802931 [13] validation_0-merror:0.35 validation_0-mlogloss:0.799858 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786334 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775129 [16] validation_0-merror:0.35 validation_0-mlogloss:0.76576 [17] validation_0-merror:0.35 validation_0-mlogloss:0.753846 [18] validation_0-merror:0.35 validation_0-mlogloss:0.756175 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.752486 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.749964 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747857 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.744726 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74391 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743551 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743174 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753538 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758163 [28] validation_0-merror:0.35 validation_0-mlogloss:0.760459 [29] validation_0-merror:0.35 validation_0-mlogloss:0.759195 [30] validation_0-merror:0.35 validation_0-mlogloss:0.76088 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743174 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04705 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00744 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.96724 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939302 [4] validation_0-merror:0.35 validation_0-mlogloss:0.915158 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.89101 [6] validation_0-merror:0.35 validation_0-mlogloss:0.87289 [7] validation_0-merror:0.35 validation_0-mlogloss:0.852669 [8] validation_0-merror:0.3 validation_0-mlogloss:0.832525 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.818056 [10] validation_0-merror:0.3 validation_0-mlogloss:0.805572 [11] validation_0-merror:0.3 validation_0-mlogloss:0.789148 [12] validation_0-merror:0.3 validation_0-mlogloss:0.782567 [13] validation_0-merror:0.3 validation_0-mlogloss:0.773737 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.764124 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.758609 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.753692 [17] validation_0-merror:0.25 validation_0-mlogloss:0.748288 [18] validation_0-merror:0.25 validation_0-mlogloss:0.744555 [19] validation_0-merror:0.25 validation_0-mlogloss:0.743654 [20] validation_0-merror:0.25 validation_0-mlogloss:0.734177 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.727814 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.723189 [23] validation_0-merror:0.25 validation_0-mlogloss:0.718188 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.712917 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.709937 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.70897 [27] validation_0-merror:0.25 validation_0-mlogloss:0.705674 [28] validation_0-merror:0.25 validation_0-mlogloss:0.706057 [29] validation_0-merror:0.25 validation_0-mlogloss:0.707019 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.702037 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.70543 [32] validation_0-merror:0.25 validation_0-mlogloss:0.707877 [33] validation_0-merror:0.25 validation_0-mlogloss:0.709242 [34] validation_0-merror:0.25 validation_0-mlogloss:0.709323 [35] validation_0-merror:0.25 validation_0-mlogloss:0.711741 Stopping. Best iteration: [30] validation_0-merror:0.233333 validation_0-mlogloss:0.702037 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05306 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01417 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978648 [3] validation_0-merror:0.35 validation_0-mlogloss:0.935436 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.910898 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.893255 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872066 [7] validation_0-merror:0.35 validation_0-mlogloss:0.854817 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.841795 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.833396 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823675 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811059 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803721 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797214 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.786477 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.783353 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.7795 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777255 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.774748 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775269 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.7768 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773842 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.776985 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.778186 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.776269 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778467 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.780924 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773842 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05585 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01376 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.987189 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.95286 [4] validation_0-merror:0.3 validation_0-mlogloss:0.930442 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917882 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893388 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.875047 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863054 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.85825 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849196 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843512 [12] validation_0-merror:0.3 validation_0-mlogloss:0.836616 [13] validation_0-merror:0.3 validation_0-mlogloss:0.834076 [14] validation_0-merror:0.35 validation_0-mlogloss:0.830876 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.826343 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.821706 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.818024 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.817998 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.813963 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.811834 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.819298 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.819089 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.818607 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.822028 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.8233 Stopping. Best iteration: [20] validation_0-merror:0.316667 validation_0-mlogloss:0.811834 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04488 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.999812 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.963985 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.936524 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.914028 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.891782 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.871072 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.853638 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.837379 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.825147 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.803913 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.790567 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.779246 [13] validation_0-merror:0.233333 validation_0-mlogloss:0.771177 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.764057 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.760748 [16] validation_0-merror:0.233333 validation_0-mlogloss:0.75686 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.755964 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.755427 [19] validation_0-merror:0.216667 validation_0-mlogloss:0.749669 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.748327 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.746277 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.744194 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.741742 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.740713 [25] validation_0-merror:0.25 validation_0-mlogloss:0.741291 [26] validation_0-merror:0.25 validation_0-mlogloss:0.739786 [27] validation_0-merror:0.25 validation_0-mlogloss:0.741442 [28] validation_0-merror:0.25 validation_0-mlogloss:0.739744 [29] validation_0-merror:0.25 validation_0-mlogloss:0.741652 [30] validation_0-merror:0.25 validation_0-mlogloss:0.742157 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.741025 [32] validation_0-merror:0.25 validation_0-mlogloss:0.73893 [33] validation_0-merror:0.25 validation_0-mlogloss:0.736927 [34] validation_0-merror:0.25 validation_0-mlogloss:0.739382 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.738898 [36] validation_0-merror:0.25 validation_0-mlogloss:0.739039 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.74085 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.741513 Stopping. Best iteration: [33] validation_0-merror:0.25 validation_0-mlogloss:0.736927 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05125 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0083 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.969754 [3] validation_0-merror:0.35 validation_0-mlogloss:0.938662 [4] validation_0-merror:0.35 validation_0-mlogloss:0.910253 [5] validation_0-merror:0.35 validation_0-mlogloss:0.887996 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.867958 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.854405 [8] validation_0-merror:0.3 validation_0-mlogloss:0.841664 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833854 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82541 [11] validation_0-merror:0.3 validation_0-mlogloss:0.818763 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813814 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811822 [14] validation_0-merror:0.3 validation_0-mlogloss:0.807589 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.805883 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.80247 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801236 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.798766 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.797636 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.798569 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.804362 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.804826 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.804177 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.806187 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.797636 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05605 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01552 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981788 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958359 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93939 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.925854 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909907 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898241 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.888912 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.878901 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.872656 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.862775 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.860014 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.855002 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.854881 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.853091 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.855877 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.857173 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.862751 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.865268 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.86681 Stopping. Best iteration: [15] validation_0-merror:0.383333 validation_0-mlogloss:0.853091 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04868 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00465 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975868 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.950214 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922564 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.901882 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878789 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86601 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849305 [9] validation_0-merror:0.3 validation_0-mlogloss:0.830002 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.82034 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809602 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802674 [13] validation_0-merror:0.3 validation_0-mlogloss:0.797638 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792591 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784703 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.780479 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.77758 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769088 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762646 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754599 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748971 [22] validation_0-merror:0.3 validation_0-mlogloss:0.746353 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.737816 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729888 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.722943 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722154 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.716679 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712451 [29] validation_0-merror:0.3 validation_0-mlogloss:0.715009 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712756 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.711845 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714302 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713663 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.712095 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.714869 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717956 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.711845 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06167 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.025 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989331 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956713 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930566 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91092 [6] validation_0-merror:0.4 validation_0-mlogloss:0.890446 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870922 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85174 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.843896 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836796 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.823386 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.821913 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.812178 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805679 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795885 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.787627 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.789104 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788383 [19] validation_0-merror:0.35 validation_0-mlogloss:0.786013 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785746 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777669 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.777799 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.774598 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.773796 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.77037 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765423 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769 [28] validation_0-merror:0.35 validation_0-mlogloss:0.757541 [29] validation_0-merror:0.35 validation_0-mlogloss:0.758974 [30] validation_0-merror:0.35 validation_0-mlogloss:0.758657 [31] validation_0-merror:0.35 validation_0-mlogloss:0.75926 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759191 [33] validation_0-merror:0.35 validation_0-mlogloss:0.762913 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.757541 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05207 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01429 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979968 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.947191 [4] validation_0-merror:0.3 validation_0-mlogloss:0.917998 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.898539 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880995 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868246 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856542 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.839566 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.836946 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.823684 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807978 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802774 [14] validation_0-merror:0.3 validation_0-mlogloss:0.788623 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.775553 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76458 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.750599 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.748914 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.746992 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743486 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741734 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741218 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73872 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.741007 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74169 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.739043 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734182 [28] validation_0-merror:0.3 validation_0-mlogloss:0.737211 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.739222 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.735263 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.735255 [32] validation_0-merror:0.3 validation_0-mlogloss:0.736786 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.734182 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05081 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01108 [2] validation_0-merror:0.35 validation_0-mlogloss:0.972929 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945168 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.923094 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896842 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878291 [7] validation_0-merror:0.35 validation_0-mlogloss:0.856814 [8] validation_0-merror:0.3 validation_0-mlogloss:0.837149 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821791 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.815444 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.799163 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786942 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.781534 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.775753 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.76723 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761084 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.756682 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.749057 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.745454 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.739014 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.730793 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731662 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.729597 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724819 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.720723 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.718209 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.712273 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.708878 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.706992 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703089 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703818 [32] validation_0-merror:0.3 validation_0-mlogloss:0.701884 [33] validation_0-merror:0.3 validation_0-mlogloss:0.701167 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701305 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701376 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.702852 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.700772 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.697596 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.695586 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.694248 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.695169 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.693548 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.69394 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.697648 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.700726 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.707888 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.7099 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.693548 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04869 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01296 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976103 [3] validation_0-merror:0.35 validation_0-mlogloss:0.934219 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.910453 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.898035 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.874491 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.860328 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.845983 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.831888 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.818568 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.811789 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808036 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.805927 [14] validation_0-merror:0.35 validation_0-mlogloss:0.79321 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787306 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780547 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778796 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772931 [19] validation_0-merror:0.35 validation_0-mlogloss:0.769482 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771532 [21] validation_0-merror:0.35 validation_0-mlogloss:0.76647 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772132 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77272 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.769522 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.771066 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.774497 Stopping. Best iteration: [21] validation_0-merror:0.35 validation_0-mlogloss:0.76647 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05496 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0131 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.982861 [3] validation_0-merror:0.35 validation_0-mlogloss:0.944257 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922087 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905574 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.884891 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866001 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852661 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846934 [10] validation_0-merror:0.3 validation_0-mlogloss:0.837109 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83325 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818742 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.814171 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80145 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796897 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.787558 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78503 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784027 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780884 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.774672 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772627 [22] validation_0-merror:0.3 validation_0-mlogloss:0.766647 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.764326 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766978 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766534 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769015 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769446 [28] validation_0-merror:0.35 validation_0-mlogloss:0.771653 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.764326 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05004 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00364 [2] validation_0-merror:0.3 validation_0-mlogloss:0.969367 [3] validation_0-merror:0.3 validation_0-mlogloss:0.935169 [4] validation_0-merror:0.3 validation_0-mlogloss:0.910969 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887086 [6] validation_0-merror:0.3 validation_0-mlogloss:0.869165 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.854079 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.842157 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.831369 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.824253 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.814489 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.8084 [13] validation_0-merror:0.25 validation_0-mlogloss:0.802012 [14] validation_0-merror:0.25 validation_0-mlogloss:0.794852 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.790112 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.784047 [17] validation_0-merror:0.25 validation_0-mlogloss:0.778651 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.775596 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.770084 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.769193 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.764492 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.760707 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.75911 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.757964 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.757463 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.757312 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.756741 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.756437 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.758194 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.760599 [31] validation_0-merror:0.216667 validation_0-mlogloss:0.762986 [32] validation_0-merror:0.216667 validation_0-mlogloss:0.76431 [33] validation_0-merror:0.216667 validation_0-mlogloss:0.764806 Stopping. Best iteration: [28] validation_0-merror:0.233333 validation_0-mlogloss:0.756437 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0487 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00843 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.971291 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939222 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.915326 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894138 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.873171 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86037 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.847723 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.837394 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.827033 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814944 [12] validation_0-merror:0.35 validation_0-mlogloss:0.807197 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795246 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793752 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790701 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792987 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788107 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786824 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78328 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.78192 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776882 [22] validation_0-merror:0.35 validation_0-mlogloss:0.780036 [23] validation_0-merror:0.35 validation_0-mlogloss:0.779771 [24] validation_0-merror:0.35 validation_0-mlogloss:0.784628 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.782394 [26] validation_0-merror:0.35 validation_0-mlogloss:0.78787 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776882 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04838 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00959 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976829 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94484 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917021 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.891941 [6] validation_0-merror:0.35 validation_0-mlogloss:0.876981 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.860498 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845817 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832188 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822773 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817657 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814499 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80933 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80627 [15] validation_0-merror:0.35 validation_0-mlogloss:0.808027 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799881 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793244 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79047 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790879 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.794267 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.797932 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.801092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.804712 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79047 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977265 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947368 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925023 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903254 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883085 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.850028 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834194 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823377 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811888 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80389 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794286 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788019 [15] validation_0-merror:0.35 validation_0-mlogloss:0.782788 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771701 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770088 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761789 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75698 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748159 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744052 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740724 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732478 [24] validation_0-merror:0.3 validation_0-mlogloss:0.724109 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71893 [26] validation_0-merror:0.3 validation_0-mlogloss:0.719796 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716626 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712182 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712566 [30] validation_0-merror:0.3 validation_0-mlogloss:0.715177 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713872 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.714277 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711758 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.712703 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.71011 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.712195 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.718054 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.713602 [39] validation_0-merror:0.35 validation_0-mlogloss:0.709553 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.708278 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.703017 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.705152 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.706557 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70554 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.702496 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.703409 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.706235 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704657 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.700676 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.704014 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.70318 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.702072 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.704179 [54] validation_0-merror:0.3 validation_0-mlogloss:0.706327 Stopping. Best iteration: [49] validation_0-merror:0.333333 validation_0-mlogloss:0.700676 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02308 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987669 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955236 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929567 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909256 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888786 [7] validation_0-merror:0.4 validation_0-mlogloss:0.875569 [8] validation_0-merror:0.4 validation_0-mlogloss:0.857621 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851213 [10] validation_0-merror:0.4 validation_0-mlogloss:0.84271 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828755 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824904 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816721 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810009 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799494 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795709 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.797809 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.793252 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787428 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783157 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774687 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774714 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770093 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.768028 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766968 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761859 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.75758 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.74623 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745729 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.74735 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.751842 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.751805 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.747319 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.754816 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745729 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992644 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959458 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938262 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917092 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897555 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883832 [8] validation_0-merror:0.3 validation_0-mlogloss:0.868824 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.856185 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849692 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835948 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821434 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.815309 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800596 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784829 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774148 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.767049 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.764429 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759817 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762927 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763795 [22] validation_0-merror:0.3 validation_0-mlogloss:0.761622 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.758571 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.759437 [25] validation_0-merror:0.3 validation_0-mlogloss:0.754521 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.749283 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.743374 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.736577 [29] validation_0-merror:0.3 validation_0-mlogloss:0.736782 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.733007 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.731452 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.734096 [33] validation_0-merror:0.3 validation_0-mlogloss:0.737139 [34] validation_0-merror:0.3 validation_0-mlogloss:0.735 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.736808 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.736191 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.731452 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04994 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00956 [2] validation_0-merror:0.3 validation_0-mlogloss:0.977783 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.949486 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.926985 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908089 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.884402 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.864225 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.846914 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.825713 [10] validation_0-merror:0.3 validation_0-mlogloss:0.815699 [11] validation_0-merror:0.3 validation_0-mlogloss:0.797978 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.788708 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784563 [14] validation_0-merror:0.3 validation_0-mlogloss:0.776699 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.767879 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760071 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.754579 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.749741 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.749484 [20] validation_0-merror:0.3 validation_0-mlogloss:0.739461 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732772 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72795 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72599 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.721797 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.721769 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.719679 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.71459 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.712238 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.71294 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.713619 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.714045 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712203 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.713281 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.71485 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.717154 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.718312 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.714822 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712203 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.971813 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.935603 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.916133 [5] validation_0-merror:0.4 validation_0-mlogloss:0.902948 [6] validation_0-merror:0.4 validation_0-mlogloss:0.879699 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861566 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.848841 [9] validation_0-merror:0.4 validation_0-mlogloss:0.836323 [10] validation_0-merror:0.4 validation_0-mlogloss:0.822335 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.814561 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.809024 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.799069 [14] validation_0-merror:0.4 validation_0-mlogloss:0.785969 [15] validation_0-merror:0.4 validation_0-mlogloss:0.781867 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.776278 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.772183 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.766334 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.759568 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.75848 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.758313 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761432 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760733 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760044 [25] validation_0-merror:0.35 validation_0-mlogloss:0.762217 [26] validation_0-merror:0.35 validation_0-mlogloss:0.763973 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.758313 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05065 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01378 [2] validation_0-merror:0.3 validation_0-mlogloss:0.980705 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947037 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.925882 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.90887 [6] validation_0-merror:0.3 validation_0-mlogloss:0.884563 [7] validation_0-merror:0.3 validation_0-mlogloss:0.865948 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.851828 [9] validation_0-merror:0.3 validation_0-mlogloss:0.845784 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837378 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.832137 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824181 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.821774 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.81363 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.804104 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.793024 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.786905 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.783683 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.774534 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.767188 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.763561 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758843 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.758015 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.75928 [25] validation_0-merror:0.3 validation_0-mlogloss:0.760098 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761377 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.761629 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.761855 Stopping. Best iteration: [23] validation_0-merror:0.283333 validation_0-mlogloss:0.758015 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04541 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.0013 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.964916 [3] validation_0-merror:0.3 validation_0-mlogloss:0.935007 [4] validation_0-merror:0.3 validation_0-mlogloss:0.91096 [5] validation_0-merror:0.3 validation_0-mlogloss:0.889581 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870509 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857614 [8] validation_0-merror:0.35 validation_0-mlogloss:0.843608 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829595 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819284 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810731 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803097 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797014 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792052 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785774 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775108 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.770634 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765509 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759331 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755628 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751212 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749409 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748249 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745165 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739417 [26] validation_0-merror:0.3 validation_0-mlogloss:0.738507 [27] validation_0-merror:0.3 validation_0-mlogloss:0.735371 [28] validation_0-merror:0.3 validation_0-mlogloss:0.734904 [29] validation_0-merror:0.3 validation_0-mlogloss:0.734251 [30] validation_0-merror:0.3 validation_0-mlogloss:0.731194 [31] validation_0-merror:0.3 validation_0-mlogloss:0.730558 [32] validation_0-merror:0.3 validation_0-mlogloss:0.730426 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [34] validation_0-merror:0.3 validation_0-mlogloss:0.731581 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.731861 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.732258 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.731824 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.730426 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05025 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00749 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969765 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94151 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.916654 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899561 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879189 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864577 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850386 [9] validation_0-merror:0.35 validation_0-mlogloss:0.837451 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826976 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818541 [12] validation_0-merror:0.35 validation_0-mlogloss:0.811785 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805719 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.801717 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.796633 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.791994 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792646 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790313 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.785278 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788486 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.784276 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.783411 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.781499 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.781189 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.780429 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.779952 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.780015 [29] validation_0-merror:0.35 validation_0-mlogloss:0.779258 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.782378 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.785887 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.785223 [33] validation_0-merror:0.3 validation_0-mlogloss:0.786034 [34] validation_0-merror:0.3 validation_0-mlogloss:0.786972 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.779258 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00775 [2] validation_0-merror:0.35 validation_0-mlogloss:0.974587 [3] validation_0-merror:0.35 validation_0-mlogloss:0.94469 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919383 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901823 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.878945 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.862073 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849863 [9] validation_0-merror:0.35 validation_0-mlogloss:0.836961 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825259 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819319 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813368 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808299 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805149 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.801231 [16] validation_0-merror:0.3 validation_0-mlogloss:0.803205 [17] validation_0-merror:0.3 validation_0-mlogloss:0.801343 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.798403 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.799362 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.795595 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.797383 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.798419 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.797148 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.798386 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.794533 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.796654 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.796028 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.795306 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.795811 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.794508 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.791448 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.792365 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.795073 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.793223 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.794757 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.791847 Stopping. Best iteration: [31] validation_0-merror:0.266667 validation_0-mlogloss:0.791448 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01128 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977604 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9485 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925836 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906309 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886593 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870288 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858594 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840963 [10] validation_0-merror:0.35 validation_0-mlogloss:0.830353 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820357 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811732 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804721 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798797 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791247 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777353 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772645 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766114 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762087 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.750822 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745576 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740867 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729831 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724073 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.719509 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.721242 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71048 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708952 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.710754 [30] validation_0-merror:0.3 validation_0-mlogloss:0.711073 [31] validation_0-merror:0.3 validation_0-mlogloss:0.713034 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711471 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712826 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.708952 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02313 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989311 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95741 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.934952 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.915377 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.896204 [7] validation_0-merror:0.4 validation_0-mlogloss:0.881327 [8] validation_0-merror:0.4 validation_0-mlogloss:0.861047 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851969 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842832 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829224 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826949 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818603 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810662 [15] validation_0-merror:0.4 validation_0-mlogloss:0.804983 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.794506 [17] validation_0-merror:0.4 validation_0-mlogloss:0.79192 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791355 [19] validation_0-merror:0.4 validation_0-mlogloss:0.78417 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776725 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774746 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775659 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.77311 [24] validation_0-merror:0.4 validation_0-mlogloss:0.769741 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773117 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766004 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.765669 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.760793 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.758974 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.75885 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.758864 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.759584 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7577 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.7635 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.767458 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.769583 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.77223 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.779239 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.7577 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965122 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943406 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923978 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.907268 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.892728 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.877898 [9] validation_0-merror:0.3 validation_0-mlogloss:0.865556 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.857978 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.84724 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83135 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.823913 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816016 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806039 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799064 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.792533 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790052 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.787124 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782839 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776972 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775929 [23] validation_0-merror:0.35 validation_0-mlogloss:0.768783 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766546 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.764649 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757717 [27] validation_0-merror:0.35 validation_0-mlogloss:0.755977 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750769 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.7496 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745885 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744025 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.744452 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744442 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.743176 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742764 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.744931 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.742327 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.744043 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.740132 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.736659 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.733091 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.73751 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.735259 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.733436 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.7321 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.737261 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.737478 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.73631 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.734033 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.738556 Stopping. Best iteration: [45] validation_0-merror:0.333333 validation_0-mlogloss:0.7321 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01104 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.97869 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95141 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.931734 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913056 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890202 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868703 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847794 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831002 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.819583 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.805298 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.792989 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.785536 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.781543 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.771808 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.763337 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.760562 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752804 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.753032 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.743548 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.737426 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.729553 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.722859 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.715587 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.714793 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.711392 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705765 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704313 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.707284 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.705909 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705456 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.706107 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706496 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.704313 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04993 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01428 [2] validation_0-merror:0.35 validation_0-mlogloss:0.978936 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944791 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.919778 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900124 [6] validation_0-merror:0.4 validation_0-mlogloss:0.883918 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.874249 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862959 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851979 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.835123 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826493 [12] validation_0-merror:0.4 validation_0-mlogloss:0.819726 [13] validation_0-merror:0.4 validation_0-mlogloss:0.811615 [14] validation_0-merror:0.4 validation_0-mlogloss:0.796665 [15] validation_0-merror:0.4 validation_0-mlogloss:0.79039 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.783757 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779326 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.775509 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.768128 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769924 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.766003 [22] validation_0-merror:0.4 validation_0-mlogloss:0.773381 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770901 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.770294 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.772134 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770662 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.766003 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985125 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.95443 [4] validation_0-merror:0.3 validation_0-mlogloss:0.937296 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921842 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900886 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.883145 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.872664 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.866097 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862658 [11] validation_0-merror:0.3 validation_0-mlogloss:0.854146 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.845971 [13] validation_0-merror:0.3 validation_0-mlogloss:0.842077 [14] validation_0-merror:0.3 validation_0-mlogloss:0.827431 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.817975 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.8071 [17] validation_0-merror:0.3 validation_0-mlogloss:0.796816 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.793684 [19] validation_0-merror:0.3 validation_0-mlogloss:0.784394 [20] validation_0-merror:0.3 validation_0-mlogloss:0.780427 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.77817 [22] validation_0-merror:0.3 validation_0-mlogloss:0.77044 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.770995 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.7704 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.769131 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763959 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763133 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.768387 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.768811 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770917 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.77614 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.772705 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763133 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05019 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01283 [2] validation_0-merror:0.4 validation_0-mlogloss:0.982821 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955654 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931323 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912851 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897556 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882415 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.870066 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.8564 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845594 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.83766 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831718 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.825026 [14] validation_0-merror:0.35 validation_0-mlogloss:0.819344 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81193 [16] validation_0-merror:0.35 validation_0-mlogloss:0.8061 [17] validation_0-merror:0.35 validation_0-mlogloss:0.800202 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.795159 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.793326 [20] validation_0-merror:0.3 validation_0-mlogloss:0.786107 [21] validation_0-merror:0.3 validation_0-mlogloss:0.781984 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.777477 [23] validation_0-merror:0.3 validation_0-mlogloss:0.771843 [24] validation_0-merror:0.3 validation_0-mlogloss:0.766909 [25] validation_0-merror:0.3 validation_0-mlogloss:0.762274 [26] validation_0-merror:0.3 validation_0-mlogloss:0.760421 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.758207 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.754808 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.755247 [30] validation_0-merror:0.3 validation_0-mlogloss:0.754363 [31] validation_0-merror:0.3 validation_0-mlogloss:0.753681 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.751918 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.753217 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.752816 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.753237 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.754137 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.752789 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.751918 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9232 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90529 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886091 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869641 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852898 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.838944 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.827336 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824234 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.813967 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812165 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80514 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.803921 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798973 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.799301 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.801058 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.800523 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.802152 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.797538 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.798995 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.79367 [24] validation_0-merror:0.35 validation_0-mlogloss:0.790115 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.788624 [26] validation_0-merror:0.35 validation_0-mlogloss:0.786101 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.78975 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.789261 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.788717 [30] validation_0-merror:0.35 validation_0-mlogloss:0.785943 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.787937 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.790628 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.792739 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.793769 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.794034 Stopping. Best iteration: [30] validation_0-merror:0.35 validation_0-mlogloss:0.785943 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952651 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933096 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.91056 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895546 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878111 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863888 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.856735 [10] validation_0-merror:0.3 validation_0-mlogloss:0.845184 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834441 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825964 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824065 [14] validation_0-merror:0.3 validation_0-mlogloss:0.82389 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824193 [16] validation_0-merror:0.3 validation_0-mlogloss:0.825221 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.820574 [18] validation_0-merror:0.3 validation_0-mlogloss:0.819736 [19] validation_0-merror:0.3 validation_0-mlogloss:0.816009 [20] validation_0-merror:0.3 validation_0-mlogloss:0.812135 [21] validation_0-merror:0.3 validation_0-mlogloss:0.807744 [22] validation_0-merror:0.3 validation_0-mlogloss:0.807071 [23] validation_0-merror:0.3 validation_0-mlogloss:0.805369 [24] validation_0-merror:0.3 validation_0-mlogloss:0.801809 [25] validation_0-merror:0.3 validation_0-mlogloss:0.798157 [26] validation_0-merror:0.3 validation_0-mlogloss:0.798156 [27] validation_0-merror:0.3 validation_0-mlogloss:0.797871 [28] validation_0-merror:0.3 validation_0-mlogloss:0.796348 [29] validation_0-merror:0.3 validation_0-mlogloss:0.791081 [30] validation_0-merror:0.3 validation_0-mlogloss:0.790793 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.782322 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.77601 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.77403 [34] validation_0-merror:0.3 validation_0-mlogloss:0.769728 [35] validation_0-merror:0.3 validation_0-mlogloss:0.768709 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.767307 [37] validation_0-merror:0.3 validation_0-mlogloss:0.769567 [38] validation_0-merror:0.3 validation_0-mlogloss:0.768488 [39] validation_0-merror:0.3 validation_0-mlogloss:0.770633 [40] validation_0-merror:0.3 validation_0-mlogloss:0.774633 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.77811 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.767307 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904891 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88571 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869126 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855019 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837473 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824228 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816265 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.807594 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796192 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792191 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784901 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774514 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768653 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76258 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756139 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749386 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744945 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.741606 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.73432 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.72645 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.720543 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.719634 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.713322 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.7102 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.710029 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710371 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70996 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711305 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708712 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708247 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709373 [36] validation_0-merror:0.3 validation_0-mlogloss:0.71219 [37] validation_0-merror:0.3 validation_0-mlogloss:0.717092 [38] validation_0-merror:0.3 validation_0-mlogloss:0.712283 [39] validation_0-merror:0.3 validation_0-mlogloss:0.71083 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.708247 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99409 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.93792 [5] validation_0-merror:0.4 validation_0-mlogloss:0.91849 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897934 [7] validation_0-merror:0.4 validation_0-mlogloss:0.883014 [8] validation_0-merror:0.4 validation_0-mlogloss:0.863994 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.854946 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.844687 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830844 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.828282 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814619 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80635 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800585 [16] validation_0-merror:0.4 validation_0-mlogloss:0.787926 [17] validation_0-merror:0.4 validation_0-mlogloss:0.782571 [18] validation_0-merror:0.4 validation_0-mlogloss:0.778735 [19] validation_0-merror:0.4 validation_0-mlogloss:0.772812 [20] validation_0-merror:0.4 validation_0-mlogloss:0.766371 [21] validation_0-merror:0.4 validation_0-mlogloss:0.761234 [22] validation_0-merror:0.4 validation_0-mlogloss:0.759661 [23] validation_0-merror:0.4 validation_0-mlogloss:0.755927 [24] validation_0-merror:0.4 validation_0-mlogloss:0.753895 [25] validation_0-merror:0.4 validation_0-mlogloss:0.759225 [26] validation_0-merror:0.4 validation_0-mlogloss:0.751693 [27] validation_0-merror:0.4 validation_0-mlogloss:0.748602 [28] validation_0-merror:0.4 validation_0-mlogloss:0.747515 [29] validation_0-merror:0.4 validation_0-mlogloss:0.743869 [30] validation_0-merror:0.4 validation_0-mlogloss:0.744291 [31] validation_0-merror:0.4 validation_0-mlogloss:0.745857 [32] validation_0-merror:0.4 validation_0-mlogloss:0.742405 [33] validation_0-merror:0.4 validation_0-mlogloss:0.73807 [34] validation_0-merror:0.4 validation_0-mlogloss:0.73878 [35] validation_0-merror:0.4 validation_0-mlogloss:0.74092 [36] validation_0-merror:0.4 validation_0-mlogloss:0.742372 [37] validation_0-merror:0.4 validation_0-mlogloss:0.745038 [38] validation_0-merror:0.4 validation_0-mlogloss:0.752754 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.73807 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945141 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925114 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907486 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.892631 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876408 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.859971 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853219 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.841621 [12] validation_0-merror:0.35 validation_0-mlogloss:0.82582 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819285 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807288 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798964 [16] validation_0-merror:0.35 validation_0-mlogloss:0.791887 [17] validation_0-merror:0.35 validation_0-mlogloss:0.783676 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782707 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774465 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77407 [21] validation_0-merror:0.35 validation_0-mlogloss:0.767944 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762709 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755475 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75074 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.747275 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744685 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743141 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.739936 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.737094 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734629 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.732836 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732259 [33] validation_0-merror:0.35 validation_0-mlogloss:0.735825 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.736071 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73661 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738598 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.736023 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.732259 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978489 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949938 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926992 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905633 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880039 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861797 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.843376 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.827234 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815034 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801581 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786103 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.778048 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.771279 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.760107 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75467 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754747 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751322 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748793 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743247 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734179 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727439 [24] validation_0-merror:0.3 validation_0-mlogloss:0.724143 [25] validation_0-merror:0.3 validation_0-mlogloss:0.724467 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7219 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.717642 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714336 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716155 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714943 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714967 [32] validation_0-merror:0.3 validation_0-mlogloss:0.714021 [33] validation_0-merror:0.3 validation_0-mlogloss:0.715803 [34] validation_0-merror:0.3 validation_0-mlogloss:0.715957 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71363 [36] validation_0-merror:0.3 validation_0-mlogloss:0.715379 [37] validation_0-merror:0.3 validation_0-mlogloss:0.716369 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713781 [39] validation_0-merror:0.3 validation_0-mlogloss:0.713638 [40] validation_0-merror:0.3 validation_0-mlogloss:0.713753 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.71363 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984362 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953769 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930781 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914705 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.893409 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.88235 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.870536 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854238 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840996 [11] validation_0-merror:0.4 validation_0-mlogloss:0.833665 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82522 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816156 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809837 [15] validation_0-merror:0.4 validation_0-mlogloss:0.806159 [16] validation_0-merror:0.4 validation_0-mlogloss:0.798944 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792464 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786071 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782893 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784028 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778066 [22] validation_0-merror:0.4 validation_0-mlogloss:0.779802 [23] validation_0-merror:0.4 validation_0-mlogloss:0.77585 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777838 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.776954 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769919 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.767764 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.768271 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.771699 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.770967 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.769723 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.770042 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.767764 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923236 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903063 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885446 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874622 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852154 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842836 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835124 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827932 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819746 [15] validation_0-merror:0.3 validation_0-mlogloss:0.815203 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.812816 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.810124 [18] validation_0-merror:0.3 validation_0-mlogloss:0.805257 [19] validation_0-merror:0.3 validation_0-mlogloss:0.791668 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788445 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.790236 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.785656 [23] validation_0-merror:0.3 validation_0-mlogloss:0.781968 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781221 [25] validation_0-merror:0.3 validation_0-mlogloss:0.782767 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781702 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.779763 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.781592 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.78015 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.780248 [31] validation_0-merror:0.3 validation_0-mlogloss:0.780068 [32] validation_0-merror:0.3 validation_0-mlogloss:0.779883 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.779763 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01041 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977719 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951506 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.928932 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910876 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893059 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.880026 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.86572 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.8543 [10] validation_0-merror:0.35 validation_0-mlogloss:0.845028 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834624 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826672 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.817148 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808578 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.801029 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.794447 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789096 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784964 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.784832 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781807 [21] validation_0-merror:0.35 validation_0-mlogloss:0.777896 [22] validation_0-merror:0.35 validation_0-mlogloss:0.771874 [23] validation_0-merror:0.35 validation_0-mlogloss:0.767646 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765333 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761625 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.75812 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.753051 [28] validation_0-merror:0.35 validation_0-mlogloss:0.750593 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.746943 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.745776 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.74247 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741159 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738883 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.742488 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.741944 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74082 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.741027 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.742917 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738883 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.048 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00805 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97455 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945132 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919278 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.897479 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.877649 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.861986 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848388 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839401 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.826711 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.818806 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.814636 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.806256 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.802874 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.796529 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789158 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.787196 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.781753 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779263 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.777884 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.775217 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770571 [23] validation_0-merror:0.35 validation_0-mlogloss:0.769144 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766687 [25] validation_0-merror:0.35 validation_0-mlogloss:0.766107 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768038 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763472 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765396 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.763751 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.767303 [31] validation_0-merror:0.35 validation_0-mlogloss:0.770108 [32] validation_0-merror:0.35 validation_0-mlogloss:0.770373 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.763472 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908872 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891205 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878814 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865076 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857926 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.845094 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839453 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832131 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823605 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820685 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.815844 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.81561 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.811275 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.809245 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.806354 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.803129 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798497 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.796372 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.793038 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.792091 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.791513 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.788424 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.785641 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.78046 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.777136 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.775547 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.776025 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.772276 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.769128 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.768431 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.766744 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.766278 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.762876 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.762138 [39] validation_0-merror:0.3 validation_0-mlogloss:0.761481 [40] validation_0-merror:0.3 validation_0-mlogloss:0.761863 [41] validation_0-merror:0.3 validation_0-mlogloss:0.761206 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.76209 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760924 [44] validation_0-merror:0.3 validation_0-mlogloss:0.762602 [45] validation_0-merror:0.3 validation_0-mlogloss:0.762082 [46] validation_0-merror:0.3 validation_0-mlogloss:0.763442 [47] validation_0-merror:0.3 validation_0-mlogloss:0.763517 [48] validation_0-merror:0.3 validation_0-mlogloss:0.764204 Stopping. Best iteration: [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760924 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957115 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929859 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905851 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888176 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854842 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838351 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825383 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818343 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809114 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800187 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795418 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782865 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773262 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767061 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757972 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751676 [20] validation_0-merror:0.3 validation_0-mlogloss:0.741776 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735348 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.727575 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.717955 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707466 [25] validation_0-merror:0.3 validation_0-mlogloss:0.70039 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.700221 [27] validation_0-merror:0.3 validation_0-mlogloss:0.695197 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.695328 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.691631 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.686516 [31] validation_0-merror:0.35 validation_0-mlogloss:0.687404 [32] validation_0-merror:0.35 validation_0-mlogloss:0.684374 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.68587 [34] validation_0-merror:0.35 validation_0-mlogloss:0.682112 [35] validation_0-merror:0.35 validation_0-mlogloss:0.679026 [36] validation_0-merror:0.35 validation_0-mlogloss:0.67908 [37] validation_0-merror:0.35 validation_0-mlogloss:0.679552 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.675773 [39] validation_0-merror:0.35 validation_0-mlogloss:0.67262 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.66501 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.65959 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.658362 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.655994 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65095 [45] validation_0-merror:0.3 validation_0-mlogloss:0.646667 [46] validation_0-merror:0.3 validation_0-mlogloss:0.646753 [47] validation_0-merror:0.3 validation_0-mlogloss:0.648397 [48] validation_0-merror:0.3 validation_0-mlogloss:0.64301 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.64445 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.645307 [51] validation_0-merror:0.3 validation_0-mlogloss:0.641073 [52] validation_0-merror:0.3 validation_0-mlogloss:0.637005 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.638897 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.640943 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.642153 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.641613 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.634211 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.636617 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.63685 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.638696 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.638642 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.640709 Stopping. Best iteration: [57] validation_0-merror:0.283333 validation_0-mlogloss:0.634211 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02924 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998867 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968215 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.945518 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926565 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.907121 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892129 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880298 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870283 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.85955 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.846409 [12] validation_0-merror:0.4 validation_0-mlogloss:0.84049 [13] validation_0-merror:0.4 validation_0-mlogloss:0.830858 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816996 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.810104 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80411 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796136 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.788656 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779019 [20] validation_0-merror:0.4 validation_0-mlogloss:0.773966 [21] validation_0-merror:0.4 validation_0-mlogloss:0.765533 [22] validation_0-merror:0.4 validation_0-mlogloss:0.764531 [23] validation_0-merror:0.4 validation_0-mlogloss:0.760549 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757581 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763561 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756244 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75268 [28] validation_0-merror:0.35 validation_0-mlogloss:0.747726 [29] validation_0-merror:0.35 validation_0-mlogloss:0.740309 [30] validation_0-merror:0.35 validation_0-mlogloss:0.739871 [31] validation_0-merror:0.35 validation_0-mlogloss:0.735326 [32] validation_0-merror:0.35 validation_0-mlogloss:0.729966 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729738 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.723239 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725294 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725574 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.72536 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.73374 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.7345 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.723239 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02765 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996339 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864545 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847237 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834608 [11] validation_0-merror:0.35 validation_0-mlogloss:0.823249 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807978 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801521 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785574 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769306 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760649 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.748162 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749612 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.739024 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737706 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.732443 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729632 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724643 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723027 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723843 [26] validation_0-merror:0.3 validation_0-mlogloss:0.714988 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709535 [28] validation_0-merror:0.3 validation_0-mlogloss:0.701926 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69333 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689063 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68821 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684497 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68101 [34] validation_0-merror:0.3 validation_0-mlogloss:0.679154 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678711 [36] validation_0-merror:0.3 validation_0-mlogloss:0.677499 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.674864 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.673366 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.668203 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.664716 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.658669 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.660252 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.656126 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.655045 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.64991 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.649695 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.649099 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.647663 [49] validation_0-merror:0.25 validation_0-mlogloss:0.649783 [50] validation_0-merror:0.25 validation_0-mlogloss:0.650388 [51] validation_0-merror:0.25 validation_0-mlogloss:0.651524 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.648462 [53] validation_0-merror:0.25 validation_0-mlogloss:0.645396 [54] validation_0-merror:0.25 validation_0-mlogloss:0.647182 [55] validation_0-merror:0.25 validation_0-mlogloss:0.647193 [56] validation_0-merror:0.25 validation_0-mlogloss:0.64432 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.647342 [58] validation_0-merror:0.25 validation_0-mlogloss:0.650317 [59] validation_0-merror:0.25 validation_0-mlogloss:0.648315 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.649554 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.652066 Stopping. Best iteration: [56] validation_0-merror:0.25 validation_0-mlogloss:0.64432 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992161 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962494 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.94413 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921344 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901077 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.882455 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865987 [9] validation_0-merror:0.3 validation_0-mlogloss:0.846305 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834847 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.817689 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.803479 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79379 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787068 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776738 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769044 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764145 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757609 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753307 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.744692 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737676 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726728 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719281 [24] validation_0-merror:0.3 validation_0-mlogloss:0.712897 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709265 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.705663 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.70137 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696324 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695315 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.689891 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.686437 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.685729 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.685443 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683369 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.6794 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.678685 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.679224 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.67468 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.672162 [40] validation_0-merror:0.3 validation_0-mlogloss:0.670112 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666264 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664678 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.663054 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.662741 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.660034 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662127 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.662893 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662828 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.665004 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.665264 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.660034 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02448 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994924 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960939 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941183 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.925108 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907552 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.896485 [8] validation_0-merror:0.4 validation_0-mlogloss:0.88438 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873334 [10] validation_0-merror:0.4 validation_0-mlogloss:0.860382 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.851408 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.840368 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829245 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816812 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806648 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798691 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794282 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786036 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.779593 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.773602 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766213 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.769041 [23] validation_0-merror:0.35 validation_0-mlogloss:0.766381 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.764192 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762868 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756619 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752468 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753885 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751779 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751403 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751455 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748531 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746865 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.74363 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738683 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.736409 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733716 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738613 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.733889 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.734512 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.735483 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.736313 Stopping. Best iteration: [37] validation_0-merror:0.333333 validation_0-mlogloss:0.733716 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00355 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976736 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936879 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91662 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901942 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886389 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875851 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.869907 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86255 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846275 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830407 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810539 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803122 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793431 [18] validation_0-merror:0.3 validation_0-mlogloss:0.786136 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771673 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765651 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.763106 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.760381 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751484 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.747073 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.743121 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737025 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.73208 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.730325 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.726778 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.72338 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.720847 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.718126 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715541 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.713335 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.712178 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705582 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.70251 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698993 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699073 [40] validation_0-merror:0.3 validation_0-mlogloss:0.697045 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.694574 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.695044 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.691905 [44] validation_0-merror:0.3 validation_0-mlogloss:0.690857 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.68892 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.688739 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689077 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.690522 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.689752 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.685787 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.685321 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.684511 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.684231 [54] validation_0-merror:0.3 validation_0-mlogloss:0.682748 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.679018 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677096 [57] validation_0-merror:0.3 validation_0-mlogloss:0.679529 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.680395 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.678314 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.677617 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.680222 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677096 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98389 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933361 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894458 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875597 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829378 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820117 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809333 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790178 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774166 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753279 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745298 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741313 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73474 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726765 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722875 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72224 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716456 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712324 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707787 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703209 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701821 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698117 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694443 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694261 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691714 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.68746 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683554 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683267 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683492 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.681587 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682911 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681791 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680015 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.681544 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682838 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.683201 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.684862 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.685684 Stopping. Best iteration: [44] validation_0-merror:0.3 validation_0-mlogloss:0.680015 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01987 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990724 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963656 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941415 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923077 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907852 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892961 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878687 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854829 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83503 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825436 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819627 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809799 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801889 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792921 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787396 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.780342 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.7772 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773177 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.771381 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766469 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.762256 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758794 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.752401 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.747633 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.741913 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.7394 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.736421 [31] validation_0-merror:0.35 validation_0-mlogloss:0.734015 [32] validation_0-merror:0.35 validation_0-mlogloss:0.73138 [33] validation_0-merror:0.35 validation_0-mlogloss:0.728442 [34] validation_0-merror:0.35 validation_0-mlogloss:0.725214 [35] validation_0-merror:0.35 validation_0-mlogloss:0.721596 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720556 [37] validation_0-merror:0.35 validation_0-mlogloss:0.718573 [38] validation_0-merror:0.35 validation_0-mlogloss:0.713707 [39] validation_0-merror:0.35 validation_0-mlogloss:0.711679 [40] validation_0-merror:0.35 validation_0-mlogloss:0.712083 [41] validation_0-merror:0.35 validation_0-mlogloss:0.70921 [42] validation_0-merror:0.35 validation_0-mlogloss:0.707983 [43] validation_0-merror:0.35 validation_0-mlogloss:0.711177 [44] validation_0-merror:0.35 validation_0-mlogloss:0.70956 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.708149 [46] validation_0-merror:0.35 validation_0-mlogloss:0.70722 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.707363 [48] validation_0-merror:0.35 validation_0-mlogloss:0.705574 [49] validation_0-merror:0.35 validation_0-mlogloss:0.707128 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.707271 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.705555 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.705132 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.707761 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.707151 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.705397 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.704575 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.703734 [58] validation_0-merror:0.333333 validation_0-mlogloss:0.704922 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.704426 [60] validation_0-merror:0.333333 validation_0-mlogloss:0.704772 [61] validation_0-merror:0.333333 validation_0-mlogloss:0.704258 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.703135 [63] validation_0-merror:0.333333 validation_0-mlogloss:0.703193 [64] validation_0-merror:0.333333 validation_0-mlogloss:0.706247 [65] validation_0-merror:0.333333 validation_0-mlogloss:0.705416 [66] validation_0-merror:0.333333 validation_0-mlogloss:0.70846 [67] validation_0-merror:0.333333 validation_0-mlogloss:0.708479 Stopping. Best iteration: [62] validation_0-merror:0.333333 validation_0-mlogloss:0.703135 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05916 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02611 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994486 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950669 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918517 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901938 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.878065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865067 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8564 [12] validation_0-merror:0.35 validation_0-mlogloss:0.846713 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839065 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.833109 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819132 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813344 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806331 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.791308 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783043 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780569 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772621 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.771419 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76791 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.764645 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.76021 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.75688 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.753723 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.747998 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744638 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.740683 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.735037 [33] validation_0-merror:0.3 validation_0-mlogloss:0.732 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725831 [35] validation_0-merror:0.3 validation_0-mlogloss:0.72318 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.718833 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.715379 [38] validation_0-merror:0.3 validation_0-mlogloss:0.714168 [39] validation_0-merror:0.3 validation_0-mlogloss:0.713422 [40] validation_0-merror:0.3 validation_0-mlogloss:0.708933 [41] validation_0-merror:0.3 validation_0-mlogloss:0.706506 [42] validation_0-merror:0.3 validation_0-mlogloss:0.704401 [43] validation_0-merror:0.3 validation_0-mlogloss:0.699395 [44] validation_0-merror:0.3 validation_0-mlogloss:0.697816 [45] validation_0-merror:0.3 validation_0-mlogloss:0.697934 [46] validation_0-merror:0.3 validation_0-mlogloss:0.69643 [47] validation_0-merror:0.3 validation_0-mlogloss:0.694987 [48] validation_0-merror:0.3 validation_0-mlogloss:0.694113 [49] validation_0-merror:0.3 validation_0-mlogloss:0.692963 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690429 [51] validation_0-merror:0.3 validation_0-mlogloss:0.687502 [52] validation_0-merror:0.3 validation_0-mlogloss:0.685235 [53] validation_0-merror:0.3 validation_0-mlogloss:0.684424 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.683808 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.683154 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.683043 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.68103 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.681158 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.679403 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.676755 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.675768 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.675579 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.674612 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.672182 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.67319 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.673086 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.672828 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.672477 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.669665 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.667637 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.66951 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.669196 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.667481 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.663667 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.663738 [76] validation_0-merror:0.283333 validation_0-mlogloss:0.663297 [77] validation_0-merror:0.283333 validation_0-mlogloss:0.664775 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.665114 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.661539 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.661686 [81] validation_0-merror:0.266667 validation_0-mlogloss:0.663476 [82] validation_0-merror:0.266667 validation_0-mlogloss:0.662947 [83] validation_0-merror:0.266667 validation_0-mlogloss:0.661937 [84] validation_0-merror:0.283333 validation_0-mlogloss:0.66145 [85] validation_0-merror:0.283333 validation_0-mlogloss:0.659872 [86] validation_0-merror:0.283333 validation_0-mlogloss:0.660654 [87] validation_0-merror:0.283333 validation_0-mlogloss:0.660972 [88] validation_0-merror:0.283333 validation_0-mlogloss:0.660416 [89] validation_0-merror:0.283333 validation_0-mlogloss:0.662241 [90] validation_0-merror:0.283333 validation_0-mlogloss:0.661684 Stopping. Best iteration: [85] validation_0-merror:0.283333 validation_0-mlogloss:0.659872 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05469 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01474 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983393 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.959914 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936107 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913957 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.893557 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.877937 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.860006 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838192 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826561 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.821562 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811749 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803915 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798889 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78568 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774391 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767423 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758269 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.751965 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.74312 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.73635 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731272 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.72281 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713302 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.705494 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.704979 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696962 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.694833 [29] validation_0-merror:0.3 validation_0-mlogloss:0.690608 [30] validation_0-merror:0.3 validation_0-mlogloss:0.684501 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.688044 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.686137 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.686707 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.683031 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679914 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.679939 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.680974 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.679193 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.679219 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.675188 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670209 [42] validation_0-merror:0.3 validation_0-mlogloss:0.669799 [43] validation_0-merror:0.3 validation_0-mlogloss:0.670467 [44] validation_0-merror:0.3 validation_0-mlogloss:0.669453 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665877 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664826 [47] validation_0-merror:0.3 validation_0-mlogloss:0.664994 [48] validation_0-merror:0.3 validation_0-mlogloss:0.664339 [49] validation_0-merror:0.3 validation_0-mlogloss:0.663939 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.665939 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.663539 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.660617 [53] validation_0-merror:0.3 validation_0-mlogloss:0.663241 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.667804 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.670612 [56] validation_0-merror:0.3 validation_0-mlogloss:0.671662 [57] validation_0-merror:0.3 validation_0-mlogloss:0.665018 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.660617 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.483333 validation_0-mlogloss:1.02837 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.997974 [3] validation_0-merror:0.45 validation_0-mlogloss:0.967403 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.942679 [5] validation_0-merror:0.4 validation_0-mlogloss:0.92377 [6] validation_0-merror:0.4 validation_0-mlogloss:0.90496 [7] validation_0-merror:0.4 validation_0-mlogloss:0.889763 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87772 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.86565 [10] validation_0-merror:0.433333 validation_0-mlogloss:0.853638 [11] validation_0-merror:0.433333 validation_0-mlogloss:0.841419 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.835688 [13] validation_0-merror:0.433333 validation_0-mlogloss:0.827433 [14] validation_0-merror:0.416667 validation_0-mlogloss:0.815035 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.809366 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.803038 [17] validation_0-merror:0.4 validation_0-mlogloss:0.79348 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785389 [19] validation_0-merror:0.4 validation_0-mlogloss:0.775667 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.771003 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762394 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759389 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.754376 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.750825 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.754894 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747545 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.745952 [28] validation_0-merror:0.35 validation_0-mlogloss:0.739907 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.732093 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.731286 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.728427 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.724755 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.723247 [34] validation_0-merror:0.35 validation_0-mlogloss:0.716876 [35] validation_0-merror:0.35 validation_0-mlogloss:0.720779 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720948 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.72021 [38] validation_0-merror:0.35 validation_0-mlogloss:0.7284 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.729648 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.716876 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02834 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.997193 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968909 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941446 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9212 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896138 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883301 [8] validation_0-merror:0.3 validation_0-mlogloss:0.866173 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852757 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840416 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827819 [12] validation_0-merror:0.3 validation_0-mlogloss:0.812629 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807525 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.791931 [15] validation_0-merror:0.3 validation_0-mlogloss:0.778609 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.768522 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.756069 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751693 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742197 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741036 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.735889 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733906 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727786 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.725654 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.727634 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718985 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713308 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705851 [29] validation_0-merror:0.3 validation_0-mlogloss:0.698688 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.693165 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.690615 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.687613 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.685276 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683102 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683306 [36] validation_0-merror:0.3 validation_0-mlogloss:0.682167 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681013 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683212 [39] validation_0-merror:0.3 validation_0-mlogloss:0.67898 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.677759 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.673009 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.673689 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.669322 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.669754 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.663444 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.662908 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.661988 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.65957 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.660988 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.665206 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.667586 [52] validation_0-merror:0.3 validation_0-mlogloss:0.666382 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.662746 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.65957 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987607 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957727 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938391 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915381 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89566 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877049 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862081 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844777 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833446 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.815563 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.801071 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791156 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.784767 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.774427 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.767564 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764094 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753786 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.747739 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741051 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731845 [22] validation_0-merror:0.3 validation_0-mlogloss:0.720893 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.714269 [24] validation_0-merror:0.3 validation_0-mlogloss:0.706828 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.703652 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.700722 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.696024 [28] validation_0-merror:0.3 validation_0-mlogloss:0.690525 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689412 [30] validation_0-merror:0.3 validation_0-mlogloss:0.684224 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68336 [32] validation_0-merror:0.3 validation_0-mlogloss:0.679212 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67911 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676873 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671358 [36] validation_0-merror:0.3 validation_0-mlogloss:0.672174 [37] validation_0-merror:0.3 validation_0-mlogloss:0.66976 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.666592 [39] validation_0-merror:0.3 validation_0-mlogloss:0.663962 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.663856 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.660834 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.658755 [43] validation_0-merror:0.3 validation_0-mlogloss:0.658149 [44] validation_0-merror:0.3 validation_0-mlogloss:0.653941 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651579 [46] validation_0-merror:0.3 validation_0-mlogloss:0.653307 [47] validation_0-merror:0.3 validation_0-mlogloss:0.651665 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.653154 [49] validation_0-merror:0.3 validation_0-mlogloss:0.648615 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.64699 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.65075 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.645366 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.645355 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.645943 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.645939 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.646968 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.644517 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.640606 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.636759 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.638572 [61] validation_0-merror:0.25 validation_0-mlogloss:0.640406 [62] validation_0-merror:0.25 validation_0-mlogloss:0.640783 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.636037 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.634022 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.630866 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.631001 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.630399 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.632511 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.631418 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.631532 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.630424 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.631509 Stopping. Best iteration: [67] validation_0-merror:0.266667 validation_0-mlogloss:0.630399 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02395 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959635 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.939869 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.922923 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901291 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890537 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865606 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840965 [12] validation_0-merror:0.4 validation_0-mlogloss:0.829966 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820024 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809458 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800072 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791854 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787358 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779753 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773494 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767299 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.760051 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760041 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.757298 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755035 [25] validation_0-merror:0.35 validation_0-mlogloss:0.754056 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747562 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.74337 [28] validation_0-merror:0.35 validation_0-mlogloss:0.742374 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740686 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.739815 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.738104 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.735704 [33] validation_0-merror:0.35 validation_0-mlogloss:0.732999 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.731944 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.729579 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.726677 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.723791 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.727252 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.723304 [40] validation_0-merror:0.35 validation_0-mlogloss:0.724143 [41] validation_0-merror:0.35 validation_0-mlogloss:0.725818 [42] validation_0-merror:0.35 validation_0-mlogloss:0.724634 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718477 [44] validation_0-merror:0.35 validation_0-mlogloss:0.724003 [45] validation_0-merror:0.35 validation_0-mlogloss:0.7241 [46] validation_0-merror:0.35 validation_0-mlogloss:0.72522 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.726205 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.727143 Stopping. Best iteration: [43] validation_0-merror:0.35 validation_0-mlogloss:0.718477 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884397 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874682 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868935 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86326 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.850515 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834704 [14] validation_0-merror:0.35 validation_0-mlogloss:0.818084 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806517 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.801148 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.791659 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.784569 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771715 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.766451 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.763101 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75158 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744949 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742433 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.736225 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731261 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729749 [29] validation_0-merror:0.3 validation_0-mlogloss:0.726338 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719517 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71678 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711283 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.709054 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706058 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.708516 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702214 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.698732 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.697094 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69723 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.694109 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.691432 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692913 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.692305 [44] validation_0-merror:0.3 validation_0-mlogloss:0.692369 [45] validation_0-merror:0.3 validation_0-mlogloss:0.689638 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.69009 [47] validation_0-merror:0.3 validation_0-mlogloss:0.689688 [48] validation_0-merror:0.3 validation_0-mlogloss:0.687744 [49] validation_0-merror:0.3 validation_0-mlogloss:0.686571 [50] validation_0-merror:0.3 validation_0-mlogloss:0.683523 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.682372 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.68166 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.680792 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.680345 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.677506 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.675868 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.679935 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.680968 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.679013 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.67911 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.681255 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.675868 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05463 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01756 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986296 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958132 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934568 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897506 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876489 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865152 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848719 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799488 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781379 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762154 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754098 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748429 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740165 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736057 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.735847 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732936 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728779 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.723923 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722462 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719185 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716109 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711252 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710719 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.705955 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701866 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697962 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693837 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693793 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694409 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691793 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.692556 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.692885 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.694284 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.693123 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692034 Stopping. Best iteration: [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691793 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989064 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940064 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919515 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903489 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88863 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873529 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863457 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848874 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839976 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.828067 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821968 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810682 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80288 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797696 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792869 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785622 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77898 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776549 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771142 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76483 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764943 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760447 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756985 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.751344 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750132 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.744629 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.742231 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.737797 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.731992 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.727863 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.725023 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.722149 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.720304 [36] validation_0-merror:0.35 validation_0-mlogloss:0.717653 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.715135 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.713195 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.712992 [40] validation_0-merror:0.35 validation_0-mlogloss:0.71051 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709105 [42] validation_0-merror:0.35 validation_0-mlogloss:0.709139 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.70744 [44] validation_0-merror:0.35 validation_0-mlogloss:0.707242 [45] validation_0-merror:0.35 validation_0-mlogloss:0.706729 [46] validation_0-merror:0.35 validation_0-mlogloss:0.705764 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.705223 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704272 [49] validation_0-merror:0.35 validation_0-mlogloss:0.704964 [50] validation_0-merror:0.35 validation_0-mlogloss:0.706182 [51] validation_0-merror:0.35 validation_0-mlogloss:0.705065 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.707399 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.707409 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704272 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05873 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02659 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994819 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950898 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917964 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.877987 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.870411 [11] validation_0-merror:0.35 validation_0-mlogloss:0.857516 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844253 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.836424 [14] validation_0-merror:0.35 validation_0-mlogloss:0.830658 [15] validation_0-merror:0.35 validation_0-mlogloss:0.823036 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811803 [17] validation_0-merror:0.35 validation_0-mlogloss:0.806304 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.798579 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.793226 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.785752 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.781131 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776397 [23] validation_0-merror:0.3 validation_0-mlogloss:0.773624 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76895 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766098 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.762808 [27] validation_0-merror:0.3 validation_0-mlogloss:0.759108 [28] validation_0-merror:0.3 validation_0-mlogloss:0.754129 [29] validation_0-merror:0.3 validation_0-mlogloss:0.751482 [30] validation_0-merror:0.3 validation_0-mlogloss:0.747848 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.745534 [32] validation_0-merror:0.3 validation_0-mlogloss:0.740972 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.739629 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.737075 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734075 [36] validation_0-merror:0.3 validation_0-mlogloss:0.72653 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722909 [38] validation_0-merror:0.3 validation_0-mlogloss:0.721157 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716794 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714101 [41] validation_0-merror:0.3 validation_0-mlogloss:0.711859 [42] validation_0-merror:0.3 validation_0-mlogloss:0.711586 [43] validation_0-merror:0.3 validation_0-mlogloss:0.708509 [44] validation_0-merror:0.3 validation_0-mlogloss:0.707837 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.705725 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.704082 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.701479 [48] validation_0-merror:0.3 validation_0-mlogloss:0.700158 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698771 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.700101 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.700381 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.698229 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.69733 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.698853 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.699286 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.698076 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.698945 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.696587 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.694931 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.69417 [61] validation_0-merror:0.3 validation_0-mlogloss:0.69301 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.689381 [63] validation_0-merror:0.3 validation_0-mlogloss:0.687874 [64] validation_0-merror:0.3 validation_0-mlogloss:0.692816 [65] validation_0-merror:0.3 validation_0-mlogloss:0.694814 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.694543 [67] validation_0-merror:0.3 validation_0-mlogloss:0.695916 [68] validation_0-merror:0.3 validation_0-mlogloss:0.694334 Stopping. Best iteration: [63] validation_0-merror:0.3 validation_0-mlogloss:0.687874 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05454 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01463 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.9822 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955615 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932265 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.913597 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.896397 [7] validation_0-merror:0.4 validation_0-mlogloss:0.881068 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.8641 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845669 [10] validation_0-merror:0.35 validation_0-mlogloss:0.83304 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824186 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81448 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804096 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800566 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787762 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775027 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765418 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.755715 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750214 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.74135 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734275 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729103 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717769 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.709359 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.702209 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70291 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698828 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695123 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692286 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687759 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.688188 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.684357 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.686321 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685897 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682704 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684282 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.685372 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683617 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.67934 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671492 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.666037 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.661187 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.66345 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.661521 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.659438 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.658238 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.657172 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.656226 [49] validation_0-merror:0.3 validation_0-mlogloss:0.654803 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.657273 [51] validation_0-merror:0.3 validation_0-mlogloss:0.657033 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656212 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.659654 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.66375 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.654803 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06395 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02917 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999033 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.970131 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.94552 [5] validation_0-merror:0.4 validation_0-mlogloss:0.925685 [6] validation_0-merror:0.4 validation_0-mlogloss:0.905737 [7] validation_0-merror:0.35 validation_0-mlogloss:0.890792 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871646 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857718 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.845871 [11] validation_0-merror:0.4 validation_0-mlogloss:0.833538 [12] validation_0-merror:0.4 validation_0-mlogloss:0.828422 [13] validation_0-merror:0.4 validation_0-mlogloss:0.81873 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.806175 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802334 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79539 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.786497 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.781378 [19] validation_0-merror:0.4 validation_0-mlogloss:0.773932 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.76808 [21] validation_0-merror:0.4 validation_0-mlogloss:0.759791 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.758338 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.753083 [24] validation_0-merror:0.4 validation_0-mlogloss:0.749673 [25] validation_0-merror:0.4 validation_0-mlogloss:0.749135 [26] validation_0-merror:0.4 validation_0-mlogloss:0.742151 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.739067 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.734506 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.730969 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.735009 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.735806 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.730953 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.731179 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.725746 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.729963 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.731396 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.728423 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.73608 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.736577 Stopping. Best iteration: [34] validation_0-merror:0.383333 validation_0-mlogloss:0.725746 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06211 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03224 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00125 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973782 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.94978 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929269 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.907372 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.894858 [8] validation_0-merror:0.35 validation_0-mlogloss:0.878447 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.865768 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.855221 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.842249 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82703 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.820394 [14] validation_0-merror:0.3 validation_0-mlogloss:0.805351 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791987 [16] validation_0-merror:0.3 validation_0-mlogloss:0.784666 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772051 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769471 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763355 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759767 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760143 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758111 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.753436 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750582 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.753655 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746449 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739401 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73312 [29] validation_0-merror:0.3 validation_0-mlogloss:0.727464 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722402 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71833 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717759 [33] validation_0-merror:0.3 validation_0-mlogloss:0.717295 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.719712 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.719864 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.719197 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.717605 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.719082 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.717295 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02247 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990685 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.964255 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94683 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926591 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907472 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890389 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87301 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855407 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843064 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827681 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813753 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80337 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796652 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787573 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77906 [17] validation_0-merror:0.35 validation_0-mlogloss:0.773453 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.75795 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751884 [20] validation_0-merror:0.35 validation_0-mlogloss:0.746557 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726479 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719109 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711044 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711213 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708034 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703858 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.697821 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.69663 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694445 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.693144 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691144 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690741 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.688213 [35] validation_0-merror:0.3 validation_0-mlogloss:0.68286 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683811 [37] validation_0-merror:0.3 validation_0-mlogloss:0.680506 [38] validation_0-merror:0.3 validation_0-mlogloss:0.677314 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674165 [40] validation_0-merror:0.3 validation_0-mlogloss:0.671249 [41] validation_0-merror:0.3 validation_0-mlogloss:0.667723 [42] validation_0-merror:0.3 validation_0-mlogloss:0.665188 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663834 [44] validation_0-merror:0.3 validation_0-mlogloss:0.661742 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.659132 [46] validation_0-merror:0.3 validation_0-mlogloss:0.661347 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.65971 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.660779 [49] validation_0-merror:0.3 validation_0-mlogloss:0.659517 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.657708 [51] validation_0-merror:0.3 validation_0-mlogloss:0.659021 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656399 [53] validation_0-merror:0.3 validation_0-mlogloss:0.654436 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.656198 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.65619 [56] validation_0-merror:0.3 validation_0-mlogloss:0.65732 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.653619 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.648945 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.647836 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.649439 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.650558 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.651281 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.64889 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.646258 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.644583 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.644805 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.644422 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.645539 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.644384 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.645357 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.647538 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.648791 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.647066 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.646894 Stopping. Best iteration: [69] validation_0-merror:0.283333 validation_0-mlogloss:0.644384 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05632 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02314 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991425 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958696 [4] validation_0-merror:0.4 validation_0-mlogloss:0.938861 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.921521 [6] validation_0-merror:0.4 validation_0-mlogloss:0.904508 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894041 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.880923 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.866914 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.855413 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.842435 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.83135 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818303 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.806795 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.797761 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.788218 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78057 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772881 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76728 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.761072 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753212 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752254 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.746937 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.743764 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.74221 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.735912 [27] validation_0-merror:0.35 validation_0-mlogloss:0.731694 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729284 [29] validation_0-merror:0.35 validation_0-mlogloss:0.727547 [30] validation_0-merror:0.35 validation_0-mlogloss:0.72689 [31] validation_0-merror:0.35 validation_0-mlogloss:0.7255 [32] validation_0-merror:0.35 validation_0-mlogloss:0.723779 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721314 [34] validation_0-merror:0.35 validation_0-mlogloss:0.722147 [35] validation_0-merror:0.35 validation_0-mlogloss:0.720743 [36] validation_0-merror:0.35 validation_0-mlogloss:0.717366 [37] validation_0-merror:0.35 validation_0-mlogloss:0.71788 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721551 [39] validation_0-merror:0.35 validation_0-mlogloss:0.720385 [40] validation_0-merror:0.35 validation_0-mlogloss:0.721169 [41] validation_0-merror:0.35 validation_0-mlogloss:0.722652 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.717366 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977306 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954358 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936847 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.91666 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.902012 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.888644 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881385 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.877146 [11] validation_0-merror:0.4 validation_0-mlogloss:0.871611 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.85782 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.844555 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.827372 [15] validation_0-merror:0.35 validation_0-mlogloss:0.816203 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808112 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.802872 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.795601 [19] validation_0-merror:0.3 validation_0-mlogloss:0.784212 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.779513 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.777332 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773408 [23] validation_0-merror:0.3 validation_0-mlogloss:0.765045 [24] validation_0-merror:0.3 validation_0-mlogloss:0.760177 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.756257 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.751494 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747239 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.742384 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.739518 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.734168 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.73058 [32] validation_0-merror:0.3 validation_0-mlogloss:0.729331 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.726375 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.721848 [35] validation_0-merror:0.3 validation_0-mlogloss:0.722109 [36] validation_0-merror:0.3 validation_0-mlogloss:0.716142 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712845 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.710403 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.70889 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706421 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.703566 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.70544 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.703885 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.704819 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.698131 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.698267 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697741 [48] validation_0-merror:0.3 validation_0-mlogloss:0.696523 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.69595 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.69254 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.690421 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.690246 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.688967 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.689291 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.690166 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.688959 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.691577 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.692929 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.691168 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.693104 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.695261 Stopping. Best iteration: [56] validation_0-merror:0.266667 validation_0-mlogloss:0.688959 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01882 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985716 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917387 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897914 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882293 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86719 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853065 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842513 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828249 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813641 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804478 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792855 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78119 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775523 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767473 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759157 [19] validation_0-merror:0.35 validation_0-mlogloss:0.74844 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74314 [21] validation_0-merror:0.35 validation_0-mlogloss:0.739784 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731444 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7259 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723112 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716071 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.712209 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712061 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703852 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702989 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703072 [31] validation_0-merror:0.3 validation_0-mlogloss:0.702312 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692525 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693181 [34] validation_0-merror:0.3 validation_0-mlogloss:0.689418 [35] validation_0-merror:0.3 validation_0-mlogloss:0.689997 [36] validation_0-merror:0.3 validation_0-mlogloss:0.685852 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.684811 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.686856 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.68413 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684069 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.684201 [42] validation_0-merror:0.3 validation_0-mlogloss:0.683371 [43] validation_0-merror:0.3 validation_0-mlogloss:0.68502 [44] validation_0-merror:0.3 validation_0-mlogloss:0.685334 [45] validation_0-merror:0.3 validation_0-mlogloss:0.685241 [46] validation_0-merror:0.3 validation_0-mlogloss:0.683336 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682567 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682201 [49] validation_0-merror:0.3 validation_0-mlogloss:0.681766 [50] validation_0-merror:0.3 validation_0-mlogloss:0.68408 [51] validation_0-merror:0.3 validation_0-mlogloss:0.681265 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.682405 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.68146 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.68104 [55] validation_0-merror:0.3 validation_0-mlogloss:0.679325 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677878 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.679299 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.678063 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.678266 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.678117 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.678156 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.677878 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987693 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962718 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937965 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921826 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904217 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891091 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874965 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848994 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839101 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829631 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819943 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80767 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798418 [16] validation_0-merror:0.4 validation_0-mlogloss:0.794697 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788155 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780741 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773895 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767912 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.763352 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759997 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.756137 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.750873 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.748069 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.745751 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.738888 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.735735 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.732989 [30] validation_0-merror:0.35 validation_0-mlogloss:0.730263 [31] validation_0-merror:0.35 validation_0-mlogloss:0.727212 [32] validation_0-merror:0.35 validation_0-mlogloss:0.725079 [33] validation_0-merror:0.35 validation_0-mlogloss:0.725935 [34] validation_0-merror:0.35 validation_0-mlogloss:0.723082 [35] validation_0-merror:0.35 validation_0-mlogloss:0.720619 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720205 [37] validation_0-merror:0.35 validation_0-mlogloss:0.719751 [38] validation_0-merror:0.35 validation_0-mlogloss:0.717272 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.716478 [40] validation_0-merror:0.35 validation_0-mlogloss:0.714104 [41] validation_0-merror:0.35 validation_0-mlogloss:0.714668 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717603 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.717879 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.716474 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.718274 Stopping. Best iteration: [40] validation_0-merror:0.35 validation_0-mlogloss:0.714104 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995513 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97594 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947806 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928278 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919282 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897538 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889656 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866785 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859452 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849925 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.830366 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811189 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800721 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788132 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783831 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78267 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777406 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770662 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766744 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764182 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.760346 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.758117 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.754878 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.752851 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.748945 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.746661 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744025 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741975 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73912 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733216 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.728812 [38] validation_0-merror:0.3 validation_0-mlogloss:0.726015 [39] validation_0-merror:0.3 validation_0-mlogloss:0.725619 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.722265 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.718954 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.717824 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.713995 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.711476 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.711182 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.707913 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.706963 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.705129 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.703947 [50] validation_0-merror:0.3 validation_0-mlogloss:0.702797 [51] validation_0-merror:0.3 validation_0-mlogloss:0.701433 [52] validation_0-merror:0.3 validation_0-mlogloss:0.700641 [53] validation_0-merror:0.3 validation_0-mlogloss:0.698638 [54] validation_0-merror:0.3 validation_0-mlogloss:0.698619 [55] validation_0-merror:0.3 validation_0-mlogloss:0.697528 [56] validation_0-merror:0.3 validation_0-mlogloss:0.698749 [57] validation_0-merror:0.3 validation_0-mlogloss:0.69615 [58] validation_0-merror:0.3 validation_0-mlogloss:0.695196 [59] validation_0-merror:0.3 validation_0-mlogloss:0.69547 [60] validation_0-merror:0.3 validation_0-mlogloss:0.695032 [61] validation_0-merror:0.3 validation_0-mlogloss:0.696097 [62] validation_0-merror:0.3 validation_0-mlogloss:0.693952 [63] validation_0-merror:0.3 validation_0-mlogloss:0.69909 [64] validation_0-merror:0.3 validation_0-mlogloss:0.698134 [65] validation_0-merror:0.3 validation_0-mlogloss:0.69985 [66] validation_0-merror:0.3 validation_0-mlogloss:0.701447 [67] validation_0-merror:0.3 validation_0-mlogloss:0.702935 Stopping. Best iteration: [62] validation_0-merror:0.3 validation_0-mlogloss:0.693952 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01918 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983916 [3] validation_0-merror:0.4 validation_0-mlogloss:0.957638 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932588 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913455 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.896052 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880433 [8] validation_0-merror:0.4 validation_0-mlogloss:0.865129 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.848566 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.835777 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.823891 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813605 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803022 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798481 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786051 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772503 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765455 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755578 [19] validation_0-merror:0.3 validation_0-mlogloss:0.74833 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738526 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73198 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726875 [23] validation_0-merror:0.3 validation_0-mlogloss:0.716287 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707441 [25] validation_0-merror:0.3 validation_0-mlogloss:0.701247 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70007 [27] validation_0-merror:0.3 validation_0-mlogloss:0.694044 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.691244 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.688493 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685966 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.686116 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683435 [33] validation_0-merror:0.3 validation_0-mlogloss:0.685954 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688286 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.691311 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.693488 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691532 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.683435 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03355 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00205 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.970242 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.949771 [5] validation_0-merror:0.4 validation_0-mlogloss:0.928697 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.910432 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.89524 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.877109 [9] validation_0-merror:0.4 validation_0-mlogloss:0.866093 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.85368 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.840458 [12] validation_0-merror:0.4 validation_0-mlogloss:0.835255 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825575 [14] validation_0-merror:0.4 validation_0-mlogloss:0.813214 [15] validation_0-merror:0.4 validation_0-mlogloss:0.807723 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797383 [17] validation_0-merror:0.4 validation_0-mlogloss:0.791195 [18] validation_0-merror:0.4 validation_0-mlogloss:0.786256 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778471 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.773703 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.765794 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76321 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759987 [24] validation_0-merror:0.4 validation_0-mlogloss:0.7567 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.759555 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.749566 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748694 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.741685 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.733145 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733117 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.734146 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.729767 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.726209 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.726858 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.730641 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.730242 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.727438 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.734662 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.726209 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06181 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03349 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00254 [3] validation_0-merror:0.4 validation_0-mlogloss:0.976493 [4] validation_0-merror:0.4 validation_0-mlogloss:0.952087 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932493 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916133 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.899904 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.882185 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.86679 [10] validation_0-merror:0.35 validation_0-mlogloss:0.855017 [11] validation_0-merror:0.4 validation_0-mlogloss:0.843249 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826012 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.818571 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811271 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.799566 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793598 [17] validation_0-merror:0.35 validation_0-mlogloss:0.783967 [18] validation_0-merror:0.35 validation_0-mlogloss:0.78346 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77845 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775468 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.77529 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.772694 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.768757 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.765706 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763694 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.755956 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748836 [28] validation_0-merror:0.35 validation_0-mlogloss:0.740294 [29] validation_0-merror:0.35 validation_0-mlogloss:0.735009 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734341 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.730017 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.728951 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.72671 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.726328 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724132 [36] validation_0-merror:0.35 validation_0-mlogloss:0.72374 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.720001 [38] validation_0-merror:0.35 validation_0-mlogloss:0.7166 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.711842 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.708975 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.70303 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.706104 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702676 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.701593 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.694091 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.694444 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.695378 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.694706 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.693233 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.697032 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.698998 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.699204 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.696128 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.699388 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.693233 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02384 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991841 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.966058 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948646 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.930454 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911384 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894372 [8] validation_0-merror:0.4 validation_0-mlogloss:0.879628 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863447 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850231 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833465 [12] validation_0-merror:0.35 validation_0-mlogloss:0.818049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809735 [14] validation_0-merror:0.35 validation_0-mlogloss:0.802658 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.791885 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78388 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777233 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.767117 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.760721 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753569 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747017 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.736784 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730872 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722261 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.723243 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.720823 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.718669 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.714117 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.713246 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705599 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.703994 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699961 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696712 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694839 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690405 [36] validation_0-merror:0.3 validation_0-mlogloss:0.689706 [37] validation_0-merror:0.3 validation_0-mlogloss:0.68734 [38] validation_0-merror:0.3 validation_0-mlogloss:0.685622 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684472 [40] validation_0-merror:0.3 validation_0-mlogloss:0.683998 [41] validation_0-merror:0.3 validation_0-mlogloss:0.67968 [42] validation_0-merror:0.3 validation_0-mlogloss:0.676461 [43] validation_0-merror:0.3 validation_0-mlogloss:0.674807 [44] validation_0-merror:0.3 validation_0-mlogloss:0.675268 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673049 [46] validation_0-merror:0.3 validation_0-mlogloss:0.67427 [47] validation_0-merror:0.3 validation_0-mlogloss:0.672091 [48] validation_0-merror:0.3 validation_0-mlogloss:0.674942 [49] validation_0-merror:0.3 validation_0-mlogloss:0.674536 [50] validation_0-merror:0.3 validation_0-mlogloss:0.671619 [51] validation_0-merror:0.3 validation_0-mlogloss:0.674668 [52] validation_0-merror:0.3 validation_0-mlogloss:0.673951 [53] validation_0-merror:0.3 validation_0-mlogloss:0.673559 [54] validation_0-merror:0.3 validation_0-mlogloss:0.670963 [55] validation_0-merror:0.3 validation_0-mlogloss:0.671921 [56] validation_0-merror:0.3 validation_0-mlogloss:0.673475 [57] validation_0-merror:0.3 validation_0-mlogloss:0.670959 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.668335 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.665074 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.665415 [61] validation_0-merror:0.3 validation_0-mlogloss:0.665996 [62] validation_0-merror:0.3 validation_0-mlogloss:0.667771 [63] validation_0-merror:0.3 validation_0-mlogloss:0.66689 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.665048 [65] validation_0-merror:0.3 validation_0-mlogloss:0.662507 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.662095 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.661482 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.661511 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.661381 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.66296 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.663913 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.663337 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.662621 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.664259 Stopping. Best iteration: [69] validation_0-merror:0.266667 validation_0-mlogloss:0.661381 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02386 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991762 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960148 [4] validation_0-merror:0.4 validation_0-mlogloss:0.939114 [5] validation_0-merror:0.4 validation_0-mlogloss:0.920154 [6] validation_0-merror:0.4 validation_0-mlogloss:0.903413 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891289 [8] validation_0-merror:0.4 validation_0-mlogloss:0.880498 [9] validation_0-merror:0.4 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.4 validation_0-mlogloss:0.854143 [11] validation_0-merror:0.4 validation_0-mlogloss:0.843061 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.833521 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819476 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811541 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80193 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.792484 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785867 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.781166 [19] validation_0-merror:0.35 validation_0-mlogloss:0.773682 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766148 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761127 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760373 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755072 [24] validation_0-merror:0.35 validation_0-mlogloss:0.751636 [25] validation_0-merror:0.35 validation_0-mlogloss:0.75079 [26] validation_0-merror:0.35 validation_0-mlogloss:0.742454 [27] validation_0-merror:0.35 validation_0-mlogloss:0.737925 [28] validation_0-merror:0.35 validation_0-mlogloss:0.733081 [29] validation_0-merror:0.35 validation_0-mlogloss:0.731208 [30] validation_0-merror:0.35 validation_0-mlogloss:0.730497 [31] validation_0-merror:0.35 validation_0-mlogloss:0.728499 [32] validation_0-merror:0.35 validation_0-mlogloss:0.725294 [33] validation_0-merror:0.35 validation_0-mlogloss:0.723239 [34] validation_0-merror:0.35 validation_0-mlogloss:0.722256 [35] validation_0-merror:0.35 validation_0-mlogloss:0.72309 [36] validation_0-merror:0.35 validation_0-mlogloss:0.720601 [37] validation_0-merror:0.35 validation_0-mlogloss:0.722276 [38] validation_0-merror:0.35 validation_0-mlogloss:0.724942 [39] validation_0-merror:0.35 validation_0-mlogloss:0.721919 [40] validation_0-merror:0.35 validation_0-mlogloss:0.722131 [41] validation_0-merror:0.35 validation_0-mlogloss:0.7242 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.720601 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.977399 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957182 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940845 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.920532 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.906043 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891886 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88456 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.869279 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.863679 [12] validation_0-merror:0.35 validation_0-mlogloss:0.849694 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839241 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.823233 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.815998 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.809228 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803373 [18] validation_0-merror:0.3 validation_0-mlogloss:0.795972 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.784036 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.779174 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.775863 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.772202 [23] validation_0-merror:0.3 validation_0-mlogloss:0.766039 [24] validation_0-merror:0.3 validation_0-mlogloss:0.762211 [25] validation_0-merror:0.3 validation_0-mlogloss:0.757316 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754767 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.749763 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.747393 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.743935 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.742587 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740473 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.738092 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.73738 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.733968 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.734042 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.729322 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.725916 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.723921 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.725269 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.723761 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.721307 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.723604 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.720258 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.721205 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.719713 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.721466 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.720666 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.717175 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.718169 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.715315 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.717558 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.718727 [53] validation_0-merror:0.3 validation_0-mlogloss:0.717811 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.717618 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.718917 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.715315 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05912 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02403 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995271 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968259 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.948169 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.92899 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911982 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898171 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.886244 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.873287 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859437 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.850398 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834789 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803935 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796539 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78672 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764554 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.758892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749152 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74518 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740643 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73959 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740037 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737505 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.738233 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.734301 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733698 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.734558 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729737 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.731164 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732633 [36] validation_0-merror:0.3 validation_0-mlogloss:0.729662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.728357 [38] validation_0-merror:0.3 validation_0-mlogloss:0.725935 [39] validation_0-merror:0.3 validation_0-mlogloss:0.724687 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725234 [41] validation_0-merror:0.3 validation_0-mlogloss:0.721052 [42] validation_0-merror:0.3 validation_0-mlogloss:0.720701 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.720191 [44] validation_0-merror:0.3 validation_0-mlogloss:0.721929 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.720343 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.717085 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.715527 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.715423 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.716191 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.714185 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.71226 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.713803 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.709299 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.712005 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.711894 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.712454 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.708683 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.709363 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.706401 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.705199 [61] validation_0-merror:0.3 validation_0-mlogloss:0.704543 [62] validation_0-merror:0.3 validation_0-mlogloss:0.703257 [63] validation_0-merror:0.3 validation_0-mlogloss:0.701765 [64] validation_0-merror:0.3 validation_0-mlogloss:0.700853 [65] validation_0-merror:0.3 validation_0-mlogloss:0.702157 [66] validation_0-merror:0.3 validation_0-mlogloss:0.7028 [67] validation_0-merror:0.3 validation_0-mlogloss:0.701997 [68] validation_0-merror:0.3 validation_0-mlogloss:0.700072 [69] validation_0-merror:0.3 validation_0-mlogloss:0.703334 [70] validation_0-merror:0.3 validation_0-mlogloss:0.701283 [71] validation_0-merror:0.3 validation_0-mlogloss:0.70115 [72] validation_0-merror:0.3 validation_0-mlogloss:0.702147 [73] validation_0-merror:0.3 validation_0-mlogloss:0.701666 Stopping. Best iteration: [68] validation_0-merror:0.3 validation_0-mlogloss:0.700072 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02212 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992362 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969757 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945534 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927752 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910943 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895952 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.880061 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866206 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853044 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843404 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835992 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822886 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810569 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802698 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797421 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789842 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.782247 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.776835 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774668 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768519 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764985 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.760232 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755599 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751559 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748608 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.744534 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739378 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.737095 [30] validation_0-merror:0.35 validation_0-mlogloss:0.73637 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.734517 [32] validation_0-merror:0.35 validation_0-mlogloss:0.731392 [33] validation_0-merror:0.35 validation_0-mlogloss:0.729567 [34] validation_0-merror:0.35 validation_0-mlogloss:0.729421 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.72664 [36] validation_0-merror:0.35 validation_0-mlogloss:0.729119 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726323 [38] validation_0-merror:0.35 validation_0-mlogloss:0.726281 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.72572 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.724447 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724606 [42] validation_0-merror:0.35 validation_0-mlogloss:0.727671 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.72672 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.726067 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.723477 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.72753 [47] validation_0-merror:0.35 validation_0-mlogloss:0.727521 [48] validation_0-merror:0.35 validation_0-mlogloss:0.725926 [49] validation_0-merror:0.35 validation_0-mlogloss:0.724417 [50] validation_0-merror:0.366667 validation_0-mlogloss:0.727109 Stopping. Best iteration: [45] validation_0-merror:0.366667 validation_0-mlogloss:0.723477 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948229 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931659 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916934 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900914 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890337 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882763 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.86947 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864794 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.854751 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845178 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.836971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829775 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822792 [17] validation_0-merror:0.35 validation_0-mlogloss:0.820226 [18] validation_0-merror:0.35 validation_0-mlogloss:0.813519 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.807162 [20] validation_0-merror:0.35 validation_0-mlogloss:0.80216 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798167 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793577 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787734 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783128 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778644 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774047 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.76721 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.761898 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.760944 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.755715 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.753215 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.74986 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.743956 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.741877 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.738848 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737554 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.732381 [38] validation_0-merror:0.35 validation_0-mlogloss:0.730156 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.728339 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.724219 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.726544 [42] validation_0-merror:0.3 validation_0-mlogloss:0.723957 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.721601 [44] validation_0-merror:0.3 validation_0-mlogloss:0.722151 [45] validation_0-merror:0.3 validation_0-mlogloss:0.721672 [46] validation_0-merror:0.3 validation_0-mlogloss:0.721505 [47] validation_0-merror:0.3 validation_0-mlogloss:0.718725 [48] validation_0-merror:0.3 validation_0-mlogloss:0.717944 [49] validation_0-merror:0.3 validation_0-mlogloss:0.71708 [50] validation_0-merror:0.3 validation_0-mlogloss:0.716967 [51] validation_0-merror:0.3 validation_0-mlogloss:0.712836 [52] validation_0-merror:0.3 validation_0-mlogloss:0.713112 [53] validation_0-merror:0.3 validation_0-mlogloss:0.714175 [54] validation_0-merror:0.3 validation_0-mlogloss:0.710363 [55] validation_0-merror:0.3 validation_0-mlogloss:0.709422 [56] validation_0-merror:0.3 validation_0-mlogloss:0.709995 [57] validation_0-merror:0.3 validation_0-mlogloss:0.707927 [58] validation_0-merror:0.3 validation_0-mlogloss:0.705806 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.70813 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.709168 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.707696 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.707218 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.710025 Stopping. Best iteration: [58] validation_0-merror:0.3 validation_0-mlogloss:0.705806 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05516 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02058 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986902 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.959577 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933748 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913672 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89626 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.880705 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864198 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847275 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833941 [11] validation_0-merror:0.35 validation_0-mlogloss:0.823179 [12] validation_0-merror:0.35 validation_0-mlogloss:0.812011 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802284 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797691 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78529 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776048 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767462 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756765 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.74963 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.740383 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738181 [22] validation_0-merror:0.3 validation_0-mlogloss:0.733738 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724076 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.714469 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.708572 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.707144 [27] validation_0-merror:0.25 validation_0-mlogloss:0.69969 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.694763 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691977 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.688321 [31] validation_0-merror:0.25 validation_0-mlogloss:0.685953 [32] validation_0-merror:0.25 validation_0-mlogloss:0.685115 [33] validation_0-merror:0.25 validation_0-mlogloss:0.684176 [34] validation_0-merror:0.25 validation_0-mlogloss:0.684584 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.688431 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.691377 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692346 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.691563 Stopping. Best iteration: [33] validation_0-merror:0.25 validation_0-mlogloss:0.684176 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06603 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.03256 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00455 [3] validation_0-merror:0.4 validation_0-mlogloss:0.972295 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.950131 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.931084 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.911837 [7] validation_0-merror:0.4 validation_0-mlogloss:0.896937 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.875723 [9] validation_0-merror:0.4 validation_0-mlogloss:0.865926 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.854451 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.839305 [12] validation_0-merror:0.4 validation_0-mlogloss:0.83435 [13] validation_0-merror:0.4 validation_0-mlogloss:0.822499 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810033 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805568 [16] validation_0-merror:0.4 validation_0-mlogloss:0.796225 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786848 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782893 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774905 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.76906 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.760268 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759062 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755893 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.752061 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.752762 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.742505 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.739472 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.738853 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.7294 [30] validation_0-merror:0.4 validation_0-mlogloss:0.730808 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.730249 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.724445 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.721205 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.721329 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.725045 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.723897 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.724399 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.731441 Stopping. Best iteration: [33] validation_0-merror:0.383333 validation_0-mlogloss:0.721205 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03297 [2] validation_0-merror:0.433333 validation_0-mlogloss:1.00295 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975749 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.952215 [5] validation_0-merror:0.35 validation_0-mlogloss:0.930921 [6] validation_0-merror:0.35 validation_0-mlogloss:0.911378 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894867 [8] validation_0-merror:0.35 validation_0-mlogloss:0.876699 [9] validation_0-merror:0.35 validation_0-mlogloss:0.860046 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851161 [11] validation_0-merror:0.35 validation_0-mlogloss:0.839783 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823985 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.816807 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80977 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798088 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.792081 [17] validation_0-merror:0.35 validation_0-mlogloss:0.782982 [18] validation_0-merror:0.35 validation_0-mlogloss:0.784431 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.777371 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.776546 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770613 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767026 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762824 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760628 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757296 [26] validation_0-merror:0.35 validation_0-mlogloss:0.748572 [27] validation_0-merror:0.35 validation_0-mlogloss:0.744931 [28] validation_0-merror:0.35 validation_0-mlogloss:0.736967 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.731574 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.727157 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.722867 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.722018 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721164 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.723437 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.723266 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.722846 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721668 [38] validation_0-merror:0.35 validation_0-mlogloss:0.72244 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721164 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939889 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921416 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901778 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883364 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.870313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.850385 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839696 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824177 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80969 [13] validation_0-merror:0.3 validation_0-mlogloss:0.803127 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795558 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783441 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774689 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769935 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759612 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752827 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745887 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739885 [22] validation_0-merror:0.3 validation_0-mlogloss:0.730858 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726077 [24] validation_0-merror:0.3 validation_0-mlogloss:0.721828 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716838 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715424 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.711881 [28] validation_0-merror:0.3 validation_0-mlogloss:0.707028 [29] validation_0-merror:0.3 validation_0-mlogloss:0.705995 [30] validation_0-merror:0.3 validation_0-mlogloss:0.699056 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699195 [32] validation_0-merror:0.3 validation_0-mlogloss:0.69689 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.694283 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690674 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.687055 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687675 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685329 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68243 [39] validation_0-merror:0.3 validation_0-mlogloss:0.68037 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682121 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677886 [42] validation_0-merror:0.3 validation_0-mlogloss:0.672994 [43] validation_0-merror:0.3 validation_0-mlogloss:0.672349 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671889 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.673352 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.673695 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672842 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.675938 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.672689 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671889 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964285 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942478 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922831 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907381 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894374 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878642 [9] validation_0-merror:0.4 validation_0-mlogloss:0.863877 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.850536 [11] validation_0-merror:0.35 validation_0-mlogloss:0.839802 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830319 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816284 [14] validation_0-merror:0.4 validation_0-mlogloss:0.805601 [15] validation_0-merror:0.4 validation_0-mlogloss:0.797503 [16] validation_0-merror:0.4 validation_0-mlogloss:0.787721 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782391 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.777615 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.771412 [20] validation_0-merror:0.35 validation_0-mlogloss:0.764062 [21] validation_0-merror:0.35 validation_0-mlogloss:0.759067 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761196 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755761 [24] validation_0-merror:0.35 validation_0-mlogloss:0.751927 [25] validation_0-merror:0.35 validation_0-mlogloss:0.750047 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.747557 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742255 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739742 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.73775 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735813 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.735558 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.732092 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.731565 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.730766 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.732122 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727914 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.729822 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.733106 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.73061 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.730254 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.731014 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727914 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939203 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917829 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890208 [9] validation_0-merror:0.35 validation_0-mlogloss:0.882502 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.880635 [11] validation_0-merror:0.4 validation_0-mlogloss:0.875191 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.86135 [13] validation_0-merror:0.4 validation_0-mlogloss:0.851909 [14] validation_0-merror:0.35 validation_0-mlogloss:0.838467 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.832372 [16] validation_0-merror:0.3 validation_0-mlogloss:0.822843 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.81656 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.812409 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80522 [20] validation_0-merror:0.3 validation_0-mlogloss:0.80147 [21] validation_0-merror:0.3 validation_0-mlogloss:0.796682 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.794253 [23] validation_0-merror:0.3 validation_0-mlogloss:0.790197 [24] validation_0-merror:0.3 validation_0-mlogloss:0.786254 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.781906 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777984 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778654 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.772839 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771083 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771318 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.768965 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767554 [33] validation_0-merror:0.3 validation_0-mlogloss:0.762236 [34] validation_0-merror:0.3 validation_0-mlogloss:0.75858 [35] validation_0-merror:0.3 validation_0-mlogloss:0.760106 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.760676 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.757308 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.754719 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.754113 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.750875 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.748519 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.747191 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.745746 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.744648 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.744148 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.742754 [47] validation_0-merror:0.3 validation_0-mlogloss:0.740845 [48] validation_0-merror:0.3 validation_0-mlogloss:0.739868 [49] validation_0-merror:0.3 validation_0-mlogloss:0.739078 [50] validation_0-merror:0.3 validation_0-mlogloss:0.735767 [51] validation_0-merror:0.3 validation_0-mlogloss:0.735862 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.737946 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.736404 [54] validation_0-merror:0.3 validation_0-mlogloss:0.736819 [55] validation_0-merror:0.3 validation_0-mlogloss:0.736857 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.735767 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02634 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99714 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971102 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.951412 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.932375 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.915287 [7] validation_0-merror:0.4 validation_0-mlogloss:0.901194 [8] validation_0-merror:0.4 validation_0-mlogloss:0.887454 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.875624 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.865081 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854588 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.845945 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.830317 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816882 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812255 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799933 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789782 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.782704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775422 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76997 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.767029 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763714 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762595 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75976 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.754243 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754269 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.75201 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750069 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748767 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.743968 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.742985 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.739747 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.736117 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.733818 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.730762 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.729481 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.729272 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.727225 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.725069 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.724235 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.722912 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.724901 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.723725 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.719606 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.716743 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.714472 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.712545 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.713271 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.71062 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.706653 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.707575 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.706974 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.705599 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.703974 [55] validation_0-merror:0.3 validation_0-mlogloss:0.703031 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.701964 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.70074 [58] validation_0-merror:0.3 validation_0-mlogloss:0.698831 [59] validation_0-merror:0.3 validation_0-mlogloss:0.701448 [60] validation_0-merror:0.3 validation_0-mlogloss:0.70106 [61] validation_0-merror:0.3 validation_0-mlogloss:0.700373 [62] validation_0-merror:0.3 validation_0-mlogloss:0.698692 [63] validation_0-merror:0.3 validation_0-mlogloss:0.696656 [64] validation_0-merror:0.3 validation_0-mlogloss:0.696919 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.695613 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.696868 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.695964 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.693542 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.693459 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.693053 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.693526 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.693887 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.694026 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.693711 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.693422 Stopping. Best iteration: [70] validation_0-merror:0.266667 validation_0-mlogloss:0.693053 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01983 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990578 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966793 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941737 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923955 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.908105 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891338 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877306 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863576 [10] validation_0-merror:0.35 validation_0-mlogloss:0.851224 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840962 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831201 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823243 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814924 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805401 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.800058 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.794395 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785535 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778818 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.772666 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769354 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.762752 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756865 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.754129 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.750084 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745664 [27] validation_0-merror:0.35 validation_0-mlogloss:0.741236 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.737528 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733634 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734571 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73174 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726721 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725894 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.723662 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721984 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721397 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.720176 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.716799 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.719052 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.71665 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.716173 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.716583 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.716791 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.717269 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.719248 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.721411 Stopping. Best iteration: [41] validation_0-merror:0.333333 validation_0-mlogloss:0.716173 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948388 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.93058 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.915885 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900619 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890142 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.881612 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.871718 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866692 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.857118 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.852384 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.842599 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.838746 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.83203 [17] validation_0-merror:0.35 validation_0-mlogloss:0.827553 [18] validation_0-merror:0.35 validation_0-mlogloss:0.826921 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.820801 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.813235 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.810188 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.801654 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.797783 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.795003 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.787203 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.781602 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.7784 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.779677 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.775504 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.768831 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.764861 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.763197 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.760739 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.758985 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.755105 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.751439 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.747641 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.746909 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.741732 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.740759 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.738397 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.737079 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.736032 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.731723 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.730528 [46] validation_0-merror:0.3 validation_0-mlogloss:0.729072 [47] validation_0-merror:0.3 validation_0-mlogloss:0.725297 [48] validation_0-merror:0.3 validation_0-mlogloss:0.725606 [49] validation_0-merror:0.3 validation_0-mlogloss:0.724594 [50] validation_0-merror:0.3 validation_0-mlogloss:0.724653 [51] validation_0-merror:0.3 validation_0-mlogloss:0.726302 [52] validation_0-merror:0.3 validation_0-mlogloss:0.724509 [53] validation_0-merror:0.3 validation_0-mlogloss:0.722416 [54] validation_0-merror:0.3 validation_0-mlogloss:0.72305 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.720238 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.720716 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.719442 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.71801 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.720451 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.721586 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.723004 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.725314 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.724736 Stopping. Best iteration: [58] validation_0-merror:0.266667 validation_0-mlogloss:0.71801 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04886 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00814 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975241 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947817 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.921031 [5] validation_0-merror:0.35 validation_0-mlogloss:0.897801 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879637 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862476 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840889 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.824091 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81404 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804663 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796856 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788511 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781314 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771198 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763913 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757702 [18] validation_0-merror:0.3 validation_0-mlogloss:0.750546 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743354 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737994 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.736829 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.730669 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.724751 [24] validation_0-merror:0.25 validation_0-mlogloss:0.714613 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.709451 [26] validation_0-merror:0.25 validation_0-mlogloss:0.710028 [27] validation_0-merror:0.25 validation_0-mlogloss:0.706569 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706994 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709111 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.705263 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.704857 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.707146 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.705404 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705014 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.706817 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.709558 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.704857 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01619 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976542 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945719 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.923849 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.904871 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885408 [7] validation_0-merror:0.4 validation_0-mlogloss:0.865826 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.850888 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.84413 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.835685 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.823687 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824466 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.81376 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.800281 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.78801 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.780886 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.782441 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.776335 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77095 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.770474 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764579 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768507 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764607 [24] validation_0-merror:0.35 validation_0-mlogloss:0.761065 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765753 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76252 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.763359 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.766435 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.765869 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.761065 [0] validation_0-merror:0.45 validation_0-mlogloss:1.04928 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01392 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985189 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951421 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920018 [5] validation_0-merror:0.3 validation_0-mlogloss:0.898031 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.87853 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86401 [8] validation_0-merror:0.35 validation_0-mlogloss:0.850995 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832824 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830894 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818305 [12] validation_0-merror:0.3 validation_0-mlogloss:0.800898 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.795985 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.783263 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.771622 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.7632 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.747953 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752605 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.749663 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748481 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75292 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.750928 Stopping. Best iteration: [17] validation_0-merror:0.283333 validation_0-mlogloss:0.747953 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04781 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00445 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.965025 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941685 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.916971 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.891845 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.868252 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849743 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.832008 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.815252 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.806149 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.785637 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.775789 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.765925 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.755144 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.751141 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.741745 [17] validation_0-merror:0.3 validation_0-mlogloss:0.73612 [18] validation_0-merror:0.3 validation_0-mlogloss:0.727058 [19] validation_0-merror:0.3 validation_0-mlogloss:0.722884 [20] validation_0-merror:0.3 validation_0-mlogloss:0.715841 [21] validation_0-merror:0.3 validation_0-mlogloss:0.705618 [22] validation_0-merror:0.25 validation_0-mlogloss:0.701025 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.696753 [24] validation_0-merror:0.25 validation_0-mlogloss:0.689789 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.688393 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.686454 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.683311 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.683189 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.684099 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685743 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691196 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689387 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.688675 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.683189 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05075 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01382 [2] validation_0-merror:0.4 validation_0-mlogloss:0.978278 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.938698 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.911848 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.896002 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882529 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867295 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849717 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840879 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83358 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.826539 [12] validation_0-merror:0.35 validation_0-mlogloss:0.822406 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815991 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.807146 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805166 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797583 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.796312 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790512 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.783349 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781235 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.772888 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.775764 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772998 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.77061 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.767178 [26] validation_0-merror:0.3 validation_0-mlogloss:0.767703 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765502 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.76626 [29] validation_0-merror:0.3 validation_0-mlogloss:0.767089 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.768563 [31] validation_0-merror:0.3 validation_0-mlogloss:0.771339 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.773231 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.765502 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.05041 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00615 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97621 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.942317 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923397 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907792 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.887441 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.869235 [8] validation_0-merror:0.3 validation_0-mlogloss:0.852693 [9] validation_0-merror:0.3 validation_0-mlogloss:0.848248 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.839254 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.837884 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.829445 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820164 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.809696 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.801948 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.795567 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785236 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785593 [19] validation_0-merror:0.3 validation_0-mlogloss:0.774696 [20] validation_0-merror:0.3 validation_0-mlogloss:0.769238 [21] validation_0-merror:0.3 validation_0-mlogloss:0.76753 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762317 [23] validation_0-merror:0.3 validation_0-mlogloss:0.761398 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.757079 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.757135 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.754912 [27] validation_0-merror:0.3 validation_0-mlogloss:0.75498 [28] validation_0-merror:0.3 validation_0-mlogloss:0.758843 [29] validation_0-merror:0.3 validation_0-mlogloss:0.763662 [30] validation_0-merror:0.3 validation_0-mlogloss:0.76865 [31] validation_0-merror:0.3 validation_0-mlogloss:0.767571 Stopping. Best iteration: [26] validation_0-merror:0.283333 validation_0-mlogloss:0.754912 [0] validation_0-merror:0.35 validation_0-mlogloss:1.045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00199 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.965363 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.935796 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.91164 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.889846 [6] validation_0-merror:0.266667 validation_0-mlogloss:0.872597 [7] validation_0-merror:0.25 validation_0-mlogloss:0.855389 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.838828 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821531 [10] validation_0-merror:0.3 validation_0-mlogloss:0.805389 [11] validation_0-merror:0.3 validation_0-mlogloss:0.789939 [12] validation_0-merror:0.3 validation_0-mlogloss:0.780283 [13] validation_0-merror:0.3 validation_0-mlogloss:0.767359 [14] validation_0-merror:0.3 validation_0-mlogloss:0.755527 [15] validation_0-merror:0.3 validation_0-mlogloss:0.749413 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.748201 [17] validation_0-merror:0.3 validation_0-mlogloss:0.740882 [18] validation_0-merror:0.3 validation_0-mlogloss:0.734863 [19] validation_0-merror:0.3 validation_0-mlogloss:0.729675 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.726049 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.722946 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.720739 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719678 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.717017 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.71067 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.708448 [27] validation_0-merror:0.25 validation_0-mlogloss:0.703023 [28] validation_0-merror:0.25 validation_0-mlogloss:0.701608 [29] validation_0-merror:0.25 validation_0-mlogloss:0.698863 [30] validation_0-merror:0.25 validation_0-mlogloss:0.694496 [31] validation_0-merror:0.25 validation_0-mlogloss:0.691327 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.690574 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.688787 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.687124 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.687103 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.685494 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.685587 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.687169 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.689949 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.690801 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.691319 Stopping. Best iteration: [36] validation_0-merror:0.233333 validation_0-mlogloss:0.685494 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04895 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00703 [2] validation_0-merror:0.35 validation_0-mlogloss:0.970941 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.943127 [4] validation_0-merror:0.35 validation_0-mlogloss:0.915893 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894626 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880108 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868592 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862674 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857274 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852517 [11] validation_0-merror:0.4 validation_0-mlogloss:0.837166 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827394 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815656 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.807347 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802814 [16] validation_0-merror:0.35 validation_0-mlogloss:0.797297 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.791033 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.795242 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.799557 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.793473 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.79785 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.799045 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.791033 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05113 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01088 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97465 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.943371 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917827 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.897932 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.878475 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867618 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855503 [9] validation_0-merror:0.35 validation_0-mlogloss:0.8496 [10] validation_0-merror:0.35 validation_0-mlogloss:0.840165 [11] validation_0-merror:0.35 validation_0-mlogloss:0.835579 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829044 [13] validation_0-merror:0.35 validation_0-mlogloss:0.827014 [14] validation_0-merror:0.35 validation_0-mlogloss:0.823725 [15] validation_0-merror:0.35 validation_0-mlogloss:0.820193 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.817549 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.815395 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.816776 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.817634 [20] validation_0-merror:0.35 validation_0-mlogloss:0.818263 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.818574 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.817701 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.815395 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04771 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00582 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976973 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950412 [4] validation_0-merror:0.35 validation_0-mlogloss:0.923625 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.900934 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881287 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86825 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848615 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829629 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820199 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810409 [12] validation_0-merror:0.35 validation_0-mlogloss:0.80663 [13] validation_0-merror:0.35 validation_0-mlogloss:0.800821 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795348 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786435 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78265 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774759 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768588 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.761819 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.751184 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745824 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741139 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735833 [24] validation_0-merror:0.3 validation_0-mlogloss:0.726934 [25] validation_0-merror:0.3 validation_0-mlogloss:0.721614 [26] validation_0-merror:0.3 validation_0-mlogloss:0.720821 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716447 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709253 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709038 [30] validation_0-merror:0.3 validation_0-mlogloss:0.707864 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708445 [32] validation_0-merror:0.3 validation_0-mlogloss:0.711428 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708826 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708086 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71181 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.707864 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06209 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02077 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984785 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952485 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.927915 [5] validation_0-merror:0.4 validation_0-mlogloss:0.907353 [6] validation_0-merror:0.4 validation_0-mlogloss:0.886551 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867981 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.847704 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.839859 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.830115 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.818154 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.815 [13] validation_0-merror:0.4 validation_0-mlogloss:0.809165 [14] validation_0-merror:0.4 validation_0-mlogloss:0.79954 [15] validation_0-merror:0.4 validation_0-mlogloss:0.788695 [16] validation_0-merror:0.4 validation_0-mlogloss:0.78525 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.783392 [18] validation_0-merror:0.4 validation_0-mlogloss:0.77671 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.76847 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766078 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.755548 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.756635 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.752463 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.749977 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.753345 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.750076 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.755866 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.744753 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.745994 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.744232 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.746445 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.746863 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.747918 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.755035 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.758111 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.744232 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05227 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01599 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.982606 [3] validation_0-merror:0.35 validation_0-mlogloss:0.951473 [4] validation_0-merror:0.35 validation_0-mlogloss:0.922104 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.902919 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88565 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.87217 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85624 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844708 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84096 [11] validation_0-merror:0.35 validation_0-mlogloss:0.830072 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815932 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.814237 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797205 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784522 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777311 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764103 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766896 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767483 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769751 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.766593 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.763969 [23] validation_0-merror:0.35 validation_0-mlogloss:0.761651 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.764234 [25] validation_0-merror:0.35 validation_0-mlogloss:0.766688 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.763557 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.75785 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.750502 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.750694 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747936 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748959 [32] validation_0-merror:0.3 validation_0-mlogloss:0.75012 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.748566 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.748722 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.748661 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747936 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00882 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97103 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944041 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920076 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.894997 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.873475 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.852846 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.834562 [9] validation_0-merror:0.3 validation_0-mlogloss:0.820851 [10] validation_0-merror:0.3 validation_0-mlogloss:0.809147 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.792381 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.778737 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.770939 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.764423 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.757002 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.750157 [17] validation_0-merror:0.3 validation_0-mlogloss:0.747632 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.738593 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.732942 [20] validation_0-merror:0.25 validation_0-mlogloss:0.721143 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.713333 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.706224 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.704214 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.700022 [25] validation_0-merror:0.25 validation_0-mlogloss:0.692296 [26] validation_0-merror:0.25 validation_0-mlogloss:0.690248 [27] validation_0-merror:0.25 validation_0-mlogloss:0.684378 [28] validation_0-merror:0.25 validation_0-mlogloss:0.681197 [29] validation_0-merror:0.25 validation_0-mlogloss:0.682421 [30] validation_0-merror:0.25 validation_0-mlogloss:0.685906 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.685507 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.686213 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687198 Stopping. Best iteration: [28] validation_0-merror:0.25 validation_0-mlogloss:0.681197 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04879 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01356 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976484 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.936234 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914336 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.899513 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.882168 [7] validation_0-merror:0.4 validation_0-mlogloss:0.869779 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.850625 [9] validation_0-merror:0.4 validation_0-mlogloss:0.835119 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.823086 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.813578 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.807851 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.801937 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.790504 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.782996 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777955 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.776463 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769866 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763295 [20] validation_0-merror:0.35 validation_0-mlogloss:0.763006 [21] validation_0-merror:0.35 validation_0-mlogloss:0.755717 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.756687 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752924 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748904 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.745242 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741632 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.743723 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.745027 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748157 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.750505 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.749843 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741632 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05213 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00889 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980614 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.942842 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922156 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90353 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.882032 [7] validation_0-merror:0.3 validation_0-mlogloss:0.861196 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849308 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843894 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.841954 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.839194 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.829263 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.823347 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81067 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800642 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.795999 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.787901 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.785297 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778169 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.77086 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.766919 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.762616 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762726 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756517 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.755126 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755131 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.754975 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.755642 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.754472 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.758622 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.758579 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.752576 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.752911 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.751077 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.754373 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.747236 [37] validation_0-merror:0.35 validation_0-mlogloss:0.750799 [38] validation_0-merror:0.35 validation_0-mlogloss:0.749592 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.748699 [40] validation_0-merror:0.35 validation_0-mlogloss:0.750242 [41] validation_0-merror:0.35 validation_0-mlogloss:0.753081 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.747236 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00433 [2] validation_0-merror:0.3 validation_0-mlogloss:0.971399 [3] validation_0-merror:0.3 validation_0-mlogloss:0.93852 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914867 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.89175 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870608 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.857499 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.841437 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831653 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820491 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.80871 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798208 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790839 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780664 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774298 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76658 [17] validation_0-merror:0.3 validation_0-mlogloss:0.759456 [18] validation_0-merror:0.3 validation_0-mlogloss:0.754178 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750856 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747079 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745226 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742083 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738769 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734088 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732962 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732677 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730963 [28] validation_0-merror:0.3 validation_0-mlogloss:0.730876 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73076 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.729255 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.724621 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.721893 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.7217 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.721576 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.721004 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.723152 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.723655 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.724873 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.724035 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.719398 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.718524 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.716615 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.714733 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.712855 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.713209 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.713154 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.714903 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.708788 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.709224 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.709078 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.707855 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.704609 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.705987 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.703915 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.704335 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.703049 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.704197 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.702914 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.702903 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.702458 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.70286 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.702279 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.702785 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.702255 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.702584 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.70285 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.703194 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.704258 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.703976 Stopping. Best iteration: [64] validation_0-merror:0.266667 validation_0-mlogloss:0.702255 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04808 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00622 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.970903 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.943206 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.914255 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.892535 [6] validation_0-merror:0.4 validation_0-mlogloss:0.877986 [7] validation_0-merror:0.4 validation_0-mlogloss:0.862735 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851846 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83804 [10] validation_0-merror:0.4 validation_0-mlogloss:0.831641 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826496 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827621 [13] validation_0-merror:0.4 validation_0-mlogloss:0.821729 [14] validation_0-merror:0.4 validation_0-mlogloss:0.824759 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.823453 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.818635 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.820028 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.815825 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.817492 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.81074 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.810807 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.806756 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.811576 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.808043 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.81046 [26] validation_0-merror:0.35 validation_0-mlogloss:0.811661 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.809352 Stopping. Best iteration: [22] validation_0-merror:0.383333 validation_0-mlogloss:0.806756 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04744 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00819 [2] validation_0-merror:0.35 validation_0-mlogloss:0.971698 [3] validation_0-merror:0.35 validation_0-mlogloss:0.940402 [4] validation_0-merror:0.35 validation_0-mlogloss:0.90681 [5] validation_0-merror:0.35 validation_0-mlogloss:0.888246 [6] validation_0-merror:0.35 validation_0-mlogloss:0.870937 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859805 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852833 [9] validation_0-merror:0.3 validation_0-mlogloss:0.842421 [10] validation_0-merror:0.3 validation_0-mlogloss:0.833229 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.827483 [12] validation_0-merror:0.3 validation_0-mlogloss:0.823367 [13] validation_0-merror:0.3 validation_0-mlogloss:0.815924 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.815648 [15] validation_0-merror:0.3 validation_0-mlogloss:0.812583 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.810786 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.807082 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.806113 [19] validation_0-merror:0.3 validation_0-mlogloss:0.802141 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.79873 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.79502 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.792041 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.788116 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.788083 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.785609 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.786626 [27] validation_0-merror:0.3 validation_0-mlogloss:0.78439 [28] validation_0-merror:0.3 validation_0-mlogloss:0.781495 [29] validation_0-merror:0.3 validation_0-mlogloss:0.78545 [30] validation_0-merror:0.3 validation_0-mlogloss:0.782636 [31] validation_0-merror:0.3 validation_0-mlogloss:0.789079 [32] validation_0-merror:0.3 validation_0-mlogloss:0.792379 [33] validation_0-merror:0.3 validation_0-mlogloss:0.792783 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.781495 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0477 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0074 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948626 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9271 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905148 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869245 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852254 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836373 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825429 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813932 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805343 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795123 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789193 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780651 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769321 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765446 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757186 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75148 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742577 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737644 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73492 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727097 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718508 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713371 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714724 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709356 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70369 [29] validation_0-merror:0.3 validation_0-mlogloss:0.705476 [30] validation_0-merror:0.3 validation_0-mlogloss:0.707057 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706958 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709818 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713442 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.70369 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02038 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985375 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951029 [4] validation_0-merror:0.4 validation_0-mlogloss:0.925048 [5] validation_0-merror:0.4 validation_0-mlogloss:0.903554 [6] validation_0-merror:0.4 validation_0-mlogloss:0.885245 [7] validation_0-merror:0.4 validation_0-mlogloss:0.871408 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852867 [9] validation_0-merror:0.4 validation_0-mlogloss:0.845729 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.837629 [11] validation_0-merror:0.4 validation_0-mlogloss:0.82722 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.825651 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816675 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.811637 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799608 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.793824 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792468 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7857 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.780704 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778351 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.767124 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766278 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760692 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760003 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.757815 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.752763 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751376 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.741015 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739773 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.738467 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.740058 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.739013 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74485 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.751367 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.750225 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.752008 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994714 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962407 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935632 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914989 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.892737 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880219 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863983 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851493 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.844207 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829947 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814123 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808994 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.793209 [15] validation_0-merror:0.3 validation_0-mlogloss:0.7783 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.767963 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.76383 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.763991 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760338 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763547 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764154 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76163 [23] validation_0-merror:0.3 validation_0-mlogloss:0.756494 [24] validation_0-merror:0.3 validation_0-mlogloss:0.756833 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.754292 [26] validation_0-merror:0.3 validation_0-mlogloss:0.747975 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740983 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.732514 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732417 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726635 [31] validation_0-merror:0.3 validation_0-mlogloss:0.726138 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728005 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729766 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728016 [35] validation_0-merror:0.3 validation_0-mlogloss:0.728324 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.729186 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.726138 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04973 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00856 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.97416 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947647 [4] validation_0-merror:0.35 validation_0-mlogloss:0.923049 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903709 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.882666 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864145 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847604 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829518 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820271 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.803021 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793342 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786982 [14] validation_0-merror:0.3 validation_0-mlogloss:0.77916 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768177 [16] validation_0-merror:0.3 validation_0-mlogloss:0.758686 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7539 [18] validation_0-merror:0.3 validation_0-mlogloss:0.744838 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741892 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731489 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.723774 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.718608 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.715676 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.710581 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.705204 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.704073 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.702325 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.699655 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701753 [30] validation_0-merror:0.3 validation_0-mlogloss:0.700654 [31] validation_0-merror:0.3 validation_0-mlogloss:0.698223 [32] validation_0-merror:0.3 validation_0-mlogloss:0.697494 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697839 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701031 [35] validation_0-merror:0.3 validation_0-mlogloss:0.697456 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.697729 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.693769 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.691769 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.691091 [40] validation_0-merror:0.3 validation_0-mlogloss:0.693541 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.689972 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.687536 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.689723 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.689598 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.687295 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.691066 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.692458 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.688585 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.690997 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.690738 Stopping. Best iteration: [45] validation_0-merror:0.266667 validation_0-mlogloss:0.687295 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04811 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01124 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.973495 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.935034 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.916069 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.897435 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.879714 [7] validation_0-merror:0.4 validation_0-mlogloss:0.868019 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.851914 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.836058 [10] validation_0-merror:0.4 validation_0-mlogloss:0.823098 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.811712 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.806308 [13] validation_0-merror:0.4 validation_0-mlogloss:0.799674 [14] validation_0-merror:0.4 validation_0-mlogloss:0.787482 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780242 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.774923 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.763898 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.757441 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.755133 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.753077 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.746829 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.755548 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.752447 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.748081 [25] validation_0-merror:0.35 validation_0-mlogloss:0.748321 [26] validation_0-merror:0.35 validation_0-mlogloss:0.744915 [27] validation_0-merror:0.35 validation_0-mlogloss:0.743237 [28] validation_0-merror:0.35 validation_0-mlogloss:0.743635 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747061 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.748653 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.753804 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.753052 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.743237 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01197 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979477 [3] validation_0-merror:0.3 validation_0-mlogloss:0.943814 [4] validation_0-merror:0.3 validation_0-mlogloss:0.924631 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.906954 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883938 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.865646 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859395 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.854542 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850847 [11] validation_0-merror:0.3 validation_0-mlogloss:0.844945 [12] validation_0-merror:0.3 validation_0-mlogloss:0.834931 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831801 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [15] validation_0-merror:0.3 validation_0-mlogloss:0.809602 [16] validation_0-merror:0.3 validation_0-mlogloss:0.79929 [17] validation_0-merror:0.3 validation_0-mlogloss:0.791603 [18] validation_0-merror:0.3 validation_0-mlogloss:0.787611 [19] validation_0-merror:0.3 validation_0-mlogloss:0.778156 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.769111 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.768109 [22] validation_0-merror:0.3 validation_0-mlogloss:0.762652 [23] validation_0-merror:0.3 validation_0-mlogloss:0.760209 [24] validation_0-merror:0.3 validation_0-mlogloss:0.756999 [25] validation_0-merror:0.3 validation_0-mlogloss:0.75419 [26] validation_0-merror:0.3 validation_0-mlogloss:0.752278 [27] validation_0-merror:0.3 validation_0-mlogloss:0.750239 [28] validation_0-merror:0.3 validation_0-mlogloss:0.750588 [29] validation_0-merror:0.3 validation_0-mlogloss:0.751481 [30] validation_0-merror:0.3 validation_0-mlogloss:0.754757 [31] validation_0-merror:0.3 validation_0-mlogloss:0.75458 [32] validation_0-merror:0.3 validation_0-mlogloss:0.75481 Stopping. Best iteration: [27] validation_0-merror:0.3 validation_0-mlogloss:0.750239 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00281 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967449 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.936545 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909169 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.888255 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871366 [7] validation_0-merror:0.35 validation_0-mlogloss:0.854844 [8] validation_0-merror:0.35 validation_0-mlogloss:0.842605 [9] validation_0-merror:0.35 validation_0-mlogloss:0.82865 [10] validation_0-merror:0.35 validation_0-mlogloss:0.8204 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813109 [12] validation_0-merror:0.35 validation_0-mlogloss:0.807268 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797122 [14] validation_0-merror:0.35 validation_0-mlogloss:0.79243 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785394 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779812 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.774792 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769991 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768683 [20] validation_0-merror:0.3 validation_0-mlogloss:0.767323 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76282 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.763012 [23] validation_0-merror:0.35 validation_0-mlogloss:0.762845 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760134 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.759264 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.755054 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.755618 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.754759 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.756485 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.756994 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.755486 [32] validation_0-merror:0.3 validation_0-mlogloss:0.749901 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.750372 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.750782 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.748534 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.749161 [37] validation_0-merror:0.3 validation_0-mlogloss:0.750303 [38] validation_0-merror:0.3 validation_0-mlogloss:0.751736 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.750579 [40] validation_0-merror:0.3 validation_0-mlogloss:0.749414 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.748534 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04776 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0027 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.966074 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.934135 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907663 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.887157 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.869431 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.848824 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838351 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.827546 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.817474 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.805369 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.796167 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.78803 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78369 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.779137 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.777479 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.772035 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772578 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.772904 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.766653 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76053 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.758381 [23] validation_0-merror:0.35 validation_0-mlogloss:0.752554 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75445 [25] validation_0-merror:0.35 validation_0-mlogloss:0.759422 [26] validation_0-merror:0.35 validation_0-mlogloss:0.761052 [27] validation_0-merror:0.35 validation_0-mlogloss:0.760245 [28] validation_0-merror:0.35 validation_0-mlogloss:0.760114 Stopping. Best iteration: [23] validation_0-merror:0.35 validation_0-mlogloss:0.752554 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00739 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.976916 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948202 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.926919 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905136 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88265 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.868101 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856585 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846158 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.833871 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824809 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.816163 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.811524 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.80914 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.808001 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.808285 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.806284 [18] validation_0-merror:0.3 validation_0-mlogloss:0.803594 [19] validation_0-merror:0.3 validation_0-mlogloss:0.803277 [20] validation_0-merror:0.3 validation_0-mlogloss:0.802169 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.799884 [22] validation_0-merror:0.3 validation_0-mlogloss:0.79643 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.790738 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.79119 [25] validation_0-merror:0.3 validation_0-mlogloss:0.78599 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.785205 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.782839 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.782135 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781494 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.783019 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.777582 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.777441 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.77717 [34] validation_0-merror:0.3 validation_0-mlogloss:0.779104 [35] validation_0-merror:0.3 validation_0-mlogloss:0.779859 [36] validation_0-merror:0.3 validation_0-mlogloss:0.778466 [37] validation_0-merror:0.3 validation_0-mlogloss:0.778533 [38] validation_0-merror:0.3 validation_0-mlogloss:0.777889 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.77717 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01121 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.4 validation_0-mlogloss:0.949096 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926134 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.905925 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.889145 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.872272 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858968 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840767 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829439 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820361 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813516 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.804551 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.800331 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.789904 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77524 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769249 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.76252 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757431 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749139 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745001 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739844 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728456 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.721487 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714747 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716707 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.706039 [28] validation_0-merror:0.25 validation_0-mlogloss:0.706275 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707564 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709043 [31] validation_0-merror:0.3 validation_0-mlogloss:0.709258 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.70736 Stopping. Best iteration: [27] validation_0-merror:0.283333 validation_0-mlogloss:0.706039 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02238 [2] validation_0-merror:0.4 validation_0-mlogloss:0.989599 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957193 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.935174 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914429 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.89488 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.880758 [8] validation_0-merror:0.4 validation_0-mlogloss:0.86096 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851865 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.842753 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829972 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827766 [13] validation_0-merror:0.4 validation_0-mlogloss:0.818946 [14] validation_0-merror:0.4 validation_0-mlogloss:0.808251 [15] validation_0-merror:0.4 validation_0-mlogloss:0.801612 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790978 [17] validation_0-merror:0.4 validation_0-mlogloss:0.785398 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783814 [19] validation_0-merror:0.4 validation_0-mlogloss:0.776601 [20] validation_0-merror:0.4 validation_0-mlogloss:0.771695 [21] validation_0-merror:0.4 validation_0-mlogloss:0.76778 [22] validation_0-merror:0.4 validation_0-mlogloss:0.767168 [23] validation_0-merror:0.4 validation_0-mlogloss:0.763571 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758794 [25] validation_0-merror:0.4 validation_0-mlogloss:0.760585 [26] validation_0-merror:0.4 validation_0-mlogloss:0.752688 [27] validation_0-merror:0.4 validation_0-mlogloss:0.75214 [28] validation_0-merror:0.4 validation_0-mlogloss:0.750601 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749229 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749249 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.750828 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.750624 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.751673 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.757238 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.749229 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966538 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945973 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927728 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.911445 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.896579 [8] validation_0-merror:0.35 validation_0-mlogloss:0.880289 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867991 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861798 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.85115 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.835255 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.827845 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.819357 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.81032 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802339 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793478 [18] validation_0-merror:0.35 validation_0-mlogloss:0.794311 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791479 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.791039 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.790459 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.789232 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.782582 [24] validation_0-merror:0.35 validation_0-mlogloss:0.780582 [25] validation_0-merror:0.35 validation_0-mlogloss:0.780083 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771957 [27] validation_0-merror:0.35 validation_0-mlogloss:0.770481 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.766946 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.766413 [30] validation_0-merror:0.35 validation_0-mlogloss:0.762902 [31] validation_0-merror:0.35 validation_0-mlogloss:0.760399 [32] validation_0-merror:0.35 validation_0-mlogloss:0.761833 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.765055 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.764643 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.763919 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.763764 Stopping. Best iteration: [31] validation_0-merror:0.35 validation_0-mlogloss:0.760399 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01052 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977855 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951682 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.929663 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909241 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888031 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86923 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85063 [9] validation_0-merror:0.4 validation_0-mlogloss:0.83298 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.82064 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804888 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.792431 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786163 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782807 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774283 [16] validation_0-merror:0.35 validation_0-mlogloss:0.764839 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75956 [18] validation_0-merror:0.3 validation_0-mlogloss:0.74863 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746956 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737963 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.731914 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.724006 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.72002 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.714137 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.715751 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714812 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.708843 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.707196 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.70627 [30] validation_0-merror:0.25 validation_0-mlogloss:0.705118 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.705102 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.703829 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.704573 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.706332 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.703705 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.707743 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.70489 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.702498 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.701937 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.702443 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.701864 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.700001 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.70055 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.703643 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.704358 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.703578 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.703407 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.700001 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04959 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01519 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980915 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945639 [4] validation_0-merror:0.35 validation_0-mlogloss:0.922503 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885609 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.876466 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.863884 [9] validation_0-merror:0.4 validation_0-mlogloss:0.850232 [10] validation_0-merror:0.4 validation_0-mlogloss:0.833803 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826195 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.81877 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809581 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797695 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.790572 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784098 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779767 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772463 [19] validation_0-merror:0.35 validation_0-mlogloss:0.765784 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76509 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763253 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768114 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762889 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76032 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765168 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760934 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.760768 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763132 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.764917 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76032 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01454 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985477 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.954951 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.936736 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921607 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900822 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.885648 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875233 [9] validation_0-merror:0.3 validation_0-mlogloss:0.869453 [10] validation_0-merror:0.3 validation_0-mlogloss:0.865431 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.858649 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.849421 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.845615 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.833321 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.823393 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.813688 [17] validation_0-merror:0.3 validation_0-mlogloss:0.803768 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.800458 [19] validation_0-merror:0.3 validation_0-mlogloss:0.789323 [20] validation_0-merror:0.3 validation_0-mlogloss:0.786059 [21] validation_0-merror:0.3 validation_0-mlogloss:0.783872 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.776839 [23] validation_0-merror:0.3 validation_0-mlogloss:0.771912 [24] validation_0-merror:0.3 validation_0-mlogloss:0.77044 [25] validation_0-merror:0.3 validation_0-mlogloss:0.769127 [26] validation_0-merror:0.3 validation_0-mlogloss:0.767738 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767492 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769155 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771037 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771024 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770823 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767492 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05116 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01327 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981941 [3] validation_0-merror:0.4 validation_0-mlogloss:0.954992 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930274 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911761 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896306 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882235 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869494 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858196 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.848855 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839971 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832926 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.826005 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.821234 [15] validation_0-merror:0.35 validation_0-mlogloss:0.810311 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803683 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79674 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.793084 [19] validation_0-merror:0.35 validation_0-mlogloss:0.786193 [20] validation_0-merror:0.35 validation_0-mlogloss:0.782275 [21] validation_0-merror:0.35 validation_0-mlogloss:0.778346 [22] validation_0-merror:0.35 validation_0-mlogloss:0.777685 [23] validation_0-merror:0.35 validation_0-mlogloss:0.77248 [24] validation_0-merror:0.35 validation_0-mlogloss:0.769432 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.767915 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.767915 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.766344 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.766698 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.763137 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.762576 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.763282 [32] validation_0-merror:0.35 validation_0-mlogloss:0.761107 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.759636 [34] validation_0-merror:0.35 validation_0-mlogloss:0.761479 [35] validation_0-merror:0.35 validation_0-mlogloss:0.761312 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.761009 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.761014 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.756662 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.75606 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.756223 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.754359 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.752355 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.75342 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.753309 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.75278 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.75123 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.750022 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.743968 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.741823 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.743098 [51] validation_0-merror:0.3 validation_0-mlogloss:0.740281 [52] validation_0-merror:0.3 validation_0-mlogloss:0.734771 [53] validation_0-merror:0.3 validation_0-mlogloss:0.733855 [54] validation_0-merror:0.3 validation_0-mlogloss:0.733236 [55] validation_0-merror:0.3 validation_0-mlogloss:0.73077 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.730924 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.729192 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.729566 [59] validation_0-merror:0.3 validation_0-mlogloss:0.729265 [60] validation_0-merror:0.3 validation_0-mlogloss:0.727655 [61] validation_0-merror:0.3 validation_0-mlogloss:0.725248 [62] validation_0-merror:0.3 validation_0-mlogloss:0.726694 [63] validation_0-merror:0.3 validation_0-mlogloss:0.725984 [64] validation_0-merror:0.3 validation_0-mlogloss:0.72668 [65] validation_0-merror:0.3 validation_0-mlogloss:0.727296 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.728483 Stopping. Best iteration: [61] validation_0-merror:0.3 validation_0-mlogloss:0.725248 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00745 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.972267 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.942822 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919725 [5] validation_0-merror:0.4 validation_0-mlogloss:0.89917 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.879173 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.861702 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848028 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836733 [10] validation_0-merror:0.4 validation_0-mlogloss:0.828497 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824604 [12] validation_0-merror:0.4 validation_0-mlogloss:0.814481 [13] validation_0-merror:0.4 validation_0-mlogloss:0.811647 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809183 [15] validation_0-merror:0.4 validation_0-mlogloss:0.805205 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.799086 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.800653 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.794676 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.795903 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.793792 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.791211 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.787844 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.788009 [24] validation_0-merror:0.35 validation_0-mlogloss:0.789541 [25] validation_0-merror:0.35 validation_0-mlogloss:0.787217 [26] validation_0-merror:0.35 validation_0-mlogloss:0.790023 [27] validation_0-merror:0.35 validation_0-mlogloss:0.793748 [28] validation_0-merror:0.35 validation_0-mlogloss:0.79298 [29] validation_0-merror:0.35 validation_0-mlogloss:0.79145 [30] validation_0-merror:0.35 validation_0-mlogloss:0.793196 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.787217 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05152 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.35 validation_0-mlogloss:0.979022 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95128 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932246 [5] validation_0-merror:0.35 validation_0-mlogloss:0.914135 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897286 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881259 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8679 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859163 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.847832 [11] validation_0-merror:0.3 validation_0-mlogloss:0.841485 [12] validation_0-merror:0.3 validation_0-mlogloss:0.837728 [13] validation_0-merror:0.3 validation_0-mlogloss:0.832612 [14] validation_0-merror:0.3 validation_0-mlogloss:0.827322 [15] validation_0-merror:0.3 validation_0-mlogloss:0.830309 [16] validation_0-merror:0.3 validation_0-mlogloss:0.823513 [17] validation_0-merror:0.3 validation_0-mlogloss:0.820665 [18] validation_0-merror:0.3 validation_0-mlogloss:0.811657 [19] validation_0-merror:0.3 validation_0-mlogloss:0.809922 [20] validation_0-merror:0.3 validation_0-mlogloss:0.805545 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801298 [22] validation_0-merror:0.3 validation_0-mlogloss:0.800987 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.797435 [24] validation_0-merror:0.3 validation_0-mlogloss:0.793858 [25] validation_0-merror:0.3 validation_0-mlogloss:0.792055 [26] validation_0-merror:0.3 validation_0-mlogloss:0.790608 [27] validation_0-merror:0.3 validation_0-mlogloss:0.78709 [28] validation_0-merror:0.3 validation_0-mlogloss:0.782661 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.779548 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.777246 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.773164 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.76893 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.767153 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.766291 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.767082 [36] validation_0-merror:0.3 validation_0-mlogloss:0.765322 [37] validation_0-merror:0.3 validation_0-mlogloss:0.764123 [38] validation_0-merror:0.3 validation_0-mlogloss:0.766448 [39] validation_0-merror:0.3 validation_0-mlogloss:0.7673 [40] validation_0-merror:0.3 validation_0-mlogloss:0.768951 [41] validation_0-merror:0.3 validation_0-mlogloss:0.770036 [42] validation_0-merror:0.3 validation_0-mlogloss:0.774442 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.764123 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.949569 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925552 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904728 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888249 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872475 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859133 [9] validation_0-merror:0.35 validation_0-mlogloss:0.841374 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829492 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821349 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.812931 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802411 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.798137 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790866 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779829 [17] validation_0-merror:0.3 validation_0-mlogloss:0.773238 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765655 [19] validation_0-merror:0.3 validation_0-mlogloss:0.759196 [20] validation_0-merror:0.3 validation_0-mlogloss:0.752671 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748891 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.745234 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738275 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.730304 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.724332 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.723415 [27] validation_0-merror:0.25 validation_0-mlogloss:0.717055 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.713539 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.712329 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.712395 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.709245 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.709967 [33] validation_0-merror:0.3 validation_0-mlogloss:0.710268 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707805 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709771 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712054 [37] validation_0-merror:0.3 validation_0-mlogloss:0.716817 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.712002 [39] validation_0-merror:0.3 validation_0-mlogloss:0.710644 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.707805 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994072 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.961102 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937697 [5] validation_0-merror:0.4 validation_0-mlogloss:0.918299 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.898632 [7] validation_0-merror:0.4 validation_0-mlogloss:0.883762 [8] validation_0-merror:0.4 validation_0-mlogloss:0.86374 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.854732 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.844426 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.831711 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.829222 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819682 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811633 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802282 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790711 [17] validation_0-merror:0.4 validation_0-mlogloss:0.785356 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782208 [19] validation_0-merror:0.4 validation_0-mlogloss:0.776337 [20] validation_0-merror:0.4 validation_0-mlogloss:0.768907 [21] validation_0-merror:0.4 validation_0-mlogloss:0.762818 [22] validation_0-merror:0.4 validation_0-mlogloss:0.761374 [23] validation_0-merror:0.4 validation_0-mlogloss:0.758554 [24] validation_0-merror:0.4 validation_0-mlogloss:0.756137 [25] validation_0-merror:0.4 validation_0-mlogloss:0.758598 [26] validation_0-merror:0.4 validation_0-mlogloss:0.75214 [27] validation_0-merror:0.4 validation_0-mlogloss:0.749373 [28] validation_0-merror:0.4 validation_0-mlogloss:0.747385 [29] validation_0-merror:0.4 validation_0-mlogloss:0.743987 [30] validation_0-merror:0.4 validation_0-mlogloss:0.744524 [31] validation_0-merror:0.4 validation_0-mlogloss:0.74622 [32] validation_0-merror:0.4 validation_0-mlogloss:0.747082 [33] validation_0-merror:0.4 validation_0-mlogloss:0.74532 [34] validation_0-merror:0.4 validation_0-mlogloss:0.746563 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.743987 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971465 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946962 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.926604 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.90811 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893351 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877225 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.860803 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85403 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842435 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827337 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.820861 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.809804 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799708 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792592 [17] validation_0-merror:0.35 validation_0-mlogloss:0.784326 [18] validation_0-merror:0.35 validation_0-mlogloss:0.783365 [19] validation_0-merror:0.35 validation_0-mlogloss:0.775697 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775429 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769434 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764402 [23] validation_0-merror:0.35 validation_0-mlogloss:0.757904 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.752596 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749129 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743259 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739566 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736165 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733543 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.72871 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726541 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.725709 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.728774 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728518 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.728608 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.72908 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.726327 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.725709 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01693 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98236 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954865 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.934621 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913307 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.891074 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871145 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854435 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.837677 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824903 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809071 [12] validation_0-merror:0.3 validation_0-mlogloss:0.795899 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787638 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.780781 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772624 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766068 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.766097 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763544 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760333 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755458 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755012 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750264 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743271 [24] validation_0-merror:0.3 validation_0-mlogloss:0.740099 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734022 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.732331 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.726407 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.723047 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.724324 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.722436 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722852 [32] validation_0-merror:0.3 validation_0-mlogloss:0.721709 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721218 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.721488 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.719393 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.719908 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722686 [38] validation_0-merror:0.3 validation_0-mlogloss:0.72008 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.719114 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.718765 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.716464 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.712642 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.711886 [44] validation_0-merror:0.3 validation_0-mlogloss:0.712466 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.709466 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.709996 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.711018 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.710828 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.70881 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.708652 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.711558 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.710566 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.70822 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.708453 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.708358 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.710716 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.708116 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.702177 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.699541 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.700729 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.70187 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.703026 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.703144 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.702617 Stopping. Best iteration: [59] validation_0-merror:0.283333 validation_0-mlogloss:0.699541 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984361 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.953364 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929076 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913488 [6] validation_0-merror:0.4 validation_0-mlogloss:0.89973 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888422 [8] validation_0-merror:0.4 validation_0-mlogloss:0.874703 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.85837 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845216 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.836498 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.827655 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818195 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810388 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.806554 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.799199 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792347 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785486 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779472 [20] validation_0-merror:0.4 validation_0-mlogloss:0.778957 [21] validation_0-merror:0.4 validation_0-mlogloss:0.773499 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.774553 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770158 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767836 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.768764 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.761439 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759408 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.76105 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.76214 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.764567 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.763284 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763583 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.759408 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994172 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962305 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940536 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922579 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902344 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.885278 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8746 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867553 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852111 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842873 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832325 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827329 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819188 [15] validation_0-merror:0.3 validation_0-mlogloss:0.813419 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.809972 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.806094 [18] validation_0-merror:0.3 validation_0-mlogloss:0.801757 [19] validation_0-merror:0.3 validation_0-mlogloss:0.790992 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.786307 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.788011 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.783939 [23] validation_0-merror:0.3 validation_0-mlogloss:0.780572 [24] validation_0-merror:0.3 validation_0-mlogloss:0.779954 [25] validation_0-merror:0.3 validation_0-mlogloss:0.782766 [26] validation_0-merror:0.3 validation_0-mlogloss:0.777408 [27] validation_0-merror:0.3 validation_0-mlogloss:0.774916 [28] validation_0-merror:0.3 validation_0-mlogloss:0.776828 [29] validation_0-merror:0.3 validation_0-mlogloss:0.774125 [30] validation_0-merror:0.3 validation_0-mlogloss:0.77455 [31] validation_0-merror:0.3 validation_0-mlogloss:0.771458 [32] validation_0-merror:0.3 validation_0-mlogloss:0.770056 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767234 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766526 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.768828 [36] validation_0-merror:0.3 validation_0-mlogloss:0.769067 [37] validation_0-merror:0.3 validation_0-mlogloss:0.767699 [38] validation_0-merror:0.3 validation_0-mlogloss:0.763993 [39] validation_0-merror:0.3 validation_0-mlogloss:0.76355 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.761412 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.761384 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.759809 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760384 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.760877 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.761859 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.761482 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.759634 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.758905 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.759487 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.7598 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.761214 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.765678 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.764133 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.758905 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05142 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01449 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983726 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956969 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935971 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91637 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.901132 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885857 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.872996 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.862261 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853264 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.844428 [12] validation_0-merror:0.4 validation_0-mlogloss:0.837767 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.828005 [14] validation_0-merror:0.4 validation_0-mlogloss:0.820717 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.816218 [16] validation_0-merror:0.4 validation_0-mlogloss:0.814265 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.81054 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.809855 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.807373 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.808567 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.808002 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.803028 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.802041 [24] validation_0-merror:0.35 validation_0-mlogloss:0.798923 [25] validation_0-merror:0.35 validation_0-mlogloss:0.796928 [26] validation_0-merror:0.35 validation_0-mlogloss:0.796042 [27] validation_0-merror:0.35 validation_0-mlogloss:0.79553 [28] validation_0-merror:0.35 validation_0-mlogloss:0.791591 [29] validation_0-merror:0.35 validation_0-mlogloss:0.789644 [30] validation_0-merror:0.35 validation_0-mlogloss:0.785564 [31] validation_0-merror:0.35 validation_0-mlogloss:0.784753 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.780545 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.776872 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.774237 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.77371 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.770288 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.769486 [38] validation_0-merror:0.35 validation_0-mlogloss:0.769385 [39] validation_0-merror:0.35 validation_0-mlogloss:0.770215 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.770707 [41] validation_0-merror:0.35 validation_0-mlogloss:0.769145 [42] validation_0-merror:0.35 validation_0-mlogloss:0.766655 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.763723 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.763072 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.760602 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.760225 [47] validation_0-merror:0.3 validation_0-mlogloss:0.758551 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.758749 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.75686 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.756383 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.758097 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.755764 [53] validation_0-merror:0.3 validation_0-mlogloss:0.756414 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.754407 [55] validation_0-merror:0.3 validation_0-mlogloss:0.753224 [56] validation_0-merror:0.3 validation_0-mlogloss:0.752755 [57] validation_0-merror:0.3 validation_0-mlogloss:0.750508 [58] validation_0-merror:0.3 validation_0-mlogloss:0.749403 [59] validation_0-merror:0.3 validation_0-mlogloss:0.747449 [60] validation_0-merror:0.3 validation_0-mlogloss:0.745304 [61] validation_0-merror:0.3 validation_0-mlogloss:0.746827 [62] validation_0-merror:0.3 validation_0-mlogloss:0.746588 [63] validation_0-merror:0.3 validation_0-mlogloss:0.744033 [64] validation_0-merror:0.3 validation_0-mlogloss:0.745439 [65] validation_0-merror:0.3 validation_0-mlogloss:0.744664 [66] validation_0-merror:0.3 validation_0-mlogloss:0.747237 [67] validation_0-merror:0.3 validation_0-mlogloss:0.748695 [68] validation_0-merror:0.3 validation_0-mlogloss:0.745817 Stopping. Best iteration: [63] validation_0-merror:0.3 validation_0-mlogloss:0.744033 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04766 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00744 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.973823 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.945062 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.919748 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.898083 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.882034 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.867262 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.857974 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845006 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.836445 [11] validation_0-merror:0.4 validation_0-mlogloss:0.832455 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.823303 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821263 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.812782 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809506 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.804508 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.800448 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.797728 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.791676 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.789429 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.789962 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.792995 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.791746 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.790371 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.791255 Stopping. Best iteration: [20] validation_0-merror:0.383333 validation_0-mlogloss:0.789429 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01442 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978862 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957423 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92727 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.9075 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.892514 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874139 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86303 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851154 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839131 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.835577 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.829146 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825634 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.822354 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.81498 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.81242 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.804452 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799847 [19] validation_0-merror:0.3 validation_0-mlogloss:0.799536 [20] validation_0-merror:0.3 validation_0-mlogloss:0.793128 [21] validation_0-merror:0.3 validation_0-mlogloss:0.787258 [22] validation_0-merror:0.3 validation_0-mlogloss:0.785416 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.782073 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.78133 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.779551 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.777442 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.775833 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.772468 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.770207 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.768022 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.76577 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.766458 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.766552 [34] validation_0-merror:0.3 validation_0-mlogloss:0.76639 [35] validation_0-merror:0.3 validation_0-mlogloss:0.767193 [36] validation_0-merror:0.3 validation_0-mlogloss:0.765035 [37] validation_0-merror:0.3 validation_0-mlogloss:0.763856 [38] validation_0-merror:0.3 validation_0-mlogloss:0.763162 [39] validation_0-merror:0.3 validation_0-mlogloss:0.76306 [40] validation_0-merror:0.3 validation_0-mlogloss:0.764015 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.76171 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.761024 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.760188 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.760916 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.760119 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.758398 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.759428 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.760828 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.761235 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.761425 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.762309 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.758398 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04941 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00654 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976123 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948274 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.922325 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900979 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878937 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862739 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840637 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.821384 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.808098 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.795654 [12] validation_0-merror:0.3 validation_0-mlogloss:0.786741 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.778554 [14] validation_0-merror:0.3 validation_0-mlogloss:0.768329 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.760727 [16] validation_0-merror:0.3 validation_0-mlogloss:0.754877 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75066 [18] validation_0-merror:0.3 validation_0-mlogloss:0.745078 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.736725 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.731864 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.731541 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.727526 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.717419 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.708552 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.701689 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.701509 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.695293 [28] validation_0-merror:0.25 validation_0-mlogloss:0.691465 [29] validation_0-merror:0.25 validation_0-mlogloss:0.692494 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.693393 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.70088 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.700632 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.700735 Stopping. Best iteration: [28] validation_0-merror:0.25 validation_0-mlogloss:0.691465 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06081 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01793 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980909 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95194 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928813 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91067 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.888473 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.876017 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.862119 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.857228 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.848987 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.84168 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.837868 [13] validation_0-merror:0.416667 validation_0-mlogloss:0.826165 [14] validation_0-merror:0.4 validation_0-mlogloss:0.814331 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802767 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797752 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.799806 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.794606 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.786045 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.787109 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.778472 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.780231 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.777464 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.778661 [25] validation_0-merror:0.35 validation_0-mlogloss:0.780667 [26] validation_0-merror:0.35 validation_0-mlogloss:0.779946 [27] validation_0-merror:0.35 validation_0-mlogloss:0.783829 [28] validation_0-merror:0.35 validation_0-mlogloss:0.785326 Stopping. Best iteration: [23] validation_0-merror:0.366667 validation_0-mlogloss:0.777464 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05396 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0169 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987334 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951521 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.91914 [5] validation_0-merror:0.35 validation_0-mlogloss:0.897612 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880003 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863367 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851683 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835763 [10] validation_0-merror:0.35 validation_0-mlogloss:0.835714 [11] validation_0-merror:0.35 validation_0-mlogloss:0.818173 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.800715 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797362 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781619 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.768661 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.75895 [17] validation_0-merror:0.3 validation_0-mlogloss:0.744806 [18] validation_0-merror:0.3 validation_0-mlogloss:0.747878 [19] validation_0-merror:0.3 validation_0-mlogloss:0.743924 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.740572 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743841 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741242 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740575 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.739992 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737477 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74437 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742448 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.743735 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.745412 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.74706 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.737477 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04663 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00766 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.967469 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940303 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.914875 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.890171 [6] validation_0-merror:0.35 validation_0-mlogloss:0.870213 [7] validation_0-merror:0.3 validation_0-mlogloss:0.850275 [8] validation_0-merror:0.3 validation_0-mlogloss:0.831692 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.818451 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808398 [11] validation_0-merror:0.3 validation_0-mlogloss:0.789398 [12] validation_0-merror:0.3 validation_0-mlogloss:0.779949 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.773146 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.763389 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.7569 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.751076 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.747434 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.73587 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.735014 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.722891 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.714943 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.710799 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.707202 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.700454 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.701448 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.700494 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.696592 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.698279 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698341 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695772 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.699755 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701577 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.702993 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702889 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.701076 Stopping. Best iteration: [30] validation_0-merror:0.283333 validation_0-mlogloss:0.695772 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0534 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01657 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979205 [3] validation_0-merror:0.4 validation_0-mlogloss:0.936541 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.908933 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.889273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.875044 [7] validation_0-merror:0.35 validation_0-mlogloss:0.858306 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840155 [9] validation_0-merror:0.35 validation_0-mlogloss:0.831431 [10] validation_0-merror:0.35 validation_0-mlogloss:0.821249 [11] validation_0-merror:0.35 validation_0-mlogloss:0.808501 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800847 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795136 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781938 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.776915 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771202 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768421 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.765775 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764958 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.764578 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.762453 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765464 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765589 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763242 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761462 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.761778 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758955 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.758641 [29] validation_0-merror:0.3 validation_0-mlogloss:0.76194 [30] validation_0-merror:0.3 validation_0-mlogloss:0.762565 [31] validation_0-merror:0.3 validation_0-mlogloss:0.763475 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.764028 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.767222 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.758641 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05535 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01326 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.986883 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952594 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930285 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.916691 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.894976 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.87788 [8] validation_0-merror:0.35 validation_0-mlogloss:0.869821 [9] validation_0-merror:0.35 validation_0-mlogloss:0.863473 [10] validation_0-merror:0.35 validation_0-mlogloss:0.857003 [11] validation_0-merror:0.35 validation_0-mlogloss:0.850777 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.843591 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.840594 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.839083 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.833529 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.828803 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.818956 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.819863 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.817441 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.812365 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.817912 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.81243 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.810523 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.813051 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.810603 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.812416 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.810319 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.810648 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.815183 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.820726 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.82001 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.82063 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.810319 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04464 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.99907 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.961784 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.933423 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.911164 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885808 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.865971 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.847671 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.827071 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.810963 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.7899 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.777711 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.761504 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.75127 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.744178 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.73711 [16] validation_0-merror:0.25 validation_0-mlogloss:0.730406 [17] validation_0-merror:0.25 validation_0-mlogloss:0.729016 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.725702 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.72289 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.719017 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.71543 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.706379 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.701524 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.697136 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.694862 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.691383 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.689144 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.688952 [29] validation_0-merror:0.25 validation_0-mlogloss:0.688179 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.686555 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.68861 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.685551 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.683762 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.685718 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.684239 [36] validation_0-merror:0.233333 validation_0-mlogloss:0.6852 [37] validation_0-merror:0.25 validation_0-mlogloss:0.686324 [38] validation_0-merror:0.25 validation_0-mlogloss:0.686171 Stopping. Best iteration: [33] validation_0-merror:0.233333 validation_0-mlogloss:0.683762 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04941 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00753 [2] validation_0-merror:0.35 validation_0-mlogloss:0.970148 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937534 [4] validation_0-merror:0.35 validation_0-mlogloss:0.908645 [5] validation_0-merror:0.3 validation_0-mlogloss:0.885352 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.868099 [7] validation_0-merror:0.3 validation_0-mlogloss:0.853501 [8] validation_0-merror:0.3 validation_0-mlogloss:0.843832 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834694 [10] validation_0-merror:0.3 validation_0-mlogloss:0.827537 [11] validation_0-merror:0.3 validation_0-mlogloss:0.819383 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817269 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80414 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80736 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80278 [16] validation_0-merror:0.35 validation_0-mlogloss:0.800708 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794053 [18] validation_0-merror:0.35 validation_0-mlogloss:0.794262 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.792751 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.798593 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.800712 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.794308 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.797363 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.792475 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.794082 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.797558 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.794262 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.798351 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.803719 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.792475 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05642 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01499 [2] validation_0-merror:0.4 validation_0-mlogloss:0.982193 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951308 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933612 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921025 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908794 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89559 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887889 [9] validation_0-merror:0.35 validation_0-mlogloss:0.882571 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.87222 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.863333 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.855828 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.853935 [14] validation_0-merror:0.4 validation_0-mlogloss:0.854294 [15] validation_0-merror:0.4 validation_0-mlogloss:0.853695 [16] validation_0-merror:0.4 validation_0-mlogloss:0.85543 [17] validation_0-merror:0.4 validation_0-mlogloss:0.857922 [18] validation_0-merror:0.4 validation_0-mlogloss:0.864517 [19] validation_0-merror:0.4 validation_0-mlogloss:0.866662 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.869227 Stopping. Best iteration: [15] validation_0-merror:0.4 validation_0-mlogloss:0.853695 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04815 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00447 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975669 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949169 [4] validation_0-merror:0.3 validation_0-mlogloss:0.921591 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899988 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.876805 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.863851 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846145 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.827272 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.817594 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810876 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.806507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801156 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796757 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789211 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784442 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777018 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772036 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.76554 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758397 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75212 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.748495 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.739245 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.732073 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.725307 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724759 [27] validation_0-merror:0.3 validation_0-mlogloss:0.718233 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.713051 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713794 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710811 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.711294 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.712831 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.709794 [34] validation_0-merror:0.3 validation_0-mlogloss:0.708084 [35] validation_0-merror:0.3 validation_0-mlogloss:0.710972 [36] validation_0-merror:0.3 validation_0-mlogloss:0.712533 [37] validation_0-merror:0.3 validation_0-mlogloss:0.716892 [38] validation_0-merror:0.3 validation_0-mlogloss:0.713931 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.71352 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.708084 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06107 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02337 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987742 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95521 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930333 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910767 [6] validation_0-merror:0.4 validation_0-mlogloss:0.893494 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.874224 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855007 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.847322 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.839191 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.827234 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.8265 [13] validation_0-merror:0.35 validation_0-mlogloss:0.817762 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809534 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.799869 [16] validation_0-merror:0.35 validation_0-mlogloss:0.791398 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793068 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.792027 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.78819 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785625 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.780931 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.782413 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.780746 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.777151 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.774485 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.770468 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.773972 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.764572 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.766627 [30] validation_0-merror:0.35 validation_0-mlogloss:0.765756 [31] validation_0-merror:0.35 validation_0-mlogloss:0.769245 [32] validation_0-merror:0.35 validation_0-mlogloss:0.771297 [33] validation_0-merror:0.35 validation_0-mlogloss:0.770579 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.764572 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0526 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01469 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981886 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94907 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920707 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901136 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883364 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869069 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857352 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840359 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837743 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822676 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807044 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801288 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786861 [15] validation_0-merror:0.3 validation_0-mlogloss:0.774736 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763868 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.749798 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.75143 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749231 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746248 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739133 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738548 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735781 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738091 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738294 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73476 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734395 [28] validation_0-merror:0.3 validation_0-mlogloss:0.73743 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737877 [30] validation_0-merror:0.3 validation_0-mlogloss:0.735043 [31] validation_0-merror:0.3 validation_0-mlogloss:0.735366 [32] validation_0-merror:0.3 validation_0-mlogloss:0.735382 Stopping. Best iteration: [27] validation_0-merror:0.3 validation_0-mlogloss:0.734395 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01098 [2] validation_0-merror:0.35 validation_0-mlogloss:0.974529 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.945707 [4] validation_0-merror:0.35 validation_0-mlogloss:0.924645 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898086 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.878847 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.858479 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.839445 [9] validation_0-merror:0.3 validation_0-mlogloss:0.825008 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811003 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.794479 [12] validation_0-merror:0.3 validation_0-mlogloss:0.781682 [13] validation_0-merror:0.3 validation_0-mlogloss:0.775119 [14] validation_0-merror:0.3 validation_0-mlogloss:0.769956 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.764953 [16] validation_0-merror:0.3 validation_0-mlogloss:0.75748 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75304 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.741747 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.733721 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.724241 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.721003 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.716841 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.715147 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.70417 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.697667 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.695995 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.692357 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.690404 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691217 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.687483 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689704 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.691444 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.693237 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.696976 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.693317 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.687483 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04856 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01217 [2] validation_0-merror:0.4 validation_0-mlogloss:0.973469 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.931133 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.903663 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.892023 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.869799 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856545 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.839485 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.826159 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811808 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804124 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.796723 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.792544 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783343 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778025 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771968 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769333 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.763639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759397 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757656 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753208 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.756348 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.755672 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751003 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748917 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.745357 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742956 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744321 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748112 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.751492 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.753641 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.755228 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742956 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05505 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0134 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983084 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9445 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92178 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905355 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884356 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864363 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851339 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844965 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837047 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833745 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823935 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818066 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805583 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.795192 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.786174 [17] validation_0-merror:0.3 validation_0-mlogloss:0.777956 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.776078 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770326 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.762572 [21] validation_0-merror:0.3 validation_0-mlogloss:0.758103 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753192 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.751617 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750491 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.751474 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753152 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.749826 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748691 [29] validation_0-merror:0.35 validation_0-mlogloss:0.752928 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755964 [31] validation_0-merror:0.35 validation_0-mlogloss:0.754787 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.754134 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.755533 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.748691 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00447 [2] validation_0-merror:0.3 validation_0-mlogloss:0.97009 [3] validation_0-merror:0.3 validation_0-mlogloss:0.937848 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.913795 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.890188 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.871141 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.85707 [8] validation_0-merror:0.3 validation_0-mlogloss:0.840644 [9] validation_0-merror:0.3 validation_0-mlogloss:0.827054 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82114 [11] validation_0-merror:0.3 validation_0-mlogloss:0.812468 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803662 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798699 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791328 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785285 [16] validation_0-merror:0.3 validation_0-mlogloss:0.777449 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772727 [18] validation_0-merror:0.3 validation_0-mlogloss:0.767143 [19] validation_0-merror:0.3 validation_0-mlogloss:0.761696 [20] validation_0-merror:0.3 validation_0-mlogloss:0.757276 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755456 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752454 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.748423 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.744122 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.740493 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737569 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.737091 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.734518 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.732005 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.733485 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.73275 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.733731 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.731922 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.73154 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.734227 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.732948 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.734045 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.736374 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.734012 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.73154 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04771 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00685 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.970717 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.939435 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.913167 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.889753 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.871972 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.855063 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.837149 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.825192 [10] validation_0-merror:0.4 validation_0-mlogloss:0.812984 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.804298 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.794651 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789541 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78994 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781843 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.783503 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.773713 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774084 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.771055 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.76671 [21] validation_0-merror:0.35 validation_0-mlogloss:0.764212 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763321 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762563 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765633 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766131 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.761969 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.766368 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.764439 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.761587 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.764067 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.767293 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.771333 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.773885 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.774712 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.761587 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.0486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00774 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975044 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939643 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.91107 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886989 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.874807 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.860521 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851603 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845539 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839631 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.830635 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82344 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.819435 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812396 [15] validation_0-merror:0.3 validation_0-mlogloss:0.804815 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805593 [17] validation_0-merror:0.35 validation_0-mlogloss:0.805458 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.805754 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.808778 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.809519 Stopping. Best iteration: [15] validation_0-merror:0.3 validation_0-mlogloss:0.804815 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977265 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947368 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925023 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903254 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883085 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863573 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8486 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83268 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821813 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810991 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802726 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793025 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786743 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780464 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769346 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767651 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759383 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75382 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744947 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740423 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738707 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.731103 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72275 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.717739 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.720355 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.716497 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710915 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.711201 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.713764 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715344 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715653 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713108 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.710915 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02334 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987475 [3] validation_0-merror:0.4 validation_0-mlogloss:0.95501 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929276 [5] validation_0-merror:0.4 validation_0-mlogloss:0.908925 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888429 [7] validation_0-merror:0.4 validation_0-mlogloss:0.874507 [8] validation_0-merror:0.4 validation_0-mlogloss:0.856387 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849266 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840757 [11] validation_0-merror:0.4 validation_0-mlogloss:0.827641 [12] validation_0-merror:0.4 validation_0-mlogloss:0.824723 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.816471 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.809336 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.79884 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795126 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.795035 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790015 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.784274 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783103 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.773864 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77383 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.769237 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766459 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.764477 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759265 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.755761 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.746205 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745576 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.75298 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.755781 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.755798 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.755726 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.76193 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.745576 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993163 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95997 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938762 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915746 [6] validation_0-merror:0.25 validation_0-mlogloss:0.894567 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.880455 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.865465 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.854482 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.848954 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.83525 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821443 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.815335 [14] validation_0-merror:0.3 validation_0-mlogloss:0.801283 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785189 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.776186 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.769023 [18] validation_0-merror:0.3 validation_0-mlogloss:0.767062 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760985 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763936 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764813 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764593 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.761333 [24] validation_0-merror:0.3 validation_0-mlogloss:0.762918 Stopping. Best iteration: [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760985 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04962 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00896 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978064 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948923 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925776 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907375 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888654 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868434 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851202 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.83331 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823399 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806614 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.796491 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789237 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782162 [15] validation_0-merror:0.3 validation_0-mlogloss:0.772236 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765837 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.762403 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.755597 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.750639 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.742823 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.734695 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731929 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.730573 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724785 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.720042 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.717011 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.712787 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71084 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713556 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.71215 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714567 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.713451 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715037 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71084 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.970751 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.934102 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914714 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901882 [6] validation_0-merror:0.4 validation_0-mlogloss:0.879351 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861255 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.845025 [9] validation_0-merror:0.4 validation_0-mlogloss:0.832816 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.820272 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.811488 [12] validation_0-merror:0.4 validation_0-mlogloss:0.805742 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.798493 [14] validation_0-merror:0.4 validation_0-mlogloss:0.78609 [15] validation_0-merror:0.4 validation_0-mlogloss:0.781881 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777619 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.770692 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764305 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.76038 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.760001 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757922 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763385 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761322 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763424 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76492 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764851 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757922 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05133 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01452 [2] validation_0-merror:0.3 validation_0-mlogloss:0.981403 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947747 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.926934 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909607 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885187 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868356 [8] validation_0-merror:0.3 validation_0-mlogloss:0.853522 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847506 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838643 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.833196 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824079 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.823146 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.809921 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.79951 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788785 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.781005 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.777618 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.76848 [20] validation_0-merror:0.25 validation_0-mlogloss:0.761826 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.76234 [22] validation_0-merror:0.25 validation_0-mlogloss:0.757191 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.755154 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.758426 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.759558 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7606 [27] validation_0-merror:0.3 validation_0-mlogloss:0.760078 [28] validation_0-merror:0.3 validation_0-mlogloss:0.760998 Stopping. Best iteration: [23] validation_0-merror:0.283333 validation_0-mlogloss:0.755154 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04638 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00314 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.966271 [3] validation_0-merror:0.3 validation_0-mlogloss:0.936127 [4] validation_0-merror:0.3 validation_0-mlogloss:0.910665 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.889254 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.871603 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.855395 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.840378 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831395 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821978 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815775 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.8083 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801125 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794388 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786558 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77915 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772148 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766102 [19] validation_0-merror:0.3 validation_0-mlogloss:0.758427 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.757093 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75358 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.748707 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748303 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.744572 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74656 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.743081 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.739323 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.735082 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.731416 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.730352 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.728488 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.729139 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.727732 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.72729 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.727493 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.729119 [37] validation_0-merror:0.25 validation_0-mlogloss:0.731151 [38] validation_0-merror:0.25 validation_0-mlogloss:0.729022 [39] validation_0-merror:0.25 validation_0-mlogloss:0.729696 Stopping. Best iteration: [34] validation_0-merror:0.266667 validation_0-mlogloss:0.72729 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04997 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.968786 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.937409 [4] validation_0-merror:0.35 validation_0-mlogloss:0.914873 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.893753 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.877413 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.858413 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.843345 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.833019 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822655 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810499 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.799992 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.795812 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.788519 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.784957 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.781008 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.775699 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.77335 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.76899 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.766753 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762411 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759208 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.758711 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758846 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757501 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756939 [27] validation_0-merror:0.35 validation_0-mlogloss:0.758861 [28] validation_0-merror:0.35 validation_0-mlogloss:0.75557 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.758157 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.761546 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.759328 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.763207 [33] validation_0-merror:0.35 validation_0-mlogloss:0.769012 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.75557 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00733 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97682 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946867 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925056 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.902734 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880839 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866234 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8539 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836586 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82562 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817903 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810086 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80666 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801537 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.801119 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79949 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.798191 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.794497 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.794224 [20] validation_0-merror:0.3 validation_0-mlogloss:0.792419 [21] validation_0-merror:0.3 validation_0-mlogloss:0.792799 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.791851 [23] validation_0-merror:0.3 validation_0-mlogloss:0.792696 [24] validation_0-merror:0.3 validation_0-mlogloss:0.794719 [25] validation_0-merror:0.3 validation_0-mlogloss:0.798243 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.800526 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.799474 Stopping. Best iteration: [22] validation_0-merror:0.266667 validation_0-mlogloss:0.791851 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01128 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977604 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9485 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925836 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906768 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886944 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870194 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858465 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840626 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829532 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820542 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811934 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.804529 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798608 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788254 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774258 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770191 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763697 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759691 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748325 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745225 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740427 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729473 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723605 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.718958 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.720797 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71014 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709606 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711068 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711912 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712705 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713269 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.714376 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.709606 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02397 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990165 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957659 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935527 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914938 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895793 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.881069 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.861617 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852349 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.843457 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.830157 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827957 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819529 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811319 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800597 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791758 [17] validation_0-merror:0.4 validation_0-mlogloss:0.788869 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78827 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775631 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772621 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769685 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768984 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766237 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763726 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765302 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757323 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756486 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754894 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75288 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.754703 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.756912 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.757142 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754807 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.756038 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75288 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965122 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943406 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923978 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.907268 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.8933 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.878469 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866136 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85858 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.847849 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831958 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.824524 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816973 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.808002 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.800303 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793843 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792627 [19] validation_0-merror:0.35 validation_0-mlogloss:0.789773 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785218 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.779488 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.778676 [23] validation_0-merror:0.35 validation_0-mlogloss:0.77176 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.769669 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.767736 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759811 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758041 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752846 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751741 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747836 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746026 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.745697 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746159 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.745101 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.744206 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.744358 [37] validation_0-merror:0.3 validation_0-mlogloss:0.742184 [38] validation_0-merror:0.3 validation_0-mlogloss:0.740637 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.736534 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.733254 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.729686 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.733977 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.731734 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.729744 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725478 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.728687 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.730193 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.729499 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.728702 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.73299 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725478 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01125 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978103 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950782 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.932206 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911535 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.889291 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868539 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849068 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.831897 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820664 [11] validation_0-merror:0.3 validation_0-mlogloss:0.806338 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794088 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785056 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.781727 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.772539 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.763801 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761972 [18] validation_0-merror:0.3 validation_0-mlogloss:0.754537 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751356 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.741381 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.737617 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.731303 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.722975 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.719504 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719486 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.719199 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.71562 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714171 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.717951 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716766 [31] validation_0-merror:0.3 validation_0-mlogloss:0.717085 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717096 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715199 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714171 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04993 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01428 [2] validation_0-merror:0.35 validation_0-mlogloss:0.978936 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944791 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918892 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.899315 [6] validation_0-merror:0.4 validation_0-mlogloss:0.883136 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.873498 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862709 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849627 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.833434 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824339 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.817479 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.808442 [14] validation_0-merror:0.4 validation_0-mlogloss:0.793481 [15] validation_0-merror:0.4 validation_0-mlogloss:0.78723 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.780567 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776343 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.772147 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766445 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768324 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764395 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77113 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765948 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765458 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76951 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769345 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764395 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01496 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985826 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.955262 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938176 [5] validation_0-merror:0.35 validation_0-mlogloss:0.923514 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902586 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.88631 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879736 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.873813 [10] validation_0-merror:0.35 validation_0-mlogloss:0.869734 [11] validation_0-merror:0.3 validation_0-mlogloss:0.862782 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.854826 [13] validation_0-merror:0.3 validation_0-mlogloss:0.850703 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.834383 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.824366 [16] validation_0-merror:0.3 validation_0-mlogloss:0.812248 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.801041 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.798733 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787247 [20] validation_0-merror:0.3 validation_0-mlogloss:0.783217 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.780847 [22] validation_0-merror:0.3 validation_0-mlogloss:0.773755 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.774675 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773903 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.77251 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.768239 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.766787 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.771257 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.772044 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.77338 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773009 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770328 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.766787 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05019 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01179 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979956 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953066 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930485 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909368 [6] validation_0-merror:0.35 validation_0-mlogloss:0.893746 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.880059 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.867734 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85418 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844855 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.834026 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.827619 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820859 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814191 [15] validation_0-merror:0.35 validation_0-mlogloss:0.809335 [16] validation_0-merror:0.35 validation_0-mlogloss:0.804471 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795098 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.790957 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.788834 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.781512 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778021 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774038 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.771446 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.768592 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.764692 [26] validation_0-merror:0.3 validation_0-mlogloss:0.759714 [27] validation_0-merror:0.3 validation_0-mlogloss:0.761622 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.756991 [29] validation_0-merror:0.3 validation_0-mlogloss:0.752372 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.751872 [31] validation_0-merror:0.3 validation_0-mlogloss:0.749802 [32] validation_0-merror:0.3 validation_0-mlogloss:0.751021 [33] validation_0-merror:0.3 validation_0-mlogloss:0.750254 [34] validation_0-merror:0.3 validation_0-mlogloss:0.751742 [35] validation_0-merror:0.3 validation_0-mlogloss:0.753074 [36] validation_0-merror:0.3 validation_0-mlogloss:0.749095 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748595 [38] validation_0-merror:0.3 validation_0-mlogloss:0.749094 [39] validation_0-merror:0.3 validation_0-mlogloss:0.750275 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.74868 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.748878 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.749157 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.748595 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92257 [5] validation_0-merror:0.4 validation_0-mlogloss:0.904573 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.887287 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865489 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852861 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840409 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.829457 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826393 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.825462 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817622 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813285 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806597 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.803111 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802963 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.802204 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.799216 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.79378 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.793972 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.790998 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.786918 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.788264 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.787335 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.786812 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.790787 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.793412 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.790692 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.790639 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.793242 Stopping. Best iteration: [26] validation_0-merror:0.366667 validation_0-mlogloss:0.786812 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97523 [3] validation_0-merror:0.35 validation_0-mlogloss:0.952319 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932426 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914494 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899309 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881936 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862699 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855558 [10] validation_0-merror:0.3 validation_0-mlogloss:0.843985 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83645 [12] validation_0-merror:0.3 validation_0-mlogloss:0.830839 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.826642 [14] validation_0-merror:0.3 validation_0-mlogloss:0.823873 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824279 [16] validation_0-merror:0.3 validation_0-mlogloss:0.825508 [17] validation_0-merror:0.3 validation_0-mlogloss:0.826783 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.822468 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.819178 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.814381 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.808743 [22] validation_0-merror:0.3 validation_0-mlogloss:0.806975 [23] validation_0-merror:0.3 validation_0-mlogloss:0.804046 [24] validation_0-merror:0.3 validation_0-mlogloss:0.799547 [25] validation_0-merror:0.3 validation_0-mlogloss:0.798351 [26] validation_0-merror:0.3 validation_0-mlogloss:0.798601 [27] validation_0-merror:0.3 validation_0-mlogloss:0.798092 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.795729 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.794933 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.789277 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.786358 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.786788 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.781001 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.782086 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.780249 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.778761 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.780327 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.78104 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.781081 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.784633 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.786046 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.778761 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.949569 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925552 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904728 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886078 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869843 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855596 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838004 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824699 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816776 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808067 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796695 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792649 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785428 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774589 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768608 [18] validation_0-merror:0.3 validation_0-mlogloss:0.762489 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755997 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749247 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74476 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.74125 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734487 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.726519 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.722662 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.721841 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.715758 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.715871 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.715679 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.715805 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715289 [32] validation_0-merror:0.3 validation_0-mlogloss:0.716353 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716554 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.716432 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.718974 [36] validation_0-merror:0.3 validation_0-mlogloss:0.722485 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.715289 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99409 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937679 [5] validation_0-merror:0.4 validation_0-mlogloss:0.918266 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.897741 [7] validation_0-merror:0.4 validation_0-mlogloss:0.882775 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862714 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853652 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.843332 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829586 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.826982 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817351 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80919 [15] validation_0-merror:0.4 validation_0-mlogloss:0.803198 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791609 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786143 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782893 [19] validation_0-merror:0.4 validation_0-mlogloss:0.776951 [20] validation_0-merror:0.4 validation_0-mlogloss:0.771259 [21] validation_0-merror:0.4 validation_0-mlogloss:0.76514 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76362 [23] validation_0-merror:0.4 validation_0-mlogloss:0.761288 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758845 [25] validation_0-merror:0.4 validation_0-mlogloss:0.765229 [26] validation_0-merror:0.4 validation_0-mlogloss:0.758065 [27] validation_0-merror:0.4 validation_0-mlogloss:0.755014 [28] validation_0-merror:0.4 validation_0-mlogloss:0.752949 [29] validation_0-merror:0.4 validation_0-mlogloss:0.749427 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749907 [31] validation_0-merror:0.4 validation_0-mlogloss:0.751674 [32] validation_0-merror:0.4 validation_0-mlogloss:0.752227 [33] validation_0-merror:0.4 validation_0-mlogloss:0.750442 [34] validation_0-merror:0.4 validation_0-mlogloss:0.75141 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.749427 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945806 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.925477 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907965 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893162 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876975 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860572 [10] validation_0-merror:0.35 validation_0-mlogloss:0.853839 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842304 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827156 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820674 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.808483 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800225 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793108 [17] validation_0-merror:0.35 validation_0-mlogloss:0.785 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785334 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77771 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775633 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76976 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764665 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758021 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.753417 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751182 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745272 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.741835 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738461 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735847 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730537 [31] validation_0-merror:0.3 validation_0-mlogloss:0.728361 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727703 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.730854 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728487 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729015 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729509 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.72534 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728844 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724757 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.723177 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.719709 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.721388 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.720508 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.720288 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.717882 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.719833 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.722651 [48] validation_0-merror:0.35 validation_0-mlogloss:0.717856 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.717052 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.719054 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.720069 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.723734 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.720108 [54] validation_0-merror:0.35 validation_0-mlogloss:0.720597 Stopping. Best iteration: [49] validation_0-merror:0.333333 validation_0-mlogloss:0.717052 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01274 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97855 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949965 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927856 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906468 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880897 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862133 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.843573 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828472 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816262 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802375 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786976 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.779374 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.772642 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.762444 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.754707 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754162 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.746889 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744171 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73792 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733126 [22] validation_0-merror:0.3 validation_0-mlogloss:0.728895 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722342 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718811 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719176 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716681 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712493 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709215 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711482 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709336 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.706806 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705943 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705463 [34] validation_0-merror:0.3 validation_0-mlogloss:0.705667 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703944 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704982 [37] validation_0-merror:0.3 validation_0-mlogloss:0.705857 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704427 [39] validation_0-merror:0.3 validation_0-mlogloss:0.704075 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703845 [41] validation_0-merror:0.3 validation_0-mlogloss:0.704156 [42] validation_0-merror:0.3 validation_0-mlogloss:0.70167 [43] validation_0-merror:0.3 validation_0-mlogloss:0.701136 [44] validation_0-merror:0.3 validation_0-mlogloss:0.701791 [45] validation_0-merror:0.3 validation_0-mlogloss:0.699965 [46] validation_0-merror:0.3 validation_0-mlogloss:0.699133 [47] validation_0-merror:0.3 validation_0-mlogloss:0.699371 [48] validation_0-merror:0.3 validation_0-mlogloss:0.699181 [49] validation_0-merror:0.3 validation_0-mlogloss:0.697457 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.697198 [51] validation_0-merror:0.3 validation_0-mlogloss:0.700351 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.698455 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.695873 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.696067 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.693397 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.69569 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.693635 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.687575 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.683724 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.68503 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.685972 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.689445 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.690315 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.688428 Stopping. Best iteration: [59] validation_0-merror:0.266667 validation_0-mlogloss:0.683724 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984362 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953942 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93091 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914885 [6] validation_0-merror:0.4 validation_0-mlogloss:0.894425 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.883361 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871046 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854884 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.841919 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.834557 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825513 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816197 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.808911 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805533 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800289 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794566 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788821 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781819 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783225 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776861 [22] validation_0-merror:0.4 validation_0-mlogloss:0.779453 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775532 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777688 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.779446 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.772004 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768464 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.769183 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.772203 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.77156 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.770504 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.770203 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768464 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994172 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962305 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940536 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922579 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902344 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.885278 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8746 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867553 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853314 [11] validation_0-merror:0.3 validation_0-mlogloss:0.844056 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.836356 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831311 [14] validation_0-merror:0.3 validation_0-mlogloss:0.822868 [15] validation_0-merror:0.3 validation_0-mlogloss:0.818012 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.815214 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.812336 [18] validation_0-merror:0.3 validation_0-mlogloss:0.807334 [19] validation_0-merror:0.3 validation_0-mlogloss:0.793362 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788741 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.789963 [22] validation_0-merror:0.3 validation_0-mlogloss:0.785994 [23] validation_0-merror:0.3 validation_0-mlogloss:0.782616 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781805 [25] validation_0-merror:0.3 validation_0-mlogloss:0.784699 [26] validation_0-merror:0.3 validation_0-mlogloss:0.778094 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.775595 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7775 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.774998 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.773731 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770671 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770251 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767565 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766737 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771212 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.772435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.769331 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.765536 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.766474 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.764284 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.764222 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.762523 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.762507 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.762782 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.763632 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.764039 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761981 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.763775 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.764026 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.764862 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.766295 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.77065 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761981 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01173 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.980161 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95393 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932425 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.914324 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896783 [7] validation_0-merror:0.35 validation_0-mlogloss:0.884307 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.870889 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.859649 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.850498 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840607 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831834 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82227 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815086 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.808261 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803402 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795899 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792148 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790713 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788895 [21] validation_0-merror:0.35 validation_0-mlogloss:0.786305 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78412 [23] validation_0-merror:0.35 validation_0-mlogloss:0.780201 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.773413 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.771527 [26] validation_0-merror:0.35 validation_0-mlogloss:0.768739 [27] validation_0-merror:0.35 validation_0-mlogloss:0.765227 [28] validation_0-merror:0.35 validation_0-mlogloss:0.764596 [29] validation_0-merror:0.35 validation_0-mlogloss:0.763349 [30] validation_0-merror:0.35 validation_0-mlogloss:0.760054 [31] validation_0-merror:0.35 validation_0-mlogloss:0.756901 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.752982 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.75269 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.751925 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.751314 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74921 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.750692 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.751342 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.752147 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.75298 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.75357 Stopping. Best iteration: [36] validation_0-merror:0.316667 validation_0-mlogloss:0.74921 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.048 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00837 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975164 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.943924 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.918716 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.896896 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.878225 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861058 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.846663 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835445 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824018 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816731 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806246 [13] validation_0-merror:0.35 validation_0-mlogloss:0.799639 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.798338 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.793429 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.787484 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.780964 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780626 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77749 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77537 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773667 [22] validation_0-merror:0.35 validation_0-mlogloss:0.768031 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.763621 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.762754 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761372 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.756343 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755953 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.757101 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.75714 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.760491 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.763014 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.764114 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755953 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908872 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891063 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.876383 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865758 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855592 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84362 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834679 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830254 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822839 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81761 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816279 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808686 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.807071 [18] validation_0-merror:0.35 validation_0-mlogloss:0.803117 [19] validation_0-merror:0.35 validation_0-mlogloss:0.800363 [20] validation_0-merror:0.35 validation_0-mlogloss:0.798515 [21] validation_0-merror:0.35 validation_0-mlogloss:0.794836 [22] validation_0-merror:0.35 validation_0-mlogloss:0.794087 [23] validation_0-merror:0.35 validation_0-mlogloss:0.791751 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.789853 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785468 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.785953 [27] validation_0-merror:0.35 validation_0-mlogloss:0.779968 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.776841 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.776672 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.77282 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.771415 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770703 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.766482 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766074 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.764107 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.763022 [37] validation_0-merror:0.3 validation_0-mlogloss:0.760107 [38] validation_0-merror:0.3 validation_0-mlogloss:0.758933 [39] validation_0-merror:0.3 validation_0-mlogloss:0.75768 [40] validation_0-merror:0.3 validation_0-mlogloss:0.757632 [41] validation_0-merror:0.3 validation_0-mlogloss:0.758044 [42] validation_0-merror:0.3 validation_0-mlogloss:0.760085 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.758641 [44] validation_0-merror:0.3 validation_0-mlogloss:0.75776 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.757285 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.758666 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.759583 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.761151 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.762607 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.764806 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.757285 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05122 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0072 [2] validation_0-merror:0.35 validation_0-mlogloss:0.976807 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949121 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.922666 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901459 [6] validation_0-merror:0.35 validation_0-mlogloss:0.879104 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862727 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.839579 [9] validation_0-merror:0.35 validation_0-mlogloss:0.825382 [10] validation_0-merror:0.35 validation_0-mlogloss:0.812229 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.800112 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.791238 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785773 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776427 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769473 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.76279 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.757453 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750748 [19] validation_0-merror:0.3 validation_0-mlogloss:0.74293 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737974 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.737311 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73233 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72522 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715958 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.709563 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708884 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.701222 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.699324 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701619 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703752 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705951 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.706688 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.704338 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.699324 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06097 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.021 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983897 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.954451 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.93104 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909951 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.884949 [7] validation_0-merror:0.4 validation_0-mlogloss:0.871182 [8] validation_0-merror:0.4 validation_0-mlogloss:0.85617 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.850961 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842633 [11] validation_0-merror:0.4 validation_0-mlogloss:0.835359 [12] validation_0-merror:0.433333 validation_0-mlogloss:0.8347 [13] validation_0-merror:0.433333 validation_0-mlogloss:0.828958 [14] validation_0-merror:0.433333 validation_0-mlogloss:0.820151 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.807271 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.801369 [17] validation_0-merror:0.416667 validation_0-mlogloss:0.804476 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.798751 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.790381 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.790977 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783598 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.78389 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.781207 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.781321 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.781163 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.780134 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.779368 [28] validation_0-merror:0.35 validation_0-mlogloss:0.773871 [29] validation_0-merror:0.35 validation_0-mlogloss:0.772307 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.773794 [31] validation_0-merror:0.35 validation_0-mlogloss:0.772371 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774363 [33] validation_0-merror:0.35 validation_0-mlogloss:0.772126 [34] validation_0-merror:0.35 validation_0-mlogloss:0.778993 [35] validation_0-merror:0.35 validation_0-mlogloss:0.782367 [36] validation_0-merror:0.35 validation_0-mlogloss:0.783212 [37] validation_0-merror:0.35 validation_0-mlogloss:0.790286 [38] validation_0-merror:0.35 validation_0-mlogloss:0.794967 Stopping. Best iteration: [33] validation_0-merror:0.35 validation_0-mlogloss:0.772126 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05396 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0169 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987334 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951521 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.91914 [5] validation_0-merror:0.35 validation_0-mlogloss:0.897612 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880003 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863367 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851683 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835763 [10] validation_0-merror:0.35 validation_0-mlogloss:0.835714 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820263 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802717 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799427 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.78378 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770822 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.761075 [17] validation_0-merror:0.3 validation_0-mlogloss:0.749029 [18] validation_0-merror:0.3 validation_0-mlogloss:0.751637 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.747111 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.743342 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741307 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738457 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738003 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73703 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.748616 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.746106 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747733 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.747479 Stopping. Best iteration: [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73703 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04622 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00392 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.965137 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937389 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913871 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.889144 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.871415 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.848728 [8] validation_0-merror:0.3 validation_0-mlogloss:0.828121 [9] validation_0-merror:0.3 validation_0-mlogloss:0.812958 [10] validation_0-merror:0.3 validation_0-mlogloss:0.802589 [11] validation_0-merror:0.3 validation_0-mlogloss:0.78717 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.781 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.775353 [14] validation_0-merror:0.3 validation_0-mlogloss:0.766584 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.760182 [16] validation_0-merror:0.25 validation_0-mlogloss:0.755458 [17] validation_0-merror:0.25 validation_0-mlogloss:0.751706 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.741354 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.739359 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.730059 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.72372 [22] validation_0-merror:0.25 validation_0-mlogloss:0.720858 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717409 [24] validation_0-merror:0.25 validation_0-mlogloss:0.712694 [25] validation_0-merror:0.25 validation_0-mlogloss:0.707482 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.705971 [27] validation_0-merror:0.25 validation_0-mlogloss:0.702748 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.704189 [29] validation_0-merror:0.25 validation_0-mlogloss:0.703639 [30] validation_0-merror:0.25 validation_0-mlogloss:0.701273 [31] validation_0-merror:0.25 validation_0-mlogloss:0.705363 [32] validation_0-merror:0.25 validation_0-mlogloss:0.70598 [33] validation_0-merror:0.25 validation_0-mlogloss:0.70718 [34] validation_0-merror:0.233333 validation_0-mlogloss:0.705692 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.703432 Stopping. Best iteration: [30] validation_0-merror:0.25 validation_0-mlogloss:0.701273 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01598 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979317 [3] validation_0-merror:0.35 validation_0-mlogloss:0.93646 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.912913 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.894587 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88052 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.863493 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845904 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.838943 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82941 [11] validation_0-merror:0.35 validation_0-mlogloss:0.818327 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.812775 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808647 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796476 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791132 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784703 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.78195 [18] validation_0-merror:0.3 validation_0-mlogloss:0.778936 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778152 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779611 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.777372 [22] validation_0-merror:0.3 validation_0-mlogloss:0.77894 [23] validation_0-merror:0.3 validation_0-mlogloss:0.779582 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.777386 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.776222 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.776313 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.774347 [28] validation_0-merror:0.3 validation_0-mlogloss:0.774843 [29] validation_0-merror:0.3 validation_0-mlogloss:0.777207 [30] validation_0-merror:0.3 validation_0-mlogloss:0.782568 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.78061 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.783922 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.774347 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05535 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01326 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985228 [3] validation_0-merror:0.35 validation_0-mlogloss:0.952069 [4] validation_0-merror:0.3 validation_0-mlogloss:0.928962 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915021 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891825 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874093 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.865737 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.854538 [10] validation_0-merror:0.35 validation_0-mlogloss:0.846623 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.843026 [12] validation_0-merror:0.35 validation_0-mlogloss:0.837177 [13] validation_0-merror:0.35 validation_0-mlogloss:0.832886 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.830753 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829126 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.824827 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.814599 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.814952 [19] validation_0-merror:0.35 validation_0-mlogloss:0.808945 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.809497 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.815181 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.81574 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.816024 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.820314 Stopping. Best iteration: [19] validation_0-merror:0.35 validation_0-mlogloss:0.808945 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04642 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.00175 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.968723 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.938502 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.915923 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.893028 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.872406 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.851166 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834679 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.820188 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.801796 [11] validation_0-merror:0.25 validation_0-mlogloss:0.785738 [12] validation_0-merror:0.233333 validation_0-mlogloss:0.775375 [13] validation_0-merror:0.233333 validation_0-mlogloss:0.764934 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.75691 [15] validation_0-merror:0.233333 validation_0-mlogloss:0.752908 [16] validation_0-merror:0.233333 validation_0-mlogloss:0.748475 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.745846 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.742913 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.740031 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.738854 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.734203 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.733564 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.732495 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.731588 [25] validation_0-merror:0.25 validation_0-mlogloss:0.728646 [26] validation_0-merror:0.25 validation_0-mlogloss:0.731974 [27] validation_0-merror:0.25 validation_0-mlogloss:0.730132 [28] validation_0-merror:0.25 validation_0-mlogloss:0.730867 [29] validation_0-merror:0.25 validation_0-mlogloss:0.727697 [30] validation_0-merror:0.25 validation_0-mlogloss:0.73161 [31] validation_0-merror:0.233333 validation_0-mlogloss:0.731517 [32] validation_0-merror:0.233333 validation_0-mlogloss:0.731735 [33] validation_0-merror:0.233333 validation_0-mlogloss:0.728565 [34] validation_0-merror:0.216667 validation_0-mlogloss:0.728287 Stopping. Best iteration: [29] validation_0-merror:0.25 validation_0-mlogloss:0.727697 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05086 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00823 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.970795 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.938292 [4] validation_0-merror:0.35 validation_0-mlogloss:0.912751 [5] validation_0-merror:0.35 validation_0-mlogloss:0.888693 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.866712 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.85267 [8] validation_0-merror:0.3 validation_0-mlogloss:0.843154 [9] validation_0-merror:0.3 validation_0-mlogloss:0.834783 [10] validation_0-merror:0.3 validation_0-mlogloss:0.827191 [11] validation_0-merror:0.3 validation_0-mlogloss:0.821874 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817576 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816078 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810703 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.806295 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803107 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799004 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.806432 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.80414 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.807776 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.809592 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.812382 Stopping. Best iteration: [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799004 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05683 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01539 [2] validation_0-merror:0.4 validation_0-mlogloss:0.982996 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956133 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.935663 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922018 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.911642 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.895823 [8] validation_0-merror:0.35 validation_0-mlogloss:0.88559 [9] validation_0-merror:0.35 validation_0-mlogloss:0.87624 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.871365 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.861387 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.85772 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.858905 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.855986 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.855793 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.856794 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.859043 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.859887 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.861627 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.865832 Stopping. Best iteration: [15] validation_0-merror:0.366667 validation_0-mlogloss:0.855793 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04947 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00571 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977077 [3] validation_0-merror:0.35 validation_0-mlogloss:0.950511 [4] validation_0-merror:0.3 validation_0-mlogloss:0.922874 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901227 [6] validation_0-merror:0.3 validation_0-mlogloss:0.877898 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.865213 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848694 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829909 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820308 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809943 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.804123 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797297 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791764 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784076 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779411 [17] validation_0-merror:0.3 validation_0-mlogloss:0.772201 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763701 [19] validation_0-merror:0.3 validation_0-mlogloss:0.757163 [20] validation_0-merror:0.3 validation_0-mlogloss:0.749198 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74292 [22] validation_0-merror:0.3 validation_0-mlogloss:0.740459 [23] validation_0-merror:0.3 validation_0-mlogloss:0.73225 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723732 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.716495 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717159 [27] validation_0-merror:0.3 validation_0-mlogloss:0.710764 [28] validation_0-merror:0.3 validation_0-mlogloss:0.706123 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707067 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.70376 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.702067 [32] validation_0-merror:0.3 validation_0-mlogloss:0.703514 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70069 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699154 [35] validation_0-merror:0.3 validation_0-mlogloss:0.701896 [36] validation_0-merror:0.3 validation_0-mlogloss:0.705462 [37] validation_0-merror:0.3 validation_0-mlogloss:0.709959 [38] validation_0-merror:0.3 validation_0-mlogloss:0.707947 [39] validation_0-merror:0.3 validation_0-mlogloss:0.702093 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.699154 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06107 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02337 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987742 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95521 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930333 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910767 [6] validation_0-merror:0.4 validation_0-mlogloss:0.893494 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.874224 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855007 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.847322 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.839191 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.826517 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.82576 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.813199 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.805128 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.795165 [16] validation_0-merror:0.35 validation_0-mlogloss:0.786819 [17] validation_0-merror:0.35 validation_0-mlogloss:0.787284 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.786427 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.782676 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.781119 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774845 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.777052 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.774657 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772469 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.769872 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765539 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.763562 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754595 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756186 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.755727 [31] validation_0-merror:0.35 validation_0-mlogloss:0.759747 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.761726 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.760894 Stopping. Best iteration: [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754595 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0526 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01469 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981886 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.94907 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.920707 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901136 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883364 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869069 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857352 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840359 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837743 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822676 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807044 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801288 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786861 [15] validation_0-merror:0.3 validation_0-mlogloss:0.774736 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763868 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.749798 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.75143 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749231 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746248 [21] validation_0-merror:0.3 validation_0-mlogloss:0.739133 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738548 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735781 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738091 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738294 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.73476 [27] validation_0-merror:0.3 validation_0-mlogloss:0.734699 [28] validation_0-merror:0.3 validation_0-mlogloss:0.737761 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.7382 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.734456 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73854 [32] validation_0-merror:0.3 validation_0-mlogloss:0.738649 [33] validation_0-merror:0.3 validation_0-mlogloss:0.738834 [34] validation_0-merror:0.3 validation_0-mlogloss:0.74095 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.744058 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.734456 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05081 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01079 [2] validation_0-merror:0.35 validation_0-mlogloss:0.974248 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946551 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925089 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898738 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880212 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859228 [8] validation_0-merror:0.3 validation_0-mlogloss:0.839522 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.825196 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.81504 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.79856 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.785264 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.779404 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.773609 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.766518 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760312 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756299 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.747432 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.742831 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.733502 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.728628 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.724156 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.721536 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.710915 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.703956 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.70143 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.697338 [28] validation_0-merror:0.3 validation_0-mlogloss:0.695488 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.693277 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688986 [31] validation_0-merror:0.3 validation_0-mlogloss:0.692017 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688761 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687716 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691225 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.687942 [36] validation_0-merror:0.3 validation_0-mlogloss:0.690339 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688268 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683484 [39] validation_0-merror:0.3 validation_0-mlogloss:0.681006 [40] validation_0-merror:0.3 validation_0-mlogloss:0.67905 [41] validation_0-merror:0.3 validation_0-mlogloss:0.681066 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678241 [43] validation_0-merror:0.3 validation_0-mlogloss:0.677608 [44] validation_0-merror:0.3 validation_0-mlogloss:0.679405 [45] validation_0-merror:0.3 validation_0-mlogloss:0.678141 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682214 [47] validation_0-merror:0.3 validation_0-mlogloss:0.682324 [48] validation_0-merror:0.3 validation_0-mlogloss:0.684746 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.677608 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04856 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01251 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975636 [3] validation_0-merror:0.35 validation_0-mlogloss:0.933031 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.909367 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.89745 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.873565 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.85992 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.846617 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.832357 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818229 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810626 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.805098 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.801684 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.78872 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.783945 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77845 [17] validation_0-merror:0.35 validation_0-mlogloss:0.776184 [18] validation_0-merror:0.35 validation_0-mlogloss:0.769789 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.762079 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757236 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760399 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760448 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755723 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.757702 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.758297 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.759663 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.760076 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.761703 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755723 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05505 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0134 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983084 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9445 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92178 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905355 [6] validation_0-merror:0.35 validation_0-mlogloss:0.884356 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864363 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851339 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844965 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837047 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833745 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.823935 [13] validation_0-merror:0.35 validation_0-mlogloss:0.818066 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806001 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.794867 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.785876 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.7812 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.778689 [19] validation_0-merror:0.35 validation_0-mlogloss:0.772984 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.767923 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76555 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.761039 [23] validation_0-merror:0.3 validation_0-mlogloss:0.759012 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75708 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75875 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.761007 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.761667 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.762897 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766957 Stopping. Best iteration: [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75708 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05005 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00366 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.968763 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.935344 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.909091 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885938 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.868203 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.852118 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.840951 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.831389 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.822063 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.812305 [12] validation_0-merror:0.233333 validation_0-mlogloss:0.801749 [13] validation_0-merror:0.25 validation_0-mlogloss:0.797065 [14] validation_0-merror:0.233333 validation_0-mlogloss:0.789423 [15] validation_0-merror:0.25 validation_0-mlogloss:0.78575 [16] validation_0-merror:0.233333 validation_0-mlogloss:0.778842 [17] validation_0-merror:0.233333 validation_0-mlogloss:0.775132 [18] validation_0-merror:0.25 validation_0-mlogloss:0.77048 [19] validation_0-merror:0.216667 validation_0-mlogloss:0.766955 [20] validation_0-merror:0.216667 validation_0-mlogloss:0.762912 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.759483 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.756868 [23] validation_0-merror:0.216667 validation_0-mlogloss:0.753812 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.752741 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.750235 [26] validation_0-merror:0.25 validation_0-mlogloss:0.750445 [27] validation_0-merror:0.25 validation_0-mlogloss:0.749148 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.747589 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.747583 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.745512 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.747952 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.747182 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.748361 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.752201 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.754709 Stopping. Best iteration: [30] validation_0-merror:0.266667 validation_0-mlogloss:0.745512 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04888 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00873 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.97171 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.938991 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.91619 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.893483 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.873536 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.860374 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.84668 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.836912 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824085 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.81517 [12] validation_0-merror:0.35 validation_0-mlogloss:0.811093 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805965 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798893 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795616 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794733 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788343 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784187 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.784303 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.782533 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.783476 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.778611 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.781007 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.779287 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.783123 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.782764 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.785664 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.778611 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.0486 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00774 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975044 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939643 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.91107 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886989 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.874807 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.860977 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852036 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846401 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.840459 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.831427 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821714 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813105 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808332 [15] validation_0-merror:0.3 validation_0-mlogloss:0.805902 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.80431 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806202 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.806206 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.808085 [20] validation_0-merror:0.35 validation_0-mlogloss:0.808378 [21] validation_0-merror:0.35 validation_0-mlogloss:0.810814 Stopping. Best iteration: [16] validation_0-merror:0.333333 validation_0-mlogloss:0.80431 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04853 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00699 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977265 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947368 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925023 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903254 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883085 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.863573 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8486 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83268 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.821813 [11] validation_0-merror:0.35 validation_0-mlogloss:0.810991 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802726 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793025 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786743 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780464 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769346 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767651 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759383 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75382 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744947 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740423 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738707 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.731103 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72275 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.717739 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.720355 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.716497 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710915 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.711201 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.713764 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715344 [32] validation_0-merror:0.3 validation_0-mlogloss:0.715653 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.713108 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.710915 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02334 [2] validation_0-merror:0.4 validation_0-mlogloss:0.987949 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955504 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929793 [5] validation_0-merror:0.4 validation_0-mlogloss:0.909452 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.888992 [7] validation_0-merror:0.4 validation_0-mlogloss:0.875761 [8] validation_0-merror:0.4 validation_0-mlogloss:0.857691 [9] validation_0-merror:0.4 validation_0-mlogloss:0.850576 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842037 [11] validation_0-merror:0.4 validation_0-mlogloss:0.828085 [12] validation_0-merror:0.4 validation_0-mlogloss:0.826102 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817883 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810785 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800344 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.796506 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796535 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791504 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.785659 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784237 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.775487 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.775531 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770628 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766722 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766433 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.761428 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757962 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.748623 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.747972 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.752341 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.755775 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.755539 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.755532 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.761517 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.747972 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993163 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.95997 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938762 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.915746 [6] validation_0-merror:0.25 validation_0-mlogloss:0.894567 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.880455 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.865465 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.854482 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.848954 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.83525 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821443 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.815335 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800421 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784623 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.775611 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768445 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766483 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760428 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763363 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764253 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764048 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.760796 [24] validation_0-merror:0.3 validation_0-mlogloss:0.762372 Stopping. Best iteration: [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760428 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04994 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00956 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978111 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.949803 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.927274 [5] validation_0-merror:0.35 validation_0-mlogloss:0.909237 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.8853 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.865235 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847832 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.826643 [10] validation_0-merror:0.3 validation_0-mlogloss:0.816727 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798621 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.788623 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784517 [14] validation_0-merror:0.3 validation_0-mlogloss:0.775627 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.766855 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.759166 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.753798 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.747684 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746705 [20] validation_0-merror:0.3 validation_0-mlogloss:0.736426 [21] validation_0-merror:0.3 validation_0-mlogloss:0.730362 [22] validation_0-merror:0.3 validation_0-mlogloss:0.7275 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724265 [24] validation_0-merror:0.3 validation_0-mlogloss:0.724661 [25] validation_0-merror:0.3 validation_0-mlogloss:0.7242 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.722881 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.717949 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.715776 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.719778 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719905 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.718999 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.718094 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.717437 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.715776 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.971813 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.935017 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.915565 [5] validation_0-merror:0.4 validation_0-mlogloss:0.90274 [6] validation_0-merror:0.4 validation_0-mlogloss:0.8801 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861875 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.844969 [9] validation_0-merror:0.4 validation_0-mlogloss:0.83327 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.820617 [11] validation_0-merror:0.4 validation_0-mlogloss:0.811722 [12] validation_0-merror:0.4 validation_0-mlogloss:0.805911 [13] validation_0-merror:0.4 validation_0-mlogloss:0.798791 [14] validation_0-merror:0.4 validation_0-mlogloss:0.786427 [15] validation_0-merror:0.4 validation_0-mlogloss:0.782136 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.776179 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.769264 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.76298 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.759021 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.759487 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.758613 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764139 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762355 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764538 [25] validation_0-merror:0.35 validation_0-mlogloss:0.766015 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764579 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.758613 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05133 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01452 [2] validation_0-merror:0.3 validation_0-mlogloss:0.981403 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947747 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.926934 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909607 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885187 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868356 [8] validation_0-merror:0.3 validation_0-mlogloss:0.853522 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847506 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838643 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.833196 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824079 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.823146 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.809826 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.799351 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788704 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.782491 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.779145 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.770013 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.762772 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.76329 [22] validation_0-merror:0.25 validation_0-mlogloss:0.757959 [23] validation_0-merror:0.3 validation_0-mlogloss:0.755924 [24] validation_0-merror:0.3 validation_0-mlogloss:0.759332 [25] validation_0-merror:0.3 validation_0-mlogloss:0.758845 [26] validation_0-merror:0.3 validation_0-mlogloss:0.760715 [27] validation_0-merror:0.3 validation_0-mlogloss:0.759027 [28] validation_0-merror:0.3 validation_0-mlogloss:0.762895 Stopping. Best iteration: [23] validation_0-merror:0.3 validation_0-mlogloss:0.755924 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04541 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.0013 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.964585 [3] validation_0-merror:0.3 validation_0-mlogloss:0.93456 [4] validation_0-merror:0.3 validation_0-mlogloss:0.910715 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887706 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.8678 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.850855 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.836692 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.821226 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.80767 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.797973 [12] validation_0-merror:0.3 validation_0-mlogloss:0.791223 [13] validation_0-merror:0.3 validation_0-mlogloss:0.78641 [14] validation_0-merror:0.3 validation_0-mlogloss:0.779731 [15] validation_0-merror:0.3 validation_0-mlogloss:0.770133 [16] validation_0-merror:0.3 validation_0-mlogloss:0.763916 [17] validation_0-merror:0.3 validation_0-mlogloss:0.758767 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752442 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746991 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.742633 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.740669 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.73642 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734559 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731882 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727105 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725503 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721735 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.722416 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.72134 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.717704 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.716956 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717035 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715097 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.714952 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.71673 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.716417 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.715848 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.716164 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.716495 Stopping. Best iteration: [34] validation_0-merror:0.283333 validation_0-mlogloss:0.714952 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05025 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00749 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.969365 [3] validation_0-merror:0.35 validation_0-mlogloss:0.941152 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.916334 [5] validation_0-merror:0.35 validation_0-mlogloss:0.898743 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877395 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863081 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85071 [9] validation_0-merror:0.35 validation_0-mlogloss:0.837975 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82712 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819124 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810446 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802399 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797944 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792769 [16] validation_0-merror:0.35 validation_0-mlogloss:0.789216 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788508 [18] validation_0-merror:0.35 validation_0-mlogloss:0.787446 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782461 [20] validation_0-merror:0.35 validation_0-mlogloss:0.781677 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77715 [22] validation_0-merror:0.35 validation_0-mlogloss:0.776397 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.773953 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773156 [25] validation_0-merror:0.35 validation_0-mlogloss:0.775143 [26] validation_0-merror:0.35 validation_0-mlogloss:0.776758 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.77348 [28] validation_0-merror:0.3 validation_0-mlogloss:0.775479 [29] validation_0-merror:0.3 validation_0-mlogloss:0.775356 Stopping. Best iteration: [24] validation_0-merror:0.35 validation_0-mlogloss:0.773156 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04665 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00733 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97682 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.946867 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925056 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.902734 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.880839 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.866234 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8539 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836586 [10] validation_0-merror:0.35 validation_0-mlogloss:0.82562 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817903 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810086 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80666 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.801517 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.80117 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799529 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799365 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.797252 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.796664 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.797923 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.800201 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.799309 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.799996 [24] validation_0-merror:0.3 validation_0-mlogloss:0.800978 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.796664 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04875 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01128 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977604 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9485 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925836 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.906768 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886944 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.870194 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858465 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.840626 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829532 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820542 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.811934 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.804529 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798608 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788254 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774258 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770191 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763697 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.759691 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748325 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745225 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740427 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.729473 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.723605 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.718958 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.720797 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71014 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709606 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711068 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711912 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712705 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713269 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.714376 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.709606 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02397 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990165 [3] validation_0-merror:0.35 validation_0-mlogloss:0.957659 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935527 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914938 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895793 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.881069 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.861617 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.852349 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.843457 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.830157 [12] validation_0-merror:0.4 validation_0-mlogloss:0.827957 [13] validation_0-merror:0.4 validation_0-mlogloss:0.819529 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811319 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800597 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791758 [17] validation_0-merror:0.4 validation_0-mlogloss:0.788869 [18] validation_0-merror:0.4 validation_0-mlogloss:0.78827 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775631 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772621 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769685 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768984 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766237 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763726 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765302 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.757323 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756486 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754894 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75288 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.754703 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.756912 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.757142 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.754807 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.756038 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.75288 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996259 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965122 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943406 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923978 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.907268 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.8933 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.878469 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866136 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85858 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.847849 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831958 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.824524 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.816973 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.808002 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.800303 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793843 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792627 [19] validation_0-merror:0.35 validation_0-mlogloss:0.789773 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.785218 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.779488 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.778676 [23] validation_0-merror:0.35 validation_0-mlogloss:0.77176 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.769669 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.767736 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759811 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758041 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752846 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751741 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747836 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.746026 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.745697 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746159 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.745101 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.744206 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.744358 [37] validation_0-merror:0.3 validation_0-mlogloss:0.742184 [38] validation_0-merror:0.3 validation_0-mlogloss:0.740637 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.736534 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.733254 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.729686 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.733977 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.731734 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.729744 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725478 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.728687 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.730193 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.729499 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.728702 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.73299 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.725478 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04891 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01125 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978103 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950782 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.932206 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913537 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888691 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867882 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.848482 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83133 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820104 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805802 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.793614 [13] validation_0-merror:0.3 validation_0-mlogloss:0.784544 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.781232 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.771992 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.763275 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761477 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755908 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753618 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743585 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.739782 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.73353 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725256 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.720835 [25] validation_0-merror:0.3 validation_0-mlogloss:0.718935 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717315 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713754 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71234 [29] validation_0-merror:0.3 validation_0-mlogloss:0.716093 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714965 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714577 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.715135 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713356 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.71234 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04993 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01428 [2] validation_0-merror:0.35 validation_0-mlogloss:0.978936 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.944791 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.918892 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.899315 [6] validation_0-merror:0.4 validation_0-mlogloss:0.883136 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.873498 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862709 [9] validation_0-merror:0.4 validation_0-mlogloss:0.849627 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.833434 [11] validation_0-merror:0.4 validation_0-mlogloss:0.824339 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.817479 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.808442 [14] validation_0-merror:0.4 validation_0-mlogloss:0.793481 [15] validation_0-merror:0.4 validation_0-mlogloss:0.78723 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.780567 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.776343 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.772147 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766445 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768324 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764395 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.77113 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765948 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.765458 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76951 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.769345 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764395 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01496 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985826 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.955262 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.938176 [5] validation_0-merror:0.35 validation_0-mlogloss:0.923514 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.902586 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.88631 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.879736 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.873813 [10] validation_0-merror:0.35 validation_0-mlogloss:0.869734 [11] validation_0-merror:0.3 validation_0-mlogloss:0.862782 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.854826 [13] validation_0-merror:0.3 validation_0-mlogloss:0.850703 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.834383 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.824366 [16] validation_0-merror:0.3 validation_0-mlogloss:0.812248 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.801701 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.799392 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.787919 [20] validation_0-merror:0.3 validation_0-mlogloss:0.78389 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.781524 [22] validation_0-merror:0.3 validation_0-mlogloss:0.774957 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.775311 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773551 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.77439 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.772324 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770777 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.775041 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.775989 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.77734 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.780319 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.776507 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770777 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05019 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01284 [2] validation_0-merror:0.4 validation_0-mlogloss:0.982849 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955673 [4] validation_0-merror:0.4 validation_0-mlogloss:0.931316 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.912808 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.8975 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882318 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871272 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856643 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.846482 [11] validation_0-merror:0.35 validation_0-mlogloss:0.838514 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.832374 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827237 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.822905 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.814945 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.810093 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.803948 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.802094 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.800361 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.793967 [21] validation_0-merror:0.35 validation_0-mlogloss:0.791105 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.789672 [23] validation_0-merror:0.35 validation_0-mlogloss:0.785369 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779654 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.779869 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777956 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.776426 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.773302 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.774276 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.773111 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.772542 [32] validation_0-merror:0.3 validation_0-mlogloss:0.7725 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.774013 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.774185 [35] validation_0-merror:0.3 validation_0-mlogloss:0.770967 [36] validation_0-merror:0.3 validation_0-mlogloss:0.772854 [37] validation_0-merror:0.3 validation_0-mlogloss:0.767655 [38] validation_0-merror:0.3 validation_0-mlogloss:0.766238 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.768651 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.769412 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.768799 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.769278 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.768087 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.766238 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92257 [5] validation_0-merror:0.4 validation_0-mlogloss:0.904549 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886606 [7] validation_0-merror:0.35 validation_0-mlogloss:0.864447 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853081 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83852 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.831176 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.823489 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.815041 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.806491 [14] validation_0-merror:0.4 validation_0-mlogloss:0.802971 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.798993 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79747 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792498 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788681 [19] validation_0-merror:0.35 validation_0-mlogloss:0.788036 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.784845 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783189 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78128 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.779845 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.780428 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.776358 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781198 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778919 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.78179 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.783032 [30] validation_0-merror:0.35 validation_0-mlogloss:0.787096 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.776358 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.97523 [3] validation_0-merror:0.35 validation_0-mlogloss:0.952319 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932426 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.914494 [6] validation_0-merror:0.35 validation_0-mlogloss:0.899309 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881936 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.862699 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855558 [10] validation_0-merror:0.3 validation_0-mlogloss:0.843985 [11] validation_0-merror:0.3 validation_0-mlogloss:0.83645 [12] validation_0-merror:0.3 validation_0-mlogloss:0.830839 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.826642 [14] validation_0-merror:0.3 validation_0-mlogloss:0.823873 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824279 [16] validation_0-merror:0.3 validation_0-mlogloss:0.825508 [17] validation_0-merror:0.3 validation_0-mlogloss:0.826783 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.822468 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.819178 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.814381 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.808743 [22] validation_0-merror:0.3 validation_0-mlogloss:0.806975 [23] validation_0-merror:0.3 validation_0-mlogloss:0.804046 [24] validation_0-merror:0.3 validation_0-mlogloss:0.799547 [25] validation_0-merror:0.3 validation_0-mlogloss:0.798351 [26] validation_0-merror:0.3 validation_0-mlogloss:0.798601 [27] validation_0-merror:0.3 validation_0-mlogloss:0.798092 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.795729 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.794933 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.789277 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.786358 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.786788 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.781001 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.782086 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.780249 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.778761 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.780327 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.78104 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.781081 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.784633 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.786046 Stopping. Best iteration: [36] validation_0-merror:0.266667 validation_0-mlogloss:0.778761 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.949569 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925552 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904728 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886078 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869843 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855596 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838004 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824699 [11] validation_0-merror:0.35 validation_0-mlogloss:0.816776 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808067 [13] validation_0-merror:0.35 validation_0-mlogloss:0.796695 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792649 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.785428 [16] validation_0-merror:0.3 validation_0-mlogloss:0.774589 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768608 [18] validation_0-merror:0.3 validation_0-mlogloss:0.762489 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755997 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749247 [21] validation_0-merror:0.3 validation_0-mlogloss:0.74476 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.74125 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734487 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.726519 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.722662 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.721841 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.715758 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.715871 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.715679 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.715805 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715289 [32] validation_0-merror:0.3 validation_0-mlogloss:0.716353 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716554 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.716432 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.718974 [36] validation_0-merror:0.3 validation_0-mlogloss:0.722485 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.715289 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02615 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99409 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937679 [5] validation_0-merror:0.4 validation_0-mlogloss:0.918266 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.897741 [7] validation_0-merror:0.4 validation_0-mlogloss:0.882775 [8] validation_0-merror:0.4 validation_0-mlogloss:0.862714 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853652 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.843332 [11] validation_0-merror:0.4 validation_0-mlogloss:0.829586 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.826982 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817351 [14] validation_0-merror:0.4 validation_0-mlogloss:0.80919 [15] validation_0-merror:0.4 validation_0-mlogloss:0.803198 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791609 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786143 [18] validation_0-merror:0.4 validation_0-mlogloss:0.782893 [19] validation_0-merror:0.4 validation_0-mlogloss:0.776951 [20] validation_0-merror:0.4 validation_0-mlogloss:0.771259 [21] validation_0-merror:0.4 validation_0-mlogloss:0.76514 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76362 [23] validation_0-merror:0.4 validation_0-mlogloss:0.761288 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758845 [25] validation_0-merror:0.4 validation_0-mlogloss:0.765229 [26] validation_0-merror:0.4 validation_0-mlogloss:0.758065 [27] validation_0-merror:0.4 validation_0-mlogloss:0.755014 [28] validation_0-merror:0.4 validation_0-mlogloss:0.752949 [29] validation_0-merror:0.4 validation_0-mlogloss:0.749427 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749907 [31] validation_0-merror:0.4 validation_0-mlogloss:0.751674 [32] validation_0-merror:0.4 validation_0-mlogloss:0.752227 [33] validation_0-merror:0.4 validation_0-mlogloss:0.750442 [34] validation_0-merror:0.4 validation_0-mlogloss:0.75141 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.749427 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.945806 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.925477 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.907965 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893162 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876975 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.860572 [10] validation_0-merror:0.35 validation_0-mlogloss:0.853839 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.842304 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827156 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820674 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.808483 [15] validation_0-merror:0.35 validation_0-mlogloss:0.800225 [16] validation_0-merror:0.35 validation_0-mlogloss:0.793108 [17] validation_0-merror:0.35 validation_0-mlogloss:0.785 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785334 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77771 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775633 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76976 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764665 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758021 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.753417 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751182 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.745272 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.741835 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.738461 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735847 [30] validation_0-merror:0.3 validation_0-mlogloss:0.730537 [31] validation_0-merror:0.3 validation_0-mlogloss:0.728361 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.727703 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.730854 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728487 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.729015 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.729509 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.72534 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728844 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724757 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.723177 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.719709 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.721388 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.720508 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.720288 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.717882 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.719833 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.722651 [48] validation_0-merror:0.35 validation_0-mlogloss:0.717856 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.717052 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.719054 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.720069 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.723734 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.720108 [54] validation_0-merror:0.35 validation_0-mlogloss:0.720597 Stopping. Best iteration: [49] validation_0-merror:0.333333 validation_0-mlogloss:0.717052 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01274 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.97855 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949965 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.927856 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906468 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.880897 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.862133 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.843573 [9] validation_0-merror:0.35 validation_0-mlogloss:0.828472 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.816262 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802375 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786976 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.779374 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.772642 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.762444 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.754707 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754162 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.746889 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744171 [20] validation_0-merror:0.3 validation_0-mlogloss:0.73792 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733126 [22] validation_0-merror:0.3 validation_0-mlogloss:0.728895 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722342 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718811 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719176 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716681 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712493 [28] validation_0-merror:0.3 validation_0-mlogloss:0.709215 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711482 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709336 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.706806 [32] validation_0-merror:0.3 validation_0-mlogloss:0.705943 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705463 [34] validation_0-merror:0.3 validation_0-mlogloss:0.705667 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703944 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704982 [37] validation_0-merror:0.3 validation_0-mlogloss:0.705857 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704427 [39] validation_0-merror:0.3 validation_0-mlogloss:0.704075 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703845 [41] validation_0-merror:0.3 validation_0-mlogloss:0.704156 [42] validation_0-merror:0.3 validation_0-mlogloss:0.70167 [43] validation_0-merror:0.3 validation_0-mlogloss:0.701136 [44] validation_0-merror:0.3 validation_0-mlogloss:0.701791 [45] validation_0-merror:0.3 validation_0-mlogloss:0.699965 [46] validation_0-merror:0.3 validation_0-mlogloss:0.699133 [47] validation_0-merror:0.3 validation_0-mlogloss:0.699371 [48] validation_0-merror:0.3 validation_0-mlogloss:0.699181 [49] validation_0-merror:0.3 validation_0-mlogloss:0.697457 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.697198 [51] validation_0-merror:0.3 validation_0-mlogloss:0.700351 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.698455 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.695873 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.696067 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.693397 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.69569 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.693635 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.687575 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.683724 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.68503 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.685972 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.689445 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.690315 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.688428 Stopping. Best iteration: [59] validation_0-merror:0.266667 validation_0-mlogloss:0.683724 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984362 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953942 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93091 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914885 [6] validation_0-merror:0.4 validation_0-mlogloss:0.894425 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.883361 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.871046 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854884 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.841919 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.834557 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.825513 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816197 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.808911 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.805533 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800289 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794566 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788821 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781819 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.783225 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.776861 [22] validation_0-merror:0.4 validation_0-mlogloss:0.779453 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775532 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.777688 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.779446 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.772004 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768464 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.769183 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.772203 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.77156 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.770504 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.770203 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.768464 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994172 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962305 [4] validation_0-merror:0.3 validation_0-mlogloss:0.940536 [5] validation_0-merror:0.3 validation_0-mlogloss:0.922579 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.902344 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.885278 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8746 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867553 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853314 [11] validation_0-merror:0.3 validation_0-mlogloss:0.844056 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.836356 [13] validation_0-merror:0.3 validation_0-mlogloss:0.831311 [14] validation_0-merror:0.3 validation_0-mlogloss:0.822868 [15] validation_0-merror:0.3 validation_0-mlogloss:0.818012 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.815214 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.812336 [18] validation_0-merror:0.3 validation_0-mlogloss:0.807334 [19] validation_0-merror:0.3 validation_0-mlogloss:0.793362 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.788741 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.789963 [22] validation_0-merror:0.3 validation_0-mlogloss:0.785994 [23] validation_0-merror:0.3 validation_0-mlogloss:0.782616 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781805 [25] validation_0-merror:0.3 validation_0-mlogloss:0.784699 [26] validation_0-merror:0.3 validation_0-mlogloss:0.778094 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.775595 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7775 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.774998 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.773731 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770671 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.770251 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.767565 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766737 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771212 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.772435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.769331 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.765536 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.766474 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.764284 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.764222 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.762523 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.762507 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.762782 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.763632 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.764039 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761981 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.763775 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.764026 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.764862 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.766295 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.77065 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761981 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01173 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978946 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952722 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.930048 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911977 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894706 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882178 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869104 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857964 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849016 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.836563 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82923 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819029 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810358 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.803502 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796948 [17] validation_0-merror:0.35 validation_0-mlogloss:0.794321 [18] validation_0-merror:0.35 validation_0-mlogloss:0.790834 [19] validation_0-merror:0.35 validation_0-mlogloss:0.78962 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788282 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.782578 [22] validation_0-merror:0.35 validation_0-mlogloss:0.77996 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776236 [24] validation_0-merror:0.35 validation_0-mlogloss:0.770494 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.769755 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.765493 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.764295 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.758112 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.755432 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751277 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.750415 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.747904 [33] validation_0-merror:0.3 validation_0-mlogloss:0.743351 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.745967 [35] validation_0-merror:0.3 validation_0-mlogloss:0.743784 [36] validation_0-merror:0.3 validation_0-mlogloss:0.743709 [37] validation_0-merror:0.3 validation_0-mlogloss:0.743663 [38] validation_0-merror:0.3 validation_0-mlogloss:0.747018 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.743351 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.048 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00837 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.975164 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.943924 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.918716 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.896896 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.878225 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861058 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.848135 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83534 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822284 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813444 [12] validation_0-merror:0.35 validation_0-mlogloss:0.807472 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802283 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.795045 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.788355 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.783729 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.77759 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.773721 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771518 [20] validation_0-merror:0.35 validation_0-mlogloss:0.769447 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768293 [22] validation_0-merror:0.35 validation_0-mlogloss:0.765437 [23] validation_0-merror:0.35 validation_0-mlogloss:0.764114 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760156 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76008 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.759368 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.759176 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.760107 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.761994 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.765341 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.765983 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.766495 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.759176 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957385 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.931194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908872 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.891063 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.876383 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.865758 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855592 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84362 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.834679 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.830254 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822839 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81761 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.816279 [16] validation_0-merror:0.35 validation_0-mlogloss:0.808686 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.807071 [18] validation_0-merror:0.35 validation_0-mlogloss:0.803117 [19] validation_0-merror:0.35 validation_0-mlogloss:0.800363 [20] validation_0-merror:0.35 validation_0-mlogloss:0.798515 [21] validation_0-merror:0.35 validation_0-mlogloss:0.794836 [22] validation_0-merror:0.35 validation_0-mlogloss:0.794087 [23] validation_0-merror:0.35 validation_0-mlogloss:0.791751 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.789853 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.785468 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.785953 [27] validation_0-merror:0.35 validation_0-mlogloss:0.779968 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.776841 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.776672 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.77282 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.771415 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.770703 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.766482 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.766074 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.764107 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.763022 [37] validation_0-merror:0.3 validation_0-mlogloss:0.760107 [38] validation_0-merror:0.3 validation_0-mlogloss:0.758933 [39] validation_0-merror:0.3 validation_0-mlogloss:0.75768 [40] validation_0-merror:0.3 validation_0-mlogloss:0.757632 [41] validation_0-merror:0.3 validation_0-mlogloss:0.758044 [42] validation_0-merror:0.3 validation_0-mlogloss:0.760085 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.758641 [44] validation_0-merror:0.3 validation_0-mlogloss:0.75776 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.757285 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.758666 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.759583 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.761151 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.762607 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.764806 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.757285 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06352 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03128 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995949 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.968154 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947415 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897959 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.876578 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857382 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837483 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818235 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806273 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798439 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.787001 [14] validation_0-merror:0.35 validation_0-mlogloss:0.779833 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.775181 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.767327 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761392 [18] validation_0-merror:0.35 validation_0-mlogloss:0.760273 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758344 [20] validation_0-merror:0.35 validation_0-mlogloss:0.756344 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753395 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748465 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7408 [24] validation_0-merror:0.35 validation_0-mlogloss:0.736757 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734766 [26] validation_0-merror:0.35 validation_0-mlogloss:0.730434 [27] validation_0-merror:0.35 validation_0-mlogloss:0.724816 [28] validation_0-merror:0.35 validation_0-mlogloss:0.725002 [29] validation_0-merror:0.35 validation_0-mlogloss:0.724692 [30] validation_0-merror:0.35 validation_0-mlogloss:0.716327 [31] validation_0-merror:0.35 validation_0-mlogloss:0.712674 [32] validation_0-merror:0.35 validation_0-mlogloss:0.710848 [33] validation_0-merror:0.35 validation_0-mlogloss:0.707622 [34] validation_0-merror:0.35 validation_0-mlogloss:0.707869 [35] validation_0-merror:0.35 validation_0-mlogloss:0.706381 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.706293 [37] validation_0-merror:0.35 validation_0-mlogloss:0.7038 [38] validation_0-merror:0.35 validation_0-mlogloss:0.704734 [39] validation_0-merror:0.35 validation_0-mlogloss:0.706427 [40] validation_0-merror:0.35 validation_0-mlogloss:0.704992 [41] validation_0-merror:0.35 validation_0-mlogloss:0.702003 [42] validation_0-merror:0.35 validation_0-mlogloss:0.701916 [43] validation_0-merror:0.35 validation_0-mlogloss:0.706035 [44] validation_0-merror:0.35 validation_0-mlogloss:0.707508 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.705009 [46] validation_0-merror:0.35 validation_0-mlogloss:0.706384 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.70564 Stopping. Best iteration: [42] validation_0-merror:0.35 validation_0-mlogloss:0.701916
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/model_selection/_search.py:813: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal. DeprecationWarning)
In [29]:
gridsearch
Out[29]:
GridSearchCV(cv=StratifiedKFold(n_splits=3, random_state=8, shuffle=False),
error_score='raise-deprecating',
estimator=XGBClassifier(base_score=0.5, booster='gbtree',
colsample_bylevel=1, colsample_bytree=1,
gamma=0, learning_rate=0.1,
max_delta_step=0, max_depth=3,
min_child_weight=1, missing=None,
n_estimators=10000, n_jobs=1, nthread=None,
num_class=3, objective=...
random_state=0, reg_alpha=0, reg_lambda=1,
scale_pos_weight=1, seed=None, silent=True,
subsample=1, verbosity=0),
iid='warn', n_jobs=None,
param_grid={'colsample_bytree': [0.6, 0.8, 1.0],
'gamma': [0.0, 0.1, 0.2, 0.3],
'max_depth': [2, 4, 6, 8],
'min_child_weight': [1, 2, 3, 4, 5],
'subsample': [0.6, 0.8, 1.0]},
pre_dispatch='2*n_jobs', refit=True, return_train_score=False,
scoring=None, verbose=0)
In [30]:
gridSearchTime = (endGrid - startGrid).seconds
print(f'GridSearch took {gridSearchTime} seconds')
GridSearch took 145 seconds
Best¶
In [31]:
gridsearch.best_params_
Out[31]:
{'colsample_bytree': 0.6,
'gamma': 0.2,
'max_depth': 6,
'min_child_weight': 4,
'subsample': 0.6}
Fit¶
In [32]:
model = xgb.XGBClassifier(n_estimators=10000,
max_depth=gridsearch.best_params_['max_depth'],
min_child_weight=gridsearch.best_params_['min_child_weight'],
gamma=gridsearch.best_params_['gamma'],
colsample_bytree=gridsearch.best_params_['colsample_bytree'],
subsample=gridsearch.best_params_['subsample'],
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
model.fit(X_train_proc, y_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=eval_set,
verbose=True)
[0] validation_0-merror:0.45 validation_0-mlogloss:1.06352 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03128 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995949 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.968154 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947415 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897959 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.876578 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857382 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837483 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818235 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806273 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798439 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.787001 [14] validation_0-merror:0.35 validation_0-mlogloss:0.779833 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.775181 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.767327 [17] validation_0-merror:0.35 validation_0-mlogloss:0.761392 [18] validation_0-merror:0.35 validation_0-mlogloss:0.760273 [19] validation_0-merror:0.35 validation_0-mlogloss:0.758344 [20] validation_0-merror:0.35 validation_0-mlogloss:0.756344 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753395 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748465 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7408 [24] validation_0-merror:0.35 validation_0-mlogloss:0.736757 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734766 [26] validation_0-merror:0.35 validation_0-mlogloss:0.730434 [27] validation_0-merror:0.35 validation_0-mlogloss:0.724816 [28] validation_0-merror:0.35 validation_0-mlogloss:0.725002 [29] validation_0-merror:0.35 validation_0-mlogloss:0.724692 [30] validation_0-merror:0.35 validation_0-mlogloss:0.716327 [31] validation_0-merror:0.35 validation_0-mlogloss:0.712674 [32] validation_0-merror:0.35 validation_0-mlogloss:0.710848 [33] validation_0-merror:0.35 validation_0-mlogloss:0.707622 [34] validation_0-merror:0.35 validation_0-mlogloss:0.707869 [35] validation_0-merror:0.35 validation_0-mlogloss:0.706381 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.706293 [37] validation_0-merror:0.35 validation_0-mlogloss:0.7038 [38] validation_0-merror:0.35 validation_0-mlogloss:0.704734 [39] validation_0-merror:0.35 validation_0-mlogloss:0.706427 [40] validation_0-merror:0.35 validation_0-mlogloss:0.704992 [41] validation_0-merror:0.35 validation_0-mlogloss:0.702003 [42] validation_0-merror:0.35 validation_0-mlogloss:0.701916 [43] validation_0-merror:0.35 validation_0-mlogloss:0.706035 [44] validation_0-merror:0.35 validation_0-mlogloss:0.707508 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.705009 [46] validation_0-merror:0.35 validation_0-mlogloss:0.706384 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.70564 Stopping. Best iteration: [42] validation_0-merror:0.35 validation_0-mlogloss:0.701916
Out[32]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bytree=0.6, gamma=0.2, learning_rate=0.1,
max_delta_step=0, max_depth=6, min_child_weight=4, missing=None,
n_estimators=10000, n_jobs=1, nthread=None, num_class=3,
objective='multi:softprob', random_state=0, reg_alpha=0,
reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
subsample=0.6, verbosity=1)
Predict¶
In [33]:
proba = model.predict_proba(X_test_proc, model.best_iteration)
pred = np.argmax(proba, axis=1)
truth = y_test.astype('category').cat.codes
acc = errors(truth, pred);
Accuracy 0.7333333333333333
Confusion Matrix
[[21 0 1]
[ 1 18 8]
[ 5 5 16]]
Classification Report
precision recall f1-score support
0 0.78 0.95 0.86 22
1 0.78 0.67 0.72 27
2 0.64 0.62 0.63 26
accuracy 0.73 75
macro avg 0.73 0.75 0.73 75
weighted avg 0.73 0.73 0.73 75
Log Results¶
In [34]:
resultsDF.loc['GridSearch'] = [gridSearchTime, acc]
resultsDF
Out[34]:
| Time | Accuracy | |
|---|---|---|
| Default | 0.0 | 0.666667 |
| GridSearch | 145.0 | 0.733333 |
Random Grid Search¶
- Instead of testing every combination, we'll sample 10% of the steps we used in GridSearch
- This allows us to search the space without wasting overlaps in bad regions
- We expect:
- Random search to finish faster
- Explore the area
- Find a decent result
- If we're lucky we may hit an optimal result
Search¶
In [35]:
startRandom = datetime.datetime.now()
fit_params = {'early_stopping_rounds':5,
'eval_metric': [ 'merror', 'mlogloss'],
'eval_set': [(X_val_proc, y_val)]}
kfold = StratifiedKFold(n_splits=3, random_state=8)
model = xgb.XGBClassifier(n_estimators=10000,
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=0)
randomsearch = RandomizedSearchCV(model, param_grid,
n_iter = 72,
verbose=0,
cv=kfold)
randomsearch.fit(X_train_proc, y_train, **fit_params)
endRandom = datetime.datetime.now()
[0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01679 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.9823 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.954841 [4] validation_0-merror:0.4 validation_0-mlogloss:0.933773 [5] validation_0-merror:0.35 validation_0-mlogloss:0.912488 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890233 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87083 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853899 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.83716 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824383 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808683 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.793399 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785484 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779186 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770218 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762246 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762796 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.752095 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749939 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745262 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740101 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734553 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729699 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.725928 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720162 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.718909 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71334 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.710132 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71233 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711152 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.710798 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709643 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70935 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.70884 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.703914 [36] validation_0-merror:0.25 validation_0-mlogloss:0.703324 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.707639 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.704886 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704433 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706163 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705285 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.703324 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984859 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.953671 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929429 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913821 [6] validation_0-merror:0.4 validation_0-mlogloss:0.900021 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888708 [8] validation_0-merror:0.4 validation_0-mlogloss:0.875027 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.858652 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845441 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.836887 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.82846 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819045 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811255 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.807465 [16] validation_0-merror:0.416667 validation_0-mlogloss:0.800112 [17] validation_0-merror:0.4 validation_0-mlogloss:0.793297 [18] validation_0-merror:0.4 validation_0-mlogloss:0.785683 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780479 [20] validation_0-merror:0.4 validation_0-mlogloss:0.779493 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.774629 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.776193 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.770987 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.7691 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.76954 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.762248 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760331 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761488 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.762701 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.76439 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.766278 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.766609 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.760331 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923236 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903063 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885446 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874622 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.850951 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.841654 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831111 [13] validation_0-merror:0.3 validation_0-mlogloss:0.82611 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818175 [15] validation_0-merror:0.3 validation_0-mlogloss:0.812628 [16] validation_0-merror:0.3 validation_0-mlogloss:0.8095 [17] validation_0-merror:0.3 validation_0-mlogloss:0.805828 [18] validation_0-merror:0.3 validation_0-mlogloss:0.80094 [19] validation_0-merror:0.3 validation_0-mlogloss:0.790512 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.785965 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.787673 [22] validation_0-merror:0.3 validation_0-mlogloss:0.783722 [23] validation_0-merror:0.3 validation_0-mlogloss:0.780015 [24] validation_0-merror:0.3 validation_0-mlogloss:0.781361 [25] validation_0-merror:0.3 validation_0-mlogloss:0.785935 [26] validation_0-merror:0.3 validation_0-mlogloss:0.780658 [27] validation_0-merror:0.3 validation_0-mlogloss:0.777934 [28] validation_0-merror:0.3 validation_0-mlogloss:0.779242 [29] validation_0-merror:0.3 validation_0-mlogloss:0.776432 [30] validation_0-merror:0.3 validation_0-mlogloss:0.776599 [31] validation_0-merror:0.3 validation_0-mlogloss:0.775597 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773278 [33] validation_0-merror:0.3 validation_0-mlogloss:0.771757 [34] validation_0-merror:0.3 validation_0-mlogloss:0.770674 [35] validation_0-merror:0.3 validation_0-mlogloss:0.77309 [36] validation_0-merror:0.3 validation_0-mlogloss:0.772577 [37] validation_0-merror:0.3 validation_0-mlogloss:0.771156 [38] validation_0-merror:0.3 validation_0-mlogloss:0.768909 [39] validation_0-merror:0.3 validation_0-mlogloss:0.769165 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.76731 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.766339 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.764826 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.762134 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.762528 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.763506 [46] validation_0-merror:0.3 validation_0-mlogloss:0.762318 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.761614 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.76136 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.761781 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.762125 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.763274 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.767754 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.766131 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.76136 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04281 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:0.995384 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.96108 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.928445 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.902375 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.877672 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.857532 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.834229 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.815395 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.801377 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.782168 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.76547 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.75562 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.74443 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.735114 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.727919 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.722898 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.718141 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.716045 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.71322 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.709484 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.705498 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.702697 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.701218 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.697527 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.69601 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.690856 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.689798 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.689711 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689407 [30] validation_0-merror:0.3 validation_0-mlogloss:0.690225 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690666 [32] validation_0-merror:0.3 validation_0-mlogloss:0.689372 [33] validation_0-merror:0.3 validation_0-mlogloss:0.687204 [34] validation_0-merror:0.3 validation_0-mlogloss:0.689274 [35] validation_0-merror:0.3 validation_0-mlogloss:0.690592 [36] validation_0-merror:0.3 validation_0-mlogloss:0.692059 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.688989 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.687289 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.687204 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00739 [2] validation_0-merror:0.35 validation_0-mlogloss:0.969227 [3] validation_0-merror:0.35 validation_0-mlogloss:0.937971 [4] validation_0-merror:0.4 validation_0-mlogloss:0.912789 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.889838 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.872156 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857352 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8512 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.848367 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836458 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829419 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.825764 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.823445 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815189 [15] validation_0-merror:0.35 validation_0-mlogloss:0.81798 [16] validation_0-merror:0.35 validation_0-mlogloss:0.815367 [17] validation_0-merror:0.35 validation_0-mlogloss:0.816579 [18] validation_0-merror:0.35 validation_0-mlogloss:0.819172 [19] validation_0-merror:0.35 validation_0-mlogloss:0.822307 Stopping. Best iteration: [14] validation_0-merror:0.333333 validation_0-mlogloss:0.815189 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05558 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01513 [2] validation_0-merror:0.4 validation_0-mlogloss:0.980645 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956716 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.935754 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923472 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.909627 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.89796 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.889488 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.880747 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.87389 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.866865 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.86238 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.856515 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.854274 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.854386 [16] validation_0-merror:0.4 validation_0-mlogloss:0.856888 [17] validation_0-merror:0.4 validation_0-mlogloss:0.859616 [18] validation_0-merror:0.4 validation_0-mlogloss:0.864339 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.869599 Stopping. Best iteration: [14] validation_0-merror:0.383333 validation_0-mlogloss:0.854274 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00533 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977055 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951455 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.924702 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.902478 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881353 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868201 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848106 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.82987 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.820606 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813446 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809828 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.803029 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79766 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.789401 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.78636 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779409 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771539 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.764876 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753989 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750214 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745482 [23] validation_0-merror:0.3 validation_0-mlogloss:0.740499 [24] validation_0-merror:0.3 validation_0-mlogloss:0.733903 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725859 [26] validation_0-merror:0.3 validation_0-mlogloss:0.724561 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71935 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714863 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714785 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714096 [31] validation_0-merror:0.3 validation_0-mlogloss:0.71341 [32] validation_0-merror:0.3 validation_0-mlogloss:0.716675 [33] validation_0-merror:0.3 validation_0-mlogloss:0.715051 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714723 [35] validation_0-merror:0.3 validation_0-mlogloss:0.716887 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.719015 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.71341 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02079 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985032 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951403 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928289 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.90829 [6] validation_0-merror:0.4 validation_0-mlogloss:0.887358 [7] validation_0-merror:0.4 validation_0-mlogloss:0.867527 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.849369 [9] validation_0-merror:0.4 validation_0-mlogloss:0.841837 [10] validation_0-merror:0.4 validation_0-mlogloss:0.83237 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.817797 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.814736 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.809732 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.80163 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.791 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.786905 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.784206 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777769 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.769552 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767994 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762334 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763088 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759605 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.758334 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756705 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.753977 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.759455 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.756974 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752041 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749608 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.752924 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.754201 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.758811 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.766127 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.769322 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749608 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01559 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984286 [3] validation_0-merror:0.35 validation_0-mlogloss:0.953082 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905018 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888363 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.874829 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.859119 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.845369 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842496 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832226 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817574 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815053 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798185 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784688 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776016 [17] validation_0-merror:0.3 validation_0-mlogloss:0.762266 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764303 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764301 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765325 [21] validation_0-merror:0.35 validation_0-mlogloss:0.760877 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754691 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752959 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755488 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.751728 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748841 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743193 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737646 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73759 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735562 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736442 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.737539 [33] validation_0-merror:0.3 validation_0-mlogloss:0.735992 [34] validation_0-merror:0.3 validation_0-mlogloss:0.737845 [35] validation_0-merror:0.3 validation_0-mlogloss:0.738596 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.735562 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02218 [2] validation_0-merror:0.3 validation_0-mlogloss:0.986227 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956672 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909271 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88971 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868898 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853149 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842651 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830703 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.816472 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803696 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790413 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781244 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770171 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762848 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760514 [18] validation_0-merror:0.35 validation_0-mlogloss:0.753591 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744885 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738705 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731299 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729758 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728264 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722296 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.715831 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710396 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.708645 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.703413 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.697339 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694624 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.69303 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.692833 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68995 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.687642 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.684669 [36] validation_0-merror:0.3 validation_0-mlogloss:0.683255 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.679793 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.678968 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.679791 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.676879 [41] validation_0-merror:0.3 validation_0-mlogloss:0.677374 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677295 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.677883 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67451 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.675551 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.67467 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672681 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.67454 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.674215 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.672723 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.674058 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.675732 Stopping. Best iteration: [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672681 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05674 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02435 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993657 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.968617 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94356 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921957 [6] validation_0-merror:0.35 validation_0-mlogloss:0.903378 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889204 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.876313 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.863351 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.851939 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838437 [12] validation_0-merror:0.35 validation_0-mlogloss:0.829885 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.822129 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814838 [15] validation_0-merror:0.35 validation_0-mlogloss:0.805002 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.799218 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.793207 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.788728 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787411 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.780472 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.77549 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.7714 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.766386 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760459 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.756369 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751472 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.748281 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.745366 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.742831 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.742065 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.735562 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.734667 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73348 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.731159 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728294 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.727673 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721796 [38] validation_0-merror:0.35 validation_0-mlogloss:0.720124 [39] validation_0-merror:0.35 validation_0-mlogloss:0.717583 [40] validation_0-merror:0.35 validation_0-mlogloss:0.715825 [41] validation_0-merror:0.35 validation_0-mlogloss:0.715328 [42] validation_0-merror:0.35 validation_0-mlogloss:0.714193 [43] validation_0-merror:0.35 validation_0-mlogloss:0.710125 [44] validation_0-merror:0.35 validation_0-mlogloss:0.709395 [45] validation_0-merror:0.35 validation_0-mlogloss:0.709443 [46] validation_0-merror:0.35 validation_0-mlogloss:0.708016 [47] validation_0-merror:0.35 validation_0-mlogloss:0.708719 [48] validation_0-merror:0.35 validation_0-mlogloss:0.709729 [49] validation_0-merror:0.35 validation_0-mlogloss:0.708068 [50] validation_0-merror:0.35 validation_0-mlogloss:0.709162 [51] validation_0-merror:0.35 validation_0-mlogloss:0.711706 Stopping. Best iteration: [46] validation_0-merror:0.35 validation_0-mlogloss:0.708016 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06754 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03172 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.999086 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973193 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948428 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.925296 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904734 [7] validation_0-merror:0.35 validation_0-mlogloss:0.895911 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875467 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866637 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.861219 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.854323 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.8458 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.83769 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.829073 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812646 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.801737 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.793393 [19] validation_0-merror:0.3 validation_0-mlogloss:0.787976 [20] validation_0-merror:0.3 validation_0-mlogloss:0.776754 [21] validation_0-merror:0.3 validation_0-mlogloss:0.771344 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.765993 [23] validation_0-merror:0.3 validation_0-mlogloss:0.758718 [24] validation_0-merror:0.3 validation_0-mlogloss:0.751562 [25] validation_0-merror:0.3 validation_0-mlogloss:0.750403 [26] validation_0-merror:0.3 validation_0-mlogloss:0.742094 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739443 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.736543 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.730874 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.729482 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727586 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723146 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719982 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.717454 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.712766 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708509 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.707753 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.706179 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704787 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704313 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.700871 [42] validation_0-merror:0.3 validation_0-mlogloss:0.697955 [43] validation_0-merror:0.3 validation_0-mlogloss:0.695169 [44] validation_0-merror:0.3 validation_0-mlogloss:0.693767 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694049 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.690915 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.688304 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.686837 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.686474 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.686024 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.683411 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.681768 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681262 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.682651 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.680683 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.680778 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.683271 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.680946 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680861 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.679611 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.680144 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.680577 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.678724 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.679706 [65] validation_0-merror:0.3 validation_0-mlogloss:0.678725 [66] validation_0-merror:0.3 validation_0-mlogloss:0.681474 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.680304 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.683193 Stopping. Best iteration: [63] validation_0-merror:0.283333 validation_0-mlogloss:0.678724 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06239 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02279 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992194 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95676 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934444 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907216 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.88659 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.868107 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.850227 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833314 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824224 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813241 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.802116 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795606 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785861 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.77688 [16] validation_0-merror:0.3 validation_0-mlogloss:0.765894 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761003 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759606 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75756 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746972 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741124 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733226 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72342 [24] validation_0-merror:0.3 validation_0-mlogloss:0.71771 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713369 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70883 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71391 [28] validation_0-merror:0.3 validation_0-mlogloss:0.712829 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703068 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697002 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.69445 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691611 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687531 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691783 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695189 [36] validation_0-merror:0.3 validation_0-mlogloss:0.695333 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691974 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689378 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687531 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02455 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992201 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.966363 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.934267 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.912301 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.886819 [7] validation_0-merror:0.35 validation_0-mlogloss:0.872936 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85152 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83451 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825009 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8141 [12] validation_0-merror:0.35 validation_0-mlogloss:0.806558 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.797331 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790887 [15] validation_0-merror:0.35 validation_0-mlogloss:0.779888 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.776622 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770392 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.773357 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77451 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.774863 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.774588 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.778718 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770392 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05482 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01434 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.977795 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953922 [4] validation_0-merror:0.3 validation_0-mlogloss:0.922478 [5] validation_0-merror:0.35 validation_0-mlogloss:0.907065 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886442 [7] validation_0-merror:0.35 validation_0-mlogloss:0.87492 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856327 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842002 [10] validation_0-merror:0.35 validation_0-mlogloss:0.829645 [11] validation_0-merror:0.35 validation_0-mlogloss:0.822247 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80852 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798957 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789721 [15] validation_0-merror:0.35 validation_0-mlogloss:0.791646 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782488 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.780889 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.776201 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.773673 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781131 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783178 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783315 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.778123 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779406 Stopping. Best iteration: [19] validation_0-merror:0.333333 validation_0-mlogloss:0.773673 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04425 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00656 [2] validation_0-merror:0.3 validation_0-mlogloss:0.977238 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.939347 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.917272 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.889037 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.866394 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.844449 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.825515 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.81087 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.799167 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.786526 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.773256 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.76024 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.753443 [15] validation_0-merror:0.3 validation_0-mlogloss:0.743825 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.736239 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.727581 [18] validation_0-merror:0.3 validation_0-mlogloss:0.724792 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.722223 [20] validation_0-merror:0.3 validation_0-mlogloss:0.717003 [21] validation_0-merror:0.3 validation_0-mlogloss:0.713255 [22] validation_0-merror:0.3 validation_0-mlogloss:0.708064 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.70366 [24] validation_0-merror:0.25 validation_0-mlogloss:0.697764 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.691992 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.688014 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.691394 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690485 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.689514 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689429 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684416 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.679727 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.67862 [34] validation_0-merror:0.25 validation_0-mlogloss:0.677394 [35] validation_0-merror:0.233333 validation_0-mlogloss:0.679248 [36] validation_0-merror:0.25 validation_0-mlogloss:0.676605 [37] validation_0-merror:0.25 validation_0-mlogloss:0.677615 [38] validation_0-merror:0.25 validation_0-mlogloss:0.676507 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.675578 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.678916 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.679795 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.680749 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.680396 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.67678 Stopping. Best iteration: [39] validation_0-merror:0.266667 validation_0-mlogloss:0.675578 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05234 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00515 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974201 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.9443 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.913464 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.883083 [6] validation_0-merror:0.3 validation_0-mlogloss:0.863436 [7] validation_0-merror:0.3 validation_0-mlogloss:0.845651 [8] validation_0-merror:0.3 validation_0-mlogloss:0.825532 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.814468 [10] validation_0-merror:0.3 validation_0-mlogloss:0.806039 [11] validation_0-merror:0.3 validation_0-mlogloss:0.799064 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.790305 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784805 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77857 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772221 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770341 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767008 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762275 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756494 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750715 [21] validation_0-merror:0.3 validation_0-mlogloss:0.749654 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748335 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748299 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.752305 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.752139 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.751757 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.750865 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.75178 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748299 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04902 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01156 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985291 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962395 [4] validation_0-merror:0.3 validation_0-mlogloss:0.933078 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.912582 [6] validation_0-merror:0.3 validation_0-mlogloss:0.889493 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.880015 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.861597 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.849184 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.841847 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83477 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819773 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.810236 [14] validation_0-merror:0.25 validation_0-mlogloss:0.798686 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.794962 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.790133 [17] validation_0-merror:0.3 validation_0-mlogloss:0.784306 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.780191 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773646 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773293 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774549 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.773911 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.770492 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.766371 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.768563 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.769346 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770699 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.765786 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.759244 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.757912 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.761826 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.760152 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.766075 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.765015 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.772601 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.757912 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01192 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983363 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950518 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.928548 [5] validation_0-merror:0.3 validation_0-mlogloss:0.903656 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.886494 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.865608 [8] validation_0-merror:0.3 validation_0-mlogloss:0.845903 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829355 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822098 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.808158 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.796295 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789843 [14] validation_0-merror:0.3 validation_0-mlogloss:0.776869 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77109 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.763406 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.753912 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.750627 [19] validation_0-merror:0.35 validation_0-mlogloss:0.745866 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.734069 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.730986 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.722462 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.71278 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.703983 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.700281 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.692979 [27] validation_0-merror:0.3 validation_0-mlogloss:0.696881 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696849 [29] validation_0-merror:0.3 validation_0-mlogloss:0.692203 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.687109 [31] validation_0-merror:0.3 validation_0-mlogloss:0.684299 [32] validation_0-merror:0.3 validation_0-mlogloss:0.677687 [33] validation_0-merror:0.3 validation_0-mlogloss:0.67413 [34] validation_0-merror:0.3 validation_0-mlogloss:0.676583 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678177 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.676373 [37] validation_0-merror:0.3 validation_0-mlogloss:0.674107 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676519 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.67457 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676203 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.672301 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.668185 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.663289 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.664238 [45] validation_0-merror:0.3 validation_0-mlogloss:0.665234 [46] validation_0-merror:0.3 validation_0-mlogloss:0.667045 [47] validation_0-merror:0.3 validation_0-mlogloss:0.662337 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.661448 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.669198 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.66435 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.667062 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668142 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.669012 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.661448 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05958 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02531 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986014 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.956695 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.922507 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.899163 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.876406 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.857733 [8] validation_0-merror:0.35 validation_0-mlogloss:0.835884 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.81836 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.805474 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.793306 [12] validation_0-merror:0.35 validation_0-mlogloss:0.784115 [13] validation_0-merror:0.35 validation_0-mlogloss:0.776204 [14] validation_0-merror:0.35 validation_0-mlogloss:0.775037 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.766352 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.765767 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763781 [18] validation_0-merror:0.35 validation_0-mlogloss:0.761623 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760799 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76237 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762612 [22] validation_0-merror:0.35 validation_0-mlogloss:0.763119 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.765298 [24] validation_0-merror:0.35 validation_0-mlogloss:0.765629 Stopping. Best iteration: [19] validation_0-merror:0.35 validation_0-mlogloss:0.760799 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01792 [2] validation_0-merror:0.3 validation_0-mlogloss:0.981711 [3] validation_0-merror:0.3 validation_0-mlogloss:0.966227 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.939176 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921775 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.902664 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.890108 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868653 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855871 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.839772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829865 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813242 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.796605 [14] validation_0-merror:0.35 validation_0-mlogloss:0.787422 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787162 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778329 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774093 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766812 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.76113 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.758064 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757028 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752443 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747657 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743406 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743798 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743755 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739089 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.73633 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732441 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.728644 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.72543 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722385 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.724936 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.72697 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.732495 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.72845 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.725027 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722385 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940075 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921563 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902464 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882888 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869856 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851622 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.840958 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824618 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810154 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803534 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796046 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783909 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775269 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770575 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760245 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.75353 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746612 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740629 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731661 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726915 [24] validation_0-merror:0.3 validation_0-mlogloss:0.72265 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717798 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716397 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712877 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708592 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707548 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702972 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703105 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700061 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700236 [34] validation_0-merror:0.3 validation_0-mlogloss:0.699492 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.693581 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.695556 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692212 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68952 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686705 [40] validation_0-merror:0.3 validation_0-mlogloss:0.688439 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684221 [42] validation_0-merror:0.3 validation_0-mlogloss:0.681488 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679233 [44] validation_0-merror:0.3 validation_0-mlogloss:0.678749 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676714 [46] validation_0-merror:0.3 validation_0-mlogloss:0.676032 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.675803 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679383 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677609 [50] validation_0-merror:0.3 validation_0-mlogloss:0.677864 [51] validation_0-merror:0.3 validation_0-mlogloss:0.680768 [52] validation_0-merror:0.3 validation_0-mlogloss:0.678595 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.675803 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942405 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922801 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907278 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894255 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878844 [9] validation_0-merror:0.4 validation_0-mlogloss:0.864468 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853002 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842457 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832935 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.818956 [14] validation_0-merror:0.4 validation_0-mlogloss:0.8105 [15] validation_0-merror:0.4 validation_0-mlogloss:0.802403 [16] validation_0-merror:0.4 validation_0-mlogloss:0.791081 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784871 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779872 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.772512 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76492 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75989 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761948 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.756476 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752642 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.752155 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746077 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.741283 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.737026 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.735017 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.733734 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.731341 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.728326 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.727616 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726861 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728205 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725372 [37] validation_0-merror:0.35 validation_0-mlogloss:0.727198 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.730473 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727987 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.727509 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.728297 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725372 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.9402 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918846 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904401 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.891229 [9] validation_0-merror:0.35 validation_0-mlogloss:0.88354 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.881678 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.876227 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.862392 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.852944 [14] validation_0-merror:0.35 validation_0-mlogloss:0.839514 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.833423 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.82648 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.820173 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.811068 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.803809 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.798833 [21] validation_0-merror:0.3 validation_0-mlogloss:0.793939 [22] validation_0-merror:0.3 validation_0-mlogloss:0.792221 [23] validation_0-merror:0.3 validation_0-mlogloss:0.786719 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782477 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778088 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.77217 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.770853 [28] validation_0-merror:0.3 validation_0-mlogloss:0.765387 [29] validation_0-merror:0.3 validation_0-mlogloss:0.763538 [30] validation_0-merror:0.3 validation_0-mlogloss:0.763526 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.761217 [32] validation_0-merror:0.3 validation_0-mlogloss:0.759733 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.754573 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.751749 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.752218 [36] validation_0-merror:0.3 validation_0-mlogloss:0.752102 [37] validation_0-merror:0.3 validation_0-mlogloss:0.748713 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.746973 [39] validation_0-merror:0.3 validation_0-mlogloss:0.744218 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.74099 [41] validation_0-merror:0.3 validation_0-mlogloss:0.738586 [42] validation_0-merror:0.3 validation_0-mlogloss:0.738218 [43] validation_0-merror:0.3 validation_0-mlogloss:0.736855 [44] validation_0-merror:0.3 validation_0-mlogloss:0.735796 [45] validation_0-merror:0.3 validation_0-mlogloss:0.73545 [46] validation_0-merror:0.3 validation_0-mlogloss:0.734088 [47] validation_0-merror:0.3 validation_0-mlogloss:0.73221 [48] validation_0-merror:0.3 validation_0-mlogloss:0.731242 [49] validation_0-merror:0.3 validation_0-mlogloss:0.730554 [50] validation_0-merror:0.3 validation_0-mlogloss:0.729801 [51] validation_0-merror:0.3 validation_0-mlogloss:0.72985 [52] validation_0-merror:0.3 validation_0-mlogloss:0.731914 [53] validation_0-merror:0.3 validation_0-mlogloss:0.730381 [54] validation_0-merror:0.3 validation_0-mlogloss:0.733085 [55] validation_0-merror:0.3 validation_0-mlogloss:0.733651 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.729801 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05104 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01001 [2] validation_0-merror:0.3 validation_0-mlogloss:0.975845 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94622 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943124 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913243 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891805 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.875043 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855394 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837121 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.820359 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807013 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794426 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783267 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776613 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771879 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.762335 [17] validation_0-merror:0.3 validation_0-mlogloss:0.750571 [18] validation_0-merror:0.3 validation_0-mlogloss:0.744338 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738919 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.729799 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.724637 [22] validation_0-merror:0.3 validation_0-mlogloss:0.713999 [23] validation_0-merror:0.3 validation_0-mlogloss:0.708029 [24] validation_0-merror:0.3 validation_0-mlogloss:0.703656 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.702871 [26] validation_0-merror:0.3 validation_0-mlogloss:0.696181 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69605 [28] validation_0-merror:0.3 validation_0-mlogloss:0.690982 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.690313 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688282 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684222 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.680646 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679568 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.676044 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673325 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.675717 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.674214 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677872 [39] validation_0-merror:0.3 validation_0-mlogloss:0.674639 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.675501 Stopping. Best iteration: [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673325 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03059 [2] validation_0-merror:0.35 validation_0-mlogloss:0.999463 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96787 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.936007 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915724 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.896006 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88233 [8] validation_0-merror:0.3 validation_0-mlogloss:0.859881 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847014 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83442 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825985 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821344 [13] validation_0-merror:0.35 validation_0-mlogloss:0.811938 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.806452 [15] validation_0-merror:0.35 validation_0-mlogloss:0.796235 [16] validation_0-merror:0.35 validation_0-mlogloss:0.795959 [17] validation_0-merror:0.35 validation_0-mlogloss:0.790956 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.787381 [19] validation_0-merror:0.35 validation_0-mlogloss:0.787961 [20] validation_0-merror:0.35 validation_0-mlogloss:0.785703 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783706 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779443 [23] validation_0-merror:0.35 validation_0-mlogloss:0.774017 [24] validation_0-merror:0.35 validation_0-mlogloss:0.773189 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.770431 [26] validation_0-merror:0.35 validation_0-mlogloss:0.766484 [27] validation_0-merror:0.35 validation_0-mlogloss:0.76376 [28] validation_0-merror:0.35 validation_0-mlogloss:0.767032 [29] validation_0-merror:0.35 validation_0-mlogloss:0.763276 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763669 [31] validation_0-merror:0.35 validation_0-mlogloss:0.767047 [32] validation_0-merror:0.35 validation_0-mlogloss:0.768908 [33] validation_0-merror:0.35 validation_0-mlogloss:0.766244 [34] validation_0-merror:0.35 validation_0-mlogloss:0.766505 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.763276 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06175 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03269 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00129 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.978969 [4] validation_0-merror:0.3 validation_0-mlogloss:0.948835 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.931689 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913479 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898108 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.879656 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867483 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856375 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.841022 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825625 [13] validation_0-merror:0.3 validation_0-mlogloss:0.816905 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800602 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.796129 [16] validation_0-merror:0.3 validation_0-mlogloss:0.791803 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.785337 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.777606 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768553 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.77137 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771356 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767738 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762152 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.75851 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.753897 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749695 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747446 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741538 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737472 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.7411 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743962 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.739408 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.742709 [34] validation_0-merror:0.3 validation_0-mlogloss:0.74235 Stopping. Best iteration: [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737472 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01157 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977814 [3] validation_0-merror:0.4 validation_0-mlogloss:0.947467 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92421 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.904648 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.884441 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.867744 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855993 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838866 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828804 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818398 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809541 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802788 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798748 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.791238 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77717 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772421 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766297 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762789 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75212 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747739 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742953 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.731616 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72577 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719724 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.720933 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.712249 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.713642 [30] validation_0-merror:0.3 validation_0-mlogloss:0.714205 [31] validation_0-merror:0.3 validation_0-mlogloss:0.715726 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715633 [33] validation_0-merror:0.3 validation_0-mlogloss:0.716172 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.711633 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02339 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990442 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957909 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935424 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.915604 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.895184 [7] validation_0-merror:0.4 validation_0-mlogloss:0.880402 [8] validation_0-merror:0.4 validation_0-mlogloss:0.860655 [9] validation_0-merror:0.4 validation_0-mlogloss:0.84984 [10] validation_0-merror:0.4 validation_0-mlogloss:0.839918 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826463 [12] validation_0-merror:0.4 validation_0-mlogloss:0.822536 [13] validation_0-merror:0.4 validation_0-mlogloss:0.814093 [14] validation_0-merror:0.4 validation_0-mlogloss:0.804488 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.795261 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784806 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.782293 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.781027 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773919 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76828 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.761274 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.761487 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.759078 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755337 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.758482 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.751379 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.750573 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748142 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.746687 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746363 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.747585 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.747031 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.746613 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.750923 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.754706 Stopping. Best iteration: [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746363 [0] validation_0-merror:0.45 validation_0-mlogloss:1.0595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.03389 [2] validation_0-merror:0.4 validation_0-mlogloss:0.996558 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964731 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.942958 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92351 [6] validation_0-merror:0.3 validation_0-mlogloss:0.907273 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.89276 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.877482 [9] validation_0-merror:0.3 validation_0-mlogloss:0.866317 [10] validation_0-merror:0.3 validation_0-mlogloss:0.858669 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848569 [12] validation_0-merror:0.3 validation_0-mlogloss:0.8329 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.826238 [14] validation_0-merror:0.3 validation_0-mlogloss:0.815952 [15] validation_0-merror:0.3 validation_0-mlogloss:0.804127 [16] validation_0-merror:0.3 validation_0-mlogloss:0.799486 [17] validation_0-merror:0.3 validation_0-mlogloss:0.79297 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.789668 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.780266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.779694 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.773589 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.772332 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765564 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76385 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.761579 [26] validation_0-merror:0.35 validation_0-mlogloss:0.754216 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.752061 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747653 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746474 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.738908 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.739179 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741515 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.741592 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.74122 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.742004 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736771 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00284 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967918 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.936955 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909614 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889272 [6] validation_0-merror:0.35 validation_0-mlogloss:0.872563 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855737 [8] validation_0-merror:0.35 validation_0-mlogloss:0.842505 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829982 [10] validation_0-merror:0.35 validation_0-mlogloss:0.817192 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807859 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800604 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795757 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788036 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.784446 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776713 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772248 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768737 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.763789 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759225 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758717 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.757218 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755899 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757583 [25] validation_0-merror:0.3 validation_0-mlogloss:0.755556 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753195 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.749023 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749395 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.743943 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.743541 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.74346 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.741953 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.740373 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.735733 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.734588 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.732665 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730454 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.728192 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.724187 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.722692 [41] validation_0-merror:0.3 validation_0-mlogloss:0.720483 [42] validation_0-merror:0.3 validation_0-mlogloss:0.716794 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.717413 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.717057 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.716839 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.713899 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.713491 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.712796 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.713363 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.712682 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.713734 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.716947 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.715859 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.717198 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.717296 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.712682 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04812 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00296 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.965932 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.934266 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907489 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886719 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.869001 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.848628 [8] validation_0-merror:0.35 validation_0-mlogloss:0.834785 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826323 [10] validation_0-merror:0.35 validation_0-mlogloss:0.816756 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8033 [12] validation_0-merror:0.35 validation_0-mlogloss:0.795049 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788519 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.783934 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781664 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774988 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771612 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765488 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.765641 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.763869 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7604 [22] validation_0-merror:0.35 validation_0-mlogloss:0.760542 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755213 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.755349 [25] validation_0-merror:0.35 validation_0-mlogloss:0.756782 [26] validation_0-merror:0.35 validation_0-mlogloss:0.755546 [27] validation_0-merror:0.35 validation_0-mlogloss:0.754695 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753711 [29] validation_0-merror:0.35 validation_0-mlogloss:0.756821 [30] validation_0-merror:0.35 validation_0-mlogloss:0.755424 [31] validation_0-merror:0.35 validation_0-mlogloss:0.755926 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759003 [33] validation_0-merror:0.35 validation_0-mlogloss:0.759881 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.753711 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04513 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00672 [2] validation_0-merror:0.35 validation_0-mlogloss:0.9738 [3] validation_0-merror:0.35 validation_0-mlogloss:0.9445 [4] validation_0-merror:0.35 validation_0-mlogloss:0.920481 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.900329 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.881901 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870213 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8566 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842111 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.83348 [11] validation_0-merror:0.3 validation_0-mlogloss:0.824557 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.822292 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.817244 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.814152 [15] validation_0-merror:0.3 validation_0-mlogloss:0.814138 [16] validation_0-merror:0.3 validation_0-mlogloss:0.813865 [17] validation_0-merror:0.3 validation_0-mlogloss:0.812499 [18] validation_0-merror:0.3 validation_0-mlogloss:0.810448 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807032 [20] validation_0-merror:0.3 validation_0-mlogloss:0.801907 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801146 [22] validation_0-merror:0.3 validation_0-mlogloss:0.799648 [23] validation_0-merror:0.3 validation_0-mlogloss:0.800547 [24] validation_0-merror:0.3 validation_0-mlogloss:0.799634 [25] validation_0-merror:0.3 validation_0-mlogloss:0.800605 [26] validation_0-merror:0.3 validation_0-mlogloss:0.794687 [27] validation_0-merror:0.3 validation_0-mlogloss:0.794751 [28] validation_0-merror:0.3 validation_0-mlogloss:0.792767 [29] validation_0-merror:0.3 validation_0-mlogloss:0.78892 [30] validation_0-merror:0.3 validation_0-mlogloss:0.78944 [31] validation_0-merror:0.3 validation_0-mlogloss:0.787215 [32] validation_0-merror:0.3 validation_0-mlogloss:0.782327 [33] validation_0-merror:0.3 validation_0-mlogloss:0.781446 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.777484 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.778386 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.777928 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.777508 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.778469 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.77751 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.777484 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.023 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98929 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.96207 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939889 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921416 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902364 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.882844 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869826 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.851612 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84095 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824638 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810155 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803558 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796079 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783966 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775313 [17] validation_0-merror:0.3 validation_0-mlogloss:0.770624 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.760312 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753601 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746691 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740721 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731753 [23] validation_0-merror:0.3 validation_0-mlogloss:0.727031 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722804 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.717951 [26] validation_0-merror:0.3 validation_0-mlogloss:0.716552 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713001 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708711 [29] validation_0-merror:0.3 validation_0-mlogloss:0.707651 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703054 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703173 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700878 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698264 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696448 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692759 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694707 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695294 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692719 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690558 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692287 [41] validation_0-merror:0.3 validation_0-mlogloss:0.688065 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685361 [43] validation_0-merror:0.3 validation_0-mlogloss:0.684741 [44] validation_0-merror:0.3 validation_0-mlogloss:0.684266 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.68214 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.681416 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.680406 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.683467 [49] validation_0-merror:0.3 validation_0-mlogloss:0.68241 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.679147 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.682033 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.680178 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.67922 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.67959 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.678892 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.679163 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.677356 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.675418 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.671537 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.671776 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.671982 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.671383 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.670945 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.669749 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.667197 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.666738 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.666992 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.668405 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.667842 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.669696 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.670651 Stopping. Best iteration: [66] validation_0-merror:0.266667 validation_0-mlogloss:0.666738 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05817 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02689 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994916 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.964102 [4] validation_0-merror:0.4 validation_0-mlogloss:0.942405 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922801 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907278 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894255 [8] validation_0-merror:0.4 validation_0-mlogloss:0.878613 [9] validation_0-merror:0.4 validation_0-mlogloss:0.86426 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852778 [11] validation_0-merror:0.35 validation_0-mlogloss:0.841924 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832424 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.81844 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809892 [15] validation_0-merror:0.4 validation_0-mlogloss:0.801776 [16] validation_0-merror:0.4 validation_0-mlogloss:0.79046 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.784227 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779239 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77187 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.764301 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.75926 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761322 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.755857 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.752025 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.751532 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.745444 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.740647 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736365 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.734385 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.73309 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.730703 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.727423 [33] validation_0-merror:0.35 validation_0-mlogloss:0.726746 [34] validation_0-merror:0.35 validation_0-mlogloss:0.725964 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727306 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724436 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726249 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.729504 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.727017 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.726564 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.72739 Stopping. Best iteration: [36] validation_0-merror:0.35 validation_0-mlogloss:0.724436 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0602 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02954 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00448 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976907 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.955616 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.939203 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917829 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.903387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.890208 [9] validation_0-merror:0.35 validation_0-mlogloss:0.882502 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.880635 [11] validation_0-merror:0.4 validation_0-mlogloss:0.875191 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.86135 [13] validation_0-merror:0.4 validation_0-mlogloss:0.851909 [14] validation_0-merror:0.35 validation_0-mlogloss:0.838467 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.832372 [16] validation_0-merror:0.3 validation_0-mlogloss:0.822843 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.81656 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.812409 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80522 [20] validation_0-merror:0.3 validation_0-mlogloss:0.80147 [21] validation_0-merror:0.3 validation_0-mlogloss:0.796682 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.794253 [23] validation_0-merror:0.3 validation_0-mlogloss:0.790197 [24] validation_0-merror:0.3 validation_0-mlogloss:0.786254 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.781906 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.777984 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.778654 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.772839 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771083 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771125 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.768772 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.767357 [33] validation_0-merror:0.3 validation_0-mlogloss:0.762038 [34] validation_0-merror:0.3 validation_0-mlogloss:0.75838 [35] validation_0-merror:0.3 validation_0-mlogloss:0.759909 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.760693 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.757315 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.754722 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.754129 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.750894 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.74853 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.747194 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.745766 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.744668 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.744184 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.742791 [47] validation_0-merror:0.3 validation_0-mlogloss:0.740883 [48] validation_0-merror:0.3 validation_0-mlogloss:0.739951 [49] validation_0-merror:0.3 validation_0-mlogloss:0.739173 [50] validation_0-merror:0.3 validation_0-mlogloss:0.735879 [51] validation_0-merror:0.3 validation_0-mlogloss:0.735987 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.738088 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.736194 [54] validation_0-merror:0.3 validation_0-mlogloss:0.736548 [55] validation_0-merror:0.3 validation_0-mlogloss:0.736547 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.735879 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05321 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02047 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995754 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962628 [4] validation_0-merror:0.3 validation_0-mlogloss:0.94353 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925841 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.9091 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88869 [8] validation_0-merror:0.3 validation_0-mlogloss:0.873153 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.857855 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846938 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833714 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.821698 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.815196 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800435 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.787067 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779196 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.771552 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.766599 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762811 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.755558 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748485 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739977 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734725 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.730856 [25] validation_0-merror:0.3 validation_0-mlogloss:0.720765 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715171 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713765 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714161 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708121 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.702166 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.699416 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.692317 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.689996 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.687338 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.682901 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.682016 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.683321 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.684021 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.684018 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683565 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679467 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678783 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.678946 [44] validation_0-merror:0.3 validation_0-mlogloss:0.675115 [45] validation_0-merror:0.3 validation_0-mlogloss:0.673417 [46] validation_0-merror:0.3 validation_0-mlogloss:0.671777 [47] validation_0-merror:0.3 validation_0-mlogloss:0.666174 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661997 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662949 [50] validation_0-merror:0.25 validation_0-mlogloss:0.661969 [51] validation_0-merror:0.25 validation_0-mlogloss:0.662836 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660908 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.663006 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.662002 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.661195 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.663969 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.661987 Stopping. Best iteration: [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660908 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02414 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995372 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.967106 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.944108 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920582 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904387 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.88731 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.871715 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.853452 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843979 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.838728 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.826416 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.819054 [14] validation_0-merror:0.35 validation_0-mlogloss:0.808133 [15] validation_0-merror:0.35 validation_0-mlogloss:0.798604 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794042 [17] validation_0-merror:0.35 validation_0-mlogloss:0.789143 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781529 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774597 [20] validation_0-merror:0.35 validation_0-mlogloss:0.766472 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758489 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.752521 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.747489 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.74898 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.743106 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735071 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731626 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728716 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.727014 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.727665 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.727004 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722189 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.719802 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.718668 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.718897 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717076 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719977 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718945 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.721059 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.719456 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.720132 Stopping. Best iteration: [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717076 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02647 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997766 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973947 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952206 [5] validation_0-merror:0.3 validation_0-mlogloss:0.93074 [6] validation_0-merror:0.3 validation_0-mlogloss:0.909795 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.892737 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.873362 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863251 [10] validation_0-merror:0.3 validation_0-mlogloss:0.852899 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.8412 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.830499 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.824841 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.81807 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.811723 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.805844 [17] validation_0-merror:0.3 validation_0-mlogloss:0.798924 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.791497 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.786216 [20] validation_0-merror:0.3 validation_0-mlogloss:0.780821 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.77418 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.767834 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.757813 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.750093 [25] validation_0-merror:0.3 validation_0-mlogloss:0.748042 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740617 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.736735 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.729698 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725122 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.722062 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.716717 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.710456 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.710359 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.70818 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.70733 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.699925 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.695509 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.694509 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.692709 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68867 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688949 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.68719 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.686115 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.686656 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.685391 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.684503 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.681888 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679126 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.680993 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.679617 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.679643 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.679788 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.681148 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.679126 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05115 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01325 [2] validation_0-merror:0.4 validation_0-mlogloss:0.98193 [3] validation_0-merror:0.4 validation_0-mlogloss:0.955006 [4] validation_0-merror:0.4 validation_0-mlogloss:0.93031 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.911834 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895944 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881547 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.8685 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.856251 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.8469 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839339 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.831672 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.823979 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.818041 [15] validation_0-merror:0.35 validation_0-mlogloss:0.810131 [16] validation_0-merror:0.35 validation_0-mlogloss:0.805265 [17] validation_0-merror:0.35 validation_0-mlogloss:0.798292 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789359 [19] validation_0-merror:0.35 validation_0-mlogloss:0.780006 [20] validation_0-merror:0.35 validation_0-mlogloss:0.779979 [21] validation_0-merror:0.35 validation_0-mlogloss:0.780359 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.777725 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.773877 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770669 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.764918 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764565 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.764624 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.76284 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761728 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.761078 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.758231 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.757371 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.756781 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.757296 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752063 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.750903 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.750571 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.75217 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.749818 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.74767 [41] validation_0-merror:0.3 validation_0-mlogloss:0.743727 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.744159 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.741802 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.74099 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.736682 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.736939 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.732331 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.73078 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.732555 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.731527 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.729055 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.730715 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.732494 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.733626 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.731645 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.731763 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.729055 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04787 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00745 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.972267 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.942822 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.919927 [5] validation_0-merror:0.4 validation_0-mlogloss:0.899458 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.878128 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861113 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.845759 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.833448 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.822606 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816865 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.811555 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.806758 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.799256 [15] validation_0-merror:0.4 validation_0-mlogloss:0.800035 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.793982 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.786705 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.78601 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782585 [20] validation_0-merror:0.35 validation_0-mlogloss:0.780752 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783633 [22] validation_0-merror:0.35 validation_0-mlogloss:0.781658 [23] validation_0-merror:0.35 validation_0-mlogloss:0.780123 [24] validation_0-merror:0.35 validation_0-mlogloss:0.781046 [25] validation_0-merror:0.35 validation_0-mlogloss:0.776724 [26] validation_0-merror:0.35 validation_0-mlogloss:0.774674 [27] validation_0-merror:0.35 validation_0-mlogloss:0.7773 [28] validation_0-merror:0.35 validation_0-mlogloss:0.777739 [29] validation_0-merror:0.35 validation_0-mlogloss:0.778014 [30] validation_0-merror:0.35 validation_0-mlogloss:0.779481 [31] validation_0-merror:0.35 validation_0-mlogloss:0.779 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.774674 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05152 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01219 [2] validation_0-merror:0.35 validation_0-mlogloss:0.979022 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.950874 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931459 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913099 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.902488 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.88353 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869309 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863503 [10] validation_0-merror:0.35 validation_0-mlogloss:0.852511 [11] validation_0-merror:0.3 validation_0-mlogloss:0.842463 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.833224 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.822989 [14] validation_0-merror:0.3 validation_0-mlogloss:0.824461 [15] validation_0-merror:0.3 validation_0-mlogloss:0.824818 [16] validation_0-merror:0.3 validation_0-mlogloss:0.820648 [17] validation_0-merror:0.3 validation_0-mlogloss:0.817004 [18] validation_0-merror:0.3 validation_0-mlogloss:0.809411 [19] validation_0-merror:0.3 validation_0-mlogloss:0.804876 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.802415 [21] validation_0-merror:0.3 validation_0-mlogloss:0.801991 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.798131 [23] validation_0-merror:0.3 validation_0-mlogloss:0.794939 [24] validation_0-merror:0.3 validation_0-mlogloss:0.791869 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.790573 [26] validation_0-merror:0.3 validation_0-mlogloss:0.78929 [27] validation_0-merror:0.3 validation_0-mlogloss:0.788344 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.781054 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.771087 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.767877 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.765763 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.764078 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.762742 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.76568 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.761754 [36] validation_0-merror:0.3 validation_0-mlogloss:0.762523 [37] validation_0-merror:0.3 validation_0-mlogloss:0.760268 [38] validation_0-merror:0.3 validation_0-mlogloss:0.764068 [39] validation_0-merror:0.3 validation_0-mlogloss:0.767462 [40] validation_0-merror:0.3 validation_0-mlogloss:0.767334 [41] validation_0-merror:0.3 validation_0-mlogloss:0.77104 [42] validation_0-merror:0.3 validation_0-mlogloss:0.769487 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.760268 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05028 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.00931 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.976703 [3] validation_0-merror:0.35 validation_0-mlogloss:0.949546 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946196 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917147 [6] validation_0-merror:0.35 validation_0-mlogloss:0.895443 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883631 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865986 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849052 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831934 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.821885 [12] validation_0-merror:0.3 validation_0-mlogloss:0.809652 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.797747 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.788684 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.784345 [16] validation_0-merror:0.3 validation_0-mlogloss:0.77519 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767127 [18] validation_0-merror:0.3 validation_0-mlogloss:0.764159 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75751 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748327 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742199 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729984 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720497 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.714032 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714884 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709095 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709634 [28] validation_0-merror:0.3 validation_0-mlogloss:0.703631 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703463 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697085 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.692311 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688029 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.687108 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.684868 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.681942 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.682416 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681507 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.681916 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683145 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.681133 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.679756 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.678622 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.678549 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.67653 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676297 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.673388 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.672231 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67176 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67141 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.673089 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.67456 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.674579 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.678744 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.677348 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67141 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06305 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0329 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00019 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.970966 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.943087 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.923461 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.903328 [7] validation_0-merror:0.3 validation_0-mlogloss:0.886698 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.861778 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84958 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837794 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832222 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823358 [13] validation_0-merror:0.35 validation_0-mlogloss:0.814192 [14] validation_0-merror:0.35 validation_0-mlogloss:0.807557 [15] validation_0-merror:0.35 validation_0-mlogloss:0.799179 [16] validation_0-merror:0.35 validation_0-mlogloss:0.79875 [17] validation_0-merror:0.35 validation_0-mlogloss:0.797029 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792105 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790188 [20] validation_0-merror:0.35 validation_0-mlogloss:0.789142 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.785088 [22] validation_0-merror:0.35 validation_0-mlogloss:0.779987 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777034 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779796 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.779672 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.776478 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.777821 [28] validation_0-merror:0.35 validation_0-mlogloss:0.776329 [29] validation_0-merror:0.35 validation_0-mlogloss:0.773293 [30] validation_0-merror:0.35 validation_0-mlogloss:0.77249 [31] validation_0-merror:0.35 validation_0-mlogloss:0.774631 [32] validation_0-merror:0.35 validation_0-mlogloss:0.772926 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.770528 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.771838 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.77383 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.775988 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.780491 [38] validation_0-merror:0.35 validation_0-mlogloss:0.77963 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.770528 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06278 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0284 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997013 [3] validation_0-merror:0.4 validation_0-mlogloss:0.976955 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951175 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.937892 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.927369 [7] validation_0-merror:0.35 validation_0-mlogloss:0.918177 [8] validation_0-merror:0.35 validation_0-mlogloss:0.900608 [9] validation_0-merror:0.35 validation_0-mlogloss:0.888981 [10] validation_0-merror:0.35 validation_0-mlogloss:0.874343 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8611 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.849455 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.840227 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.825826 [15] validation_0-merror:0.3 validation_0-mlogloss:0.823114 [16] validation_0-merror:0.3 validation_0-mlogloss:0.822004 [17] validation_0-merror:0.3 validation_0-mlogloss:0.815123 [18] validation_0-merror:0.3 validation_0-mlogloss:0.804298 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.798839 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.800608 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.796706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.79551 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.789344 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.78648 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.784929 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781736 [27] validation_0-merror:0.35 validation_0-mlogloss:0.780453 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.774853 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.770564 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.768975 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.767914 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.765068 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.764284 [34] validation_0-merror:0.3 validation_0-mlogloss:0.761616 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.763767 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.768481 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.765047 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.764178 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.766577 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.761616 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.02378 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.99292 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.95868 [4] validation_0-merror:0.35 validation_0-mlogloss:0.936184 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.910128 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890493 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871423 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.854464 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837398 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828551 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814792 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802513 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791308 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.77889 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769938 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.757687 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751833 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.747645 [19] validation_0-merror:0.35 validation_0-mlogloss:0.744708 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737396 [21] validation_0-merror:0.35 validation_0-mlogloss:0.731598 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.722942 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7138 [24] validation_0-merror:0.3 validation_0-mlogloss:0.70597 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.701874 [26] validation_0-merror:0.3 validation_0-mlogloss:0.696321 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698058 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.69475 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.682834 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.677193 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.674823 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.671595 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.666926 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.669174 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671961 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671861 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669016 [38] validation_0-merror:0.3 validation_0-mlogloss:0.669669 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.666926 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05823 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.984713 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958783 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.926765 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905215 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882793 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868471 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847057 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.829647 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.818872 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804783 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.793698 [13] validation_0-merror:0.35 validation_0-mlogloss:0.783715 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778729 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767823 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763903 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757629 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.754503 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754573 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754123 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753243 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754935 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755048 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.758327 [25] validation_0-merror:0.35 validation_0-mlogloss:0.757648 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756265 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753243 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05482 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01436 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.978909 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955248 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923517 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905717 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886397 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873629 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853426 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842206 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826489 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820114 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.805294 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798013 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.787103 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790428 [16] validation_0-merror:0.3 validation_0-mlogloss:0.782582 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.780279 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775301 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.77331 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.773998 [21] validation_0-merror:0.3 validation_0-mlogloss:0.776189 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.776205 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.769758 [24] validation_0-merror:0.35 validation_0-mlogloss:0.768934 [25] validation_0-merror:0.35 validation_0-mlogloss:0.773409 [26] validation_0-merror:0.35 validation_0-mlogloss:0.772446 [27] validation_0-merror:0.35 validation_0-mlogloss:0.772637 [28] validation_0-merror:0.35 validation_0-mlogloss:0.770243 [29] validation_0-merror:0.35 validation_0-mlogloss:0.76702 [30] validation_0-merror:0.35 validation_0-mlogloss:0.764749 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761607 [32] validation_0-merror:0.35 validation_0-mlogloss:0.759582 [33] validation_0-merror:0.35 validation_0-mlogloss:0.761417 [34] validation_0-merror:0.35 validation_0-mlogloss:0.762482 [35] validation_0-merror:0.35 validation_0-mlogloss:0.769312 [36] validation_0-merror:0.35 validation_0-mlogloss:0.765296 [37] validation_0-merror:0.35 validation_0-mlogloss:0.759113 [38] validation_0-merror:0.35 validation_0-mlogloss:0.762126 [39] validation_0-merror:0.35 validation_0-mlogloss:0.765147 [40] validation_0-merror:0.35 validation_0-mlogloss:0.772873 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.76977 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.767196 Stopping. Best iteration: [37] validation_0-merror:0.35 validation_0-mlogloss:0.759113 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98389 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957102 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.933361 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894458 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.875597 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.860516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.845637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.829378 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.820117 [12] validation_0-merror:0.35 validation_0-mlogloss:0.809333 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797202 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.790178 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781609 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774166 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.768058 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759536 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753279 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745298 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741313 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73474 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729869 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730926 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726765 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722875 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.72224 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.716456 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712324 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.707787 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703209 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701821 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.698117 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.694443 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694261 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691714 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.68746 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683554 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683267 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.683492 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.681587 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.682911 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681791 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680038 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.681585 [46] validation_0-merror:0.3 validation_0-mlogloss:0.682517 [47] validation_0-merror:0.3 validation_0-mlogloss:0.684728 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.684018 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684835 Stopping. Best iteration: [44] validation_0-merror:0.3 validation_0-mlogloss:0.680038 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05547 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01987 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990724 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963656 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941415 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923077 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907852 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892961 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878687 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.868637 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.854829 [11] validation_0-merror:0.35 validation_0-mlogloss:0.842842 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.83503 [13] validation_0-merror:0.4 validation_0-mlogloss:0.825436 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.819627 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.809435 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.801614 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792741 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.7928 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787746 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.782828 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.776984 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.773407 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770456 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.767431 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763838 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.756227 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.75178 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.748989 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74647 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.74224 [31] validation_0-merror:0.35 validation_0-mlogloss:0.740189 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736037 [33] validation_0-merror:0.35 validation_0-mlogloss:0.731566 [34] validation_0-merror:0.35 validation_0-mlogloss:0.728776 [35] validation_0-merror:0.35 validation_0-mlogloss:0.727354 [36] validation_0-merror:0.35 validation_0-mlogloss:0.724038 [37] validation_0-merror:0.35 validation_0-mlogloss:0.721929 [38] validation_0-merror:0.35 validation_0-mlogloss:0.721823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.719591 [40] validation_0-merror:0.35 validation_0-mlogloss:0.719946 [41] validation_0-merror:0.35 validation_0-mlogloss:0.719262 [42] validation_0-merror:0.35 validation_0-mlogloss:0.717498 [43] validation_0-merror:0.35 validation_0-mlogloss:0.718157 [44] validation_0-merror:0.35 validation_0-mlogloss:0.719328 [45] validation_0-merror:0.35 validation_0-mlogloss:0.717529 [46] validation_0-merror:0.35 validation_0-mlogloss:0.716041 [47] validation_0-merror:0.35 validation_0-mlogloss:0.714319 [48] validation_0-merror:0.35 validation_0-mlogloss:0.713434 [49] validation_0-merror:0.35 validation_0-mlogloss:0.713208 [50] validation_0-merror:0.35 validation_0-mlogloss:0.711666 [51] validation_0-merror:0.35 validation_0-mlogloss:0.710018 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709432 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.708505 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.707427 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.708658 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.707738 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.70808 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [59] validation_0-merror:0.333333 validation_0-mlogloss:0.706968 [60] validation_0-merror:0.333333 validation_0-mlogloss:0.708591 [61] validation_0-merror:0.333333 validation_0-mlogloss:0.707696 [62] validation_0-merror:0.333333 validation_0-mlogloss:0.707573 [63] validation_0-merror:0.333333 validation_0-mlogloss:0.708077 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.706769 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05916 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02611 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994486 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973997 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950669 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.918517 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901938 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890942 [9] validation_0-merror:0.35 validation_0-mlogloss:0.878065 [10] validation_0-merror:0.35 validation_0-mlogloss:0.865067 [11] validation_0-merror:0.35 validation_0-mlogloss:0.8564 [12] validation_0-merror:0.35 validation_0-mlogloss:0.846713 [13] validation_0-merror:0.35 validation_0-mlogloss:0.839065 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.832761 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819538 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.813601 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.806633 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.797196 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.792266 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783326 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.780706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774413 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.77261 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.769116 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765775 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.763464 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758327 [28] validation_0-merror:0.3 validation_0-mlogloss:0.75391 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748226 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74693 [31] validation_0-merror:0.3 validation_0-mlogloss:0.743617 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.740483 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738451 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.734002 [35] validation_0-merror:0.3 validation_0-mlogloss:0.731865 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726533 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722681 [38] validation_0-merror:0.3 validation_0-mlogloss:0.719912 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716573 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71453 [41] validation_0-merror:0.3 validation_0-mlogloss:0.713273 [42] validation_0-merror:0.3 validation_0-mlogloss:0.709358 [43] validation_0-merror:0.3 validation_0-mlogloss:0.706643 [44] validation_0-merror:0.3 validation_0-mlogloss:0.705896 [45] validation_0-merror:0.3 validation_0-mlogloss:0.704493 [46] validation_0-merror:0.3 validation_0-mlogloss:0.703768 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.699454 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.696421 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.695243 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.693727 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.69218 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690546 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.689929 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.689589 [55] validation_0-merror:0.3 validation_0-mlogloss:0.686808 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.685998 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.68354 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.683142 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.680283 [60] validation_0-merror:0.3 validation_0-mlogloss:0.679155 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.679212 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.679036 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.677627 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.677984 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.674838 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.673503 [67] validation_0-merror:0.3 validation_0-mlogloss:0.673549 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.673081 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.672746 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.672723 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.672991 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.672769 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.670048 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.667758 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.668514 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.666152 [77] validation_0-merror:0.266667 validation_0-mlogloss:0.666564 [78] validation_0-merror:0.266667 validation_0-mlogloss:0.667724 [79] validation_0-merror:0.266667 validation_0-mlogloss:0.66833 [80] validation_0-merror:0.266667 validation_0-mlogloss:0.666967 [81] validation_0-merror:0.266667 validation_0-mlogloss:0.666168 Stopping. Best iteration: [76] validation_0-merror:0.266667 validation_0-mlogloss:0.666152 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05751 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02027 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985792 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.955873 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.930529 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.907135 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888814 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.871186 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853071 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840368 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830204 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812492 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799046 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786151 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.776056 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.768972 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.760847 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752135 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746927 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.736463 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.726008 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.721753 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.718248 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.714742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.711582 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.705444 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703319 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.698022 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.697029 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693745 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694164 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692147 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688795 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68539 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.687934 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.687286 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.686266 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.687019 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.689235 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68539 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05265 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01558 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978851 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951762 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924931 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900093 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.881359 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.863634 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.851298 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.84045 [10] validation_0-merror:0.35 validation_0-mlogloss:0.826775 [11] validation_0-merror:0.4 validation_0-mlogloss:0.815211 [12] validation_0-merror:0.4 validation_0-mlogloss:0.810736 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.803558 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797169 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.791215 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790018 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.786269 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779475 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.777363 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775219 [21] validation_0-merror:0.4 validation_0-mlogloss:0.772325 [22] validation_0-merror:0.4 validation_0-mlogloss:0.771709 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.770076 [24] validation_0-merror:0.4 validation_0-mlogloss:0.764827 [25] validation_0-merror:0.4 validation_0-mlogloss:0.763704 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764392 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.766849 [28] validation_0-merror:0.4 validation_0-mlogloss:0.76962 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.768985 [30] validation_0-merror:0.4 validation_0-mlogloss:0.767606 Stopping. Best iteration: [25] validation_0-merror:0.4 validation_0-mlogloss:0.763704 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06331 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02692 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991321 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959568 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.929181 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.907468 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883927 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.867833 [8] validation_0-merror:0.3 validation_0-mlogloss:0.850556 [9] validation_0-merror:0.3 validation_0-mlogloss:0.840533 [10] validation_0-merror:0.3 validation_0-mlogloss:0.831527 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822277 [12] validation_0-merror:0.3 validation_0-mlogloss:0.813721 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805836 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791809 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788837 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.779887 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.771567 [18] validation_0-merror:0.3 validation_0-mlogloss:0.770444 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.761247 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.760477 [21] validation_0-merror:0.3 validation_0-mlogloss:0.760657 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755233 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748448 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739838 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738766 [26] validation_0-merror:0.3 validation_0-mlogloss:0.73663 [27] validation_0-merror:0.3 validation_0-mlogloss:0.733756 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.730096 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.727361 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726143 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.72611 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.725686 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721211 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.723807 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72667 [36] validation_0-merror:0.3 validation_0-mlogloss:0.729062 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.728956 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.726561 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.721211 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04962 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00896 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978064 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.948923 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925776 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907375 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888654 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868434 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851202 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.83331 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823399 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806614 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.796491 [13] validation_0-merror:0.3 validation_0-mlogloss:0.789237 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782162 [15] validation_0-merror:0.3 validation_0-mlogloss:0.772236 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765837 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.762403 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.755597 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.750639 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.742823 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.734695 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731929 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.730573 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.724785 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.720042 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.717011 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.712787 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71084 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713556 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.71215 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714567 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.713451 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.715037 Stopping. Best iteration: [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71084 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04706 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.970751 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.934102 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.914714 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901882 [6] validation_0-merror:0.4 validation_0-mlogloss:0.879351 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.861255 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.845025 [9] validation_0-merror:0.4 validation_0-mlogloss:0.832816 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.820272 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.811488 [12] validation_0-merror:0.4 validation_0-mlogloss:0.805742 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.798493 [14] validation_0-merror:0.4 validation_0-mlogloss:0.78609 [15] validation_0-merror:0.4 validation_0-mlogloss:0.781881 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777619 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.770692 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764305 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.76038 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.760001 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757922 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.763385 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.761322 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.763424 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.76492 [26] validation_0-merror:0.35 validation_0-mlogloss:0.764851 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757922 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05133 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01452 [2] validation_0-merror:0.3 validation_0-mlogloss:0.981403 [3] validation_0-merror:0.3 validation_0-mlogloss:0.947747 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.926934 [5] validation_0-merror:0.3 validation_0-mlogloss:0.909607 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.885187 [7] validation_0-merror:0.3 validation_0-mlogloss:0.868356 [8] validation_0-merror:0.3 validation_0-mlogloss:0.853522 [9] validation_0-merror:0.3 validation_0-mlogloss:0.847506 [10] validation_0-merror:0.3 validation_0-mlogloss:0.838643 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.833196 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.824079 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.823146 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.809921 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.79951 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788785 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.781005 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.777618 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.76848 [20] validation_0-merror:0.25 validation_0-mlogloss:0.761826 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.76234 [22] validation_0-merror:0.25 validation_0-mlogloss:0.757191 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.755154 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.758426 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.759558 [26] validation_0-merror:0.3 validation_0-mlogloss:0.7606 [27] validation_0-merror:0.3 validation_0-mlogloss:0.760078 [28] validation_0-merror:0.3 validation_0-mlogloss:0.760998 Stopping. Best iteration: [23] validation_0-merror:0.283333 validation_0-mlogloss:0.755154 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05463 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01756 [2] validation_0-merror:0.35 validation_0-mlogloss:0.986296 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958132 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.934568 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915419 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897506 [7] validation_0-merror:0.35 validation_0-mlogloss:0.876489 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865152 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848719 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838916 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829314 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820507 [13] validation_0-merror:0.35 validation_0-mlogloss:0.81147 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799488 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787961 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781379 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773113 [18] validation_0-merror:0.35 validation_0-mlogloss:0.768718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762154 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.756477 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754098 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748429 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740165 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736057 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.735847 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.732936 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.728779 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.723923 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722462 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719185 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716109 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711252 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.710719 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.705955 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.701866 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.697962 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693837 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.693793 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.694409 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691793 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.692556 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.692885 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.694284 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.693123 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692034 Stopping. Best iteration: [40] validation_0-merror:0.316667 validation_0-mlogloss:0.691793 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01855 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989064 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961772 [4] validation_0-merror:0.35 validation_0-mlogloss:0.940064 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.919515 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903489 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88863 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873529 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.863457 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848874 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839976 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.828067 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.821968 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.810682 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.80288 [16] validation_0-merror:0.4 validation_0-mlogloss:0.797696 [17] validation_0-merror:0.4 validation_0-mlogloss:0.792869 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785622 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77898 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.776549 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771142 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.76483 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764943 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760447 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.756985 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.751344 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750132 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.744629 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.742231 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.737797 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.731992 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.727863 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.725023 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.722149 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.720304 [36] validation_0-merror:0.35 validation_0-mlogloss:0.717653 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.715135 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.713195 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.712992 [40] validation_0-merror:0.35 validation_0-mlogloss:0.71051 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709105 [42] validation_0-merror:0.35 validation_0-mlogloss:0.709139 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.70744 [44] validation_0-merror:0.35 validation_0-mlogloss:0.707242 [45] validation_0-merror:0.35 validation_0-mlogloss:0.706729 [46] validation_0-merror:0.35 validation_0-mlogloss:0.705764 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.705223 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704272 [49] validation_0-merror:0.35 validation_0-mlogloss:0.704964 [50] validation_0-merror:0.35 validation_0-mlogloss:0.706182 [51] validation_0-merror:0.35 validation_0-mlogloss:0.705065 [52] validation_0-merror:0.366667 validation_0-mlogloss:0.707399 [53] validation_0-merror:0.366667 validation_0-mlogloss:0.707409 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.704272 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05873 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02659 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994819 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950898 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935575 [6] validation_0-merror:0.35 validation_0-mlogloss:0.917964 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907377 [8] validation_0-merror:0.35 validation_0-mlogloss:0.890409 [9] validation_0-merror:0.35 validation_0-mlogloss:0.877987 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.870411 [11] validation_0-merror:0.35 validation_0-mlogloss:0.857516 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.844253 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.836424 [14] validation_0-merror:0.35 validation_0-mlogloss:0.830658 [15] validation_0-merror:0.35 validation_0-mlogloss:0.823036 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811803 [17] validation_0-merror:0.35 validation_0-mlogloss:0.806304 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.798579 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.793226 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.785752 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.781131 [22] validation_0-merror:0.3 validation_0-mlogloss:0.776397 [23] validation_0-merror:0.3 validation_0-mlogloss:0.773624 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.76895 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.766098 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.762808 [27] validation_0-merror:0.3 validation_0-mlogloss:0.759108 [28] validation_0-merror:0.3 validation_0-mlogloss:0.754129 [29] validation_0-merror:0.3 validation_0-mlogloss:0.751482 [30] validation_0-merror:0.3 validation_0-mlogloss:0.747848 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.745534 [32] validation_0-merror:0.3 validation_0-mlogloss:0.740972 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.739629 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.737075 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.734075 [36] validation_0-merror:0.3 validation_0-mlogloss:0.72653 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722909 [38] validation_0-merror:0.3 validation_0-mlogloss:0.721157 [39] validation_0-merror:0.3 validation_0-mlogloss:0.716794 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714101 [41] validation_0-merror:0.3 validation_0-mlogloss:0.711859 [42] validation_0-merror:0.3 validation_0-mlogloss:0.711586 [43] validation_0-merror:0.3 validation_0-mlogloss:0.708509 [44] validation_0-merror:0.3 validation_0-mlogloss:0.707837 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.705725 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.704082 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.701479 [48] validation_0-merror:0.3 validation_0-mlogloss:0.700158 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698771 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.700101 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.700381 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.698229 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.69733 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.698853 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.699286 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.698076 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.698945 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.696587 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.694931 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.69417 [61] validation_0-merror:0.3 validation_0-mlogloss:0.69301 [62] validation_0-merror:0.316667 validation_0-mlogloss:0.689381 [63] validation_0-merror:0.3 validation_0-mlogloss:0.687874 [64] validation_0-merror:0.3 validation_0-mlogloss:0.692816 [65] validation_0-merror:0.3 validation_0-mlogloss:0.694814 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.694543 [67] validation_0-merror:0.3 validation_0-mlogloss:0.695916 [68] validation_0-merror:0.3 validation_0-mlogloss:0.694334 Stopping. Best iteration: [63] validation_0-merror:0.3 validation_0-mlogloss:0.687874 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02126 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987607 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957727 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938391 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915381 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.89566 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.877049 [8] validation_0-merror:0.3 validation_0-mlogloss:0.862081 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844777 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833446 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.815798 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80223 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.791698 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.783859 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773604 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766649 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763302 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753992 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.748354 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741825 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732602 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72137 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.715615 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708167 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.704963 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.701903 [27] validation_0-merror:0.3 validation_0-mlogloss:0.697124 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.690584 [29] validation_0-merror:0.3 validation_0-mlogloss:0.689635 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.684491 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.683718 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.679739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.679553 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.677364 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.671714 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671943 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669091 [38] validation_0-merror:0.3 validation_0-mlogloss:0.665411 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662756 [40] validation_0-merror:0.3 validation_0-mlogloss:0.66268 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65893 [42] validation_0-merror:0.3 validation_0-mlogloss:0.656993 [43] validation_0-merror:0.3 validation_0-mlogloss:0.656516 [44] validation_0-merror:0.3 validation_0-mlogloss:0.652469 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651939 [46] validation_0-merror:0.3 validation_0-mlogloss:0.65383 [47] validation_0-merror:0.3 validation_0-mlogloss:0.652088 [48] validation_0-merror:0.3 validation_0-mlogloss:0.65405 [49] validation_0-merror:0.3 validation_0-mlogloss:0.652893 [50] validation_0-merror:0.3 validation_0-mlogloss:0.65126 [51] validation_0-merror:0.3 validation_0-mlogloss:0.654442 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649168 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.653097 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654706 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.654175 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.655108 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.652903 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.649168 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05546 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02395 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992694 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959635 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.939869 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.922923 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.901291 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.890537 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.879516 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.865606 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852578 [11] validation_0-merror:0.4 validation_0-mlogloss:0.841058 [12] validation_0-merror:0.4 validation_0-mlogloss:0.830073 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.820154 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.809705 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.800433 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.789962 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.785311 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.777948 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.771938 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.766046 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.758796 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757954 [23] validation_0-merror:0.35 validation_0-mlogloss:0.756001 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.753812 [25] validation_0-merror:0.35 validation_0-mlogloss:0.752516 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.746214 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.742054 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741922 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.740236 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.739434 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.737695 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.735922 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.73319 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.730957 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.728613 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.726453 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.721913 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.726055 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.721929 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.722634 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.724304 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.724039 Stopping. Best iteration: [37] validation_0-merror:0.366667 validation_0-mlogloss:0.721913 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03007 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00499 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975868 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952913 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936704 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.914921 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900157 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.884397 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.874682 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.868935 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.863068 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.850358 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.834583 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.81799 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.80646 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.802578 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793252 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786268 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.773408 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768337 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764725 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.75295 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747332 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.742827 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736993 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.732429 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.729698 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.726446 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.719418 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.716556 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.713765 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.711036 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.70954 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.711321 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.704929 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.701486 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.69983 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.699749 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.697004 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.694443 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.694985 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.694757 [44] validation_0-merror:0.3 validation_0-mlogloss:0.694214 [45] validation_0-merror:0.3 validation_0-mlogloss:0.690075 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691491 [47] validation_0-merror:0.3 validation_0-mlogloss:0.690946 [48] validation_0-merror:0.3 validation_0-mlogloss:0.689556 [49] validation_0-merror:0.3 validation_0-mlogloss:0.687539 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.684396 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.68314 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.68213 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.681307 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.680958 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.67819 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.676759 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.679525 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.680951 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.678941 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.678917 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.678238 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.676759 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05446 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02768 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998338 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971385 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.96248 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91934 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.901949 [8] validation_0-merror:0.35 validation_0-mlogloss:0.884681 [9] validation_0-merror:0.35 validation_0-mlogloss:0.863714 [10] validation_0-merror:0.35 validation_0-mlogloss:0.849352 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833769 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.820668 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80755 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797713 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.795514 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.782982 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771612 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.768504 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.763721 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753045 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745823 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.742335 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73751 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726592 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.726742 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.719852 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.7174 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.711217 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.709538 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.706674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.702317 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.700886 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.698686 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698161 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693917 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.694171 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692936 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.695082 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.69433 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.696863 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.697474 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697363 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.692936 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06457 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04173 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00733 [3] validation_0-merror:0.35 validation_0-mlogloss:0.98166 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.947489 [5] validation_0-merror:0.4 validation_0-mlogloss:0.929201 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911095 [7] validation_0-merror:0.4 validation_0-mlogloss:0.894554 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.877953 [9] validation_0-merror:0.4 validation_0-mlogloss:0.862431 [10] validation_0-merror:0.4 validation_0-mlogloss:0.845043 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.833365 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.826923 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.817986 [14] validation_0-merror:0.4 validation_0-mlogloss:0.811658 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80397 [16] validation_0-merror:0.4 validation_0-mlogloss:0.798754 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788959 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783437 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.775331 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772498 [21] validation_0-merror:0.4 validation_0-mlogloss:0.767896 [22] validation_0-merror:0.4 validation_0-mlogloss:0.766339 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764006 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762623 [25] validation_0-merror:0.4 validation_0-mlogloss:0.760678 [26] validation_0-merror:0.4 validation_0-mlogloss:0.759464 [27] validation_0-merror:0.4 validation_0-mlogloss:0.757083 [28] validation_0-merror:0.4 validation_0-mlogloss:0.753841 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.752895 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.752866 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74976 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.74878 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.749212 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.751475 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.748841 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.746407 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.745701 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.74605 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.745976 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.743813 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740602 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740706 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.740636 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.73936 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.736908 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.737745 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.73402 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.734953 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.734937 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.730774 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.732167 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.730311 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.731145 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.736927 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.73625 [57] validation_0-merror:0.383333 validation_0-mlogloss:0.734949 Stopping. Best iteration: [52] validation_0-merror:0.383333 validation_0-mlogloss:0.730311 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0657 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03649 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997903 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.976761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954021 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928689 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.912406 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.898859 [8] validation_0-merror:0.3 validation_0-mlogloss:0.880971 [9] validation_0-merror:0.3 validation_0-mlogloss:0.868459 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849276 [11] validation_0-merror:0.3 validation_0-mlogloss:0.836091 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824579 [13] validation_0-merror:0.3 validation_0-mlogloss:0.8104 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799276 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797463 [16] validation_0-merror:0.3 validation_0-mlogloss:0.792392 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.787166 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.779901 [19] validation_0-merror:0.3 validation_0-mlogloss:0.775901 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.769736 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764621 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.764083 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757556 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756927 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.754749 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.750111 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.742197 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740711 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.736144 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.73252 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.729124 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.72818 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.727565 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.72556 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.723896 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.718151 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.718954 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.715486 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.713489 [40] validation_0-merror:0.3 validation_0-mlogloss:0.707091 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.705091 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.706194 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702077 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698018 [45] validation_0-merror:0.3 validation_0-mlogloss:0.693377 [46] validation_0-merror:0.3 validation_0-mlogloss:0.693885 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.694639 [48] validation_0-merror:0.3 validation_0-mlogloss:0.692909 [49] validation_0-merror:0.3 validation_0-mlogloss:0.694311 [50] validation_0-merror:0.3 validation_0-mlogloss:0.690506 [51] validation_0-merror:0.3 validation_0-mlogloss:0.688811 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684899 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.686236 [54] validation_0-merror:0.3 validation_0-mlogloss:0.690761 [55] validation_0-merror:0.3 validation_0-mlogloss:0.689355 [56] validation_0-merror:0.3 validation_0-mlogloss:0.689763 [57] validation_0-merror:0.3 validation_0-mlogloss:0.687914 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.684899 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972639 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964555 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.938156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919305 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904021 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887284 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870465 [10] validation_0-merror:0.4 validation_0-mlogloss:0.859862 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844928 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831485 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815095 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812968 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80069 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788928 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783221 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76031 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752812 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7493 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739199 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740064 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733548 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [28] validation_0-merror:0.3 validation_0-mlogloss:0.725033 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721862 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716111 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711207 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711786 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70819 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707156 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7074 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704083 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707038 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704937 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.708234 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.704285 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701627 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.696899 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.698038 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.695907 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697822 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695936 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [49] validation_0-merror:0.3 validation_0-mlogloss:0.698698 [50] validation_0-merror:0.3 validation_0-mlogloss:0.698993 [51] validation_0-merror:0.3 validation_0-mlogloss:0.702585 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.703602 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.703442 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04297 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982471 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950579 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930601 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912368 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893735 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87568 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859966 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842686 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833959 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829296 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82016 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813224 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806181 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800177 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794883 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787202 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775524 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76834 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766956 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765279 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.76444 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761343 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759745 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757836 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754714 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752507 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752502 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749353 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747138 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746323 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748018 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750223 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.745648 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749624 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749421 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.748463 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.745499 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.742384 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.743051 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.742577 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.743042 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.743674 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.743435 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748033 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747086 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911602 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8983 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883418 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870832 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837061 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82408 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797392 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795548 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78884 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782301 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.768802 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765972 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759306 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750695 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747612 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737814 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736958 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732947 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72815 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722253 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721421 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706613 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706971 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.708223 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706233 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705341 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698163 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696036 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69226 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686393 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683997 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685793 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681404 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67977 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678228 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678334 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681006 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682115 [50] validation_0-merror:0.3 validation_0-mlogloss:0.678277 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01294 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9861 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957684 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951177 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924554 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906688 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887225 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.869968 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.849382 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.835382 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822132 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808042 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.797465 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789159 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.784503 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77453 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.763234 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758702 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753415 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744775 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740881 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729606 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721789 [24] validation_0-merror:0.3 validation_0-mlogloss:0.712731 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710168 [26] validation_0-merror:0.3 validation_0-mlogloss:0.704337 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704907 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70229 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700486 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.696824 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691653 [32] validation_0-merror:0.3 validation_0-mlogloss:0.688386 [33] validation_0-merror:0.3 validation_0-mlogloss:0.686438 [34] validation_0-merror:0.3 validation_0-mlogloss:0.684222 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67785 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676672 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672436 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674473 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672415 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674432 [41] validation_0-merror:0.3 validation_0-mlogloss:0.67034 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670262 [43] validation_0-merror:0.3 validation_0-mlogloss:0.669409 [44] validation_0-merror:0.3 validation_0-mlogloss:0.667518 [45] validation_0-merror:0.3 validation_0-mlogloss:0.664751 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.664377 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.663816 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662062 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659084 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.659733 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.661655 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660974 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.662287 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664138 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.659084 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06353 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02989 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.998805 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.96932 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941237 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923203 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.907653 [7] validation_0-merror:0.4 validation_0-mlogloss:0.891517 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.870373 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854097 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.841414 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830489 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824906 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815244 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810019 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799568 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.79647 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.790819 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785537 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.781604 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.777249 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.771176 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766319 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.764586 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76612 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.763898 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.759469 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.755066 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75332 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749161 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.750849 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.751552 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.751457 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.752548 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.752283 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.749161 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03873 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00892 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.981404 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.960432 [5] validation_0-merror:0.3 validation_0-mlogloss:0.937604 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.91775 [7] validation_0-merror:0.35 validation_0-mlogloss:0.904703 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.887132 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.869258 [10] validation_0-merror:0.3 validation_0-mlogloss:0.856381 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.84438 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831714 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820275 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810733 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.804576 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.799516 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.792133 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.786111 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.776494 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.773951 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.771073 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765285 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.758916 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759159 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752324 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.750225 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744008 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741241 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737714 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739674 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.733177 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728269 [33] validation_0-merror:0.3 validation_0-mlogloss:0.730015 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725984 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726855 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726047 [37] validation_0-merror:0.3 validation_0-mlogloss:0.725507 [38] validation_0-merror:0.3 validation_0-mlogloss:0.723938 [39] validation_0-merror:0.3 validation_0-mlogloss:0.725382 [40] validation_0-merror:0.3 validation_0-mlogloss:0.719969 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718334 [42] validation_0-merror:0.3 validation_0-mlogloss:0.718605 [43] validation_0-merror:0.3 validation_0-mlogloss:0.718168 [44] validation_0-merror:0.3 validation_0-mlogloss:0.719615 [45] validation_0-merror:0.3 validation_0-mlogloss:0.716693 [46] validation_0-merror:0.3 validation_0-mlogloss:0.711875 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711324 [48] validation_0-merror:0.3 validation_0-mlogloss:0.71098 [49] validation_0-merror:0.3 validation_0-mlogloss:0.714851 [50] validation_0-merror:0.3 validation_0-mlogloss:0.709647 [51] validation_0-merror:0.3 validation_0-mlogloss:0.711173 [52] validation_0-merror:0.3 validation_0-mlogloss:0.709291 [53] validation_0-merror:0.3 validation_0-mlogloss:0.708602 [54] validation_0-merror:0.3 validation_0-mlogloss:0.712462 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.711687 [56] validation_0-merror:0.3 validation_0-mlogloss:0.709523 [57] validation_0-merror:0.3 validation_0-mlogloss:0.707712 [58] validation_0-merror:0.3 validation_0-mlogloss:0.707865 [59] validation_0-merror:0.3 validation_0-mlogloss:0.708799 [60] validation_0-merror:0.3 validation_0-mlogloss:0.712394 [61] validation_0-merror:0.3 validation_0-mlogloss:0.716426 [62] validation_0-merror:0.3 validation_0-mlogloss:0.720349 Stopping. Best iteration: [57] validation_0-merror:0.3 validation_0-mlogloss:0.707712 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.058 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0228 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.996423 [3] validation_0-merror:0.4 validation_0-mlogloss:0.961755 [4] validation_0-merror:0.4 validation_0-mlogloss:0.952762 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.927651 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.906666 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892754 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875811 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857486 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845124 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834618 [12] validation_0-merror:0.3 validation_0-mlogloss:0.819838 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809269 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.802258 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802466 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.789129 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779399 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772907 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767219 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757697 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747651 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.740506 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732297 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723723 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723713 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.714544 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.710433 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.706731 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700621 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.692721 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.690003 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.685902 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.680029 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678994 [35] validation_0-merror:0.3 validation_0-mlogloss:0.676293 [36] validation_0-merror:0.3 validation_0-mlogloss:0.672834 [37] validation_0-merror:0.3 validation_0-mlogloss:0.665667 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667003 [39] validation_0-merror:0.3 validation_0-mlogloss:0.662315 [40] validation_0-merror:0.3 validation_0-mlogloss:0.666123 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666755 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66512 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.665964 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665591 Stopping. Best iteration: [39] validation_0-merror:0.3 validation_0-mlogloss:0.662315 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06125 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03608 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997516 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.971139 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935974 [5] validation_0-merror:0.35 validation_0-mlogloss:0.91452 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.893281 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87614 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858531 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.844742 [10] validation_0-merror:0.3 validation_0-mlogloss:0.828983 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818126 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.813794 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805475 [14] validation_0-merror:0.35 validation_0-mlogloss:0.799016 [15] validation_0-merror:0.35 validation_0-mlogloss:0.787264 [16] validation_0-merror:0.35 validation_0-mlogloss:0.785607 [17] validation_0-merror:0.35 validation_0-mlogloss:0.780802 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779438 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772345 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772657 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.766427 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765758 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762053 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.764132 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76236 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.758237 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754593 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.749106 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.746862 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744242 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.744606 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.746534 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.746519 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.75249 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.749054 Stopping. Best iteration: [30] validation_0-merror:0.316667 validation_0-mlogloss:0.744242 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06148 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.03724 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.995145 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972525 [4] validation_0-merror:0.3 validation_0-mlogloss:0.93675 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.915449 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904349 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.891631 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.872309 [9] validation_0-merror:0.35 validation_0-mlogloss:0.858044 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840009 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831777 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.820725 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.806014 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789916 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78277 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774842 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772281 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.761691 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.752965 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751233 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746187 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739238 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.731951 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729585 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724172 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715673 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709201 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.707047 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.703684 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.701385 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.701487 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700153 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702249 [34] validation_0-merror:0.3 validation_0-mlogloss:0.705034 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.710312 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70578 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.705919 Stopping. Best iteration: [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700153 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05083 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01259 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979138 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.950866 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.928139 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906804 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.88449 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86616 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.846423 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829971 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.817639 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.804522 [12] validation_0-merror:0.3 validation_0-mlogloss:0.794603 [13] validation_0-merror:0.3 validation_0-mlogloss:0.787243 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.780866 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.769702 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.761635 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.7605 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752951 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750319 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.741676 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.739845 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733613 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.725743 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72178 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.718768 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.716716 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712547 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.709257 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709168 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706983 [31] validation_0-merror:0.3 validation_0-mlogloss:0.705847 [32] validation_0-merror:0.3 validation_0-mlogloss:0.704941 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70678 [34] validation_0-merror:0.3 validation_0-mlogloss:0.706968 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705085 [36] validation_0-merror:0.3 validation_0-mlogloss:0.70419 [37] validation_0-merror:0.3 validation_0-mlogloss:0.70861 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.70615 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.704418 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.704828 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.703808 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701346 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.703931 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.701579 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.701446 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.702661 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.703029 Stopping. Best iteration: [43] validation_0-merror:0.266667 validation_0-mlogloss:0.700941 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05653 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01951 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.984397 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953788 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930788 [5] validation_0-merror:0.4 validation_0-mlogloss:0.914746 [6] validation_0-merror:0.4 validation_0-mlogloss:0.899766 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.888898 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.876851 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.861386 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.847849 [11] validation_0-merror:0.4 validation_0-mlogloss:0.840007 [12] validation_0-merror:0.4 validation_0-mlogloss:0.831393 [13] validation_0-merror:0.4 validation_0-mlogloss:0.82198 [14] validation_0-merror:0.4 validation_0-mlogloss:0.814526 [15] validation_0-merror:0.4 validation_0-mlogloss:0.810371 [16] validation_0-merror:0.4 validation_0-mlogloss:0.803497 [17] validation_0-merror:0.4 validation_0-mlogloss:0.796845 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.790139 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.787124 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.785787 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.780292 [22] validation_0-merror:0.4 validation_0-mlogloss:0.781966 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.776749 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.778089 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.779684 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.771768 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.77183 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.772561 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.772268 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.772562 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.774144 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.769831 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939901 [5] validation_0-merror:0.3 validation_0-mlogloss:0.92368 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90348 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885852 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875063 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.867492 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.85298 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843626 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.832658 [13] validation_0-merror:0.3 validation_0-mlogloss:0.827671 [14] validation_0-merror:0.3 validation_0-mlogloss:0.819471 [15] validation_0-merror:0.3 validation_0-mlogloss:0.814867 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.811693 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.808987 [18] validation_0-merror:0.3 validation_0-mlogloss:0.8037 [19] validation_0-merror:0.3 validation_0-mlogloss:0.79 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.787315 [21] validation_0-merror:0.3 validation_0-mlogloss:0.788292 [22] validation_0-merror:0.3 validation_0-mlogloss:0.781994 [23] validation_0-merror:0.3 validation_0-mlogloss:0.77641 [24] validation_0-merror:0.3 validation_0-mlogloss:0.777675 [25] validation_0-merror:0.3 validation_0-mlogloss:0.778229 [26] validation_0-merror:0.3 validation_0-mlogloss:0.772706 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.771505 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.774441 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.771279 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.770089 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.766873 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.764292 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.762754 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.76498 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.765435 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.768553 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.766406 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.767547 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.761561 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0474 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01178 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.980343 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.944344 [4] validation_0-merror:0.3 validation_0-mlogloss:0.923011 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.89424 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.870643 [7] validation_0-merror:0.3 validation_0-mlogloss:0.850495 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.833068 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.817348 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.804866 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.789602 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.779838 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.767097 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.758616 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.747416 [16] validation_0-merror:0.3 validation_0-mlogloss:0.738338 [17] validation_0-merror:0.3 validation_0-mlogloss:0.730058 [18] validation_0-merror:0.3 validation_0-mlogloss:0.727296 [19] validation_0-merror:0.3 validation_0-mlogloss:0.725934 [20] validation_0-merror:0.3 validation_0-mlogloss:0.719701 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.715762 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.709668 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.708294 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.706845 [25] validation_0-merror:0.3 validation_0-mlogloss:0.706207 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.699859 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.700479 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700798 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.699791 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695847 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.695553 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.691176 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690836 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.691147 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.691917 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.691201 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.695043 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.69498 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690836 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0518 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00588 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.973747 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.939191 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.913414 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.884904 [6] validation_0-merror:0.3 validation_0-mlogloss:0.866099 [7] validation_0-merror:0.3 validation_0-mlogloss:0.847891 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.824927 [9] validation_0-merror:0.3 validation_0-mlogloss:0.810365 [10] validation_0-merror:0.3 validation_0-mlogloss:0.803668 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798124 [12] validation_0-merror:0.3 validation_0-mlogloss:0.789326 [13] validation_0-merror:0.3 validation_0-mlogloss:0.782623 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.779588 [15] validation_0-merror:0.3 validation_0-mlogloss:0.771875 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769932 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763679 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756482 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752027 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745345 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746383 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741365 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.740891 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.745418 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.741509 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740237 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741291 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.741257 [29] validation_0-merror:0.3 validation_0-mlogloss:0.740352 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.741172 [31] validation_0-merror:0.35 validation_0-mlogloss:0.746951 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740237 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0522 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01511 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982565 [3] validation_0-merror:0.35 validation_0-mlogloss:0.963391 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938486 [5] validation_0-merror:0.35 validation_0-mlogloss:0.918672 [6] validation_0-merror:0.3 validation_0-mlogloss:0.898792 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.887565 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.864844 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.854209 [10] validation_0-merror:0.3 validation_0-mlogloss:0.848005 [11] validation_0-merror:0.3 validation_0-mlogloss:0.832651 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.821279 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.80901 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.797636 [15] validation_0-merror:0.3 validation_0-mlogloss:0.792566 [16] validation_0-merror:0.3 validation_0-mlogloss:0.790278 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7816 [18] validation_0-merror:0.3 validation_0-mlogloss:0.775272 [19] validation_0-merror:0.3 validation_0-mlogloss:0.768903 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763701 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764339 [22] validation_0-merror:0.3 validation_0-mlogloss:0.758311 [23] validation_0-merror:0.3 validation_0-mlogloss:0.754679 [24] validation_0-merror:0.3 validation_0-mlogloss:0.749739 [25] validation_0-merror:0.3 validation_0-mlogloss:0.750709 [26] validation_0-merror:0.3 validation_0-mlogloss:0.750872 [27] validation_0-merror:0.3 validation_0-mlogloss:0.748192 [28] validation_0-merror:0.3 validation_0-mlogloss:0.745443 [29] validation_0-merror:0.3 validation_0-mlogloss:0.739883 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738107 [31] validation_0-merror:0.3 validation_0-mlogloss:0.741411 [32] validation_0-merror:0.3 validation_0-mlogloss:0.739259 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.741462 [34] validation_0-merror:0.3 validation_0-mlogloss:0.738709 [35] validation_0-merror:0.3 validation_0-mlogloss:0.742231 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.738107 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04967 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0046 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.971434 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.939245 [4] validation_0-merror:0.3 validation_0-mlogloss:0.914761 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.893059 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.875114 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.860335 [8] validation_0-merror:0.3 validation_0-mlogloss:0.845551 [9] validation_0-merror:0.3 validation_0-mlogloss:0.833209 [10] validation_0-merror:0.3 validation_0-mlogloss:0.82302 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.814265 [12] validation_0-merror:0.3 validation_0-mlogloss:0.80294 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797786 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790638 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783357 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773083 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76578 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759076 [19] validation_0-merror:0.3 validation_0-mlogloss:0.756942 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.753329 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749788 [22] validation_0-merror:0.3 validation_0-mlogloss:0.751283 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74661 [24] validation_0-merror:0.3 validation_0-mlogloss:0.743652 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.74504 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.742262 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.740592 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740963 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.741593 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.740241 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740078 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.740174 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.741753 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.744004 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.744063 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.747117 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.740078 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04752 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00655 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.970633 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.938982 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.914326 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.890585 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.872613 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.856682 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838205 [9] validation_0-merror:0.4 validation_0-mlogloss:0.825456 [10] validation_0-merror:0.4 validation_0-mlogloss:0.813195 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.799063 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.796754 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789369 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785943 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.780963 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779362 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.777825 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774037 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775568 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.775579 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.774246 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.777869 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772142 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773466 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.778103 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774682 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.776332 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.778658 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.772142 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04838 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00959 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976829 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94484 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917021 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.891561 [6] validation_0-merror:0.35 validation_0-mlogloss:0.876595 [7] validation_0-merror:0.35 validation_0-mlogloss:0.85969 [8] validation_0-merror:0.35 validation_0-mlogloss:0.84644 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.835896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.824684 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819867 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.816277 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.811934 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.808928 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806135 [16] validation_0-merror:0.35 validation_0-mlogloss:0.803432 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802783 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.804279 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.807165 [20] validation_0-merror:0.35 validation_0-mlogloss:0.807978 [21] validation_0-merror:0.35 validation_0-mlogloss:0.809308 [22] validation_0-merror:0.35 validation_0-mlogloss:0.811656 Stopping. Best iteration: [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802783 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05087 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.01291 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986075 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.957666 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951163 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.924552 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.906555 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.887541 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.870264 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.850973 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.836084 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822873 [12] validation_0-merror:0.3 validation_0-mlogloss:0.808811 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799108 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790053 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78563 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776376 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764783 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759485 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754391 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.745566 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.740862 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.72866 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720918 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711945 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709259 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702884 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702999 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700311 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699165 [30] validation_0-merror:0.3 validation_0-mlogloss:0.696031 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690857 [32] validation_0-merror:0.3 validation_0-mlogloss:0.687703 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684501 [34] validation_0-merror:0.3 validation_0-mlogloss:0.683425 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678119 [36] validation_0-merror:0.3 validation_0-mlogloss:0.675835 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672577 [38] validation_0-merror:0.3 validation_0-mlogloss:0.674549 [39] validation_0-merror:0.3 validation_0-mlogloss:0.672518 [40] validation_0-merror:0.3 validation_0-mlogloss:0.674634 [41] validation_0-merror:0.3 validation_0-mlogloss:0.670596 [42] validation_0-merror:0.3 validation_0-mlogloss:0.670838 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.670158 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.668301 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.665535 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665333 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.664537 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.662989 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.660111 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.660814 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.663073 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.662428 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.66321 [54] validation_0-merror:0.3 validation_0-mlogloss:0.664925 Stopping. Best iteration: [49] validation_0-merror:0.283333 validation_0-mlogloss:0.660111 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06325 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02888 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998047 [3] validation_0-merror:0.35 validation_0-mlogloss:0.967664 [4] validation_0-merror:0.35 validation_0-mlogloss:0.93985 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.922295 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.90694 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891517 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869827 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853677 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.840981 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829354 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.823859 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.812922 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.806965 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799016 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795451 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.788776 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783508 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779616 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775685 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.770242 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766693 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.763076 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764455 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761719 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.757293 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.753319 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.7513 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.747894 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.749485 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749875 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747836 [33] validation_0-merror:0.35 validation_0-mlogloss:0.748827 [34] validation_0-merror:0.35 validation_0-mlogloss:0.748645 [35] validation_0-merror:0.35 validation_0-mlogloss:0.748423 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.749199 [37] validation_0-merror:0.35 validation_0-mlogloss:0.751388 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747836 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03758 [2] validation_0-merror:0.316667 validation_0-mlogloss:1.00713 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979684 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.958748 [5] validation_0-merror:0.3 validation_0-mlogloss:0.935964 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.916192 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.903202 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.88656 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.868668 [10] validation_0-merror:0.3 validation_0-mlogloss:0.855773 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.843898 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831214 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.819749 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.809787 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.803766 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.79874 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790731 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.784751 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.775131 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.772815 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.769707 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.763582 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.7571 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.757272 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750813 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749958 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.744222 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.741212 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.737079 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739318 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73245 [32] validation_0-merror:0.3 validation_0-mlogloss:0.727988 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729662 [34] validation_0-merror:0.3 validation_0-mlogloss:0.725519 [35] validation_0-merror:0.3 validation_0-mlogloss:0.726566 [36] validation_0-merror:0.3 validation_0-mlogloss:0.722812 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722182 [38] validation_0-merror:0.3 validation_0-mlogloss:0.718385 [39] validation_0-merror:0.3 validation_0-mlogloss:0.719909 [40] validation_0-merror:0.3 validation_0-mlogloss:0.714609 [41] validation_0-merror:0.3 validation_0-mlogloss:0.714011 [42] validation_0-merror:0.3 validation_0-mlogloss:0.714622 [43] validation_0-merror:0.3 validation_0-mlogloss:0.714552 [44] validation_0-merror:0.3 validation_0-mlogloss:0.715948 [45] validation_0-merror:0.3 validation_0-mlogloss:0.712888 [46] validation_0-merror:0.3 validation_0-mlogloss:0.708154 [47] validation_0-merror:0.3 validation_0-mlogloss:0.707626 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710459 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.715212 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.710101 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.711872 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.710169 Stopping. Best iteration: [47] validation_0-merror:0.3 validation_0-mlogloss:0.707626 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0233 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.996704 [3] validation_0-merror:0.45 validation_0-mlogloss:0.962015 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.953261 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.928013 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.908452 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.892874 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874828 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855256 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.843001 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.831904 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817182 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.802758 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802002 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788981 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.77944 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772425 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766628 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754879 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745251 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736621 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728362 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721814 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.721846 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.710993 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705416 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.700705 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693757 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.684123 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.679534 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.675156 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.669372 [34] validation_0-merror:0.3 validation_0-mlogloss:0.668815 [35] validation_0-merror:0.3 validation_0-mlogloss:0.666743 [36] validation_0-merror:0.3 validation_0-mlogloss:0.663897 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.657818 [38] validation_0-merror:0.3 validation_0-mlogloss:0.659063 [39] validation_0-merror:0.3 validation_0-mlogloss:0.654449 [40] validation_0-merror:0.3 validation_0-mlogloss:0.657836 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65804 [42] validation_0-merror:0.3 validation_0-mlogloss:0.655942 [43] validation_0-merror:0.3 validation_0-mlogloss:0.654604 [44] validation_0-merror:0.3 validation_0-mlogloss:0.653602 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651951 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.649287 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.647363 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.649506 [49] validation_0-merror:0.3 validation_0-mlogloss:0.65179 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.651062 [51] validation_0-merror:0.3 validation_0-mlogloss:0.653763 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653382 Stopping. Best iteration: [47] validation_0-merror:0.316667 validation_0-mlogloss:0.647363 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05977 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03476 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994928 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968505 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935257 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913253 [6] validation_0-merror:0.3 validation_0-mlogloss:0.891491 [7] validation_0-merror:0.35 validation_0-mlogloss:0.873853 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855339 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840505 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826185 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.814046 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809637 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801146 [14] validation_0-merror:0.35 validation_0-mlogloss:0.794619 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783723 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.782169 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.78101 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.778973 [19] validation_0-merror:0.35 validation_0-mlogloss:0.770279 [20] validation_0-merror:0.35 validation_0-mlogloss:0.771222 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764553 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.764661 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760895 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.76459 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762742 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758723 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755403 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.749801 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.747601 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747042 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.748093 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.750031 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.749841 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.755888 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.752557 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.747042 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.283333 validation_0-mlogloss:1.03305 [2] validation_0-merror:0.216667 validation_0-mlogloss:0.99152 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.967728 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932072 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908885 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.896399 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883408 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864274 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849271 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83049 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820268 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.805762 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791452 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.776198 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.770561 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.762398 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.759824 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749091 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.739954 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.736968 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.733857 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.726904 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.71915 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.71889 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716759 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.708274 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702061 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700532 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695403 [30] validation_0-merror:0.3 validation_0-mlogloss:0.692901 [31] validation_0-merror:0.3 validation_0-mlogloss:0.693274 [32] validation_0-merror:0.3 validation_0-mlogloss:0.694806 [33] validation_0-merror:0.3 validation_0-mlogloss:0.699824 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.701757 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.707122 Stopping. Best iteration: [30] validation_0-merror:0.3 validation_0-mlogloss:0.692901 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02496 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998763 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.965218 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944513 [5] validation_0-merror:0.3 validation_0-mlogloss:0.920399 [6] validation_0-merror:0.3 validation_0-mlogloss:0.901523 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885842 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.865485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852847 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842449 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82766 [12] validation_0-merror:0.3 validation_0-mlogloss:0.815737 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808209 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796061 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781833 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773846 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76329 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759566 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748486 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742803 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.733742 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72693 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718211 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.711928 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705198 [27] validation_0-merror:0.3 validation_0-mlogloss:0.703151 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699906 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.691985 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.688949 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.685004 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.680844 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.680004 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.68006 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.68186 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.681799 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.676315 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.675992 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.673862 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67006 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.66973 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664759 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.664335 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.665333 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664082 [46] validation_0-merror:0.25 validation_0-mlogloss:0.665663 [47] validation_0-merror:0.25 validation_0-mlogloss:0.661705 [48] validation_0-merror:0.25 validation_0-mlogloss:0.660094 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.664328 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.661897 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.66709 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.667153 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.669201 Stopping. Best iteration: [48] validation_0-merror:0.25 validation_0-mlogloss:0.660094 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05716 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9857 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960764 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.933283 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.912794 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.892119 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.874686 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.857947 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840138 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.826236 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.813742 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.798427 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79209 [14] validation_0-merror:0.35 validation_0-mlogloss:0.786537 [15] validation_0-merror:0.35 validation_0-mlogloss:0.77761 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773709 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767393 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765581 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.762178 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.759453 [21] validation_0-merror:0.35 validation_0-mlogloss:0.754169 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.754989 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.752589 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75506 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.750224 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743638 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.738791 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.733774 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.73609 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.73743 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735407 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.734959 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.730424 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.732774 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.73355 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.727141 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728933 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.72823 [39] validation_0-merror:0.35 validation_0-mlogloss:0.72446 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.724424 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.720822 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.719949 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.71564 [44] validation_0-merror:0.35 validation_0-mlogloss:0.717871 [45] validation_0-merror:0.35 validation_0-mlogloss:0.71893 [46] validation_0-merror:0.35 validation_0-mlogloss:0.725298 [47] validation_0-merror:0.35 validation_0-mlogloss:0.725351 [48] validation_0-merror:0.35 validation_0-mlogloss:0.726085 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.71564 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06252 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02418 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990121 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966782 [4] validation_0-merror:0.3 validation_0-mlogloss:0.941027 [5] validation_0-merror:0.3 validation_0-mlogloss:0.918044 [6] validation_0-merror:0.3 validation_0-mlogloss:0.896848 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.880657 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.864328 [9] validation_0-merror:0.3 validation_0-mlogloss:0.85096 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.832307 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.821503 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81062 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.793255 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78472 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781833 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773133 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767838 [18] validation_0-merror:0.3 validation_0-mlogloss:0.757262 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750612 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747985 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.741256 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736934 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727849 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726378 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.72425 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.721865 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720266 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715872 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709834 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703318 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697473 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69227 [33] validation_0-merror:0.3 validation_0-mlogloss:0.694726 [34] validation_0-merror:0.3 validation_0-mlogloss:0.692043 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691857 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.683621 [37] validation_0-merror:0.3 validation_0-mlogloss:0.68059 [38] validation_0-merror:0.3 validation_0-mlogloss:0.679016 [39] validation_0-merror:0.3 validation_0-mlogloss:0.677673 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678169 [41] validation_0-merror:0.3 validation_0-mlogloss:0.673696 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673216 [43] validation_0-merror:0.3 validation_0-mlogloss:0.668324 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.664713 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.664434 [46] validation_0-merror:0.3 validation_0-mlogloss:0.666162 [47] validation_0-merror:0.3 validation_0-mlogloss:0.663991 [48] validation_0-merror:0.3 validation_0-mlogloss:0.663308 [49] validation_0-merror:0.3 validation_0-mlogloss:0.662975 [50] validation_0-merror:0.3 validation_0-mlogloss:0.660804 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660804 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656654 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.658047 [54] validation_0-merror:0.3 validation_0-mlogloss:0.662507 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.66025 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.657942 [57] validation_0-merror:0.3 validation_0-mlogloss:0.657301 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.656654 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01052 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977855 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951682 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.929663 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909241 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.888031 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86923 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85063 [9] validation_0-merror:0.4 validation_0-mlogloss:0.83298 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.82064 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804888 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.792431 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.786163 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782807 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774283 [16] validation_0-merror:0.35 validation_0-mlogloss:0.764839 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.75956 [18] validation_0-merror:0.3 validation_0-mlogloss:0.74863 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746956 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.737963 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.731914 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.724006 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.72002 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.714137 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.715751 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714812 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.708843 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.707196 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.70627 [30] validation_0-merror:0.25 validation_0-mlogloss:0.705118 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.705102 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.703829 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.704573 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.706332 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.703705 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.707743 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.70489 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.702498 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.701937 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.702443 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.701864 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.700001 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.70055 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.703643 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.704358 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.703578 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.703407 Stopping. Best iteration: [42] validation_0-merror:0.266667 validation_0-mlogloss:0.700001 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04959 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01519 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980915 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.945639 [4] validation_0-merror:0.35 validation_0-mlogloss:0.922503 [5] validation_0-merror:0.4 validation_0-mlogloss:0.901156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885609 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.876466 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.863884 [9] validation_0-merror:0.4 validation_0-mlogloss:0.850232 [10] validation_0-merror:0.4 validation_0-mlogloss:0.833803 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826195 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.81877 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.809581 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797695 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.790572 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.784098 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.779767 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.772463 [19] validation_0-merror:0.35 validation_0-mlogloss:0.765784 [20] validation_0-merror:0.35 validation_0-mlogloss:0.76509 [21] validation_0-merror:0.35 validation_0-mlogloss:0.763253 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768114 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762889 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76032 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.765168 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.760934 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.760768 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.763132 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.764917 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.76032 [0] validation_0-merror:0.4 validation_0-mlogloss:1.0548 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01454 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985477 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.954951 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.936736 [5] validation_0-merror:0.3 validation_0-mlogloss:0.921607 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900822 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.885648 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875233 [9] validation_0-merror:0.3 validation_0-mlogloss:0.869453 [10] validation_0-merror:0.3 validation_0-mlogloss:0.865431 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.858649 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.849421 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.845615 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.833321 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.823393 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.813688 [17] validation_0-merror:0.3 validation_0-mlogloss:0.803768 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.800458 [19] validation_0-merror:0.3 validation_0-mlogloss:0.789323 [20] validation_0-merror:0.3 validation_0-mlogloss:0.786059 [21] validation_0-merror:0.3 validation_0-mlogloss:0.783872 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.776839 [23] validation_0-merror:0.3 validation_0-mlogloss:0.771912 [24] validation_0-merror:0.3 validation_0-mlogloss:0.77044 [25] validation_0-merror:0.3 validation_0-mlogloss:0.769127 [26] validation_0-merror:0.3 validation_0-mlogloss:0.767738 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767492 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.769155 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.771037 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.771024 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.770823 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767492 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05358 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02012 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987592 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962154 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930433 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.903767 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.884688 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.875211 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85969 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845663 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834777 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8199 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.799782 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.783686 [14] validation_0-merror:0.3 validation_0-mlogloss:0.772538 [15] validation_0-merror:0.3 validation_0-mlogloss:0.765963 [16] validation_0-merror:0.3 validation_0-mlogloss:0.756428 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.74649 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.739045 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.729408 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.724004 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.719715 [22] validation_0-merror:0.35 validation_0-mlogloss:0.714827 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.710564 [24] validation_0-merror:0.3 validation_0-mlogloss:0.705707 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.699391 [26] validation_0-merror:0.3 validation_0-mlogloss:0.693612 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.688437 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.685658 [30] validation_0-merror:0.3 validation_0-mlogloss:0.681886 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.677714 [32] validation_0-merror:0.3 validation_0-mlogloss:0.673605 [33] validation_0-merror:0.3 validation_0-mlogloss:0.669638 [34] validation_0-merror:0.3 validation_0-mlogloss:0.663663 [35] validation_0-merror:0.3 validation_0-mlogloss:0.663346 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.663671 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.66425 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.664766 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.66501 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.66678 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.663346 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05466 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.0278 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996363 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.974581 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.948123 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.925204 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899929 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.888736 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.880006 [10] validation_0-merror:0.35 validation_0-mlogloss:0.867305 [11] validation_0-merror:0.35 validation_0-mlogloss:0.849409 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.834798 [13] validation_0-merror:0.35 validation_0-mlogloss:0.821923 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815059 [15] validation_0-merror:0.35 validation_0-mlogloss:0.806191 [16] validation_0-merror:0.35 validation_0-mlogloss:0.796262 [17] validation_0-merror:0.35 validation_0-mlogloss:0.791766 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789362 [19] validation_0-merror:0.35 validation_0-mlogloss:0.783706 [20] validation_0-merror:0.35 validation_0-mlogloss:0.782909 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.780158 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.77886 [23] validation_0-merror:0.35 validation_0-mlogloss:0.776328 [24] validation_0-merror:0.35 validation_0-mlogloss:0.775683 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.773751 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.777452 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772754 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.773044 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.773686 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.777243 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.779198 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.779035 Stopping. Best iteration: [27] validation_0-merror:0.366667 validation_0-mlogloss:0.772754 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06223 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03286 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00049 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.981795 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957162 [5] validation_0-merror:0.35 validation_0-mlogloss:0.929954 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911073 [7] validation_0-merror:0.35 validation_0-mlogloss:0.894887 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.874696 [9] validation_0-merror:0.35 validation_0-mlogloss:0.857985 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841975 [11] validation_0-merror:0.3 validation_0-mlogloss:0.825328 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.805911 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.793269 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785834 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77619 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.766133 [17] validation_0-merror:0.3 validation_0-mlogloss:0.757687 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752552 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744723 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743305 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743357 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738231 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730075 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723878 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719687 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.71636 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.71136 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.70721 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.705056 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.706901 [31] validation_0-merror:0.35 validation_0-mlogloss:0.708148 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.701966 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.699511 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.696597 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694648 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.698692 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.701374 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.698717 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.696614 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.694914 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.694648 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05004 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00364 [2] validation_0-merror:0.3 validation_0-mlogloss:0.969367 [3] validation_0-merror:0.3 validation_0-mlogloss:0.935169 [4] validation_0-merror:0.3 validation_0-mlogloss:0.910969 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887086 [6] validation_0-merror:0.3 validation_0-mlogloss:0.869165 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.854079 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.842157 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.831369 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.824253 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.814489 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.8084 [13] validation_0-merror:0.25 validation_0-mlogloss:0.802012 [14] validation_0-merror:0.25 validation_0-mlogloss:0.794852 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.790112 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.784047 [17] validation_0-merror:0.25 validation_0-mlogloss:0.778651 [18] validation_0-merror:0.233333 validation_0-mlogloss:0.775596 [19] validation_0-merror:0.233333 validation_0-mlogloss:0.770084 [20] validation_0-merror:0.233333 validation_0-mlogloss:0.769193 [21] validation_0-merror:0.233333 validation_0-mlogloss:0.764492 [22] validation_0-merror:0.233333 validation_0-mlogloss:0.760707 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.75911 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.757964 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.757463 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.757312 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.756741 [28] validation_0-merror:0.233333 validation_0-mlogloss:0.756437 [29] validation_0-merror:0.233333 validation_0-mlogloss:0.758194 [30] validation_0-merror:0.233333 validation_0-mlogloss:0.760599 [31] validation_0-merror:0.216667 validation_0-mlogloss:0.762986 [32] validation_0-merror:0.216667 validation_0-mlogloss:0.76431 [33] validation_0-merror:0.216667 validation_0-mlogloss:0.764806 Stopping. Best iteration: [28] validation_0-merror:0.233333 validation_0-mlogloss:0.756437 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0487 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00843 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.971291 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.939222 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.915326 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.894138 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.873171 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86037 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.847723 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.837394 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.827033 [11] validation_0-merror:0.35 validation_0-mlogloss:0.814944 [12] validation_0-merror:0.35 validation_0-mlogloss:0.807197 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795246 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793752 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.790701 [16] validation_0-merror:0.35 validation_0-mlogloss:0.792987 [17] validation_0-merror:0.35 validation_0-mlogloss:0.788107 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.786824 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.78328 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.78192 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776882 [22] validation_0-merror:0.35 validation_0-mlogloss:0.780036 [23] validation_0-merror:0.35 validation_0-mlogloss:0.779771 [24] validation_0-merror:0.35 validation_0-mlogloss:0.784628 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.782394 [26] validation_0-merror:0.35 validation_0-mlogloss:0.78787 Stopping. Best iteration: [21] validation_0-merror:0.333333 validation_0-mlogloss:0.776882 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04838 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00959 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976829 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.94484 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.917021 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.891941 [6] validation_0-merror:0.35 validation_0-mlogloss:0.876981 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.860498 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845817 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.832188 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822773 [11] validation_0-merror:0.35 validation_0-mlogloss:0.817657 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814499 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80933 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.80627 [15] validation_0-merror:0.35 validation_0-mlogloss:0.808027 [16] validation_0-merror:0.35 validation_0-mlogloss:0.799881 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.793244 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79047 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790879 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.794267 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.797932 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.801092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.804712 Stopping. Best iteration: [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79047 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05582 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00127 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965521 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.943955 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921273 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899859 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882451 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867067 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852006 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839394 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825836 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.815939 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.809792 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.795383 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781021 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772485 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76518 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759683 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758893 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.7515 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746268 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736339 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.729159 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724967 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718739 [26] validation_0-merror:0.3 validation_0-mlogloss:0.712602 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.711817 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.710605 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708832 [30] validation_0-merror:0.3 validation_0-mlogloss:0.704942 [31] validation_0-merror:0.3 validation_0-mlogloss:0.700045 [32] validation_0-merror:0.3 validation_0-mlogloss:0.691419 [33] validation_0-merror:0.3 validation_0-mlogloss:0.689062 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686854 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682951 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.680737 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6771 [38] validation_0-merror:0.3 validation_0-mlogloss:0.678127 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.67301 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.673074 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.669505 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.667806 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.668898 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.668089 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.66883 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.667587 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.662095 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660207 [49] validation_0-merror:0.3 validation_0-mlogloss:0.658947 [50] validation_0-merror:0.3 validation_0-mlogloss:0.658593 [51] validation_0-merror:0.3 validation_0-mlogloss:0.658751 [52] validation_0-merror:0.3 validation_0-mlogloss:0.656848 [53] validation_0-merror:0.3 validation_0-mlogloss:0.660024 [54] validation_0-merror:0.3 validation_0-mlogloss:0.66016 [55] validation_0-merror:0.3 validation_0-mlogloss:0.657544 [56] validation_0-merror:0.3 validation_0-mlogloss:0.66063 [57] validation_0-merror:0.3 validation_0-mlogloss:0.659573 Stopping. Best iteration: [52] validation_0-merror:0.3 validation_0-mlogloss:0.656848 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02394 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.996354 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967445 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.944089 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922056 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90547 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88792 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870896 [9] validation_0-merror:0.3 validation_0-mlogloss:0.852236 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.844283 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.8379 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.826424 [13] validation_0-merror:0.35 validation_0-mlogloss:0.820545 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.810681 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.802726 [16] validation_0-merror:0.35 validation_0-mlogloss:0.798938 [17] validation_0-merror:0.35 validation_0-mlogloss:0.793157 [18] validation_0-merror:0.35 validation_0-mlogloss:0.786537 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.781946 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.771598 [21] validation_0-merror:0.35 validation_0-mlogloss:0.769048 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761976 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7572 [24] validation_0-merror:0.35 validation_0-mlogloss:0.758451 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751916 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.744877 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743954 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7399 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739768 [30] validation_0-merror:0.35 validation_0-mlogloss:0.738991 [31] validation_0-merror:0.35 validation_0-mlogloss:0.737369 [32] validation_0-merror:0.35 validation_0-mlogloss:0.736258 [33] validation_0-merror:0.35 validation_0-mlogloss:0.733886 [34] validation_0-merror:0.35 validation_0-mlogloss:0.732719 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731826 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.728224 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.729199 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.728467 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.731097 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.729128 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.730125 Stopping. Best iteration: [36] validation_0-merror:0.366667 validation_0-mlogloss:0.728224 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02956 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00085 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97775 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956649 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.935587 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.913474 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898758 [8] validation_0-merror:0.35 validation_0-mlogloss:0.879096 [9] validation_0-merror:0.35 validation_0-mlogloss:0.868878 [10] validation_0-merror:0.35 validation_0-mlogloss:0.856627 [11] validation_0-merror:0.35 validation_0-mlogloss:0.845175 [12] validation_0-merror:0.35 validation_0-mlogloss:0.834391 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.828499 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820393 [15] validation_0-merror:0.35 validation_0-mlogloss:0.814187 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807177 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.79878 [18] validation_0-merror:0.3 validation_0-mlogloss:0.790505 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.788095 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.78434 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.783352 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775629 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.765039 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.761674 [25] validation_0-merror:0.35 validation_0-mlogloss:0.755484 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.748029 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.74498 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.736768 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.733925 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.734127 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.731452 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724789 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.725846 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.719153 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.718522 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715883 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.711694 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.709851 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.709331 [40] validation_0-merror:0.3 validation_0-mlogloss:0.703598 [41] validation_0-merror:0.3 validation_0-mlogloss:0.70269 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.700309 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703124 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.703303 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.698729 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697438 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.695739 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.695534 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.698552 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.697743 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.696398 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.695451 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.69695 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.699644 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.694188 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689145 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.688155 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.688407 [59] validation_0-merror:0.3 validation_0-mlogloss:0.689218 [60] validation_0-merror:0.3 validation_0-mlogloss:0.691557 [61] validation_0-merror:0.3 validation_0-mlogloss:0.693805 [62] validation_0-merror:0.3 validation_0-mlogloss:0.696332 Stopping. Best iteration: [57] validation_0-merror:0.333333 validation_0-mlogloss:0.688155 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06586 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03794 [2] validation_0-merror:0.416667 validation_0-mlogloss:1.00958 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.97925 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957714 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.929205 [6] validation_0-merror:0.35 validation_0-mlogloss:0.912377 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.894361 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.876652 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861531 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84937 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.837884 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827083 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817181 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.807158 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.796098 [16] validation_0-merror:0.3 validation_0-mlogloss:0.786344 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776099 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.771758 [19] validation_0-merror:0.3 validation_0-mlogloss:0.76715 [20] validation_0-merror:0.3 validation_0-mlogloss:0.75838 [21] validation_0-merror:0.3 validation_0-mlogloss:0.751871 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745727 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.738618 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.729386 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728666 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.724575 [27] validation_0-merror:0.3 validation_0-mlogloss:0.721783 [28] validation_0-merror:0.3 validation_0-mlogloss:0.717789 [29] validation_0-merror:0.3 validation_0-mlogloss:0.711486 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704782 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.701918 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702778 [34] validation_0-merror:0.3 validation_0-mlogloss:0.701642 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70391 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.702613 [37] validation_0-merror:0.3 validation_0-mlogloss:0.701546 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701766 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69999 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.697793 [41] validation_0-merror:0.3 validation_0-mlogloss:0.696139 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.6934 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.69333 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.695028 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.692525 [46] validation_0-merror:0.3 validation_0-mlogloss:0.694693 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692574 [48] validation_0-merror:0.3 validation_0-mlogloss:0.691598 [49] validation_0-merror:0.3 validation_0-mlogloss:0.695092 [50] validation_0-merror:0.3 validation_0-mlogloss:0.693227 [51] validation_0-merror:0.3 validation_0-mlogloss:0.696141 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.694974 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.696672 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.691598 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02075 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987031 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.96022 [4] validation_0-merror:0.3 validation_0-mlogloss:0.932139 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.911389 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.890669 [7] validation_0-merror:0.35 validation_0-mlogloss:0.872865 [8] validation_0-merror:0.35 validation_0-mlogloss:0.855305 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838742 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823702 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811277 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799423 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790891 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786157 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.777413 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772624 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.766662 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.765377 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758864 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754841 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749257 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748924 [23] validation_0-merror:0.35 validation_0-mlogloss:0.746326 [24] validation_0-merror:0.35 validation_0-mlogloss:0.748307 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743285 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.739744 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734125 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730992 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.730978 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.730617 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727652 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.727726 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724338 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728331 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731821 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.725672 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.728694 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.728399 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724338 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06617 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02796 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.994569 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.972002 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949225 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.92622 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.903872 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.886134 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.87136 [9] validation_0-merror:0.3 validation_0-mlogloss:0.859379 [10] validation_0-merror:0.3 validation_0-mlogloss:0.840754 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829014 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.817506 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80225 [14] validation_0-merror:0.3 validation_0-mlogloss:0.79236 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.790747 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.783252 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.776314 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767582 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761308 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757934 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753662 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749549 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737421 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73486 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.735315 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.734956 [27] validation_0-merror:0.35 validation_0-mlogloss:0.733287 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.729976 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.733191 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.726492 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.721628 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.716917 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.719894 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.716782 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721577 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.717705 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.715708 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.711653 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.714669 [40] validation_0-merror:0.35 validation_0-mlogloss:0.712606 [41] validation_0-merror:0.35 validation_0-mlogloss:0.709092 [42] validation_0-merror:0.35 validation_0-mlogloss:0.709825 [43] validation_0-merror:0.35 validation_0-mlogloss:0.705656 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.70266 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.699279 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.703081 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.700518 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.697049 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.699666 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.698951 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.6972 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.692541 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.694387 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.702978 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.701739 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.701069 [57] validation_0-merror:0.333333 validation_0-mlogloss:0.7011 Stopping. Best iteration: [52] validation_0-merror:0.316667 validation_0-mlogloss:0.692541 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0561 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02353 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99316 [3] validation_0-merror:0.3 validation_0-mlogloss:0.967449 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.940747 [5] validation_0-merror:0.35 validation_0-mlogloss:0.915751 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.898048 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.887791 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868167 [9] validation_0-merror:0.4 validation_0-mlogloss:0.858411 [10] validation_0-merror:0.35 validation_0-mlogloss:0.847015 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829493 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810512 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.799866 [14] validation_0-merror:0.35 validation_0-mlogloss:0.788566 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778378 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768248 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759897 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749063 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738707 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.732581 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.728418 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.722747 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720158 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.715829 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.709726 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.702949 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.699343 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.698362 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.693111 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.689641 [31] validation_0-merror:0.35 validation_0-mlogloss:0.685712 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.683708 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.681945 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.680509 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.679752 [36] validation_0-merror:0.35 validation_0-mlogloss:0.678183 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.677291 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.674271 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.674709 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.675173 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.674106 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.676117 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.67773 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.677358 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.678345 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.677979 Stopping. Best iteration: [41] validation_0-merror:0.333333 validation_0-mlogloss:0.674106 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05911 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03197 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00006 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.982317 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.957563 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.936442 [6] validation_0-merror:0.4 validation_0-mlogloss:0.920296 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.911998 [8] validation_0-merror:0.35 validation_0-mlogloss:0.900035 [9] validation_0-merror:0.35 validation_0-mlogloss:0.886779 [10] validation_0-merror:0.35 validation_0-mlogloss:0.877099 [11] validation_0-merror:0.35 validation_0-mlogloss:0.862568 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.848309 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.836842 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.829544 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818957 [16] validation_0-merror:0.35 validation_0-mlogloss:0.812408 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.81104 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.805085 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.800021 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.794718 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.79083 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.786112 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.782424 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.78153 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.780252 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.780297 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.780934 [28] validation_0-merror:0.35 validation_0-mlogloss:0.779439 [29] validation_0-merror:0.35 validation_0-mlogloss:0.779038 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.78236 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.784922 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.783651 [33] validation_0-merror:0.35 validation_0-mlogloss:0.785776 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.785067 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.779038 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06378 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03316 [2] validation_0-merror:0.35 validation_0-mlogloss:0.99985 [3] validation_0-merror:0.35 validation_0-mlogloss:0.980318 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.95735 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934288 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.92002 [7] validation_0-merror:0.35 validation_0-mlogloss:0.906274 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.885921 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.868797 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.851911 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.836586 [12] validation_0-merror:0.3 validation_0-mlogloss:0.818562 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.80593 [14] validation_0-merror:0.3 validation_0-mlogloss:0.798289 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786192 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.77314 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765414 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759478 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752118 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748331 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747726 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.742472 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.736527 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.72913 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723704 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721137 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.717473 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.712907 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.71074 [30] validation_0-merror:0.3 validation_0-mlogloss:0.710488 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712009 [32] validation_0-merror:0.3 validation_0-mlogloss:0.708727 [33] validation_0-merror:0.3 validation_0-mlogloss:0.707487 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703397 [35] validation_0-merror:0.3 validation_0-mlogloss:0.70082 [36] validation_0-merror:0.3 validation_0-mlogloss:0.702812 [37] validation_0-merror:0.3 validation_0-mlogloss:0.7059 [38] validation_0-merror:0.3 validation_0-mlogloss:0.704318 [39] validation_0-merror:0.3 validation_0-mlogloss:0.703656 [40] validation_0-merror:0.3 validation_0-mlogloss:0.702346 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.70082 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05701 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02463 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994724 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970629 [4] validation_0-merror:0.35 validation_0-mlogloss:0.942185 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.91669 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.900661 [7] validation_0-merror:0.35 validation_0-mlogloss:0.888344 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.867216 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.856443 [10] validation_0-merror:0.35 validation_0-mlogloss:0.841279 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824984 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.807063 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793404 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785088 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776509 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76696 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763008 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.751919 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743677 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73467 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.732236 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.727542 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722477 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719045 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714965 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.708747 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.705381 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.704977 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700391 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.70019 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698202 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69834 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.696702 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.696398 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.695428 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.695307 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.694549 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69362 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693136 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.69607 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.695064 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.697312 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.697425 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.699592 Stopping. Best iteration: [39] validation_0-merror:0.316667 validation_0-mlogloss:0.693136 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05837 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03028 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00092 [3] validation_0-merror:0.4 validation_0-mlogloss:0.981278 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.950989 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.929955 [6] validation_0-merror:0.4 validation_0-mlogloss:0.91588 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.909565 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.898202 [9] validation_0-merror:0.35 validation_0-mlogloss:0.885556 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.874038 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.862678 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.849629 [13] validation_0-merror:0.4 validation_0-mlogloss:0.838095 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.82932 [15] validation_0-merror:0.4 validation_0-mlogloss:0.821191 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.814558 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.811766 [18] validation_0-merror:0.4 validation_0-mlogloss:0.808762 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.804054 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.802865 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.800707 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.798066 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.794312 [24] validation_0-merror:0.4 validation_0-mlogloss:0.7935 [25] validation_0-merror:0.4 validation_0-mlogloss:0.791606 [26] validation_0-merror:0.4 validation_0-mlogloss:0.791997 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.792322 [28] validation_0-merror:0.4 validation_0-mlogloss:0.792541 [29] validation_0-merror:0.4 validation_0-mlogloss:0.790896 [30] validation_0-merror:0.4 validation_0-mlogloss:0.792598 [31] validation_0-merror:0.4 validation_0-mlogloss:0.792465 [32] validation_0-merror:0.4 validation_0-mlogloss:0.790982 [33] validation_0-merror:0.416667 validation_0-mlogloss:0.793205 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.793008 Stopping. Best iteration: [29] validation_0-merror:0.4 validation_0-mlogloss:0.790896 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06214 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996058 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.975585 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.952857 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.926139 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.910484 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.897444 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.879298 [9] validation_0-merror:0.3 validation_0-mlogloss:0.864437 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.846318 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.828891 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.81537 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.803804 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.798731 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.789469 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.774519 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764774 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759949 [19] validation_0-merror:0.3 validation_0-mlogloss:0.752084 [20] validation_0-merror:0.3 validation_0-mlogloss:0.748582 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747974 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741558 [23] validation_0-merror:0.3 validation_0-mlogloss:0.730346 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.723014 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.719053 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.71759 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.714238 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.706362 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.703432 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.705304 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.702798 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.702474 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.701406 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.701804 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.700611 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.703788 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.707299 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.706321 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.702829 [40] validation_0-merror:0.3 validation_0-mlogloss:0.699325 [41] validation_0-merror:0.3 validation_0-mlogloss:0.699751 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.700344 [43] validation_0-merror:0.3 validation_0-mlogloss:0.700602 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.699844 [45] validation_0-merror:0.3 validation_0-mlogloss:0.698187 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697312 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695929 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.695469 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.695268 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.696922 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.696024 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.696803 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.696484 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.700103 Stopping. Best iteration: [49] validation_0-merror:0.266667 validation_0-mlogloss:0.695268 [0] validation_0-merror:0.3 validation_0-mlogloss:1.05236 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01856 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.986334 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958702 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.923089 [5] validation_0-merror:0.3 validation_0-mlogloss:0.89843 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882546 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870543 [8] validation_0-merror:0.3 validation_0-mlogloss:0.854402 [9] validation_0-merror:0.3 validation_0-mlogloss:0.84053 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830252 [11] validation_0-merror:0.3 validation_0-mlogloss:0.8165 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.795266 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.777253 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.76708 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.756388 [16] validation_0-merror:0.25 validation_0-mlogloss:0.748469 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743159 [18] validation_0-merror:0.25 validation_0-mlogloss:0.732728 [19] validation_0-merror:0.25 validation_0-mlogloss:0.723873 [20] validation_0-merror:0.25 validation_0-mlogloss:0.71907 [21] validation_0-merror:0.25 validation_0-mlogloss:0.71542 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.712119 [23] validation_0-merror:0.25 validation_0-mlogloss:0.706068 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.701958 [25] validation_0-merror:0.25 validation_0-mlogloss:0.696365 [26] validation_0-merror:0.25 validation_0-mlogloss:0.692911 [27] validation_0-merror:0.25 validation_0-mlogloss:0.688769 [28] validation_0-merror:0.25 validation_0-mlogloss:0.68952 [29] validation_0-merror:0.25 validation_0-mlogloss:0.685407 [30] validation_0-merror:0.25 validation_0-mlogloss:0.685854 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.683597 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.681755 [33] validation_0-merror:0.25 validation_0-mlogloss:0.679575 [34] validation_0-merror:0.25 validation_0-mlogloss:0.677943 [35] validation_0-merror:0.25 validation_0-mlogloss:0.67895 [36] validation_0-merror:0.25 validation_0-mlogloss:0.678932 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.680561 [38] validation_0-merror:0.25 validation_0-mlogloss:0.680468 [39] validation_0-merror:0.25 validation_0-mlogloss:0.678382 Stopping. Best iteration: [34] validation_0-merror:0.25 validation_0-mlogloss:0.677943 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05717 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03184 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00411 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.985377 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.95934 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934496 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.922218 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.91566 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.901248 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.887431 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.872985 [11] validation_0-merror:0.35 validation_0-mlogloss:0.861004 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.844802 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.832554 [14] validation_0-merror:0.35 validation_0-mlogloss:0.82536 [15] validation_0-merror:0.35 validation_0-mlogloss:0.821309 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812271 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.807536 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.807014 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.798439 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.800103 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798257 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.798019 [23] validation_0-merror:0.35 validation_0-mlogloss:0.795022 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.793877 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.790697 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.792932 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.794304 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.797505 [29] validation_0-merror:0.35 validation_0-mlogloss:0.800731 [30] validation_0-merror:0.35 validation_0-mlogloss:0.806101 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.790697 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05778 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02912 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995402 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.973928 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.955618 [5] validation_0-merror:0.35 validation_0-mlogloss:0.934754 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.911823 [7] validation_0-merror:0.35 validation_0-mlogloss:0.901715 [8] validation_0-merror:0.35 validation_0-mlogloss:0.87869 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861434 [10] validation_0-merror:0.4 validation_0-mlogloss:0.849316 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.830972 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.813038 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.800352 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793124 [15] validation_0-merror:0.35 validation_0-mlogloss:0.788404 [16] validation_0-merror:0.35 validation_0-mlogloss:0.779372 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771718 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76952 [19] validation_0-merror:0.35 validation_0-mlogloss:0.764123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.760021 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762669 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.757419 [23] validation_0-merror:0.35 validation_0-mlogloss:0.747679 [24] validation_0-merror:0.35 validation_0-mlogloss:0.742351 [25] validation_0-merror:0.35 validation_0-mlogloss:0.738578 [26] validation_0-merror:0.35 validation_0-mlogloss:0.737081 [27] validation_0-merror:0.35 validation_0-mlogloss:0.733813 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.727874 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722474 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.724006 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.727105 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723212 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.724784 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.723024 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722474 [0] validation_0-merror:0.4 validation_0-mlogloss:1.04762 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01048 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.983204 [3] validation_0-merror:0.3 validation_0-mlogloss:0.945745 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.926468 [5] validation_0-merror:0.3 validation_0-mlogloss:0.902526 [6] validation_0-merror:0.3 validation_0-mlogloss:0.885302 [7] validation_0-merror:0.3 validation_0-mlogloss:0.863899 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.844777 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831084 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.819456 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.807757 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797475 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.789228 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78062 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.771792 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.760359 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.752415 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749588 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748755 [20] validation_0-merror:0.35 validation_0-mlogloss:0.74164 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738749 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731845 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727347 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722925 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.721754 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.716781 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.719587 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.71765 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.717321 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.711098 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705518 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.702086 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.699813 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.698727 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.694218 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.692448 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690799 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.6925 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.691652 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.692837 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.692696 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693161 Stopping. Best iteration: [37] validation_0-merror:0.266667 validation_0-mlogloss:0.690799 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04936 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00616 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.977822 [3] validation_0-merror:0.35 validation_0-mlogloss:0.948258 [4] validation_0-merror:0.35 validation_0-mlogloss:0.917054 [5] validation_0-merror:0.35 validation_0-mlogloss:0.891046 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.875129 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856669 [8] validation_0-merror:0.35 validation_0-mlogloss:0.835939 [9] validation_0-merror:0.35 validation_0-mlogloss:0.819881 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811972 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.805939 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.794402 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789811 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78526 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780156 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77949 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779608 [18] validation_0-merror:0.35 validation_0-mlogloss:0.776678 [19] validation_0-merror:0.35 validation_0-mlogloss:0.771637 [20] validation_0-merror:0.35 validation_0-mlogloss:0.761322 [21] validation_0-merror:0.35 validation_0-mlogloss:0.761064 [22] validation_0-merror:0.35 validation_0-mlogloss:0.759384 [23] validation_0-merror:0.35 validation_0-mlogloss:0.7594 [24] validation_0-merror:0.35 validation_0-mlogloss:0.760352 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761464 [26] validation_0-merror:0.35 validation_0-mlogloss:0.761883 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756721 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753371 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751978 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.75389 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.759665 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.75786 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.759463 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.759886 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.751978 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05668 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01232 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.984945 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.96007 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938558 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.914111 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.89628 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.88259 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860827 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851057 [10] validation_0-merror:0.3 validation_0-mlogloss:0.842699 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83373 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.819684 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.809382 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798957 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.797776 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.794317 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.78732 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788051 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.784196 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.780379 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.78083 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775492 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.771713 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.765781 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.765947 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.766022 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.763879 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.759699 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.757059 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.759086 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.756787 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.754861 [33] validation_0-merror:0.3 validation_0-mlogloss:0.756894 [34] validation_0-merror:0.3 validation_0-mlogloss:0.753134 [35] validation_0-merror:0.3 validation_0-mlogloss:0.759489 [36] validation_0-merror:0.3 validation_0-mlogloss:0.75875 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.758664 [38] validation_0-merror:0.3 validation_0-mlogloss:0.757709 [39] validation_0-merror:0.3 validation_0-mlogloss:0.759334 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.753134 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06128 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.4 validation_0-mlogloss:0.998155 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.972639 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.964555 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.938156 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919305 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.904021 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.887284 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870465 [10] validation_0-merror:0.4 validation_0-mlogloss:0.859862 [11] validation_0-merror:0.35 validation_0-mlogloss:0.844928 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.831485 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.820864 [14] validation_0-merror:0.35 validation_0-mlogloss:0.815095 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812968 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.80069 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.788928 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.783221 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.777427 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.768146 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.76031 [22] validation_0-merror:0.3 validation_0-mlogloss:0.752812 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7493 [24] validation_0-merror:0.3 validation_0-mlogloss:0.739199 [25] validation_0-merror:0.3 validation_0-mlogloss:0.740064 [26] validation_0-merror:0.3 validation_0-mlogloss:0.733548 [27] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [28] validation_0-merror:0.3 validation_0-mlogloss:0.725033 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.721862 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716111 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711207 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711786 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70819 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707156 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705747 [36] validation_0-merror:0.3 validation_0-mlogloss:0.7074 [37] validation_0-merror:0.3 validation_0-mlogloss:0.704083 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.707038 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704937 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.708234 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.704285 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.701627 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.696899 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.698038 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.695907 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.697822 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.695936 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [49] validation_0-merror:0.3 validation_0-mlogloss:0.698698 [50] validation_0-merror:0.3 validation_0-mlogloss:0.698993 [51] validation_0-merror:0.3 validation_0-mlogloss:0.702585 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.703602 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.703442 Stopping. Best iteration: [48] validation_0-merror:0.3 validation_0-mlogloss:0.695131 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06533 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.04297 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.35 validation_0-mlogloss:0.982471 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.950579 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930601 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.912368 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.893735 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.87568 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.859966 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842686 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833959 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.829296 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.82016 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813224 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806181 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800177 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.794883 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.787202 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.780661 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.775524 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.76834 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766956 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765279 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.76444 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.761343 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.759745 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.757836 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.754714 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.752507 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.752502 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.749353 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.747138 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.746323 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.748018 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.750223 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.745648 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.749624 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.749421 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.748463 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.745499 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.742384 [42] validation_0-merror:0.366667 validation_0-mlogloss:0.743051 [43] validation_0-merror:0.366667 validation_0-mlogloss:0.742577 [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.743042 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.743674 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.743435 [48] validation_0-merror:0.366667 validation_0-mlogloss:0.748033 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.747086 Stopping. Best iteration: [44] validation_0-merror:0.366667 validation_0-mlogloss:0.740672 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06972 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.04078 [2] validation_0-merror:0.266667 validation_0-mlogloss:1.00238 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.981194 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95575 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.932988 [6] validation_0-merror:0.3 validation_0-mlogloss:0.911602 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.8983 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.883418 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.870832 [10] validation_0-merror:0.3 validation_0-mlogloss:0.849772 [11] validation_0-merror:0.35 validation_0-mlogloss:0.837061 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.82408 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808817 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797392 [15] validation_0-merror:0.3 validation_0-mlogloss:0.795548 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78884 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.782301 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.768802 [19] validation_0-merror:0.3 validation_0-mlogloss:0.765972 [20] validation_0-merror:0.3 validation_0-mlogloss:0.759306 [21] validation_0-merror:0.3 validation_0-mlogloss:0.750695 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747612 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737814 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.736958 [25] validation_0-merror:0.3 validation_0-mlogloss:0.732947 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72815 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722253 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.721421 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715637 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.710268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706613 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706971 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.708223 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.706233 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.705341 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697662 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698163 [38] validation_0-merror:0.3 validation_0-mlogloss:0.696036 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69226 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686393 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683997 [42] validation_0-merror:0.3 validation_0-mlogloss:0.685793 [43] validation_0-merror:0.3 validation_0-mlogloss:0.681404 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67977 [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678228 [47] validation_0-merror:0.3 validation_0-mlogloss:0.678334 [48] validation_0-merror:0.3 validation_0-mlogloss:0.681006 [49] validation_0-merror:0.3 validation_0-mlogloss:0.682115 [50] validation_0-merror:0.3 validation_0-mlogloss:0.678277 Stopping. Best iteration: [45] validation_0-merror:0.3 validation_0-mlogloss:0.676546 [0] validation_0-merror:0.5 validation_0-mlogloss:1.0628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02203 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989209 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957636 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934998 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.908563 [6] validation_0-merror:0.3 validation_0-mlogloss:0.892287 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872448 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.857025 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843319 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834914 [11] validation_0-merror:0.35 validation_0-mlogloss:0.821791 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810207 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805498 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797963 [15] validation_0-merror:0.3 validation_0-mlogloss:0.788452 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778181 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767194 [18] validation_0-merror:0.3 validation_0-mlogloss:0.766225 [19] validation_0-merror:0.3 validation_0-mlogloss:0.763451 [20] validation_0-merror:0.3 validation_0-mlogloss:0.754527 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750947 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746172 [23] validation_0-merror:0.3 validation_0-mlogloss:0.732582 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.726355 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.727171 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.725087 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.72725 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.727656 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721447 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.717766 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.713498 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.711739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710706 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712155 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.713113 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.714209 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.711398 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.713064 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.710706 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987014 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962683 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932443 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909573 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885653 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.86788 [8] validation_0-merror:0.35 validation_0-mlogloss:0.849408 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83071 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.815838 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807412 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80135 [13] validation_0-merror:0.35 validation_0-mlogloss:0.794805 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.7899 [15] validation_0-merror:0.35 validation_0-mlogloss:0.783104 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.779107 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.774991 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.776915 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77473 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.769765 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768146 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.768995 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.770094 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.770145 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769237 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.768395 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768146 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06196 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02022 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985642 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.965685 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.940533 [5] validation_0-merror:0.3 validation_0-mlogloss:0.917116 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.897309 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.883395 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.863444 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851172 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834207 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.824249 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813209 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.79973 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78833 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.787975 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779167 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.768128 [18] validation_0-merror:0.3 validation_0-mlogloss:0.765151 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75797 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.749982 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.749111 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.746302 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.738668 [24] validation_0-merror:0.3 validation_0-mlogloss:0.734788 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.736277 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.737244 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735341 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.7315 [29] validation_0-merror:0.3 validation_0-mlogloss:0.728566 [30] validation_0-merror:0.3 validation_0-mlogloss:0.725408 [31] validation_0-merror:0.3 validation_0-mlogloss:0.721664 [32] validation_0-merror:0.3 validation_0-mlogloss:0.717653 [33] validation_0-merror:0.3 validation_0-mlogloss:0.720945 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721224 [35] validation_0-merror:0.3 validation_0-mlogloss:0.72764 [36] validation_0-merror:0.3 validation_0-mlogloss:0.726722 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.723588 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.717653 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.04961 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01389 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986546 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.951189 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929467 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.909882 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.89229 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870469 [8] validation_0-merror:0.35 validation_0-mlogloss:0.853105 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83865 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824571 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.811417 [12] validation_0-merror:0.35 validation_0-mlogloss:0.800964 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790993 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.780333 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769596 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.758966 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.751512 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.749223 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749816 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74331 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.737523 [22] validation_0-merror:0.35 validation_0-mlogloss:0.732344 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726806 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.724145 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719236 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.713146 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713839 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711058 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.710435 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703323 [31] validation_0-merror:0.3 validation_0-mlogloss:0.699404 [32] validation_0-merror:0.3 validation_0-mlogloss:0.697184 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696864 [34] validation_0-merror:0.3 validation_0-mlogloss:0.694356 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691194 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687698 [37] validation_0-merror:0.3 validation_0-mlogloss:0.688527 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.686348 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683263 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.684035 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.683393 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682985 [43] validation_0-merror:0.3 validation_0-mlogloss:0.683696 [44] validation_0-merror:0.3 validation_0-mlogloss:0.682278 [45] validation_0-merror:0.3 validation_0-mlogloss:0.68261 [46] validation_0-merror:0.3 validation_0-mlogloss:0.680995 [47] validation_0-merror:0.3 validation_0-mlogloss:0.679263 [48] validation_0-merror:0.3 validation_0-mlogloss:0.677393 [49] validation_0-merror:0.3 validation_0-mlogloss:0.677847 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678496 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679164 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676392 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.67882 [54] validation_0-merror:0.3 validation_0-mlogloss:0.677257 [55] validation_0-merror:0.3 validation_0-mlogloss:0.678933 [56] validation_0-merror:0.3 validation_0-mlogloss:0.680806 [57] validation_0-merror:0.3 validation_0-mlogloss:0.680223 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.676392 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05026 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00751 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977737 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.947702 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.92005 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.897225 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880639 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864705 [8] validation_0-merror:0.3 validation_0-mlogloss:0.84456 [9] validation_0-merror:0.3 validation_0-mlogloss:0.828433 [10] validation_0-merror:0.3 validation_0-mlogloss:0.8207 [11] validation_0-merror:0.35 validation_0-mlogloss:0.815212 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803581 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797483 [14] validation_0-merror:0.35 validation_0-mlogloss:0.791747 [15] validation_0-merror:0.35 validation_0-mlogloss:0.784431 [16] validation_0-merror:0.35 validation_0-mlogloss:0.780644 [17] validation_0-merror:0.35 validation_0-mlogloss:0.775932 [18] validation_0-merror:0.35 validation_0-mlogloss:0.774207 [19] validation_0-merror:0.35 validation_0-mlogloss:0.766194 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759106 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.759299 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754899 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755158 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.759114 [25] validation_0-merror:0.35 validation_0-mlogloss:0.758357 [26] validation_0-merror:0.35 validation_0-mlogloss:0.75468 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.756106 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.75579 [29] validation_0-merror:0.35 validation_0-mlogloss:0.754154 [30] validation_0-merror:0.35 validation_0-mlogloss:0.757012 [31] validation_0-merror:0.35 validation_0-mlogloss:0.761599 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.759433 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.76017 [34] validation_0-merror:0.35 validation_0-mlogloss:0.758921 Stopping. Best iteration: [29] validation_0-merror:0.35 validation_0-mlogloss:0.754154 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05745 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01243 [2] validation_0-merror:0.3 validation_0-mlogloss:0.983548 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.963446 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939769 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.914023 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.893813 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878917 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.855102 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.843958 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.833875 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.819054 [12] validation_0-merror:0.25 validation_0-mlogloss:0.807547 [13] validation_0-merror:0.25 validation_0-mlogloss:0.799136 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.791313 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783394 [16] validation_0-merror:0.3 validation_0-mlogloss:0.781015 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.768811 [18] validation_0-merror:0.3 validation_0-mlogloss:0.767977 [19] validation_0-merror:0.3 validation_0-mlogloss:0.762403 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.758517 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75903 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753275 [23] validation_0-merror:0.25 validation_0-mlogloss:0.749676 [24] validation_0-merror:0.25 validation_0-mlogloss:0.743503 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.74286 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.736142 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735537 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.729633 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.7268 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.727627 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.723534 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720721 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.723154 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.721572 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.728121 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.727465 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.72736 Stopping. Best iteration: [32] validation_0-merror:0.266667 validation_0-mlogloss:0.720721 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05008 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00981 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974435 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.941056 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.912612 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.885965 [6] validation_0-merror:0.3 validation_0-mlogloss:0.865016 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.842646 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.828871 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821466 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.811407 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.79469 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.78219 [13] validation_0-merror:0.25 validation_0-mlogloss:0.769446 [14] validation_0-merror:0.25 validation_0-mlogloss:0.764769 [15] validation_0-merror:0.25 validation_0-mlogloss:0.753017 [16] validation_0-merror:0.25 validation_0-mlogloss:0.74321 [17] validation_0-merror:0.25 validation_0-mlogloss:0.73833 [18] validation_0-merror:0.25 validation_0-mlogloss:0.734019 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.729469 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.727651 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.723783 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.725118 [23] validation_0-merror:0.233333 validation_0-mlogloss:0.720862 [24] validation_0-merror:0.233333 validation_0-mlogloss:0.717621 [25] validation_0-merror:0.233333 validation_0-mlogloss:0.71699 [26] validation_0-merror:0.233333 validation_0-mlogloss:0.715529 [27] validation_0-merror:0.233333 validation_0-mlogloss:0.71522 [28] validation_0-merror:0.25 validation_0-mlogloss:0.714087 [29] validation_0-merror:0.25 validation_0-mlogloss:0.713076 [30] validation_0-merror:0.25 validation_0-mlogloss:0.714136 [31] validation_0-merror:0.25 validation_0-mlogloss:0.715028 [32] validation_0-merror:0.25 validation_0-mlogloss:0.716224 [33] validation_0-merror:0.25 validation_0-mlogloss:0.7186 [34] validation_0-merror:0.25 validation_0-mlogloss:0.717627 Stopping. Best iteration: [29] validation_0-merror:0.25 validation_0-mlogloss:0.713076 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05846 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02353 [2] validation_0-merror:0.35 validation_0-mlogloss:0.987472 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.961686 [4] validation_0-merror:0.35 validation_0-mlogloss:0.933122 [5] validation_0-merror:0.35 validation_0-mlogloss:0.905452 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886723 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.867955 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852393 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.846147 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837596 [11] validation_0-merror:0.3 validation_0-mlogloss:0.830008 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.824056 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.816817 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.810918 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.810473 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.804938 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.799554 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.802244 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799213 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.801444 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.803301 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.804832 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.807183 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.806064 Stopping. Best iteration: [19] validation_0-merror:0.316667 validation_0-mlogloss:0.799213 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06122 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0202 [2] validation_0-merror:0.35 validation_0-mlogloss:0.98175 [3] validation_0-merror:0.35 validation_0-mlogloss:0.954783 [4] validation_0-merror:0.35 validation_0-mlogloss:0.929584 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90161 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877969 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.864709 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851801 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.841318 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830197 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.826394 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81929 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.817288 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.811793 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.806372 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.802211 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800884 [18] validation_0-merror:0.35 validation_0-mlogloss:0.802532 [19] validation_0-merror:0.35 validation_0-mlogloss:0.805627 [20] validation_0-merror:0.35 validation_0-mlogloss:0.809187 [21] validation_0-merror:0.35 validation_0-mlogloss:0.808957 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.811252 Stopping. Best iteration: [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800884 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06392 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.466667 validation_0-mlogloss:1.0368 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00304 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.972111 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.949938 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.924434 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.906143 [7] validation_0-merror:0.35 validation_0-mlogloss:0.889165 [8] validation_0-merror:0.35 validation_0-mlogloss:0.873345 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852553 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.843651 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.831168 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.819066 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.8102 [14] validation_0-merror:0.35 validation_0-mlogloss:0.798581 [15] validation_0-merror:0.35 validation_0-mlogloss:0.790954 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782551 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773498 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76975 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766239 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.757696 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.751494 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747163 [23] validation_0-merror:0.3 validation_0-mlogloss:0.74384 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736611 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739231 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73579 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735335 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.734757 [29] validation_0-merror:0.3 validation_0-mlogloss:0.730395 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728968 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.726274 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726144 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.724763 [35] validation_0-merror:0.35 validation_0-mlogloss:0.728794 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.731098 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.728193 [38] validation_0-merror:0.3 validation_0-mlogloss:0.728085 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723103 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02511 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.986763 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.963344 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.927918 [5] validation_0-merror:0.35 validation_0-mlogloss:0.906739 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885326 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867289 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848706 [9] validation_0-merror:0.35 validation_0-mlogloss:0.830465 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814779 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801895 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795329 [13] validation_0-merror:0.35 validation_0-mlogloss:0.786732 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.780333 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.773374 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.769606 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.764044 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.764457 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.760318 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.755764 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.752035 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.75457 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757341 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.755341 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.754464 Stopping. Best iteration: [21] validation_0-merror:0.383333 validation_0-mlogloss:0.750589 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06371 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02467 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.988956 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.966786 [4] validation_0-merror:0.3 validation_0-mlogloss:0.939957 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919973 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901757 [7] validation_0-merror:0.3 validation_0-mlogloss:0.885443 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867589 [9] validation_0-merror:0.35 validation_0-mlogloss:0.855059 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838856 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.827853 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.81337 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798143 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.78847 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788606 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.780765 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771532 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76804 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.762123 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756125 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.750392 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.748654 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.740041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738103 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738756 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.74038 [27] validation_0-merror:0.35 validation_0-mlogloss:0.739806 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73911 [29] validation_0-merror:0.35 validation_0-mlogloss:0.732854 [30] validation_0-merror:0.35 validation_0-mlogloss:0.731863 [31] validation_0-merror:0.35 validation_0-mlogloss:0.728742 [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730418 [34] validation_0-merror:0.35 validation_0-mlogloss:0.73186 [35] validation_0-merror:0.35 validation_0-mlogloss:0.739267 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738026 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734916 Stopping. Best iteration: [32] validation_0-merror:0.35 validation_0-mlogloss:0.726409 [0] validation_0-merror:0.533333 validation_0-mlogloss:1.05945 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02883 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.998949 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.973125 [4] validation_0-merror:0.4 validation_0-mlogloss:0.963525 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.940033 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.922705 [7] validation_0-merror:0.35 validation_0-mlogloss:0.905789 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889759 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873089 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.862343 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.850246 [12] validation_0-merror:0.35 validation_0-mlogloss:0.83824 [13] validation_0-merror:0.4 validation_0-mlogloss:0.829613 [14] validation_0-merror:0.35 validation_0-mlogloss:0.821952 [15] validation_0-merror:0.35 validation_0-mlogloss:0.819905 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.807868 [17] validation_0-merror:0.35 validation_0-mlogloss:0.795566 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.790391 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.784029 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.775045 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.76735 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.760274 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.752959 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.744322 [25] validation_0-merror:0.35 validation_0-mlogloss:0.742972 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733644 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724887 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718968 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714173 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.709735 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.703275 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.702771 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697173 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.69631 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.693775 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.694034 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692035 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.693588 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.690252 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.692112 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.69229 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.690108 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.687241 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.68821 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.687703 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.688714 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.68682 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.683681 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.687164 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.683855 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.687305 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.688789 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.689722 Stopping. Best iteration: [48] validation_0-merror:0.266667 validation_0-mlogloss:0.683681 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.06013 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03415 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997853 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976479 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943022 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922599 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906097 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.891193 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871964 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.854741 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837654 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828813 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.824874 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.815406 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810119 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.799043 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.791745 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787402 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.783232 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.778704 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772901 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768631 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767783 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.767931 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.770282 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.77018 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.76747 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.762155 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.761708 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.759302 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.760494 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.760248 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.754231 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750816 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.754409 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.757458 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.752641 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.75677 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.756404 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750816 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06748 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03756 [2] validation_0-merror:0.25 validation_0-mlogloss:1.00065 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.978416 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952568 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.926853 [6] validation_0-merror:0.3 validation_0-mlogloss:0.90648 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.893924 [8] validation_0-merror:0.35 validation_0-mlogloss:0.880367 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.868668 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.849841 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.840843 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.827911 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813461 [14] validation_0-merror:0.3 validation_0-mlogloss:0.80064 [15] validation_0-merror:0.3 validation_0-mlogloss:0.798187 [16] validation_0-merror:0.3 validation_0-mlogloss:0.789988 [17] validation_0-merror:0.3 validation_0-mlogloss:0.785103 [18] validation_0-merror:0.3 validation_0-mlogloss:0.777815 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.769755 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.765195 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7582 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754124 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746359 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743505 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.738993 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.733723 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729271 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.728857 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.724384 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719726 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716107 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.71439 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.714825 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.712195 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.712394 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.708961 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.708744 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.705884 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703951 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.697862 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.694695 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.696317 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.692888 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.692943 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.692675 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.691403 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.691295 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.694339 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.696065 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.693417 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.692822 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.688769 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.688003 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.69078 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.689291 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.689674 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.687429 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.686557 [59] validation_0-merror:0.316667 validation_0-mlogloss:0.689748 [60] validation_0-merror:0.316667 validation_0-mlogloss:0.692307 [61] validation_0-merror:0.3 validation_0-mlogloss:0.693321 [62] validation_0-merror:0.3 validation_0-mlogloss:0.697552 [63] validation_0-merror:0.3 validation_0-mlogloss:0.696725 Stopping. Best iteration: [58] validation_0-merror:0.316667 validation_0-mlogloss:0.686557 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04531 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00281 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.967786 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.93681 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.909423 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.889064 [6] validation_0-merror:0.35 validation_0-mlogloss:0.871749 [7] validation_0-merror:0.35 validation_0-mlogloss:0.855545 [8] validation_0-merror:0.35 validation_0-mlogloss:0.842681 [9] validation_0-merror:0.35 validation_0-mlogloss:0.83141 [10] validation_0-merror:0.35 validation_0-mlogloss:0.820582 [11] validation_0-merror:0.35 validation_0-mlogloss:0.812013 [12] validation_0-merror:0.35 validation_0-mlogloss:0.80576 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799193 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792705 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.786439 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.779161 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.774179 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.771313 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.768901 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.765939 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.764853 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765598 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.762907 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760568 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75747 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.754239 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.753335 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747055 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.749348 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.747679 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.749247 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.747686 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.747942 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.747055 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04776 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0027 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.966074 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.93451 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907561 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.886662 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.868541 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.852652 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838321 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826148 [10] validation_0-merror:0.35 validation_0-mlogloss:0.815928 [11] validation_0-merror:0.35 validation_0-mlogloss:0.804015 [12] validation_0-merror:0.35 validation_0-mlogloss:0.794058 [13] validation_0-merror:0.35 validation_0-mlogloss:0.787391 [14] validation_0-merror:0.35 validation_0-mlogloss:0.78493 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781739 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.778421 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77813 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.775704 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.770019 [20] validation_0-merror:0.35 validation_0-mlogloss:0.764493 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762312 [22] validation_0-merror:0.35 validation_0-mlogloss:0.764196 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.760079 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.760138 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.760001 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.758365 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757537 [28] validation_0-merror:0.35 validation_0-mlogloss:0.759163 [29] validation_0-merror:0.35 validation_0-mlogloss:0.761203 [30] validation_0-merror:0.35 validation_0-mlogloss:0.763669 [31] validation_0-merror:0.35 validation_0-mlogloss:0.765557 [32] validation_0-merror:0.35 validation_0-mlogloss:0.767179 Stopping. Best iteration: [27] validation_0-merror:0.333333 validation_0-mlogloss:0.757537 [0] validation_0-merror:0.266667 validation_0-mlogloss:1.04528 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00722 [2] validation_0-merror:0.35 validation_0-mlogloss:0.97473 [3] validation_0-merror:0.35 validation_0-mlogloss:0.945701 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923777 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902131 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885628 [7] validation_0-merror:0.35 validation_0-mlogloss:0.867391 [8] validation_0-merror:0.35 validation_0-mlogloss:0.857615 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842993 [10] validation_0-merror:0.3 validation_0-mlogloss:0.83786 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828281 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.819933 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.813927 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.814832 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.810409 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.805369 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.805854 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.806242 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.802222 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.800519 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.801526 [22] validation_0-merror:0.3 validation_0-mlogloss:0.801581 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.796148 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.795222 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.793461 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.790995 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.785346 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.785171 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.778991 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.778078 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.775994 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.775273 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.773567 [34] validation_0-merror:0.3 validation_0-mlogloss:0.774881 [35] validation_0-merror:0.3 validation_0-mlogloss:0.775324 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.773657 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.772116 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.770179 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.77349 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.774341 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.770539 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.768469 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.766719 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.766876 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.765817 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.766655 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.771576 [48] validation_0-merror:0.3 validation_0-mlogloss:0.774242 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.774833 [50] validation_0-merror:0.3 validation_0-mlogloss:0.780197 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.765817 [0] validation_0-merror:0.55 validation_0-mlogloss:1.06288 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02231 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989029 [3] validation_0-merror:0.4 validation_0-mlogloss:0.958247 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935376 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90912 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891546 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.871647 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856107 [9] validation_0-merror:0.35 validation_0-mlogloss:0.843631 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836542 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824839 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814061 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.809342 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.801877 [15] validation_0-merror:0.3 validation_0-mlogloss:0.791358 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.782596 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771446 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769639 [19] validation_0-merror:0.3 validation_0-mlogloss:0.764763 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754241 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.750554 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745034 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.731724 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.72544 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.723935 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.719817 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719356 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.718975 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.713191 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.710151 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.705855 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.704523 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.702477 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.702324 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.704485 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704768 [37] validation_0-merror:0.3 validation_0-mlogloss:0.7033 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.704352 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.701282 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.704421 [41] validation_0-merror:0.3 validation_0-mlogloss:0.705098 [42] validation_0-merror:0.3 validation_0-mlogloss:0.701125 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.698036 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.698855 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.698613 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.701355 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697603 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.698672 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.702053 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.698392 [51] validation_0-merror:0.3 validation_0-mlogloss:0.70222 [52] validation_0-merror:0.3 validation_0-mlogloss:0.702209 Stopping. Best iteration: [47] validation_0-merror:0.283333 validation_0-mlogloss:0.697603 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02349 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98671 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962132 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.933177 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910405 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887436 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.866997 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850341 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829575 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.814225 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804262 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799116 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.79092 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.785714 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.780778 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.777126 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.773169 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.774472 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.77312 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767712 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765927 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.765936 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.766758 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.767542 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766397 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.766089 Stopping. Best iteration: [21] validation_0-merror:0.366667 validation_0-mlogloss:0.765927 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0188 [2] validation_0-merror:0.3 validation_0-mlogloss:0.985376 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.966249 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939198 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917146 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.898598 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885612 [8] validation_0-merror:0.35 validation_0-mlogloss:0.865267 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851511 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.833511 [11] validation_0-merror:0.3 validation_0-mlogloss:0.82215 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.807648 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794235 [14] validation_0-merror:0.3 validation_0-mlogloss:0.782082 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78494 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775512 [17] validation_0-merror:0.3 validation_0-mlogloss:0.7652 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761875 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755619 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748202 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.745398 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.743196 [23] validation_0-merror:0.3 validation_0-mlogloss:0.735728 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.733676 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.735824 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.73555 [27] validation_0-merror:0.35 validation_0-mlogloss:0.73167 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730675 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.727009 [30] validation_0-merror:0.35 validation_0-mlogloss:0.723494 [31] validation_0-merror:0.35 validation_0-mlogloss:0.718422 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713718 [33] validation_0-merror:0.3 validation_0-mlogloss:0.718093 [34] validation_0-merror:0.3 validation_0-mlogloss:0.716478 [35] validation_0-merror:0.3 validation_0-mlogloss:0.722932 [36] validation_0-merror:0.3 validation_0-mlogloss:0.723514 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.719093 Stopping. Best iteration: [32] validation_0-merror:0.316667 validation_0-mlogloss:0.713718 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05908 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02096 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986859 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.955203 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931009 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908705 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.890681 [7] validation_0-merror:0.35 validation_0-mlogloss:0.871725 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853436 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.842508 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.831155 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812095 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797146 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.784163 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.77496 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.767438 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760509 [17] validation_0-merror:0.3 validation_0-mlogloss:0.755089 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749714 [19] validation_0-merror:0.3 validation_0-mlogloss:0.742161 [20] validation_0-merror:0.3 validation_0-mlogloss:0.736984 [21] validation_0-merror:0.3 validation_0-mlogloss:0.733281 [22] validation_0-merror:0.3 validation_0-mlogloss:0.730273 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.728035 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723676 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.720762 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717169 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715796 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713917 [29] validation_0-merror:0.3 validation_0-mlogloss:0.712523 [30] validation_0-merror:0.3 validation_0-mlogloss:0.712171 [31] validation_0-merror:0.3 validation_0-mlogloss:0.711183 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710734 [33] validation_0-merror:0.3 validation_0-mlogloss:0.712836 [34] validation_0-merror:0.3 validation_0-mlogloss:0.714694 [35] validation_0-merror:0.3 validation_0-mlogloss:0.71454 [36] validation_0-merror:0.3 validation_0-mlogloss:0.714301 [37] validation_0-merror:0.3 validation_0-mlogloss:0.712059 Stopping. Best iteration: [32] validation_0-merror:0.3 validation_0-mlogloss:0.710734 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05135 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01518 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.978093 [3] validation_0-merror:0.4 validation_0-mlogloss:0.95441 [4] validation_0-merror:0.4 validation_0-mlogloss:0.930243 [5] validation_0-merror:0.4 validation_0-mlogloss:0.906937 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.890654 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.875996 [8] validation_0-merror:0.416667 validation_0-mlogloss:0.862111 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.854059 [10] validation_0-merror:0.35 validation_0-mlogloss:0.838855 [11] validation_0-merror:0.35 validation_0-mlogloss:0.825185 [12] validation_0-merror:0.35 validation_0-mlogloss:0.815893 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.805306 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.801993 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.798034 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.796223 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.791887 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.79213 [19] validation_0-merror:0.35 validation_0-mlogloss:0.791675 [20] validation_0-merror:0.35 validation_0-mlogloss:0.791213 [21] validation_0-merror:0.35 validation_0-mlogloss:0.78976 [22] validation_0-merror:0.35 validation_0-mlogloss:0.790282 [23] validation_0-merror:0.35 validation_0-mlogloss:0.790654 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.788489 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.788746 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.790563 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.793144 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.796359 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.799026 Stopping. Best iteration: [24] validation_0-merror:0.366667 validation_0-mlogloss:0.788489 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06045 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02357 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985948 [3] validation_0-merror:0.3 validation_0-mlogloss:0.960731 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.930624 [5] validation_0-merror:0.3 validation_0-mlogloss:0.911368 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.891475 [7] validation_0-merror:0.3 validation_0-mlogloss:0.874981 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.857852 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851864 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.839029 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.829811 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824101 [13] validation_0-merror:0.3 validation_0-mlogloss:0.817288 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.801572 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.800906 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.793912 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.786881 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.783313 [19] validation_0-merror:0.266667 validation_0-mlogloss:0.780205 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.776808 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.774235 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.768299 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.759206 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.756329 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.754116 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.752993 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.750414 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.746645 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.744043 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.745187 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.744405 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.742581 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.740924 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.740084 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.737576 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.737002 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.737025 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.738243 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.736823 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.734533 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.733186 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.734945 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.737089 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.738333 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.741204 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.741254 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.733186 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05772 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02265 [2] validation_0-merror:0.35 validation_0-mlogloss:0.988644 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.958451 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.932864 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.910193 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.891784 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873235 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85509 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841423 [10] validation_0-merror:0.3 validation_0-mlogloss:0.830749 [11] validation_0-merror:0.3 validation_0-mlogloss:0.812068 [12] validation_0-merror:0.3 validation_0-mlogloss:0.79856 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.786446 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778208 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.77027 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.763942 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756846 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749873 [19] validation_0-merror:0.3 validation_0-mlogloss:0.741724 [20] validation_0-merror:0.3 validation_0-mlogloss:0.735123 [21] validation_0-merror:0.3 validation_0-mlogloss:0.729553 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.721879 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717382 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714574 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.708179 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708207 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706343 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705059 [29] validation_0-merror:0.3 validation_0-mlogloss:0.703362 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703719 [31] validation_0-merror:0.3 validation_0-mlogloss:0.701808 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699397 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.697134 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.697551 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.69675 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.695642 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694727 [38] validation_0-merror:0.3 validation_0-mlogloss:0.69548 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694479 [40] validation_0-merror:0.3 validation_0-mlogloss:0.694035 [41] validation_0-merror:0.3 validation_0-mlogloss:0.694508 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692728 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.693772 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.694742 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.697574 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.697105 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.695825 Stopping. Best iteration: [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692728 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05342 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01709 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978872 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952174 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924761 [5] validation_0-merror:0.35 validation_0-mlogloss:0.901327 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.883023 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864532 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.851712 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.843827 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.828166 [11] validation_0-merror:0.35 validation_0-mlogloss:0.813897 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.806626 [13] validation_0-merror:0.35 validation_0-mlogloss:0.801206 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.79334 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.784856 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.782142 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.779372 [18] validation_0-merror:0.4 validation_0-mlogloss:0.777596 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773236 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772311 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.769368 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.768456 [23] validation_0-merror:0.4 validation_0-mlogloss:0.76565 [24] validation_0-merror:0.4 validation_0-mlogloss:0.762452 [25] validation_0-merror:0.4 validation_0-mlogloss:0.761175 [26] validation_0-merror:0.4 validation_0-mlogloss:0.761757 [27] validation_0-merror:0.4 validation_0-mlogloss:0.763212 [28] validation_0-merror:0.4 validation_0-mlogloss:0.758511 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.758153 [30] validation_0-merror:0.4 validation_0-mlogloss:0.762942 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.76295 [32] validation_0-merror:0.4 validation_0-mlogloss:0.765658 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.763379 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.763087 Stopping. Best iteration: [29] validation_0-merror:0.383333 validation_0-mlogloss:0.758153 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06238 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02503 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989557 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.957132 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927685 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.906466 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.883887 [7] validation_0-merror:0.3 validation_0-mlogloss:0.86847 [8] validation_0-merror:0.3 validation_0-mlogloss:0.849172 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.839993 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.831722 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82313 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.813726 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.809643 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.796744 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.790102 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.781333 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774066 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.772585 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.764144 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.762623 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.757666 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.753401 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748694 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.743232 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.738933 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.737482 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.738897 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.735241 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.732243 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.733424 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.731859 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.728662 [33] validation_0-merror:0.3 validation_0-mlogloss:0.724049 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.727061 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.72828 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.726577 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.723716 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.721772 [39] validation_0-merror:0.25 validation_0-mlogloss:0.718362 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.716786 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.715313 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.716186 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.716825 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.715047 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.71789 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.718672 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.718683 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.719382 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.719689 Stopping. Best iteration: [44] validation_0-merror:0.283333 validation_0-mlogloss:0.715047 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04217 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00369 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.972379 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.935109 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.915939 [5] validation_0-merror:0.266667 validation_0-mlogloss:0.886424 [6] validation_0-merror:0.3 validation_0-mlogloss:0.864038 [7] validation_0-merror:0.3 validation_0-mlogloss:0.842308 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.826306 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.812896 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.802311 [11] validation_0-merror:0.3 validation_0-mlogloss:0.790715 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.777184 [13] validation_0-merror:0.3 validation_0-mlogloss:0.76463 [14] validation_0-merror:0.3 validation_0-mlogloss:0.75682 [15] validation_0-merror:0.3 validation_0-mlogloss:0.746649 [16] validation_0-merror:0.3 validation_0-mlogloss:0.73873 [17] validation_0-merror:0.3 validation_0-mlogloss:0.73287 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.733712 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.732755 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.727532 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.725081 [22] validation_0-merror:0.3 validation_0-mlogloss:0.72026 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713953 [24] validation_0-merror:0.3 validation_0-mlogloss:0.7071 [25] validation_0-merror:0.3 validation_0-mlogloss:0.707204 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703448 [27] validation_0-merror:0.3 validation_0-mlogloss:0.707233 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705888 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706846 [30] validation_0-merror:0.3 validation_0-mlogloss:0.702253 [31] validation_0-merror:0.3 validation_0-mlogloss:0.697973 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.694204 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.693055 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.692703 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.691892 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691672 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.693357 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.693671 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.697887 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.706978 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.705452 Stopping. Best iteration: [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691672 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05448 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00689 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.975242 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.940733 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.907829 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.877887 [6] validation_0-merror:0.3 validation_0-mlogloss:0.858186 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.842016 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8207 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.809746 [10] validation_0-merror:0.3 validation_0-mlogloss:0.80332 [11] validation_0-merror:0.35 validation_0-mlogloss:0.795158 [12] validation_0-merror:0.35 validation_0-mlogloss:0.785845 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.781025 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.773575 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.76873 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.767505 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770731 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768092 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.762629 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.759427 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.75848 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756627 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.757146 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.763138 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.758772 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.757661 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.761398 Stopping. Best iteration: [22] validation_0-merror:0.316667 validation_0-mlogloss:0.756627 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05001 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01109 [2] validation_0-merror:0.35 validation_0-mlogloss:0.985827 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.963718 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.935148 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.924093 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.912372 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.902663 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884286 [9] validation_0-merror:0.35 validation_0-mlogloss:0.873965 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.867114 [11] validation_0-merror:0.4 validation_0-mlogloss:0.85588 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.841636 [13] validation_0-merror:0.35 validation_0-mlogloss:0.832085 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.822007 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.821629 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822699 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.817534 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.812899 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807921 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.812048 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.814446 [22] validation_0-merror:0.35 validation_0-mlogloss:0.811384 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.811646 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.80746 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.810822 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.808837 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.811622 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.809183 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.803837 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.803692 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.808665 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.805288 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.808188 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.804429 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.813298 Stopping. Best iteration: [30] validation_0-merror:0.333333 validation_0-mlogloss:0.803692 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05848 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.03262 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00557 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973702 [4] validation_0-merror:0.35 validation_0-mlogloss:0.954976 [5] validation_0-merror:0.3 validation_0-mlogloss:0.932828 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915603 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.898426 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.880728 [9] validation_0-merror:0.3 validation_0-mlogloss:0.863051 [10] validation_0-merror:0.3 validation_0-mlogloss:0.851137 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839646 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.827773 [13] validation_0-merror:0.3 validation_0-mlogloss:0.818229 [14] validation_0-merror:0.3 validation_0-mlogloss:0.807867 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.798084 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.788949 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.777707 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.77193 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.766901 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.761585 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755059 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750149 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.743837 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.734506 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.733858 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.730075 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728005 [28] validation_0-merror:0.3 validation_0-mlogloss:0.72105 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.716067 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.713029 [31] validation_0-merror:0.25 validation_0-mlogloss:0.707768 [32] validation_0-merror:0.25 validation_0-mlogloss:0.705709 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.706251 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.707185 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.707629 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.705992 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.703849 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.704234 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700328 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.698044 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.697567 [42] validation_0-merror:0.3 validation_0-mlogloss:0.696223 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695155 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.697144 [45] validation_0-merror:0.3 validation_0-mlogloss:0.694512 [46] validation_0-merror:0.3 validation_0-mlogloss:0.696217 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.692291 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.690472 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.692642 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689263 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.692339 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.690082 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.690912 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.692384 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.689704 Stopping. Best iteration: [50] validation_0-merror:0.283333 validation_0-mlogloss:0.689263 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0575 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02163 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.989128 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.962048 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.934287 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914695 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.893383 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872555 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854937 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.83781 [10] validation_0-merror:0.35 validation_0-mlogloss:0.822787 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.810389 [12] validation_0-merror:0.35 validation_0-mlogloss:0.799228 [13] validation_0-merror:0.35 validation_0-mlogloss:0.790494 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.787714 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.779943 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.774834 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.76851 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.76709 [19] validation_0-merror:0.35 validation_0-mlogloss:0.760419 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.757726 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.752302 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.75137 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.750972 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.75069 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.746424 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.742987 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737615 [28] validation_0-merror:0.35 validation_0-mlogloss:0.733446 [29] validation_0-merror:0.35 validation_0-mlogloss:0.733393 [30] validation_0-merror:0.35 validation_0-mlogloss:0.734211 [31] validation_0-merror:0.35 validation_0-mlogloss:0.731001 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.730375 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729453 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.732136 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.733198 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.731938 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.736479 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.734284 Stopping. Best iteration: [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729453 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06634 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02809 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.995342 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.973414 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950268 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926975 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.90508 [7] validation_0-merror:0.266667 validation_0-mlogloss:0.887137 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870811 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.858421 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.839715 [11] validation_0-merror:0.3 validation_0-mlogloss:0.828476 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.817025 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.801707 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791059 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789659 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.781863 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.773261 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764961 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759456 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75586 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749605 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.74941 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744752 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74484 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.745519 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.743617 [27] validation_0-merror:0.35 validation_0-mlogloss:0.738458 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.736265 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.738881 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.735155 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.732609 [32] validation_0-merror:0.35 validation_0-mlogloss:0.727665 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729044 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726164 [35] validation_0-merror:0.35 validation_0-mlogloss:0.731138 [36] validation_0-merror:0.35 validation_0-mlogloss:0.731192 [37] validation_0-merror:0.35 validation_0-mlogloss:0.729259 [38] validation_0-merror:0.35 validation_0-mlogloss:0.727762 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.731256 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.726164 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05659 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02433 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993379 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970753 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.941311 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917251 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901316 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890706 [8] validation_0-merror:0.3 validation_0-mlogloss:0.876299 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.862143 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.848812 [11] validation_0-merror:0.3 validation_0-mlogloss:0.835871 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.822599 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809083 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.799409 [15] validation_0-merror:0.3 validation_0-mlogloss:0.786916 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.779198 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769054 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759673 [19] validation_0-merror:0.3 validation_0-mlogloss:0.750192 [20] validation_0-merror:0.3 validation_0-mlogloss:0.743467 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738052 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731234 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727527 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.724402 [25] validation_0-merror:0.3 validation_0-mlogloss:0.719693 [26] validation_0-merror:0.3 validation_0-mlogloss:0.717673 [27] validation_0-merror:0.3 validation_0-mlogloss:0.715106 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713818 [29] validation_0-merror:0.3 validation_0-mlogloss:0.708034 [30] validation_0-merror:0.3 validation_0-mlogloss:0.703866 [31] validation_0-merror:0.3 validation_0-mlogloss:0.69935 [32] validation_0-merror:0.3 validation_0-mlogloss:0.699216 [33] validation_0-merror:0.3 validation_0-mlogloss:0.697383 [34] validation_0-merror:0.3 validation_0-mlogloss:0.696395 [35] validation_0-merror:0.3 validation_0-mlogloss:0.69373 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687208 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681994 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.680673 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67992 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678259 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.675528 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673625 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.670957 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.671466 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.670288 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.669339 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67094 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.668733 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.666964 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.667211 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.668096 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.667576 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.668444 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.667895 Stopping. Best iteration: [50] validation_0-merror:0.266667 validation_0-mlogloss:0.666964 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06173 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0324 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.0066 [3] validation_0-merror:0.4 validation_0-mlogloss:0.987192 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961958 [5] validation_0-merror:0.35 validation_0-mlogloss:0.936442 [6] validation_0-merror:0.35 validation_0-mlogloss:0.92171 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.911402 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.897534 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.883863 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.870499 [11] validation_0-merror:0.35 validation_0-mlogloss:0.855375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.841011 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.828179 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.820683 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.816872 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.808566 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802375 [18] validation_0-merror:0.4 validation_0-mlogloss:0.796988 [19] validation_0-merror:0.4 validation_0-mlogloss:0.788644 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.785776 [21] validation_0-merror:0.4 validation_0-mlogloss:0.783286 [22] validation_0-merror:0.4 validation_0-mlogloss:0.780444 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.775986 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.772234 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.769093 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.764629 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.762103 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.758172 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.756962 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.759091 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.757811 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.751902 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.750518 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744728 [35] validation_0-merror:0.35 validation_0-mlogloss:0.740605 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74171 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.742861 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.737756 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.73835 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.737469 [41] validation_0-merror:0.366667 validation_0-mlogloss:0.733927 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.73232 [43] validation_0-merror:0.35 validation_0-mlogloss:0.730004 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.729487 [45] validation_0-merror:0.383333 validation_0-mlogloss:0.726948 [46] validation_0-merror:0.383333 validation_0-mlogloss:0.730002 [47] validation_0-merror:0.383333 validation_0-mlogloss:0.728317 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.727365 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.726615 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.725043 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.723681 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.723844 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.726321 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.725693 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.724383 [56] validation_0-merror:0.383333 validation_0-mlogloss:0.723928 Stopping. Best iteration: [51] validation_0-merror:0.383333 validation_0-mlogloss:0.723681 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.07327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.04155 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.01652 [3] validation_0-merror:0.4 validation_0-mlogloss:1.00152 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.985254 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.961206 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.946625 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.935171 [8] validation_0-merror:0.35 validation_0-mlogloss:0.917596 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.902731 [10] validation_0-merror:0.35 validation_0-mlogloss:0.883005 [11] validation_0-merror:0.35 validation_0-mlogloss:0.868999 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.851613 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.841103 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.82895 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.823836 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.812416 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803686 [18] validation_0-merror:0.35 validation_0-mlogloss:0.792047 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.781777 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.774064 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.768645 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.761161 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.755038 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748215 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.74289 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.736727 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.731651 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.725794 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.721303 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.721816 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716562 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709711 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705351 [34] validation_0-merror:0.3 validation_0-mlogloss:0.702313 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698983 [36] validation_0-merror:0.3 validation_0-mlogloss:0.69572 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.69191 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68824 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685729 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682432 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678787 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676506 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673309 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671747 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667846 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.667201 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.665654 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.661108 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.658124 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656226 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.654479 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.65334 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.652631 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.652632 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.653778 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.650761 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.64921 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.648383 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.648506 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.647468 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.646241 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.644535 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.644155 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.643584 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.64254 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.641942 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.6405 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.6387 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.639715 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.641949 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.641218 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.642403 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.642405 Stopping. Best iteration: [68] validation_0-merror:0.266667 validation_0-mlogloss:0.6387 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01215 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.957115 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.929859 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.905851 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.888176 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.873387 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854842 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.838351 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825383 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818343 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809114 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800187 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795418 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782865 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773262 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767061 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757972 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.751676 [20] validation_0-merror:0.3 validation_0-mlogloss:0.741776 [21] validation_0-merror:0.3 validation_0-mlogloss:0.735348 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.727575 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.717955 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707466 [25] validation_0-merror:0.3 validation_0-mlogloss:0.70039 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.700221 [27] validation_0-merror:0.3 validation_0-mlogloss:0.695197 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.695328 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.691631 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.686516 [31] validation_0-merror:0.35 validation_0-mlogloss:0.687404 [32] validation_0-merror:0.35 validation_0-mlogloss:0.684374 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.68587 [34] validation_0-merror:0.35 validation_0-mlogloss:0.682112 [35] validation_0-merror:0.35 validation_0-mlogloss:0.679026 [36] validation_0-merror:0.35 validation_0-mlogloss:0.67908 [37] validation_0-merror:0.35 validation_0-mlogloss:0.679552 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.675773 [39] validation_0-merror:0.35 validation_0-mlogloss:0.67262 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.66501 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.65959 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.658362 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.655994 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65095 [45] validation_0-merror:0.3 validation_0-mlogloss:0.646667 [46] validation_0-merror:0.3 validation_0-mlogloss:0.646753 [47] validation_0-merror:0.3 validation_0-mlogloss:0.648397 [48] validation_0-merror:0.3 validation_0-mlogloss:0.64301 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.64445 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.645307 [51] validation_0-merror:0.3 validation_0-mlogloss:0.641073 [52] validation_0-merror:0.3 validation_0-mlogloss:0.637005 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.638897 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.640943 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.642153 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.641613 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.634211 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.636617 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.63685 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.638696 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.638642 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.640709 Stopping. Best iteration: [57] validation_0-merror:0.283333 validation_0-mlogloss:0.634211 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06367 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02924 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.998867 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968215 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.945518 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926565 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.907121 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.892129 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.880298 [9] validation_0-merror:0.4 validation_0-mlogloss:0.870283 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.85955 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.846409 [12] validation_0-merror:0.4 validation_0-mlogloss:0.84049 [13] validation_0-merror:0.4 validation_0-mlogloss:0.830858 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.816996 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.810104 [16] validation_0-merror:0.4 validation_0-mlogloss:0.80411 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.796136 [18] validation_0-merror:0.416667 validation_0-mlogloss:0.788656 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.779019 [20] validation_0-merror:0.4 validation_0-mlogloss:0.773966 [21] validation_0-merror:0.4 validation_0-mlogloss:0.765533 [22] validation_0-merror:0.4 validation_0-mlogloss:0.764531 [23] validation_0-merror:0.4 validation_0-mlogloss:0.760549 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.757581 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.763561 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756244 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75268 [28] validation_0-merror:0.35 validation_0-mlogloss:0.747726 [29] validation_0-merror:0.35 validation_0-mlogloss:0.740309 [30] validation_0-merror:0.35 validation_0-mlogloss:0.739871 [31] validation_0-merror:0.35 validation_0-mlogloss:0.735326 [32] validation_0-merror:0.35 validation_0-mlogloss:0.729966 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.729738 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.723239 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.725294 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.725574 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.72536 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.73374 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.7345 Stopping. Best iteration: [34] validation_0-merror:0.366667 validation_0-mlogloss:0.723239 [0] validation_0-merror:0.45 validation_0-mlogloss:1.05829 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02765 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996339 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965721 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.939109 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918662 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896109 [7] validation_0-merror:0.35 validation_0-mlogloss:0.880849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.864545 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847237 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834608 [11] validation_0-merror:0.35 validation_0-mlogloss:0.823249 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807978 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801521 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.785574 [15] validation_0-merror:0.3 validation_0-mlogloss:0.769306 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.760649 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.748162 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749612 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.739024 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.737706 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.732443 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.729632 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724643 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723027 [25] validation_0-merror:0.3 validation_0-mlogloss:0.723843 [26] validation_0-merror:0.3 validation_0-mlogloss:0.714988 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709535 [28] validation_0-merror:0.3 validation_0-mlogloss:0.701926 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69333 [30] validation_0-merror:0.3 validation_0-mlogloss:0.689063 [31] validation_0-merror:0.3 validation_0-mlogloss:0.68821 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684497 [33] validation_0-merror:0.3 validation_0-mlogloss:0.68101 [34] validation_0-merror:0.3 validation_0-mlogloss:0.679154 [35] validation_0-merror:0.3 validation_0-mlogloss:0.678711 [36] validation_0-merror:0.3 validation_0-mlogloss:0.677499 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.674864 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.673366 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.668203 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.664716 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.658669 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.660252 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.656126 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.655045 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.64991 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.649695 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.649099 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.647663 [49] validation_0-merror:0.25 validation_0-mlogloss:0.649783 [50] validation_0-merror:0.25 validation_0-mlogloss:0.650388 [51] validation_0-merror:0.25 validation_0-mlogloss:0.651524 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.648462 [53] validation_0-merror:0.25 validation_0-mlogloss:0.645396 [54] validation_0-merror:0.25 validation_0-mlogloss:0.647182 [55] validation_0-merror:0.25 validation_0-mlogloss:0.647193 [56] validation_0-merror:0.25 validation_0-mlogloss:0.64432 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.647342 [58] validation_0-merror:0.25 validation_0-mlogloss:0.650317 [59] validation_0-merror:0.25 validation_0-mlogloss:0.648315 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.649554 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.652066 Stopping. Best iteration: [56] validation_0-merror:0.25 validation_0-mlogloss:0.64432 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01882 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985716 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.959843 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.937741 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.917387 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897914 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.882293 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86719 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.853065 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842513 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828249 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813641 [13] validation_0-merror:0.35 validation_0-mlogloss:0.804478 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792855 [15] validation_0-merror:0.35 validation_0-mlogloss:0.78119 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775523 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767473 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.759157 [19] validation_0-merror:0.35 validation_0-mlogloss:0.748415 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743116 [21] validation_0-merror:0.35 validation_0-mlogloss:0.739769 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.731402 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.725833 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.723062 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716011 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.712119 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.712034 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.7068 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.707102 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.707303 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704799 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.704728 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.698576 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.693128 [35] validation_0-merror:0.3 validation_0-mlogloss:0.693797 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.691053 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.691348 [38] validation_0-merror:0.3 validation_0-mlogloss:0.689103 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.690211 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.690911 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.693063 [42] validation_0-merror:0.3 validation_0-mlogloss:0.69182 [43] validation_0-merror:0.3 validation_0-mlogloss:0.691123 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.689103 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05476 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01796 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.987693 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962718 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937965 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921826 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.904217 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.891091 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.874965 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.861528 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.848994 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.839101 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.829631 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.819943 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.80767 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.798418 [16] validation_0-merror:0.4 validation_0-mlogloss:0.794578 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.787632 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.780513 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.773665 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.767557 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.762991 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.759655 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.755734 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.753249 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.747941 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.744446 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.738096 [28] validation_0-merror:0.35 validation_0-mlogloss:0.730976 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.729905 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.728785 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.726812 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.726675 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.722664 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720961 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.720269 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.721902 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719204 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718824 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.720519 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.719731 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.718147 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717472 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.718671 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.722368 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.720306 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.720575 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.719522 Stopping. Best iteration: [42] validation_0-merror:0.333333 validation_0-mlogloss:0.717472 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.995513 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.97594 [4] validation_0-merror:0.35 validation_0-mlogloss:0.947806 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.928278 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.919282 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897538 [8] validation_0-merror:0.35 validation_0-mlogloss:0.889656 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.877901 [10] validation_0-merror:0.35 validation_0-mlogloss:0.866785 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.859452 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.849925 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.837891 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.830366 [15] validation_0-merror:0.35 validation_0-mlogloss:0.818243 [16] validation_0-merror:0.35 validation_0-mlogloss:0.811189 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.800721 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.79639 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.790447 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.788132 [21] validation_0-merror:0.35 validation_0-mlogloss:0.783831 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.78267 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.777406 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.770662 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.766996 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.764135 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.758256 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.757225 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.75631 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.754438 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.751267 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750464 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.7483 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.742434 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.73947 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.733606 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733267 [38] validation_0-merror:0.3 validation_0-mlogloss:0.732009 [39] validation_0-merror:0.3 validation_0-mlogloss:0.727557 [40] validation_0-merror:0.3 validation_0-mlogloss:0.725039 [41] validation_0-merror:0.3 validation_0-mlogloss:0.723374 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720179 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718564 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.715649 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.713651 [46] validation_0-merror:0.3 validation_0-mlogloss:0.711513 [47] validation_0-merror:0.3 validation_0-mlogloss:0.711511 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710254 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.708492 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708729 [51] validation_0-merror:0.3 validation_0-mlogloss:0.707969 [52] validation_0-merror:0.3 validation_0-mlogloss:0.705895 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.703781 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.704397 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.702537 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.702671 [57] validation_0-merror:0.3 validation_0-mlogloss:0.701918 [58] validation_0-merror:0.3 validation_0-mlogloss:0.699435 [59] validation_0-merror:0.3 validation_0-mlogloss:0.698329 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.697871 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.697758 [62] validation_0-merror:0.3 validation_0-mlogloss:0.701306 [63] validation_0-merror:0.3 validation_0-mlogloss:0.702591 [64] validation_0-merror:0.3 validation_0-mlogloss:0.704588 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.702311 [66] validation_0-merror:0.3 validation_0-mlogloss:0.70213 Stopping. Best iteration: [61] validation_0-merror:0.283333 validation_0-mlogloss:0.697758 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05432 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996762 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961435 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940231 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918891 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899607 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.879108 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862226 [9] validation_0-merror:0.35 validation_0-mlogloss:0.846767 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834201 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.820309 [12] validation_0-merror:0.35 validation_0-mlogloss:0.808977 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801437 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788053 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.774662 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765651 [17] validation_0-merror:0.3 validation_0-mlogloss:0.756835 [18] validation_0-merror:0.3 validation_0-mlogloss:0.752274 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749395 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.743496 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737617 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729695 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72454 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719891 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711041 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703669 [27] validation_0-merror:0.3 validation_0-mlogloss:0.702768 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.703149 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.700639 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.694135 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689013 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681853 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.679438 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676461 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.673333 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.67222 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.673766 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.674689 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.671915 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669046 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.665922 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.665697 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.666672 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.662696 [45] validation_0-merror:0.3 validation_0-mlogloss:0.661308 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.659428 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.657521 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.6542 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.654103 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653303 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.655764 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653048 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.656027 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.655872 [55] validation_0-merror:0.25 validation_0-mlogloss:0.654755 [56] validation_0-merror:0.25 validation_0-mlogloss:0.656577 [57] validation_0-merror:0.25 validation_0-mlogloss:0.654814 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.653048 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05697 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02122 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994395 [3] validation_0-merror:0.4 validation_0-mlogloss:0.963677 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939323 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916178 [6] validation_0-merror:0.3 validation_0-mlogloss:0.899888 [7] validation_0-merror:0.3 validation_0-mlogloss:0.883509 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868711 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856286 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.846999 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.840148 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.82791 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820093 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.812156 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.802739 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797042 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792494 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.785051 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.776313 [20] validation_0-merror:0.35 validation_0-mlogloss:0.768007 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.762531 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.758732 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756265 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.756204 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.75054 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.742145 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.739382 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.737939 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73418 [30] validation_0-merror:0.3 validation_0-mlogloss:0.731293 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731518 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726659 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.721481 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.721068 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.720876 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.717956 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.718368 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717688 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.721499 [40] validation_0-merror:0.35 validation_0-mlogloss:0.720447 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.722128 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.720038 [43] validation_0-merror:0.35 validation_0-mlogloss:0.719283 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.717688 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06162 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02419 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995502 [3] validation_0-merror:0.3 validation_0-mlogloss:0.968754 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.94702 [5] validation_0-merror:0.3 validation_0-mlogloss:0.924702 [6] validation_0-merror:0.3 validation_0-mlogloss:0.902362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.885106 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867463 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856766 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.846775 [11] validation_0-merror:0.35 validation_0-mlogloss:0.834811 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823605 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815476 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.805527 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.800097 [16] validation_0-merror:0.3 validation_0-mlogloss:0.796132 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.790008 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.781135 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.778585 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.770054 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.760815 [22] validation_0-merror:0.3 validation_0-mlogloss:0.753178 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.743442 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.736994 [25] validation_0-merror:0.3 validation_0-mlogloss:0.731915 [26] validation_0-merror:0.3 validation_0-mlogloss:0.72478 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721302 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.71489 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.709677 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.705722 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.704068 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.697467 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.697047 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.692631 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.690119 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684696 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.681794 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.680856 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.6792 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.676422 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.676685 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.675594 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.674113 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.672644 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.672854 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.670113 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.67035 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668159 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.670937 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.669442 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.669312 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.668397 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.6699 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.668159 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01811 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.991785 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.962936 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.954847 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928676 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905885 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.889106 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870694 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.852717 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838507 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.823934 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.810909 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802584 [14] validation_0-merror:0.3 validation_0-mlogloss:0.792219 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78538 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77652 [17] validation_0-merror:0.3 validation_0-mlogloss:0.765916 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759496 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753186 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746436 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.74058 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729354 [23] validation_0-merror:0.3 validation_0-mlogloss:0.725439 [24] validation_0-merror:0.3 validation_0-mlogloss:0.7169 [25] validation_0-merror:0.3 validation_0-mlogloss:0.710476 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702515 [27] validation_0-merror:0.3 validation_0-mlogloss:0.700371 [28] validation_0-merror:0.3 validation_0-mlogloss:0.69748 [29] validation_0-merror:0.3 validation_0-mlogloss:0.693618 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.687651 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.682253 [32] validation_0-merror:0.25 validation_0-mlogloss:0.675067 [33] validation_0-merror:0.25 validation_0-mlogloss:0.672149 [34] validation_0-merror:0.25 validation_0-mlogloss:0.669353 [35] validation_0-merror:0.25 validation_0-mlogloss:0.666469 [36] validation_0-merror:0.25 validation_0-mlogloss:0.662048 [37] validation_0-merror:0.25 validation_0-mlogloss:0.663637 [38] validation_0-merror:0.25 validation_0-mlogloss:0.666085 [39] validation_0-merror:0.25 validation_0-mlogloss:0.663435 [40] validation_0-merror:0.25 validation_0-mlogloss:0.66383 [41] validation_0-merror:0.25 validation_0-mlogloss:0.662874 Stopping. Best iteration: [36] validation_0-merror:0.25 validation_0-mlogloss:0.662048 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06455 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03634 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00671 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.979224 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.953014 [5] validation_0-merror:0.3 validation_0-mlogloss:0.930114 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.913455 [7] validation_0-merror:0.35 validation_0-mlogloss:0.899318 [8] validation_0-merror:0.3 validation_0-mlogloss:0.879224 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.864025 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.853435 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.845136 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835842 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.827071 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.817913 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.808807 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.805873 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.801901 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.793 [19] validation_0-merror:0.35 validation_0-mlogloss:0.790214 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.783099 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.779395 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.774734 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.768636 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.767117 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.762345 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.755183 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.755541 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.754028 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751641 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751505 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.751848 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.748244 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.743302 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744977 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.742094 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.741695 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.7418 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.740501 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.740692 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.738927 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.741554 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.741107 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.73906 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.73788 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.736799 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.735763 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.737839 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733519 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.737425 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.737782 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.739312 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.738371 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.738671 Stopping. Best iteration: [48] validation_0-merror:0.333333 validation_0-mlogloss:0.733519 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06861 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.04111 [2] validation_0-merror:0.35 validation_0-mlogloss:1.00945 [3] validation_0-merror:0.35 validation_0-mlogloss:0.984948 [4] validation_0-merror:0.35 validation_0-mlogloss:0.961854 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942788 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.925134 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.910981 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.889733 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.873623 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.861209 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.848962 [12] validation_0-merror:0.3 validation_0-mlogloss:0.835572 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.825223 [14] validation_0-merror:0.35 validation_0-mlogloss:0.813685 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.805428 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.800346 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.79224 [18] validation_0-merror:0.35 validation_0-mlogloss:0.782764 [19] validation_0-merror:0.35 validation_0-mlogloss:0.77576 [20] validation_0-merror:0.35 validation_0-mlogloss:0.775346 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.773609 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765283 [23] validation_0-merror:0.35 validation_0-mlogloss:0.758966 [24] validation_0-merror:0.35 validation_0-mlogloss:0.750466 [25] validation_0-merror:0.35 validation_0-mlogloss:0.744365 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.738347 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.733539 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.726323 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720347 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.716564 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.713824 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.707431 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.708079 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.702882 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700473 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696027 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.6908 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.687325 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.684964 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.681435 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.682107 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.680414 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.678743 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.679253 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.678066 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.674019 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.673907 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673431 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.675625 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.675468 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.675354 [52] validation_0-merror:0.3 validation_0-mlogloss:0.673823 [53] validation_0-merror:0.3 validation_0-mlogloss:0.674942 Stopping. Best iteration: [48] validation_0-merror:0.316667 validation_0-mlogloss:0.673431 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05485 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02649 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.999197 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.970188 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.961305 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.938168 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.922181 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.905799 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.884399 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.866464 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.852381 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.838466 [12] validation_0-merror:0.3 validation_0-mlogloss:0.825815 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.813815 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.803749 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.800039 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.788061 [17] validation_0-merror:0.3 validation_0-mlogloss:0.775816 [18] validation_0-merror:0.3 validation_0-mlogloss:0.772064 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.766641 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.76046 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753004 [22] validation_0-merror:0.3 validation_0-mlogloss:0.748386 [23] validation_0-merror:0.3 validation_0-mlogloss:0.743822 [24] validation_0-merror:0.3 validation_0-mlogloss:0.735762 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734226 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723822 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.71767 [28] validation_0-merror:0.3 validation_0-mlogloss:0.711147 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708268 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.703156 [31] validation_0-merror:0.3 validation_0-mlogloss:0.698687 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.69646 [33] validation_0-merror:0.3 validation_0-mlogloss:0.693949 [34] validation_0-merror:0.3 validation_0-mlogloss:0.691533 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687825 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.684897 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685259 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688095 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684533 [40] validation_0-merror:0.3 validation_0-mlogloss:0.687122 [41] validation_0-merror:0.3 validation_0-mlogloss:0.686178 [42] validation_0-merror:0.3 validation_0-mlogloss:0.682432 [43] validation_0-merror:0.3 validation_0-mlogloss:0.682159 [44] validation_0-merror:0.3 validation_0-mlogloss:0.67961 [45] validation_0-merror:0.3 validation_0-mlogloss:0.677911 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678614 [47] validation_0-merror:0.3 validation_0-mlogloss:0.675081 [48] validation_0-merror:0.3 validation_0-mlogloss:0.67177 [49] validation_0-merror:0.3 validation_0-mlogloss:0.673435 [50] validation_0-merror:0.3 validation_0-mlogloss:0.67015 [51] validation_0-merror:0.3 validation_0-mlogloss:0.671917 [52] validation_0-merror:0.3 validation_0-mlogloss:0.670339 [53] validation_0-merror:0.3 validation_0-mlogloss:0.671873 [54] validation_0-merror:0.3 validation_0-mlogloss:0.671797 [55] validation_0-merror:0.3 validation_0-mlogloss:0.671446 Stopping. Best iteration: [50] validation_0-merror:0.3 validation_0-mlogloss:0.67015 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06397 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.04031 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.007 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.984669 [4] validation_0-merror:0.4 validation_0-mlogloss:0.956879 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.936502 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.916002 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.898781 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.878871 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861852 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.845744 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833852 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82705 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.816185 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.811505 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802492 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797296 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.790883 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.786666 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.77849 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774474 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.76801 [22] validation_0-merror:0.35 validation_0-mlogloss:0.766876 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.762896 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.760781 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.758521 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756263 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.752034 [28] validation_0-merror:0.35 validation_0-mlogloss:0.749122 [29] validation_0-merror:0.35 validation_0-mlogloss:0.746774 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.746225 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.74268 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.742688 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.741792 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.744997 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.743227 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74133 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.743523 [38] validation_0-merror:0.383333 validation_0-mlogloss:0.744125 [39] validation_0-merror:0.383333 validation_0-mlogloss:0.744218 [40] validation_0-merror:0.383333 validation_0-mlogloss:0.742649 [41] validation_0-merror:0.383333 validation_0-mlogloss:0.740086 [42] validation_0-merror:0.383333 validation_0-mlogloss:0.740808 [43] validation_0-merror:0.383333 validation_0-mlogloss:0.73911 [44] validation_0-merror:0.383333 validation_0-mlogloss:0.739447 [45] validation_0-merror:0.366667 validation_0-mlogloss:0.73722 [46] validation_0-merror:0.366667 validation_0-mlogloss:0.737513 [47] validation_0-merror:0.366667 validation_0-mlogloss:0.737023 [48] validation_0-merror:0.383333 validation_0-mlogloss:0.735821 [49] validation_0-merror:0.383333 validation_0-mlogloss:0.73623 [50] validation_0-merror:0.383333 validation_0-mlogloss:0.734774 [51] validation_0-merror:0.383333 validation_0-mlogloss:0.739755 [52] validation_0-merror:0.383333 validation_0-mlogloss:0.741665 [53] validation_0-merror:0.383333 validation_0-mlogloss:0.743291 [54] validation_0-merror:0.383333 validation_0-mlogloss:0.751027 [55] validation_0-merror:0.383333 validation_0-mlogloss:0.748568 Stopping. Best iteration: [50] validation_0-merror:0.383333 validation_0-mlogloss:0.734774 [0] validation_0-merror:0.45 validation_0-mlogloss:1.07103 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0439 [2] validation_0-merror:0.333333 validation_0-mlogloss:1.00815 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.990923 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.966127 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.942377 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.924986 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907973 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.889932 [9] validation_0-merror:0.3 validation_0-mlogloss:0.874469 [10] validation_0-merror:0.3 validation_0-mlogloss:0.853472 [11] validation_0-merror:0.266667 validation_0-mlogloss:0.839534 [12] validation_0-merror:0.25 validation_0-mlogloss:0.824519 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.808929 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.798011 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.793363 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785907 [17] validation_0-merror:0.3 validation_0-mlogloss:0.780969 [18] validation_0-merror:0.3 validation_0-mlogloss:0.774285 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.769281 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.765587 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.756996 [22] validation_0-merror:0.3 validation_0-mlogloss:0.755094 [23] validation_0-merror:0.3 validation_0-mlogloss:0.749298 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.75043 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.746637 [26] validation_0-merror:0.35 validation_0-mlogloss:0.740861 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.734145 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728733 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72434 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.725795 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720788 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.717315 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.716712 [34] validation_0-merror:0.35 validation_0-mlogloss:0.713091 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.711602 [36] validation_0-merror:0.35 validation_0-mlogloss:0.706878 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.703868 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.701952 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.699253 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.693971 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.690322 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.692439 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.689068 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.684513 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.681326 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.682026 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.682853 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.680943 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.682539 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.678573 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.676777 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.672213 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.670771 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.675373 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.673803 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.675523 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.676902 [58] validation_0-merror:0.316667 validation_0-mlogloss:0.675298 Stopping. Best iteration: [53] validation_0-merror:0.316667 validation_0-mlogloss:0.670771 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03201 [2] validation_0-merror:0.4 validation_0-mlogloss:1.00118 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971155 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.948816 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.926938 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.906387 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.889292 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.87342 [9] validation_0-merror:0.35 validation_0-mlogloss:0.86195 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84991 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.837434 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825099 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.813077 [14] validation_0-merror:0.35 validation_0-mlogloss:0.803632 [15] validation_0-merror:0.35 validation_0-mlogloss:0.792411 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.784725 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779658 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.771629 [19] validation_0-merror:0.35 validation_0-mlogloss:0.762989 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754807 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749201 [22] validation_0-merror:0.35 validation_0-mlogloss:0.748092 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.74618 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.743335 [25] validation_0-merror:0.35 validation_0-mlogloss:0.735731 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.732361 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728772 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725916 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.72047 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718481 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.71569 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.715735 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.711574 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.710679 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.709742 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.709292 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.705066 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.70474 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.704544 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.704479 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.70592 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702454 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.703317 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.702638 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.702148 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.699501 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.700511 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.697857 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.695726 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.691852 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.694629 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.693595 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.692935 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.691269 [55] validation_0-merror:0.316667 validation_0-mlogloss:0.690795 [56] validation_0-merror:0.316667 validation_0-mlogloss:0.690704 [57] validation_0-merror:0.316667 validation_0-mlogloss:0.688578 [58] validation_0-merror:0.3 validation_0-mlogloss:0.688653 [59] validation_0-merror:0.3 validation_0-mlogloss:0.69064 [60] validation_0-merror:0.3 validation_0-mlogloss:0.688521 [61] validation_0-merror:0.3 validation_0-mlogloss:0.687738 [62] validation_0-merror:0.3 validation_0-mlogloss:0.684653 [63] validation_0-merror:0.3 validation_0-mlogloss:0.684809 [64] validation_0-merror:0.3 validation_0-mlogloss:0.682651 [65] validation_0-merror:0.3 validation_0-mlogloss:0.683748 [66] validation_0-merror:0.3 validation_0-mlogloss:0.68211 [67] validation_0-merror:0.3 validation_0-mlogloss:0.683165 [68] validation_0-merror:0.3 validation_0-mlogloss:0.68232 [69] validation_0-merror:0.3 validation_0-mlogloss:0.680709 [70] validation_0-merror:0.3 validation_0-mlogloss:0.679275 [71] validation_0-merror:0.3 validation_0-mlogloss:0.678757 [72] validation_0-merror:0.3 validation_0-mlogloss:0.679093 [73] validation_0-merror:0.3 validation_0-mlogloss:0.681408 [74] validation_0-merror:0.3 validation_0-mlogloss:0.681722 [75] validation_0-merror:0.3 validation_0-mlogloss:0.68187 [76] validation_0-merror:0.266667 validation_0-mlogloss:0.680106 Stopping. Best iteration: [71] validation_0-merror:0.3 validation_0-mlogloss:0.678757 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05826 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03014 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.99829 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969273 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.945041 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927552 [6] validation_0-merror:0.35 validation_0-mlogloss:0.910476 [7] validation_0-merror:0.35 validation_0-mlogloss:0.898388 [8] validation_0-merror:0.35 validation_0-mlogloss:0.885459 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875614 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.865245 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.854567 [12] validation_0-merror:0.4 validation_0-mlogloss:0.841016 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.831373 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.821451 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.812326 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.803775 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.799408 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.79387 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.789327 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.781954 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.778444 [22] validation_0-merror:0.35 validation_0-mlogloss:0.770748 [23] validation_0-merror:0.35 validation_0-mlogloss:0.769151 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764092 [25] validation_0-merror:0.35 validation_0-mlogloss:0.761433 [26] validation_0-merror:0.35 validation_0-mlogloss:0.759157 [27] validation_0-merror:0.35 validation_0-mlogloss:0.75667 [28] validation_0-merror:0.35 validation_0-mlogloss:0.754885 [29] validation_0-merror:0.35 validation_0-mlogloss:0.751694 [30] validation_0-merror:0.35 validation_0-mlogloss:0.749319 [31] validation_0-merror:0.35 validation_0-mlogloss:0.746997 [32] validation_0-merror:0.35 validation_0-mlogloss:0.744405 [33] validation_0-merror:0.35 validation_0-mlogloss:0.744618 [34] validation_0-merror:0.35 validation_0-mlogloss:0.743433 [35] validation_0-merror:0.35 validation_0-mlogloss:0.741559 [36] validation_0-merror:0.35 validation_0-mlogloss:0.742555 [37] validation_0-merror:0.35 validation_0-mlogloss:0.738039 [38] validation_0-merror:0.35 validation_0-mlogloss:0.735632 [39] validation_0-merror:0.35 validation_0-mlogloss:0.733218 [40] validation_0-merror:0.35 validation_0-mlogloss:0.733252 [41] validation_0-merror:0.35 validation_0-mlogloss:0.733459 [42] validation_0-merror:0.35 validation_0-mlogloss:0.73395 [43] validation_0-merror:0.35 validation_0-mlogloss:0.735745 [44] validation_0-merror:0.35 validation_0-mlogloss:0.73684 Stopping. Best iteration: [39] validation_0-merror:0.35 validation_0-mlogloss:0.733218 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03114 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.997493 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971589 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948869 [5] validation_0-merror:0.3 validation_0-mlogloss:0.926473 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905896 [7] validation_0-merror:0.35 validation_0-mlogloss:0.897186 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876178 [9] validation_0-merror:0.3 validation_0-mlogloss:0.867455 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.862827 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.85701 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.847907 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.839297 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.826326 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.817749 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.803161 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.794891 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.788027 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.778926 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.772487 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762982 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.759601 [23] validation_0-merror:0.3 validation_0-mlogloss:0.75305 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745517 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740503 [26] validation_0-merror:0.3 validation_0-mlogloss:0.735307 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.732288 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.726912 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.720253 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719754 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.714164 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.711252 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.707682 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.7052 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700531 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.696272 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694753 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.691393 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.688876 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.684875 [41] validation_0-merror:0.3 validation_0-mlogloss:0.680367 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680377 [43] validation_0-merror:0.3 validation_0-mlogloss:0.680107 [44] validation_0-merror:0.3 validation_0-mlogloss:0.680429 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.676812 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.676237 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.67747 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67732 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.677888 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.678082 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.677057 Stopping. Best iteration: [46] validation_0-merror:0.266667 validation_0-mlogloss:0.676237 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05912 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.02403 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.995271 [3] validation_0-merror:0.433333 validation_0-mlogloss:0.968259 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.948169 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.92899 [6] validation_0-merror:0.4 validation_0-mlogloss:0.911982 [7] validation_0-merror:0.4 validation_0-mlogloss:0.898171 [8] validation_0-merror:0.433333 validation_0-mlogloss:0.886244 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.873287 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.859437 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.850398 [12] validation_0-merror:0.4 validation_0-mlogloss:0.834789 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.823533 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814723 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.803935 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.796539 [17] validation_0-merror:0.35 validation_0-mlogloss:0.78672 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.779657 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.769546 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.764554 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.758892 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.754619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749056 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.747109 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742895 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.737316 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.738705 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.739922 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73757 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.736299 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.73708 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73565 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.734738 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728741 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.730692 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.728619 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727762 [38] validation_0-merror:0.3 validation_0-mlogloss:0.724267 [39] validation_0-merror:0.3 validation_0-mlogloss:0.721825 [40] validation_0-merror:0.3 validation_0-mlogloss:0.71826 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718992 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.719313 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.718798 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.716239 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.712614 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.710926 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.708359 [48] validation_0-merror:0.333333 validation_0-mlogloss:0.709362 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.711985 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.710323 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.712937 [52] validation_0-merror:0.333333 validation_0-mlogloss:0.709187 Stopping. Best iteration: [47] validation_0-merror:0.333333 validation_0-mlogloss:0.708359 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05601 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02212 [2] validation_0-merror:0.35 validation_0-mlogloss:0.992362 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969757 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945534 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.927752 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.910943 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.895952 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.880061 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.866206 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.853044 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.843404 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.835992 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822886 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.810569 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802698 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.797421 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.789842 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.782247 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.776835 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.774668 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768519 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.764985 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.760232 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.755599 [25] validation_0-merror:0.35 validation_0-mlogloss:0.751559 [26] validation_0-merror:0.366667 validation_0-mlogloss:0.748608 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.744534 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.739378 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.737797 [30] validation_0-merror:0.35 validation_0-mlogloss:0.73706 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.735227 [32] validation_0-merror:0.35 validation_0-mlogloss:0.732103 [33] validation_0-merror:0.35 validation_0-mlogloss:0.730115 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.728809 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.72691 [36] validation_0-merror:0.35 validation_0-mlogloss:0.729454 [37] validation_0-merror:0.35 validation_0-mlogloss:0.726831 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.725748 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724356 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.725005 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.724658 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.725149 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.726075 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.724968 Stopping. Best iteration: [39] validation_0-merror:0.333333 validation_0-mlogloss:0.724356 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05737 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02412 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.994563 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.975064 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.948229 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.931659 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.916934 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.900914 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.890337 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.882763 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.86947 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.864794 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.854751 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.845178 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.836971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.829775 [16] validation_0-merror:0.35 validation_0-mlogloss:0.822792 [17] validation_0-merror:0.35 validation_0-mlogloss:0.820153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.813469 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.807123 [20] validation_0-merror:0.35 validation_0-mlogloss:0.802133 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.798147 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.793569 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.783745 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.779265 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.774073 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.767268 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.763512 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.762569 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.755765 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.752968 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.750914 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.744984 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.742919 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739444 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737868 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.733592 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.733538 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.727928 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.727318 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.724796 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.7256 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.720044 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.720867 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.71748 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.715706 [47] validation_0-merror:0.3 validation_0-mlogloss:0.715212 [48] validation_0-merror:0.3 validation_0-mlogloss:0.713944 [49] validation_0-merror:0.3 validation_0-mlogloss:0.710792 [50] validation_0-merror:0.3 validation_0-mlogloss:0.71215 [51] validation_0-merror:0.3 validation_0-mlogloss:0.712917 [52] validation_0-merror:0.3 validation_0-mlogloss:0.711708 [53] validation_0-merror:0.3 validation_0-mlogloss:0.709136 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.708612 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.706591 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.705346 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.703422 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.703091 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.701584 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.702724 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.701569 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.701302 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.699243 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.698638 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.70094 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.69925 [67] validation_0-merror:0.25 validation_0-mlogloss:0.70019 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.700237 [69] validation_0-merror:0.25 validation_0-mlogloss:0.699311 Stopping. Best iteration: [64] validation_0-merror:0.283333 validation_0-mlogloss:0.698638 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04541 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00994 [2] validation_0-merror:0.3 validation_0-mlogloss:0.978839 [3] validation_0-merror:0.3 validation_0-mlogloss:0.942614 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.921246 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.89222 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.869119 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.849286 [8] validation_0-merror:0.3 validation_0-mlogloss:0.830061 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.81162 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.799525 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.784699 [12] validation_0-merror:0.35 validation_0-mlogloss:0.773025 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.759957 [14] validation_0-merror:0.35 validation_0-mlogloss:0.751979 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.739769 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.72992 [17] validation_0-merror:0.3 validation_0-mlogloss:0.721534 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.718499 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.716458 [20] validation_0-merror:0.3 validation_0-mlogloss:0.709806 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.70564 [22] validation_0-merror:0.3 validation_0-mlogloss:0.698287 [23] validation_0-merror:0.3 validation_0-mlogloss:0.697043 [24] validation_0-merror:0.3 validation_0-mlogloss:0.693858 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.693843 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.688023 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.688515 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.686411 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.687377 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.681387 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.680215 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.676565 [33] validation_0-merror:0.3 validation_0-mlogloss:0.676184 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678431 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.679672 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678746 [37] validation_0-merror:0.3 validation_0-mlogloss:0.681894 [38] validation_0-merror:0.3 validation_0-mlogloss:0.681197 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.676184 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05428 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.00838 [2] validation_0-merror:0.3 validation_0-mlogloss:0.976354 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.942897 [4] validation_0-merror:0.3 validation_0-mlogloss:0.916344 [5] validation_0-merror:0.3 validation_0-mlogloss:0.887389 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.867337 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.848347 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.82419 [9] validation_0-merror:0.3 validation_0-mlogloss:0.811029 [10] validation_0-merror:0.3 validation_0-mlogloss:0.803124 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.799737 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.791555 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786045 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.777633 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770467 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.76683 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.760269 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75511 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750466 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744762 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744937 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741169 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741041 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.74648 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.742512 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.740444 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740164 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.740795 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.739151 [30] validation_0-merror:0.3 validation_0-mlogloss:0.738818 [31] validation_0-merror:0.35 validation_0-mlogloss:0.743926 [32] validation_0-merror:0.35 validation_0-mlogloss:0.743013 [33] validation_0-merror:0.35 validation_0-mlogloss:0.739047 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.739183 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738536 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.74175 [37] validation_0-merror:0.366667 validation_0-mlogloss:0.743638 [38] validation_0-merror:0.366667 validation_0-mlogloss:0.747853 [39] validation_0-merror:0.366667 validation_0-mlogloss:0.756098 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.757919 Stopping. Best iteration: [35] validation_0-merror:0.366667 validation_0-mlogloss:0.738536 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05149 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0137 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981471 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962592 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.936281 [5] validation_0-merror:0.35 validation_0-mlogloss:0.916223 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.900423 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.888913 [8] validation_0-merror:0.3 validation_0-mlogloss:0.86569 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854966 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849211 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.83402 [12] validation_0-merror:0.3 validation_0-mlogloss:0.82162 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.810091 [14] validation_0-merror:0.3 validation_0-mlogloss:0.797663 [15] validation_0-merror:0.3 validation_0-mlogloss:0.790782 [16] validation_0-merror:0.3 validation_0-mlogloss:0.788356 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777688 [18] validation_0-merror:0.3 validation_0-mlogloss:0.771289 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765409 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.760772 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.761068 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754173 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.750666 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.746571 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.748117 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.748193 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.747585 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744717 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.73914 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.737259 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.736261 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.734801 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.738081 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.733477 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.736832 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.731347 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.732082 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.732959 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.731014 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.725849 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.726523 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.726617 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.727333 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.731757 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.732525 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.725849 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05514 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02216 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.987828 [3] validation_0-merror:0.35 validation_0-mlogloss:0.962558 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931228 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.907037 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890929 [7] validation_0-merror:0.35 validation_0-mlogloss:0.877917 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.860806 [9] validation_0-merror:0.35 validation_0-mlogloss:0.849421 [10] validation_0-merror:0.4 validation_0-mlogloss:0.840793 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.824502 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804916 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.788734 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.778972 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772275 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.760529 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752153 [18] validation_0-merror:0.35 validation_0-mlogloss:0.743439 [19] validation_0-merror:0.35 validation_0-mlogloss:0.736704 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.7312 [21] validation_0-merror:0.35 validation_0-mlogloss:0.726211 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.722403 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.718273 [24] validation_0-merror:0.35 validation_0-mlogloss:0.714156 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.708719 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.708073 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.704996 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70123 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69742 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.696184 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694842 [32] validation_0-merror:0.3 validation_0-mlogloss:0.692736 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691813 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692193 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.694366 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.693272 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694522 [38] validation_0-merror:0.3 validation_0-mlogloss:0.693091 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.691813 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03093 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.998903 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.980272 [4] validation_0-merror:0.35 validation_0-mlogloss:0.956976 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.933766 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.919272 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.909245 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.897311 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.886954 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.87325 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.856937 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.839306 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.827836 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.820006 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.812043 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.803357 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.79778 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.792241 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.786123 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.781089 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778006 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.775442 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.772488 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.772358 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.76909 [26] validation_0-merror:0.35 validation_0-mlogloss:0.769651 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769705 [28] validation_0-merror:0.35 validation_0-mlogloss:0.764892 [29] validation_0-merror:0.35 validation_0-mlogloss:0.766098 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76799 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.766965 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.769048 [33] validation_0-merror:0.366667 validation_0-mlogloss:0.768689 Stopping. Best iteration: [28] validation_0-merror:0.35 validation_0-mlogloss:0.764892 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05801 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0313 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00026 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.979926 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.95676 [5] validation_0-merror:0.35 validation_0-mlogloss:0.93193 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.917078 [7] validation_0-merror:0.35 validation_0-mlogloss:0.903905 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.885211 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.869346 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.856187 [11] validation_0-merror:0.3 validation_0-mlogloss:0.839551 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.81975 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.806621 [14] validation_0-merror:0.3 validation_0-mlogloss:0.800638 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789051 [16] validation_0-merror:0.3 validation_0-mlogloss:0.780384 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774007 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76675 [19] validation_0-merror:0.3 validation_0-mlogloss:0.760495 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.75357 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754279 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.749003 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.744819 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738703 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733822 [26] validation_0-merror:0.3 validation_0-mlogloss:0.732076 [27] validation_0-merror:0.3 validation_0-mlogloss:0.728227 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72347 [29] validation_0-merror:0.3 validation_0-mlogloss:0.721238 [30] validation_0-merror:0.3 validation_0-mlogloss:0.722602 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.724732 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.722597 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.720932 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.716383 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.715936 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715265 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.717285 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.716045 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.717301 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.714783 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.713195 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712077 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.712142 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.715794 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.714431 [46] validation_0-merror:0.3 validation_0-mlogloss:0.717739 [47] validation_0-merror:0.3 validation_0-mlogloss:0.716427 Stopping. Best iteration: [42] validation_0-merror:0.316667 validation_0-mlogloss:0.712077 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.04813 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01315 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.980018 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.950213 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.925624 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904816 [6] validation_0-merror:0.35 validation_0-mlogloss:0.885702 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869619 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.855528 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.837976 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.824725 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.816801 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.808629 [13] validation_0-merror:0.35 validation_0-mlogloss:0.797647 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793597 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.786293 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775781 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769306 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761783 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755442 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748966 [21] validation_0-merror:0.3 validation_0-mlogloss:0.744575 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.741343 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.734208 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.726232 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.720445 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.720323 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.714285 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.711196 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.709033 [30] validation_0-merror:0.3 validation_0-mlogloss:0.709399 [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [32] validation_0-merror:0.3 validation_0-mlogloss:0.70917 [33] validation_0-merror:0.3 validation_0-mlogloss:0.708785 [34] validation_0-merror:0.3 validation_0-mlogloss:0.707934 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.710115 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.713005 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.707705 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06472 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02557 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.993479 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959867 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.936457 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91703 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896423 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881522 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.862467 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.853431 [10] validation_0-merror:0.4 validation_0-mlogloss:0.842836 [11] validation_0-merror:0.4 validation_0-mlogloss:0.830309 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.826137 [13] validation_0-merror:0.4 validation_0-mlogloss:0.817362 [14] validation_0-merror:0.4 validation_0-mlogloss:0.809089 [15] validation_0-merror:0.4 validation_0-mlogloss:0.80205 [16] validation_0-merror:0.4 validation_0-mlogloss:0.790312 [17] validation_0-merror:0.4 validation_0-mlogloss:0.786761 [18] validation_0-merror:0.4 validation_0-mlogloss:0.783076 [19] validation_0-merror:0.4 validation_0-mlogloss:0.77771 [20] validation_0-merror:0.4 validation_0-mlogloss:0.772962 [21] validation_0-merror:0.4 validation_0-mlogloss:0.764817 [22] validation_0-merror:0.4 validation_0-mlogloss:0.76327 [23] validation_0-merror:0.4 validation_0-mlogloss:0.760614 [24] validation_0-merror:0.4 validation_0-mlogloss:0.758229 [25] validation_0-merror:0.4 validation_0-mlogloss:0.762286 [26] validation_0-merror:0.4 validation_0-mlogloss:0.754891 [27] validation_0-merror:0.4 validation_0-mlogloss:0.751623 [28] validation_0-merror:0.4 validation_0-mlogloss:0.75057 [29] validation_0-merror:0.4 validation_0-mlogloss:0.747353 [30] validation_0-merror:0.4 validation_0-mlogloss:0.749661 [31] validation_0-merror:0.4 validation_0-mlogloss:0.751536 [32] validation_0-merror:0.4 validation_0-mlogloss:0.748193 [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [34] validation_0-merror:0.4 validation_0-mlogloss:0.748897 [35] validation_0-merror:0.4 validation_0-mlogloss:0.752565 [36] validation_0-merror:0.4 validation_0-mlogloss:0.753208 [37] validation_0-merror:0.4 validation_0-mlogloss:0.754637 [38] validation_0-merror:0.4 validation_0-mlogloss:0.762425 Stopping. Best iteration: [33] validation_0-merror:0.4 validation_0-mlogloss:0.746901 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.03036 [2] validation_0-merror:0.4 validation_0-mlogloss:0.999297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970285 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945141 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925114 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908511 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.894312 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.878199 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.862619 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.856526 [11] validation_0-merror:0.35 validation_0-mlogloss:0.843916 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828743 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.822225 [14] validation_0-merror:0.35 validation_0-mlogloss:0.8102 [15] validation_0-merror:0.35 validation_0-mlogloss:0.801372 [16] validation_0-merror:0.35 validation_0-mlogloss:0.794555 [17] validation_0-merror:0.35 validation_0-mlogloss:0.785417 [18] validation_0-merror:0.35 validation_0-mlogloss:0.785101 [19] validation_0-merror:0.35 validation_0-mlogloss:0.777503 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77713 [21] validation_0-merror:0.35 validation_0-mlogloss:0.773207 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767143 [23] validation_0-merror:0.35 validation_0-mlogloss:0.760301 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.75563 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752391 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.749943 [27] validation_0-merror:0.35 validation_0-mlogloss:0.74842 [28] validation_0-merror:0.35 validation_0-mlogloss:0.745236 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.742676 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.739497 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.737564 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736347 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.734216 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.731766 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.735905 [37] validation_0-merror:0.35 validation_0-mlogloss:0.732356 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.735569 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732293 Stopping. Best iteration: [34] validation_0-merror:0.333333 validation_0-mlogloss:0.731196 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05327 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01487 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.9759 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.948841 [4] validation_0-merror:0.3 validation_0-mlogloss:0.918652 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.895757 [6] validation_0-merror:0.3 validation_0-mlogloss:0.876043 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859667 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.844285 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.837048 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825584 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811361 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.799912 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.791167 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.782213 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.773195 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765058 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759991 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758368 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75538 [20] validation_0-merror:0.3 validation_0-mlogloss:0.750671 [21] validation_0-merror:0.3 validation_0-mlogloss:0.747176 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748231 [23] validation_0-merror:0.3 validation_0-mlogloss:0.742696 [24] validation_0-merror:0.3 validation_0-mlogloss:0.741391 [25] validation_0-merror:0.3 validation_0-mlogloss:0.739109 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.73715 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.735368 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.734723 [29] validation_0-merror:0.3 validation_0-mlogloss:0.731443 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.731933 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.732754 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.73286 [33] validation_0-merror:0.3 validation_0-mlogloss:0.733284 [34] validation_0-merror:0.3 validation_0-mlogloss:0.731747 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.731443 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.05376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.018 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98199 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.957812 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926232 [5] validation_0-merror:0.35 validation_0-mlogloss:0.902773 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882169 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86483 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.849448 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.837214 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823973 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812791 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.802634 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798652 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.79083 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783699 [16] validation_0-merror:0.35 validation_0-mlogloss:0.783131 [17] validation_0-merror:0.35 validation_0-mlogloss:0.778912 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.781233 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.777746 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.778363 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.778457 [22] validation_0-merror:0.3 validation_0-mlogloss:0.774416 [23] validation_0-merror:0.3 validation_0-mlogloss:0.7737 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773554 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.776237 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.778438 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.784836 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.783242 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.786798 Stopping. Best iteration: [24] validation_0-merror:0.316667 validation_0-mlogloss:0.773554 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05676 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02229 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983601 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.953458 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.922151 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.897783 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.874651 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861708 [8] validation_0-merror:0.35 validation_0-mlogloss:0.848241 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840027 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830173 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.8195 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.80549 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.802011 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792683 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.785956 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.773772 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.767435 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.765407 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760916 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.7627 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.7603 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.757995 [23] validation_0-merror:0.3 validation_0-mlogloss:0.753642 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.748967 [25] validation_0-merror:0.3 validation_0-mlogloss:0.747721 [26] validation_0-merror:0.3 validation_0-mlogloss:0.74756 [27] validation_0-merror:0.3 validation_0-mlogloss:0.747695 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.746816 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.748821 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.75028 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.752889 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.75511 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.755123 Stopping. Best iteration: [28] validation_0-merror:0.316667 validation_0-mlogloss:0.746816 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0504 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01679 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.981501 [3] validation_0-merror:0.4 validation_0-mlogloss:0.953698 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.932855 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.911086 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889759 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870229 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.852128 [9] validation_0-merror:0.35 validation_0-mlogloss:0.835111 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.822358 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805683 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.794167 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786294 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.779969 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.772543 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.764432 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763352 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.755185 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.751771 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.746576 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747056 [22] validation_0-merror:0.3 validation_0-mlogloss:0.742505 [23] validation_0-merror:0.3 validation_0-mlogloss:0.737377 [24] validation_0-merror:0.3 validation_0-mlogloss:0.73383 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.728619 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.726883 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.721601 [28] validation_0-merror:0.3 validation_0-mlogloss:0.718001 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.719964 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.716425 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714893 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.715111 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.716718 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.718332 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.716 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.715783 Stopping. Best iteration: [31] validation_0-merror:0.283333 validation_0-mlogloss:0.714893 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05652 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01859 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984893 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.95369 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.929516 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913962 [6] validation_0-merror:0.4 validation_0-mlogloss:0.899117 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.887758 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.873805 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.85748 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.842415 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833568 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.823851 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.814303 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.806346 [15] validation_0-merror:0.416667 validation_0-mlogloss:0.802536 [16] validation_0-merror:0.4 validation_0-mlogloss:0.795911 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.78853 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.779431 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774635 [20] validation_0-merror:0.4 validation_0-mlogloss:0.774252 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.768162 [22] validation_0-merror:0.4 validation_0-mlogloss:0.769239 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.765236 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.766692 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.766927 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.758958 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.758422 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.761568 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.762656 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.763908 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.763707 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.761293 Stopping. Best iteration: [27] validation_0-merror:0.383333 validation_0-mlogloss:0.758422 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05887 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.994168 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.9616 [4] validation_0-merror:0.283333 validation_0-mlogloss:0.939726 [5] validation_0-merror:0.3 validation_0-mlogloss:0.923532 [6] validation_0-merror:0.3 validation_0-mlogloss:0.903311 [7] validation_0-merror:0.3 validation_0-mlogloss:0.88574 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.875029 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.86751 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.851802 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.842485 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.83437 [13] validation_0-merror:0.3 validation_0-mlogloss:0.829905 [14] validation_0-merror:0.3 validation_0-mlogloss:0.821908 [15] validation_0-merror:0.3 validation_0-mlogloss:0.816407 [16] validation_0-merror:0.3 validation_0-mlogloss:0.813 [17] validation_0-merror:0.3 validation_0-mlogloss:0.80906 [18] validation_0-merror:0.3 validation_0-mlogloss:0.804461 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.791579 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.786963 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.789148 [22] validation_0-merror:0.3 validation_0-mlogloss:0.786028 [23] validation_0-merror:0.3 validation_0-mlogloss:0.782875 [24] validation_0-merror:0.3 validation_0-mlogloss:0.782179 [25] validation_0-merror:0.3 validation_0-mlogloss:0.785141 [26] validation_0-merror:0.3 validation_0-mlogloss:0.781686 [27] validation_0-merror:0.3 validation_0-mlogloss:0.779089 [28] validation_0-merror:0.3 validation_0-mlogloss:0.782253 [29] validation_0-merror:0.3 validation_0-mlogloss:0.779684 [30] validation_0-merror:0.3 validation_0-mlogloss:0.778055 [31] validation_0-merror:0.3 validation_0-mlogloss:0.774742 [32] validation_0-merror:0.3 validation_0-mlogloss:0.773274 [33] validation_0-merror:0.3 validation_0-mlogloss:0.771824 [34] validation_0-merror:0.3 validation_0-mlogloss:0.770439 [35] validation_0-merror:0.3 validation_0-mlogloss:0.775134 [36] validation_0-merror:0.3 validation_0-mlogloss:0.774881 [37] validation_0-merror:0.3 validation_0-mlogloss:0.773437 [38] validation_0-merror:0.3 validation_0-mlogloss:0.769903 [39] validation_0-merror:0.3 validation_0-mlogloss:0.770235 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.769055 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.767758 [42] validation_0-merror:0.3 validation_0-mlogloss:0.766233 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.763651 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.760731 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.762917 [46] validation_0-merror:0.3 validation_0-mlogloss:0.761793 [47] validation_0-merror:0.3 validation_0-mlogloss:0.760957 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.760898 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.760442 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.760774 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.76198 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.766387 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.765581 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.764257 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.760442 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.04922 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0094 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.976195 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.949984 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926895 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.908234 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889931 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.87593 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863028 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.85097 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84166 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.831375 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820252 [13] validation_0-merror:0.35 validation_0-mlogloss:0.812143 [14] validation_0-merror:0.35 validation_0-mlogloss:0.805389 [15] validation_0-merror:0.35 validation_0-mlogloss:0.797279 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.790504 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.787732 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785045 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.783639 [20] validation_0-merror:0.35 validation_0-mlogloss:0.783856 [21] validation_0-merror:0.35 validation_0-mlogloss:0.781297 [22] validation_0-merror:0.35 validation_0-mlogloss:0.775608 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771942 [24] validation_0-merror:0.35 validation_0-mlogloss:0.764041 [25] validation_0-merror:0.35 validation_0-mlogloss:0.760196 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753261 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750666 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747336 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.745721 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.742996 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.743457 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.740646 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.741765 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.740868 [35] validation_0-merror:0.3 validation_0-mlogloss:0.743736 [36] validation_0-merror:0.3 validation_0-mlogloss:0.742711 [37] validation_0-merror:0.3 validation_0-mlogloss:0.74021 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.744303 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.745194 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.745941 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.745493 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.746942 Stopping. Best iteration: [37] validation_0-merror:0.3 validation_0-mlogloss:0.74021 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04768 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00777 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.974933 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.947148 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.923004 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.900693 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.881207 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.86428 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.848709 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.836951 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830673 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.822705 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.81575 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808998 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.807554 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.802816 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798283 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.792252 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.791123 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.786978 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.784244 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.783267 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.782184 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.780606 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.77505 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.774503 [26] validation_0-merror:0.35 validation_0-mlogloss:0.772607 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.770997 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.77083 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770793 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.771944 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.77644 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.780503 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.783348 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.787884 Stopping. Best iteration: [29] validation_0-merror:0.366667 validation_0-mlogloss:0.770793 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.0529 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01398 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978067 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.958837 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932339 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.910499 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.896172 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883655 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.871181 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.859054 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.852208 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.840485 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.82971 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827039 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.825983 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.82296 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.81692 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.815944 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.811859 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.807218 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.81021 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.804168 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.802984 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.797831 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.796839 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.795279 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.791291 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.78867 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784194 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.781808 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.775339 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.773154 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.771963 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.773099 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.770066 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.771921 [36] validation_0-merror:0.3 validation_0-mlogloss:0.769482 [37] validation_0-merror:0.3 validation_0-mlogloss:0.769368 [38] validation_0-merror:0.3 validation_0-mlogloss:0.767891 [39] validation_0-merror:0.3 validation_0-mlogloss:0.767675 [40] validation_0-merror:0.3 validation_0-mlogloss:0.768115 [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [42] validation_0-merror:0.3 validation_0-mlogloss:0.766948 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.766511 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.767545 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.766775 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.766563 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.766335 [0] validation_0-merror:0.316667 validation_0-mlogloss:1.05144 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01473 [2] validation_0-merror:0.35 validation_0-mlogloss:0.980782 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.956461 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.923612 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.898528 [6] validation_0-merror:0.3 validation_0-mlogloss:0.880875 [7] validation_0-merror:0.3 validation_0-mlogloss:0.870922 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.855183 [9] validation_0-merror:0.3 validation_0-mlogloss:0.841326 [10] validation_0-merror:0.3 validation_0-mlogloss:0.829177 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.812271 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.792662 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.778001 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.768371 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.759899 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.751537 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.743611 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.736753 [19] validation_0-merror:0.25 validation_0-mlogloss:0.728498 [20] validation_0-merror:0.25 validation_0-mlogloss:0.724012 [21] validation_0-merror:0.266667 validation_0-mlogloss:0.720533 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.715502 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.710624 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.708136 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.703154 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.699174 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.696605 [28] validation_0-merror:0.25 validation_0-mlogloss:0.694438 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.688679 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.688517 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.68343 [32] validation_0-merror:0.25 validation_0-mlogloss:0.678998 [33] validation_0-merror:0.25 validation_0-mlogloss:0.673337 [34] validation_0-merror:0.25 validation_0-mlogloss:0.673729 [35] validation_0-merror:0.25 validation_0-mlogloss:0.671943 [36] validation_0-merror:0.25 validation_0-mlogloss:0.66979 [37] validation_0-merror:0.233333 validation_0-mlogloss:0.669453 [38] validation_0-merror:0.233333 validation_0-mlogloss:0.669261 [39] validation_0-merror:0.233333 validation_0-mlogloss:0.669421 [40] validation_0-merror:0.233333 validation_0-mlogloss:0.667679 [41] validation_0-merror:0.233333 validation_0-mlogloss:0.667057 [42] validation_0-merror:0.233333 validation_0-mlogloss:0.664644 [43] validation_0-merror:0.233333 validation_0-mlogloss:0.665018 [44] validation_0-merror:0.233333 validation_0-mlogloss:0.664505 [45] validation_0-merror:0.233333 validation_0-mlogloss:0.661917 [46] validation_0-merror:0.233333 validation_0-mlogloss:0.660993 [47] validation_0-merror:0.233333 validation_0-mlogloss:0.660493 [48] validation_0-merror:0.233333 validation_0-mlogloss:0.661137 [49] validation_0-merror:0.25 validation_0-mlogloss:0.661688 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.661751 [51] validation_0-merror:0.25 validation_0-mlogloss:0.660358 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659923 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.659448 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.660848 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.662112 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.6606 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.660319 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.658964 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.658375 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.658633 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.658155 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.65703 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.657606 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.655388 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.654301 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.654541 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.656904 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.657423 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.658089 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.655189 Stopping. Best iteration: [65] validation_0-merror:0.266667 validation_0-mlogloss:0.654301 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0579 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03241 [2] validation_0-merror:0.383333 validation_0-mlogloss:1.00428 [3] validation_0-merror:0.35 validation_0-mlogloss:0.983382 [4] validation_0-merror:0.35 validation_0-mlogloss:0.951774 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.928467 [6] validation_0-merror:0.35 validation_0-mlogloss:0.915977 [7] validation_0-merror:0.35 validation_0-mlogloss:0.907153 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.896561 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.884536 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.873269 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.857722 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.842197 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.82815 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.821971 [15] validation_0-merror:0.35 validation_0-mlogloss:0.813943 [16] validation_0-merror:0.35 validation_0-mlogloss:0.807964 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.803036 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.803092 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.795217 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.796594 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.792319 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.7907 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.787585 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.785879 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.783837 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.786241 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.78399 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.784497 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.783078 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.785796 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.784911 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.782643 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.78378 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.782458 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.781169 [36] validation_0-merror:0.35 validation_0-mlogloss:0.787323 [37] validation_0-merror:0.35 validation_0-mlogloss:0.791703 [38] validation_0-merror:0.35 validation_0-mlogloss:0.791312 [39] validation_0-merror:0.35 validation_0-mlogloss:0.795223 [40] validation_0-merror:0.35 validation_0-mlogloss:0.793857 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.781169 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06658 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.03362 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.99884 [3] validation_0-merror:0.35 validation_0-mlogloss:0.981844 [4] validation_0-merror:0.35 validation_0-mlogloss:0.955739 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.928932 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.908183 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893516 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.874108 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854952 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.840397 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.833609 [12] validation_0-merror:0.3 validation_0-mlogloss:0.811133 [13] validation_0-merror:0.3 validation_0-mlogloss:0.794134 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791046 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779485 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.768175 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759942 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.753456 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.746555 [20] validation_0-merror:0.3 validation_0-mlogloss:0.74156 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740811 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736863 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727994 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720921 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.716071 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.715505 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.709141 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704232 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.70246 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.704018 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.707765 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.703117 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.700769 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.695715 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692976 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.696977 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.702627 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.69966 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.699119 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.697108 Stopping. Best iteration: [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692976 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05608 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.02619 [2] validation_0-merror:0.35 validation_0-mlogloss:0.991943 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.962304 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943644 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921158 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.900269 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.881454 [8] validation_0-merror:0.3 validation_0-mlogloss:0.864947 [9] validation_0-merror:0.3 validation_0-mlogloss:0.845325 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.834354 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.817277 [12] validation_0-merror:0.3 validation_0-mlogloss:0.804048 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.794403 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.787622 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.777229 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769624 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.764741 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758165 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753868 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.744674 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737683 [22] validation_0-merror:0.3 validation_0-mlogloss:0.726866 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719091 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712691 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709185 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70537 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.700946 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.696503 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69491 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691413 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689436 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.688652 [33] validation_0-merror:0.3 validation_0-mlogloss:0.688363 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.685497 [35] validation_0-merror:0.3 validation_0-mlogloss:0.679978 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.678479 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.676155 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.672787 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671293 [40] validation_0-merror:0.3 validation_0-mlogloss:0.669349 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.664776 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.663596 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.663028 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.660879 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.65811 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660106 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660837 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660885 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662049 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.6603 Stopping. Best iteration: [45] validation_0-merror:0.266667 validation_0-mlogloss:0.65811 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05695 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.45 validation_0-mlogloss:1.02448 [2] validation_0-merror:0.4 validation_0-mlogloss:0.994924 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960939 [4] validation_0-merror:0.416667 validation_0-mlogloss:0.941183 [5] validation_0-merror:0.433333 validation_0-mlogloss:0.925108 [6] validation_0-merror:0.4 validation_0-mlogloss:0.907552 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.896485 [8] validation_0-merror:0.4 validation_0-mlogloss:0.88438 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.873334 [10] validation_0-merror:0.4 validation_0-mlogloss:0.860382 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.851408 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.8405 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.829363 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.816939 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806767 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.798822 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.793961 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.785291 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.778113 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.772308 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.764978 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.767795 [23] validation_0-merror:0.35 validation_0-mlogloss:0.765945 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.763789 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.762472 [26] validation_0-merror:0.35 validation_0-mlogloss:0.756298 [27] validation_0-merror:0.35 validation_0-mlogloss:0.752126 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.753586 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.751518 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.751019 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.750844 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.748097 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.746518 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.743269 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.739855 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737617 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734933 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.738259 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.732996 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.733794 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.734847 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.736322 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.732726 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.733423 [46] validation_0-merror:0.333333 validation_0-mlogloss:0.734115 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.735052 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.738531 Stopping. Best iteration: [43] validation_0-merror:0.333333 validation_0-mlogloss:0.729938 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02872 [2] validation_0-merror:0.366667 validation_0-mlogloss:1.00355 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.976736 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.953341 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.936879 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.91662 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.901942 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.886389 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.875851 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.869907 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.86255 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.846275 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830407 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.815914 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.810056 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.802421 [17] validation_0-merror:0.35 validation_0-mlogloss:0.792757 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.785661 [19] validation_0-merror:0.3 validation_0-mlogloss:0.771222 [20] validation_0-merror:0.3 validation_0-mlogloss:0.765192 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.762802 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.760105 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.751251 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.746811 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.74245 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.736475 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.731515 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.729847 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727285 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.723773 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.721278 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.717365 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.715112 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.712881 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.711714 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.70503 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.701752 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.698261 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.69823 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.6969 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.693495 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.693952 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.690728 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.689677 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.685488 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.685759 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.684592 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.685567 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.684866 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.681415 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.679204 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.67822 [53] validation_0-merror:0.3 validation_0-mlogloss:0.677292 [54] validation_0-merror:0.3 validation_0-mlogloss:0.676787 [55] validation_0-merror:0.3 validation_0-mlogloss:0.673721 [56] validation_0-merror:0.3 validation_0-mlogloss:0.671009 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.673108 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.676615 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.673894 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.672749 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.675225 Stopping. Best iteration: [56] validation_0-merror:0.3 validation_0-mlogloss:0.671009 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05014 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0133 [2] validation_0-merror:0.4 validation_0-mlogloss:0.983256 [3] validation_0-merror:0.4 validation_0-mlogloss:0.956482 [4] validation_0-merror:0.4 validation_0-mlogloss:0.932624 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.91368 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898534 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.884716 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.872342 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.861998 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.852451 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.841035 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.832808 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.827212 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.821511 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.814138 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.809418 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.803656 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.799248 [19] validation_0-merror:0.3 validation_0-mlogloss:0.794544 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.790952 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.787319 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.783198 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.782771 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.779633 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.774207 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.772366 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.768615 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.767634 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.765213 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.763331 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.761308 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.761795 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.760458 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.760788 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.76028 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.75903 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.761482 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.75884 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.760293 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.758967 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.760164 [42] validation_0-merror:0.3 validation_0-mlogloss:0.763776 [43] validation_0-merror:0.3 validation_0-mlogloss:0.76391 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.75884 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.0493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.00969 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.974506 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950864 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.9234 [5] validation_0-merror:0.4 validation_0-mlogloss:0.905212 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.885944 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.869281 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852799 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.839679 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.830193 [11] validation_0-merror:0.4 validation_0-mlogloss:0.826324 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.818599 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.815348 [14] validation_0-merror:0.4 validation_0-mlogloss:0.810432 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.806565 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.80232 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.802003 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.798638 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.79505 [20] validation_0-merror:0.35 validation_0-mlogloss:0.796015 [21] validation_0-merror:0.35 validation_0-mlogloss:0.790111 [22] validation_0-merror:0.35 validation_0-mlogloss:0.787533 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.78534 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.781805 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.780259 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.781502 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.781016 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778831 [29] validation_0-merror:0.35 validation_0-mlogloss:0.783275 [30] validation_0-merror:0.35 validation_0-mlogloss:0.783392 [31] validation_0-merror:0.35 validation_0-mlogloss:0.784541 [32] validation_0-merror:0.35 validation_0-mlogloss:0.787987 [33] validation_0-merror:0.35 validation_0-mlogloss:0.786919 Stopping. Best iteration: [28] validation_0-merror:0.333333 validation_0-mlogloss:0.778831 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05059 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01231 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.974831 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.952651 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.933096 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.910312 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.895118 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.879028 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866283 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.855852 [10] validation_0-merror:0.3 validation_0-mlogloss:0.84804 [11] validation_0-merror:0.3 validation_0-mlogloss:0.834578 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.828623 [13] validation_0-merror:0.3 validation_0-mlogloss:0.820841 [14] validation_0-merror:0.3 validation_0-mlogloss:0.818499 [15] validation_0-merror:0.3 validation_0-mlogloss:0.822046 [16] validation_0-merror:0.3 validation_0-mlogloss:0.823196 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.815852 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.809894 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.80793 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.804756 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.803303 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.801119 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.799194 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.794947 [25] validation_0-merror:0.3 validation_0-mlogloss:0.792568 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.791647 [27] validation_0-merror:0.3 validation_0-mlogloss:0.788428 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.788472 [29] validation_0-merror:0.3 validation_0-mlogloss:0.782444 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.782082 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.775762 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.773253 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.768725 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.767911 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.765129 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.765852 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.76615 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.769216 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.766453 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.771737 Stopping. Best iteration: [35] validation_0-merror:0.266667 validation_0-mlogloss:0.765129 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04991 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01286 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.986738 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.950475 [4] validation_0-merror:0.3 validation_0-mlogloss:0.927721 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.901805 [6] validation_0-merror:0.3 validation_0-mlogloss:0.880818 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.864344 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.851932 [9] validation_0-merror:0.3 validation_0-mlogloss:0.835919 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823139 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.811959 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.800229 [13] validation_0-merror:0.3 validation_0-mlogloss:0.790949 [14] validation_0-merror:0.3 validation_0-mlogloss:0.783059 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.774944 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.769069 [17] validation_0-merror:0.3 validation_0-mlogloss:0.760707 [18] validation_0-merror:0.3 validation_0-mlogloss:0.759395 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.756007 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749368 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74502 [22] validation_0-merror:0.3 validation_0-mlogloss:0.739188 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734879 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730703 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726102 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719339 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.721491 [28] validation_0-merror:0.3 validation_0-mlogloss:0.724023 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.722245 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.716781 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.71292 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.710259 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.707318 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.705663 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.703931 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.700895 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700667 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702811 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.693593 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.69461 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691487 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.691903 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.692288 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.691816 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.693308 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.694991 Stopping. Best iteration: [41] validation_0-merror:0.283333 validation_0-mlogloss:0.691487 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01344 [2] validation_0-merror:0.35 validation_0-mlogloss:0.984017 [3] validation_0-merror:0.35 validation_0-mlogloss:0.95151 [4] validation_0-merror:0.3 validation_0-mlogloss:0.920504 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.896659 [6] validation_0-merror:0.35 validation_0-mlogloss:0.88113 [7] validation_0-merror:0.35 validation_0-mlogloss:0.859655 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.841209 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.826969 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.818599 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.814141 [12] validation_0-merror:0.35 validation_0-mlogloss:0.803253 [13] validation_0-merror:0.35 validation_0-mlogloss:0.798855 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.797627 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.78701 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.784241 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.781123 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.779557 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.773523 [20] validation_0-merror:0.35 validation_0-mlogloss:0.762689 [21] validation_0-merror:0.35 validation_0-mlogloss:0.762781 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760587 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.762965 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.764596 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.765836 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.764376 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.761394 Stopping. Best iteration: [22] validation_0-merror:0.366667 validation_0-mlogloss:0.760587 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06034 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.25 validation_0-mlogloss:1.01509 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.985204 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962419 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.942212 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.917736 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.896292 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.882379 [8] validation_0-merror:0.266667 validation_0-mlogloss:0.862125 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.85057 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.838986 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.82573 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814443 [13] validation_0-merror:0.3 validation_0-mlogloss:0.805078 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794426 [15] validation_0-merror:0.3 validation_0-mlogloss:0.789375 [16] validation_0-merror:0.3 validation_0-mlogloss:0.785277 [17] validation_0-merror:0.3 validation_0-mlogloss:0.77899 [18] validation_0-merror:0.3 validation_0-mlogloss:0.779498 [19] validation_0-merror:0.3 validation_0-mlogloss:0.77504 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.766553 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.76737 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.764304 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.756435 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.755625 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.753527 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.746658 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.744514 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.740097 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.735236 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.735438 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.730535 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.72876 [33] validation_0-merror:0.3 validation_0-mlogloss:0.732598 [34] validation_0-merror:0.3 validation_0-mlogloss:0.726519 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.731009 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.728669 [37] validation_0-merror:0.3 validation_0-mlogloss:0.727304 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.727088 [39] validation_0-merror:0.3 validation_0-mlogloss:0.730339 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.726519 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.0477 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0074 [2] validation_0-merror:0.35 validation_0-mlogloss:0.977567 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948626 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.9271 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905148 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.888782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.869245 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.852254 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836373 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825429 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.813932 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805343 [13] validation_0-merror:0.35 validation_0-mlogloss:0.795123 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789193 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780651 [16] validation_0-merror:0.3 validation_0-mlogloss:0.769321 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765446 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757186 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75148 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742577 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737644 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73492 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.727097 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718508 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713371 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.714724 [27] validation_0-merror:0.3 validation_0-mlogloss:0.709356 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70369 [29] validation_0-merror:0.3 validation_0-mlogloss:0.705476 [30] validation_0-merror:0.3 validation_0-mlogloss:0.707057 [31] validation_0-merror:0.3 validation_0-mlogloss:0.706958 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709818 [33] validation_0-merror:0.3 validation_0-mlogloss:0.713442 Stopping. Best iteration: [28] validation_0-merror:0.3 validation_0-mlogloss:0.70369 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06053 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02038 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985375 [3] validation_0-merror:0.4 validation_0-mlogloss:0.951029 [4] validation_0-merror:0.4 validation_0-mlogloss:0.925048 [5] validation_0-merror:0.4 validation_0-mlogloss:0.903554 [6] validation_0-merror:0.4 validation_0-mlogloss:0.885245 [7] validation_0-merror:0.4 validation_0-mlogloss:0.871408 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.852867 [9] validation_0-merror:0.4 validation_0-mlogloss:0.845729 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.837629 [11] validation_0-merror:0.4 validation_0-mlogloss:0.82722 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.825651 [13] validation_0-merror:0.4 validation_0-mlogloss:0.816675 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.811637 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.799608 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.793824 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.792468 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.7857 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.780704 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.778351 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.767124 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.766278 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.760692 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.760003 [25] validation_0-merror:0.383333 validation_0-mlogloss:0.757815 [26] validation_0-merror:0.383333 validation_0-mlogloss:0.752763 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.751376 [28] validation_0-merror:0.383333 validation_0-mlogloss:0.741015 [29] validation_0-merror:0.383333 validation_0-mlogloss:0.739773 [30] validation_0-merror:0.383333 validation_0-mlogloss:0.738467 [31] validation_0-merror:0.383333 validation_0-mlogloss:0.740058 [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [33] validation_0-merror:0.383333 validation_0-mlogloss:0.739013 [34] validation_0-merror:0.383333 validation_0-mlogloss:0.74485 [35] validation_0-merror:0.383333 validation_0-mlogloss:0.751367 [36] validation_0-merror:0.383333 validation_0-mlogloss:0.750225 [37] validation_0-merror:0.383333 validation_0-mlogloss:0.752008 Stopping. Best iteration: [32] validation_0-merror:0.383333 validation_0-mlogloss:0.737984 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06106 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02791 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.994714 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.962407 [4] validation_0-merror:0.35 validation_0-mlogloss:0.935632 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.914989 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.892737 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880219 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863983 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.851493 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.844207 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.829947 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.814123 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.808994 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.793209 [15] validation_0-merror:0.3 validation_0-mlogloss:0.7783 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.767963 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.76383 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.763991 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.760338 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763547 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.764154 [22] validation_0-merror:0.3 validation_0-mlogloss:0.76163 [23] validation_0-merror:0.3 validation_0-mlogloss:0.756494 [24] validation_0-merror:0.3 validation_0-mlogloss:0.756833 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.754292 [26] validation_0-merror:0.3 validation_0-mlogloss:0.747975 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.740983 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.732514 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.732417 [30] validation_0-merror:0.3 validation_0-mlogloss:0.726635 [31] validation_0-merror:0.3 validation_0-mlogloss:0.726138 [32] validation_0-merror:0.3 validation_0-mlogloss:0.728005 [33] validation_0-merror:0.3 validation_0-mlogloss:0.729766 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.728016 [35] validation_0-merror:0.3 validation_0-mlogloss:0.728324 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.729186 Stopping. Best iteration: [31] validation_0-merror:0.3 validation_0-mlogloss:0.726138 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05127 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00703 [2] validation_0-merror:0.35 validation_0-mlogloss:0.975826 [3] validation_0-merror:0.35 validation_0-mlogloss:0.947766 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.922496 [5] validation_0-merror:0.35 validation_0-mlogloss:0.900534 [6] validation_0-merror:0.35 validation_0-mlogloss:0.877873 [7] validation_0-merror:0.35 validation_0-mlogloss:0.862212 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837533 [9] validation_0-merror:0.35 validation_0-mlogloss:0.823745 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.811736 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.799776 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.79186 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.787032 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778435 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.771739 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.766756 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762396 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.757537 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.750997 [20] validation_0-merror:0.266667 validation_0-mlogloss:0.746935 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.747381 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745152 [23] validation_0-merror:0.3 validation_0-mlogloss:0.738474 [24] validation_0-merror:0.3 validation_0-mlogloss:0.729277 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724823 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726348 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.719502 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.716678 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.720092 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.719702 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.722539 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.725783 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.723686 Stopping. Best iteration: [28] validation_0-merror:0.283333 validation_0-mlogloss:0.716678 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02131 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985608 [3] validation_0-merror:0.35 validation_0-mlogloss:0.955619 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.932095 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.909505 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.886316 [7] validation_0-merror:0.4 validation_0-mlogloss:0.872807 [8] validation_0-merror:0.4 validation_0-mlogloss:0.85877 [9] validation_0-merror:0.416667 validation_0-mlogloss:0.846317 [10] validation_0-merror:0.416667 validation_0-mlogloss:0.837128 [11] validation_0-merror:0.416667 validation_0-mlogloss:0.82793 [12] validation_0-merror:0.416667 validation_0-mlogloss:0.825004 [13] validation_0-merror:0.4 validation_0-mlogloss:0.822181 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.813779 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.802028 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.795693 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.795624 [18] validation_0-merror:0.35 validation_0-mlogloss:0.789846 [19] validation_0-merror:0.35 validation_0-mlogloss:0.784146 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.784877 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.777284 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.774205 [23] validation_0-merror:0.35 validation_0-mlogloss:0.771408 [24] validation_0-merror:0.35 validation_0-mlogloss:0.771543 [25] validation_0-merror:0.35 validation_0-mlogloss:0.77127 [26] validation_0-merror:0.35 validation_0-mlogloss:0.771051 [27] validation_0-merror:0.35 validation_0-mlogloss:0.769722 [28] validation_0-merror:0.35 validation_0-mlogloss:0.765477 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.766771 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.76755 [31] validation_0-merror:0.35 validation_0-mlogloss:0.766126 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763039 [33] validation_0-merror:0.35 validation_0-mlogloss:0.765406 [34] validation_0-merror:0.35 validation_0-mlogloss:0.769575 [35] validation_0-merror:0.35 validation_0-mlogloss:0.781918 [36] validation_0-merror:0.35 validation_0-mlogloss:0.783013 [37] validation_0-merror:0.35 validation_0-mlogloss:0.789481 Stopping. Best iteration: [32] validation_0-merror:0.366667 validation_0-mlogloss:0.763039 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05411 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01755 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.987237 [3] validation_0-merror:0.4 validation_0-mlogloss:0.952344 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920738 [5] validation_0-merror:0.35 validation_0-mlogloss:0.899426 [6] validation_0-merror:0.35 validation_0-mlogloss:0.882042 [7] validation_0-merror:0.35 validation_0-mlogloss:0.863225 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.850764 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.835089 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.83627 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.821096 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80304 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.797945 [14] validation_0-merror:0.35 validation_0-mlogloss:0.784962 [15] validation_0-merror:0.35 validation_0-mlogloss:0.772604 [16] validation_0-merror:0.35 validation_0-mlogloss:0.763278 [17] validation_0-merror:0.35 validation_0-mlogloss:0.751725 [18] validation_0-merror:0.35 validation_0-mlogloss:0.752836 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.748745 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747851 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745752 [22] validation_0-merror:0.35 validation_0-mlogloss:0.745694 [23] validation_0-merror:0.35 validation_0-mlogloss:0.744444 [24] validation_0-merror:0.35 validation_0-mlogloss:0.743965 [25] validation_0-merror:0.35 validation_0-mlogloss:0.743621 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753753 [27] validation_0-merror:0.35 validation_0-mlogloss:0.756908 [28] validation_0-merror:0.35 validation_0-mlogloss:0.753714 [29] validation_0-merror:0.35 validation_0-mlogloss:0.753429 [30] validation_0-merror:0.35 validation_0-mlogloss:0.75516 Stopping. Best iteration: [25] validation_0-merror:0.35 validation_0-mlogloss:0.743621 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.04825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00434 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.96928 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939676 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913699 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896787 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878841 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868474 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858825 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851674 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843864 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829026 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825813 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.821452 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814664 [15] validation_0-merror:0.35 validation_0-mlogloss:0.804886 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802894 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79455 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788934 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782373 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77723 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.777494 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771118 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.76987 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766319 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.763399 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.761899 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.759319 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.75942 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.755099 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.75519 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.754293 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.755796 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.758883 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.758814 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.758542 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.756865 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.754293
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/model_selection/_search.py:813: DeprecationWarning: The default of the `iid` parameter will change from True to False in version 0.22 and will be removed in 0.24. This will change numeric results when test-set sizes are unequal. DeprecationWarning)
In [36]:
randomSearchTime = (endRandom - startRandom).seconds
print(f'RandomSearch took {randomSearchTime} seconds')
RandomSearch took 15 seconds
Best¶
In [37]:
randomsearch.best_params_
Out[37]:
{'subsample': 1.0,
'min_child_weight': 4,
'max_depth': 4,
'gamma': 0.1,
'colsample_bytree': 1.0}
Fit¶
In [38]:
model = xgb.XGBClassifier(n_estimators=10000,
max_depth=randomsearch.best_params_['max_depth'],
min_child_weight=randomsearch.best_params_['min_child_weight'],
gamma=randomsearch.best_params_['gamma'],
colsample_bytree=randomsearch.best_params_['colsample_bytree'],
subsample=randomsearch.best_params_['subsample'],
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
model.fit(X_train_proc, y_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=eval_set,
verbose=True)
[0] validation_0-merror:0.383333 validation_0-mlogloss:1.04825 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00434 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.96928 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.939676 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.913699 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896787 [6] validation_0-merror:0.35 validation_0-mlogloss:0.878841 [7] validation_0-merror:0.35 validation_0-mlogloss:0.868474 [8] validation_0-merror:0.35 validation_0-mlogloss:0.858825 [9] validation_0-merror:0.35 validation_0-mlogloss:0.851674 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.843864 [11] validation_0-merror:0.35 validation_0-mlogloss:0.829026 [12] validation_0-merror:0.35 validation_0-mlogloss:0.825813 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.821452 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.814664 [15] validation_0-merror:0.35 validation_0-mlogloss:0.804886 [16] validation_0-merror:0.35 validation_0-mlogloss:0.802894 [17] validation_0-merror:0.35 validation_0-mlogloss:0.79455 [18] validation_0-merror:0.35 validation_0-mlogloss:0.788934 [19] validation_0-merror:0.35 validation_0-mlogloss:0.782373 [20] validation_0-merror:0.35 validation_0-mlogloss:0.77723 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.777494 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.771118 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.76987 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.766319 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.763399 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.761899 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.759319 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.75942 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.755099 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.75519 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.754293 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.755796 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.758883 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.758814 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.758542 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.756865 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.754293
Out[38]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bytree=1.0, gamma=0.1, learning_rate=0.1,
max_delta_step=0, max_depth=4, min_child_weight=4, missing=None,
n_estimators=10000, n_jobs=1, nthread=None, num_class=3,
objective='multi:softprob', random_state=0, reg_alpha=0,
reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
subsample=1.0, verbosity=1)
Predict¶
In [39]:
proba = model.predict_proba(X_test_proc, model.best_iteration)
pred = np.argmax(proba, axis=1)
truth = y_test.astype('category').cat.codes
acc = errors(truth, pred);
Accuracy 0.6933333333333334
Confusion Matrix
[[19 0 2]
[ 6 18 8]
[ 2 5 15]]
Classification Report
precision recall f1-score support
0 0.70 0.90 0.79 21
1 0.78 0.56 0.65 32
2 0.60 0.68 0.64 22
accuracy 0.69 75
macro avg 0.70 0.72 0.69 75
weighted avg 0.71 0.69 0.69 75
Log Results¶
In [40]:
resultsDF.loc['RandomSearch'] = [randomSearchTime, acc]
resultsDF
Out[40]:
| Time | Accuracy | |
|---|---|---|
| Default | 0.0 | 0.666667 |
| GridSearch | 145.0 | 0.733333 |
| RandomSearch | 15.0 | 0.693333 |
Bayesian Optimization¶
- In the battleship metaphor, search where you're most likely to find a ship
- We'll use the hyperopt implementation
- It uses four things:
- Search Space - Think priors
- Algorithm - They have 3 implementations, we'll be using tree of parzen estimators
- Objective - The function we want to optimize
- Trials - A recorder holding information about the process & results
- Tree of Parzen Estimator
- Parzen Estimator = Kernel window density estimation
- Sequential, model based approach to optimization
- Construct models to approximate performance of hyperparameters
- Choose new hyper parameters to test this model
- Incorporate results
- Repeat until time or iterations reached
- Other libraries are available:
- Spearmint
- MOE
- SMAC
Search Space¶
- choice = Categorical Variables
- quniform = Discrete Uniform (even spaced ints)
- uniform = Continuous Uniform (even spaced floats)
- loguniform = Continuous Log Uniform (even spaced floats of log scale)
- There are quite a few others...
In [41]:
space = {
'max_depth' : hp.quniform('max_depth', 2, 10, 2),
'min_child_weight' : hp.quniform('min_child_weight', 1, 5, 1),
'gamma' : hp.uniform('gamma', 0.0, 0.3),
'subsample' : hp.uniform('subsample', 0.6, 1.0),
'colsample_bytree' : hp.uniform('colsample_bytree', 0.6, 1.0)
}
In [42]:
def densityPlotSpace(space, param, color='red'):
vals = []
for _ in range(1000):
vals.append(sample(space))
plt.figure(figsize=(8,6))
sns.kdeplot(vals, color=color, linewidth=2, shade=True)
plt.title(f'{param} distribution')
plt.ylabel('density')
plt.xlabel(param)
Max Depth¶
In [43]:
densityPlotSpace(space['max_depth'], 'max_depth')
Min Child Weight¶
In [44]:
densityPlotSpace(space['min_child_weight'], 'min_child_weight', color='blue')
Gamma¶
In [45]:
densityPlotSpace(space['gamma'], 'gamma', color='yellow')
Subsample¶
In [46]:
densityPlotSpace(space['subsample'], 'subsample', color='green')
Colsample Bytree¶
In [47]:
densityPlotSpace(space['colsample_bytree'], 'colsample_bytree', color='orange')
Algorithm¶
In [48]:
algorithm = tpe.suggest
History¶
In [49]:
trials = Trials()
Objective¶
In [50]:
def objective(params):
eval_set = [(X_val_proc, y_val)]
model = xgb.XGBClassifier(n_estimators=10000,
max_depth=int(params['max_depth']),
min_child_weight=params['min_child_weight'],
gamma=params['gamma'],
colsample_bytree=params['colsample_bytree'],
subsample=params['subsample'],
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
model.fit(X_train_proc, y_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=eval_set,
verbose=True)
proba = model.predict_proba(X_val_proc, model.best_iteration)
pred = np.argmax(proba, axis=1)
truth = y_val.astype('category').cat.codes
acc = accuracy_score(pred, truth)
loss = log_loss(truth, proba, labels=[0,1,2])
return {'loss': loss, 'acc': acc, 'status': STATUS_OK}
Optimization¶
In [51]:
startHyper = datetime.datetime.now()
EVALS=100
best = fmin(fn=objective,
space=space,
algo=algorithm,
max_evals=EVALS,
trials=trials)
endHyper = datetime.datetime.now()
[0] validation_0-merror:0.4 validation_0-mlogloss:1.05947 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02097 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.994344 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.96814 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.939934 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.920539 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.892173 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.870573 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85208 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.836899 [10] validation_0-merror:0.3 validation_0-mlogloss:0.817149 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.801588 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.79193 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.780454 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.772258 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.769946 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.760673 [17] validation_0-merror:0.3 validation_0-mlogloss:0.752518 [18] validation_0-merror:0.3 validation_0-mlogloss:0.753329 [19] validation_0-merror:0.3 validation_0-mlogloss:0.749194 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744543 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.737965 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731794 [23] validation_0-merror:0.3 validation_0-mlogloss:0.729708 [24] validation_0-merror:0.3 validation_0-mlogloss:0.724404 [25] validation_0-merror:0.3 validation_0-mlogloss:0.727275 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723224 [27] validation_0-merror:0.3 validation_0-mlogloss:0.72024 [28] validation_0-merror:0.3 validation_0-mlogloss:0.719085 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718332 [30] validation_0-merror:0.3 validation_0-mlogloss:0.717414 [31] validation_0-merror:0.3 validation_0-mlogloss:0.710646 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710363 [33] validation_0-merror:0.3 validation_0-mlogloss:0.710359 [34] validation_0-merror:0.3 validation_0-mlogloss:0.709238 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.712148 [36] validation_0-merror:0.3 validation_0-mlogloss:0.717969 [37] validation_0-merror:0.3 validation_0-mlogloss:0.714896 [38] validation_0-merror:0.3 validation_0-mlogloss:0.715522 [39] validation_0-merror:0.3 validation_0-mlogloss:0.714495 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.709238 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05171 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01152 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.974109 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.943854 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.92658 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.905915 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.884927 [7] validation_0-merror:0.35 validation_0-mlogloss:0.86586 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.849578 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.831551 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.814362 [11] validation_0-merror:0.3 validation_0-mlogloss:0.800996 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.787891 [13] validation_0-merror:0.35 validation_0-mlogloss:0.775453 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.763113 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.755698 [16] validation_0-merror:0.3 validation_0-mlogloss:0.751528 [17] validation_0-merror:0.3 validation_0-mlogloss:0.747037 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.742337 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.743956 [20] validation_0-merror:0.3 validation_0-mlogloss:0.741474 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737268 [22] validation_0-merror:0.3 validation_0-mlogloss:0.728996 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724035 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719999 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.709874 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708262 [27] validation_0-merror:0.3 validation_0-mlogloss:0.711575 [28] validation_0-merror:0.3 validation_0-mlogloss:0.714831 [29] validation_0-merror:0.3 validation_0-mlogloss:0.718147 [30] validation_0-merror:0.3 validation_0-mlogloss:0.713282 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708291 Stopping. Best iteration: [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708262 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05713 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01894 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985218 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.961223 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.935769 [5] validation_0-merror:0.35 validation_0-mlogloss:0.913351 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890752 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.877312 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.859716 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.845519 [10] validation_0-merror:0.35 validation_0-mlogloss:0.832706 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818575 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809591 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.795675 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788465 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779724 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770727 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.773351 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773737 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.767757 [20] validation_0-merror:0.3 validation_0-mlogloss:0.763533 [21] validation_0-merror:0.3 validation_0-mlogloss:0.754785 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.75007 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748122 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.745259 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.738121 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.735656 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.735953 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.73537 [29] validation_0-merror:0.3 validation_0-mlogloss:0.733318 [30] validation_0-merror:0.3 validation_0-mlogloss:0.73074 [31] validation_0-merror:0.3 validation_0-mlogloss:0.726136 [32] validation_0-merror:0.3 validation_0-mlogloss:0.724442 [33] validation_0-merror:0.3 validation_0-mlogloss:0.724902 [34] validation_0-merror:0.3 validation_0-mlogloss:0.721189 [35] validation_0-merror:0.3 validation_0-mlogloss:0.720204 [36] validation_0-merror:0.3 validation_0-mlogloss:0.724951 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.727312 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727675 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.727085 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.726432 Stopping. Best iteration: [35] validation_0-merror:0.3 validation_0-mlogloss:0.720204 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06084 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02592 [2] validation_0-merror:0.3 validation_0-mlogloss:0.99137 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963372 [4] validation_0-merror:0.4 validation_0-mlogloss:0.945527 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.923275 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903089 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884271 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.866546 [9] validation_0-merror:0.35 validation_0-mlogloss:0.852203 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.837199 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.823162 [12] validation_0-merror:0.35 validation_0-mlogloss:0.814809 [13] validation_0-merror:0.35 validation_0-mlogloss:0.805617 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795171 [15] validation_0-merror:0.35 validation_0-mlogloss:0.786238 [16] validation_0-merror:0.35 validation_0-mlogloss:0.780423 [17] validation_0-merror:0.35 validation_0-mlogloss:0.77224 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.763334 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757799 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749953 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746427 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740255 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.737241 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.73338 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.731221 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.726276 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.720689 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.718855 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.718055 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.712852 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.708967 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.70425 [33] validation_0-merror:0.3 validation_0-mlogloss:0.700409 [34] validation_0-merror:0.3 validation_0-mlogloss:0.697447 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.696336 [36] validation_0-merror:0.3 validation_0-mlogloss:0.693277 [37] validation_0-merror:0.3 validation_0-mlogloss:0.691439 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688462 [39] validation_0-merror:0.3 validation_0-mlogloss:0.688225 [40] validation_0-merror:0.3 validation_0-mlogloss:0.684629 [41] validation_0-merror:0.3 validation_0-mlogloss:0.683087 [42] validation_0-merror:0.3 validation_0-mlogloss:0.680436 [43] validation_0-merror:0.3 validation_0-mlogloss:0.679371 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.680835 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.679914 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.679274 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.680837 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679542 [49] validation_0-merror:0.3 validation_0-mlogloss:0.679767 [50] validation_0-merror:0.3 validation_0-mlogloss:0.680562 [51] validation_0-merror:0.3 validation_0-mlogloss:0.675995 [52] validation_0-merror:0.3 validation_0-mlogloss:0.676634 [53] validation_0-merror:0.3 validation_0-mlogloss:0.676472 [54] validation_0-merror:0.3 validation_0-mlogloss:0.675338 [55] validation_0-merror:0.3 validation_0-mlogloss:0.674426 [56] validation_0-merror:0.3 validation_0-mlogloss:0.673733 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.673484 [58] validation_0-merror:0.3 validation_0-mlogloss:0.674128 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.675129 [60] validation_0-merror:0.3 validation_0-mlogloss:0.678966 [61] validation_0-merror:0.3 validation_0-mlogloss:0.678135 [62] validation_0-merror:0.3 validation_0-mlogloss:0.67554 Stopping. Best iteration: [57] validation_0-merror:0.283333 validation_0-mlogloss:0.673484 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06213 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02528 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996822 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.973311 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.950375 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926682 [6] validation_0-merror:0.3 validation_0-mlogloss:0.898713 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.876981 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.862983 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847621 [10] validation_0-merror:0.35 validation_0-mlogloss:0.834642 [11] validation_0-merror:0.35 validation_0-mlogloss:0.823277 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.815165 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807355 [14] validation_0-merror:0.35 validation_0-mlogloss:0.800141 [15] validation_0-merror:0.35 validation_0-mlogloss:0.791849 [16] validation_0-merror:0.35 validation_0-mlogloss:0.786956 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.785324 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.780516 [19] validation_0-merror:0.35 validation_0-mlogloss:0.774139 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.770099 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.767148 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.760646 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.75837 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759721 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756836 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.757523 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.756342 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.752147 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748656 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.748679 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.745593 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.747236 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.747347 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.744617 [35] validation_0-merror:0.35 validation_0-mlogloss:0.746118 [36] validation_0-merror:0.35 validation_0-mlogloss:0.743979 [37] validation_0-merror:0.35 validation_0-mlogloss:0.742466 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.739259 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.738444 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.736957 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.736506 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.738001 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.741499 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.743927 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.740031 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.737605 Stopping. Best iteration: [41] validation_0-merror:0.316667 validation_0-mlogloss:0.736506 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05376 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01457 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982516 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.951994 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.928535 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.90723 [6] validation_0-merror:0.4 validation_0-mlogloss:0.885406 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.859718 [8] validation_0-merror:0.3 validation_0-mlogloss:0.8446 [9] validation_0-merror:0.3 validation_0-mlogloss:0.831514 [10] validation_0-merror:0.3 validation_0-mlogloss:0.817913 [11] validation_0-merror:0.3 validation_0-mlogloss:0.804176 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.797354 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.787981 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789285 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.778038 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774831 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.771239 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76431 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753714 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747271 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744927 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73748 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.733703 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729779 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.734139 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.735231 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.73084 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728441 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.722327 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.723117 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.720833 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.717826 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.714838 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.715689 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.716178 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.713607 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.714076 [38] validation_0-merror:0.3 validation_0-mlogloss:0.712268 [39] validation_0-merror:0.3 validation_0-mlogloss:0.712821 [40] validation_0-merror:0.3 validation_0-mlogloss:0.709211 [41] validation_0-merror:0.3 validation_0-mlogloss:0.711943 [42] validation_0-merror:0.3 validation_0-mlogloss:0.710253 [43] validation_0-merror:0.3 validation_0-mlogloss:0.710222 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.717138 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.715584 Stopping. Best iteration: [40] validation_0-merror:0.3 validation_0-mlogloss:0.709211 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05385 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01661 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.979463 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951905 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.925459 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905753 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.883162 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865432 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.846964 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.833599 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.819852 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.807986 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.800262 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.79392 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788405 [15] validation_0-merror:0.35 validation_0-mlogloss:0.774927 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.769823 [17] validation_0-merror:0.35 validation_0-mlogloss:0.765139 [18] validation_0-merror:0.35 validation_0-mlogloss:0.759465 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.75591 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747658 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745883 [22] validation_0-merror:0.35 validation_0-mlogloss:0.741675 [23] validation_0-merror:0.35 validation_0-mlogloss:0.739549 [24] validation_0-merror:0.35 validation_0-mlogloss:0.738341 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.734945 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.733839 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730271 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.728922 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.725054 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.72128 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.718639 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.719266 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.721546 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.720279 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.721276 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.719978 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.718639 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05732 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0158 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981386 [3] validation_0-merror:0.3 validation_0-mlogloss:0.958144 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.929961 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909443 [6] validation_0-merror:0.35 validation_0-mlogloss:0.873326 [7] validation_0-merror:0.35 validation_0-mlogloss:0.852923 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.837671 [9] validation_0-merror:0.3 validation_0-mlogloss:0.820763 [10] validation_0-merror:0.3 validation_0-mlogloss:0.805807 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.794195 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.784638 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.7759 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.773059 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766942 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.765489 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763109 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762114 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753725 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749173 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.746996 [22] validation_0-merror:0.3 validation_0-mlogloss:0.741526 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738798 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.734726 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732328 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.728643 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727465 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.732024 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.735451 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.731772 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.731521 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.732397 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.727465 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05732 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01831 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.985179 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.953071 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924917 [5] validation_0-merror:0.3 validation_0-mlogloss:0.90347 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881479 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.860216 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.8389 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.824248 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808021 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.796946 [12] validation_0-merror:0.3 validation_0-mlogloss:0.788786 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.778848 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.772308 [15] validation_0-merror:0.266667 validation_0-mlogloss:0.765172 [16] validation_0-merror:0.3 validation_0-mlogloss:0.757242 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.748456 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.746148 [19] validation_0-merror:0.3 validation_0-mlogloss:0.740252 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.733779 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.72893 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.724697 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.718444 [24] validation_0-merror:0.3 validation_0-mlogloss:0.708599 [25] validation_0-merror:0.3 validation_0-mlogloss:0.702525 [26] validation_0-merror:0.3 validation_0-mlogloss:0.699995 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699422 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699193 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696285 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693456 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691964 [32] validation_0-merror:0.3 validation_0-mlogloss:0.690619 [33] validation_0-merror:0.3 validation_0-mlogloss:0.690367 [34] validation_0-merror:0.3 validation_0-mlogloss:0.690179 [35] validation_0-merror:0.3 validation_0-mlogloss:0.691389 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697816 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694893 [38] validation_0-merror:0.3 validation_0-mlogloss:0.695634 [39] validation_0-merror:0.3 validation_0-mlogloss:0.694839 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.690179 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06343 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02529 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991363 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965431 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943455 [5] validation_0-merror:0.35 validation_0-mlogloss:0.921064 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.899785 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.880025 [8] validation_0-merror:0.35 validation_0-mlogloss:0.861775 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.8432 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831321 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.819353 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.807918 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.798419 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.788581 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782924 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777839 [17] validation_0-merror:0.35 validation_0-mlogloss:0.772546 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.768249 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.764248 [20] validation_0-merror:0.3 validation_0-mlogloss:0.761028 [21] validation_0-merror:0.3 validation_0-mlogloss:0.752605 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.746563 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738996 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72997 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.72608 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.724515 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.722346 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.72042 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.716925 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708651 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.705174 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.705242 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.705938 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.703597 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.703484 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.704345 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.702329 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.70233 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703749 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.701686 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.699138 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.700385 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.696788 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.695554 [45] validation_0-merror:0.3 validation_0-mlogloss:0.69255 [46] validation_0-merror:0.3 validation_0-mlogloss:0.691533 [47] validation_0-merror:0.3 validation_0-mlogloss:0.693451 [48] validation_0-merror:0.3 validation_0-mlogloss:0.695388 [49] validation_0-merror:0.3 validation_0-mlogloss:0.689893 [50] validation_0-merror:0.3 validation_0-mlogloss:0.689187 [51] validation_0-merror:0.3 validation_0-mlogloss:0.689003 [52] validation_0-merror:0.3 validation_0-mlogloss:0.690419 [53] validation_0-merror:0.3 validation_0-mlogloss:0.691458 [54] validation_0-merror:0.3 validation_0-mlogloss:0.693967 [55] validation_0-merror:0.3 validation_0-mlogloss:0.694717 [56] validation_0-merror:0.3 validation_0-mlogloss:0.695065 Stopping. Best iteration: [51] validation_0-merror:0.3 validation_0-mlogloss:0.689003 [0] validation_0-merror:0.516667 validation_0-mlogloss:1.06334 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.01884 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978772 [3] validation_0-merror:0.35 validation_0-mlogloss:0.951371 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.924206 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903784 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.879247 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859443 [8] validation_0-merror:0.3 validation_0-mlogloss:0.846139 [9] validation_0-merror:0.3 validation_0-mlogloss:0.830388 [10] validation_0-merror:0.3 validation_0-mlogloss:0.819302 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.810941 [12] validation_0-merror:0.3 validation_0-mlogloss:0.803123 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.792543 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790062 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.784428 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776688 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772869 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767284 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.761001 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.757312 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.757778 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.754515 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.756211 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.756948 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.756041 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.752472 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.750326 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.747394 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.748478 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.749731 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.749547 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.749249 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744088 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.746177 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.746949 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.746761 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.748475 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.747663 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.744088 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05718 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.01745 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.983348 [3] validation_0-merror:0.283333 validation_0-mlogloss:0.95677 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.93295 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.913331 [6] validation_0-merror:0.3 validation_0-mlogloss:0.890034 [7] validation_0-merror:0.3 validation_0-mlogloss:0.871439 [8] validation_0-merror:0.3 validation_0-mlogloss:0.851256 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.837993 [10] validation_0-merror:0.3 validation_0-mlogloss:0.822631 [11] validation_0-merror:0.3 validation_0-mlogloss:0.812814 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.802204 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.79334 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78728 [15] validation_0-merror:0.3 validation_0-mlogloss:0.778825 [16] validation_0-merror:0.3 validation_0-mlogloss:0.772307 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.765213 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.76183 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.752181 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748665 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741761 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.734344 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.731902 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730127 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732842 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.730579 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.729371 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.725912 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.718862 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716006 [31] validation_0-merror:0.3 validation_0-mlogloss:0.712013 [32] validation_0-merror:0.3 validation_0-mlogloss:0.710922 [33] validation_0-merror:0.3 validation_0-mlogloss:0.710521 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.709538 [35] validation_0-merror:0.3 validation_0-mlogloss:0.709607 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.707602 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.705039 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.702697 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.700511 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.698656 [41] validation_0-merror:0.3 validation_0-mlogloss:0.69677 [42] validation_0-merror:0.3 validation_0-mlogloss:0.698647 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.695598 [44] validation_0-merror:0.3 validation_0-mlogloss:0.697143 [45] validation_0-merror:0.3 validation_0-mlogloss:0.696611 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695529 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699727 [48] validation_0-merror:0.3 validation_0-mlogloss:0.70171 [49] validation_0-merror:0.3 validation_0-mlogloss:0.701658 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.700314 [51] validation_0-merror:0.3 validation_0-mlogloss:0.701488 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.695529 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05493 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01408 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.981753 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.959695 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.941005 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.917766 [6] validation_0-merror:0.35 validation_0-mlogloss:0.892098 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876254 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.856206 [9] validation_0-merror:0.3 validation_0-mlogloss:0.838764 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.826738 [11] validation_0-merror:0.3 validation_0-mlogloss:0.808259 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.800682 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.79042 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.782236 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778682 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.777232 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.770788 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.772874 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.772277 [20] validation_0-merror:0.35 validation_0-mlogloss:0.770568 [21] validation_0-merror:0.35 validation_0-mlogloss:0.766451 [22] validation_0-merror:0.35 validation_0-mlogloss:0.761162 [23] validation_0-merror:0.35 validation_0-mlogloss:0.755553 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.748824 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.739832 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.740395 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744247 [28] validation_0-merror:0.35 validation_0-mlogloss:0.748047 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.74845 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746727 Stopping. Best iteration: [25] validation_0-merror:0.333333 validation_0-mlogloss:0.739832 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05692 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01395 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.983296 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956044 [4] validation_0-merror:0.35 validation_0-mlogloss:0.926009 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.903193 [6] validation_0-merror:0.35 validation_0-mlogloss:0.881225 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.864551 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.847196 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.827519 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.813069 [11] validation_0-merror:0.3 validation_0-mlogloss:0.794527 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.783707 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.771184 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.761751 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.756437 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.750211 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.743821 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74381 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.744045 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738527 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.73658 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734356 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.732956 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.722631 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.717015 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.716803 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.720046 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.72193 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.720384 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.715276 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.713561 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.713599 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.707307 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.707787 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.710379 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.711864 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.717106 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.718108 Stopping. Best iteration: [33] validation_0-merror:0.333333 validation_0-mlogloss:0.707307 [0] validation_0-merror:0.283333 validation_0-mlogloss:1.04852 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.00794 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.972872 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.949397 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.92758 [5] validation_0-merror:0.35 validation_0-mlogloss:0.904802 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880325 [7] validation_0-merror:0.35 validation_0-mlogloss:0.870726 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.858664 [9] validation_0-merror:0.35 validation_0-mlogloss:0.840607 [10] validation_0-merror:0.35 validation_0-mlogloss:0.832184 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820823 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81236 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.808867 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.803619 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.796149 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.790453 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.78553 [18] validation_0-merror:0.383333 validation_0-mlogloss:0.77958 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.774624 [20] validation_0-merror:0.383333 validation_0-mlogloss:0.768633 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.768969 [22] validation_0-merror:0.383333 validation_0-mlogloss:0.764834 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.763206 [24] validation_0-merror:0.416667 validation_0-mlogloss:0.760351 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.757221 [26] validation_0-merror:0.4 validation_0-mlogloss:0.756269 [27] validation_0-merror:0.383333 validation_0-mlogloss:0.750504 [28] validation_0-merror:0.366667 validation_0-mlogloss:0.750481 [29] validation_0-merror:0.366667 validation_0-mlogloss:0.745643 [30] validation_0-merror:0.366667 validation_0-mlogloss:0.744191 [31] validation_0-merror:0.366667 validation_0-mlogloss:0.745249 [32] validation_0-merror:0.366667 validation_0-mlogloss:0.742238 [33] validation_0-merror:0.35 validation_0-mlogloss:0.739491 [34] validation_0-merror:0.35 validation_0-mlogloss:0.741447 [35] validation_0-merror:0.35 validation_0-mlogloss:0.737049 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.734898 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.737596 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.737513 [39] validation_0-merror:0.3 validation_0-mlogloss:0.734304 [40] validation_0-merror:0.3 validation_0-mlogloss:0.73401 [41] validation_0-merror:0.3 validation_0-mlogloss:0.732901 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.733588 [43] validation_0-merror:0.3 validation_0-mlogloss:0.735238 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.738618 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.735381 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.736338 Stopping. Best iteration: [41] validation_0-merror:0.3 validation_0-mlogloss:0.732901 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06375 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02579 [2] validation_0-merror:0.3 validation_0-mlogloss:0.996853 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.968128 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.945194 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.920734 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.895004 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.878588 [8] validation_0-merror:0.35 validation_0-mlogloss:0.859099 [9] validation_0-merror:0.35 validation_0-mlogloss:0.842758 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.829036 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.818908 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.809581 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799383 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790447 [15] validation_0-merror:0.35 validation_0-mlogloss:0.786277 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776443 [17] validation_0-merror:0.35 validation_0-mlogloss:0.767922 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.763133 [19] validation_0-merror:0.35 validation_0-mlogloss:0.756766 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748422 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.742923 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739174 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.73393 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72635 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.719838 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719166 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.720092 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.723931 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.725314 [30] validation_0-merror:0.3 validation_0-mlogloss:0.719843 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.721019 Stopping. Best iteration: [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719166 [0] validation_0-merror:0.35 validation_0-mlogloss:1.0592 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02144 [2] validation_0-merror:0.266667 validation_0-mlogloss:0.9833 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958471 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.931232 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.90593 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881443 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.86057 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.840567 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.826039 [10] validation_0-merror:0.35 validation_0-mlogloss:0.815409 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.802389 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.795104 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.78953 [14] validation_0-merror:0.3 validation_0-mlogloss:0.779528 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770635 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.765612 [17] validation_0-merror:0.35 validation_0-mlogloss:0.762699 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753744 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749336 [20] validation_0-merror:0.35 validation_0-mlogloss:0.744596 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.74225 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.736327 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.732248 [24] validation_0-merror:0.35 validation_0-mlogloss:0.730604 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.731667 [26] validation_0-merror:0.35 validation_0-mlogloss:0.731832 [27] validation_0-merror:0.35 validation_0-mlogloss:0.729947 [28] validation_0-merror:0.35 validation_0-mlogloss:0.726405 [29] validation_0-merror:0.35 validation_0-mlogloss:0.720909 [30] validation_0-merror:0.35 validation_0-mlogloss:0.715592 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.712686 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.710423 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.70946 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.705686 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.705663 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.705692 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.704123 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.704828 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.706724 [40] validation_0-merror:0.366667 validation_0-mlogloss:0.708377 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.708541 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.707269 Stopping. Best iteration: [37] validation_0-merror:0.333333 validation_0-mlogloss:0.704123 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06225 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02529 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.99523 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964314 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.940637 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.918864 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.892032 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.872005 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.85728 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840425 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.825387 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.817071 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808579 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.79885 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789639 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78357 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778952 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.772027 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.769119 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.765242 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759613 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.75549 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.749591 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.745827 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.738247 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.733671 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.728109 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.729345 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.730446 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726554 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.722826 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.722803 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.721319 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.719406 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.71513 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.71351 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.720708 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.719063 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.721202 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.720432 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.716144 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.71351 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06005 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02129 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991468 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.964227 [4] validation_0-merror:0.433333 validation_0-mlogloss:0.942879 [5] validation_0-merror:0.4 validation_0-mlogloss:0.923834 [6] validation_0-merror:0.4 validation_0-mlogloss:0.90117 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.884435 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.863365 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.853368 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.838342 [11] validation_0-merror:0.35 validation_0-mlogloss:0.824002 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.810867 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.803193 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.798992 [15] validation_0-merror:0.35 validation_0-mlogloss:0.7878 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781989 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.77523 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773347 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.765684 [20] validation_0-merror:0.3 validation_0-mlogloss:0.757162 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.760253 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.753509 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.751515 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.750943 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.749968 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.749078 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.744337 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742871 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735888 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737812 [31] validation_0-merror:0.35 validation_0-mlogloss:0.73803 [32] validation_0-merror:0.35 validation_0-mlogloss:0.739295 [33] validation_0-merror:0.35 validation_0-mlogloss:0.742836 [34] validation_0-merror:0.366667 validation_0-mlogloss:0.743998 Stopping. Best iteration: [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735888 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05495 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01573 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.979218 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.954055 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925269 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.904354 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.874076 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.85892 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.843332 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.827102 [10] validation_0-merror:0.3 validation_0-mlogloss:0.814069 [11] validation_0-merror:0.3 validation_0-mlogloss:0.799086 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786005 [13] validation_0-merror:0.3 validation_0-mlogloss:0.775599 [14] validation_0-merror:0.3 validation_0-mlogloss:0.770562 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.761927 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.757921 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.758864 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.757857 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753213 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.749125 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744312 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.741694 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736827 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.735952 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.726298 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.722877 [27] validation_0-merror:0.35 validation_0-mlogloss:0.722272 [28] validation_0-merror:0.35 validation_0-mlogloss:0.725958 [29] validation_0-merror:0.35 validation_0-mlogloss:0.724121 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.718928 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.712691 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.710173 [33] validation_0-merror:0.3 validation_0-mlogloss:0.702509 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.703835 [35] validation_0-merror:0.3 validation_0-mlogloss:0.7069 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.712179 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.708767 [38] validation_0-merror:0.3 validation_0-mlogloss:0.706825 Stopping. Best iteration: [33] validation_0-merror:0.3 validation_0-mlogloss:0.702509 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06089 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02667 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.996167 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.971367 [4] validation_0-merror:0.4 validation_0-mlogloss:0.951155 [5] validation_0-merror:0.4 validation_0-mlogloss:0.926232 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.897982 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.876507 [8] validation_0-merror:0.35 validation_0-mlogloss:0.85753 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.840225 [10] validation_0-merror:0.35 validation_0-mlogloss:0.823894 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811623 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.803413 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.78826 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783034 [15] validation_0-merror:0.35 validation_0-mlogloss:0.773406 [16] validation_0-merror:0.35 validation_0-mlogloss:0.764691 [17] validation_0-merror:0.35 validation_0-mlogloss:0.756626 [18] validation_0-merror:0.35 validation_0-mlogloss:0.752489 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.746545 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.738262 [21] validation_0-merror:0.35 validation_0-mlogloss:0.737295 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.728542 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.722141 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719011 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.709157 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.705083 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.701492 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.700655 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.700129 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.691929 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.690306 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.689444 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.68794 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685976 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.686042 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.687191 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.684497 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.6836 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.686123 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.682176 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.684078 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.684001 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.685629 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.685415 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.683188 Stopping. Best iteration: [40] validation_0-merror:0.316667 validation_0-mlogloss:0.682176 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06278 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02943 [2] validation_0-merror:0.35 validation_0-mlogloss:0.996357 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.970386 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.946875 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921129 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.898926 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.879866 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868648 [9] validation_0-merror:0.4 validation_0-mlogloss:0.853744 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.837265 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.825901 [12] validation_0-merror:0.35 validation_0-mlogloss:0.816494 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805328 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794744 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783936 [16] validation_0-merror:0.3 validation_0-mlogloss:0.778227 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769724 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76467 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755606 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748838 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745346 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739202 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732855 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728711 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726402 [26] validation_0-merror:0.3 validation_0-mlogloss:0.71979 [27] validation_0-merror:0.3 validation_0-mlogloss:0.714358 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70955 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706329 [30] validation_0-merror:0.3 validation_0-mlogloss:0.697865 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.692939 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.691889 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.687198 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.681722 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.680455 [36] validation_0-merror:0.3 validation_0-mlogloss:0.678147 [37] validation_0-merror:0.3 validation_0-mlogloss:0.67479 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.671578 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.671184 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.667683 [41] validation_0-merror:0.3 validation_0-mlogloss:0.666447 [42] validation_0-merror:0.3 validation_0-mlogloss:0.664091 [43] validation_0-merror:0.3 validation_0-mlogloss:0.663182 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.664248 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.661706 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.65973 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.660805 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.658903 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.65551 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.656688 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.653752 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.652614 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.650579 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.651009 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.649111 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.653147 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.653424 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.653168 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.652064 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.651623 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.649111 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0629 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02709 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989484 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966474 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943708 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.918402 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896032 [7] validation_0-merror:0.35 validation_0-mlogloss:0.877153 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.860326 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84634 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.832136 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820307 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.80884 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798841 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.789298 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780081 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774195 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766972 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761202 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.753013 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744511 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741622 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.733388 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.727322 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723054 [25] validation_0-merror:0.3 validation_0-mlogloss:0.717345 [26] validation_0-merror:0.3 validation_0-mlogloss:0.711278 [27] validation_0-merror:0.3 validation_0-mlogloss:0.70527 [28] validation_0-merror:0.3 validation_0-mlogloss:0.704634 [29] validation_0-merror:0.3 validation_0-mlogloss:0.700995 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694401 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691735 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.68788 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.680889 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.675799 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.674822 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.674407 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.669592 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.665471 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.664356 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.659892 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.657614 [42] validation_0-merror:0.3 validation_0-mlogloss:0.65649 [43] validation_0-merror:0.3 validation_0-mlogloss:0.654081 [44] validation_0-merror:0.3 validation_0-mlogloss:0.656162 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.651969 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.648832 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.650823 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.648348 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644091 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.643899 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.64114 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.640754 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.639159 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.63981 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.640542 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.642294 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.64319 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.643686 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.639159 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02889 [2] validation_0-merror:0.4 validation_0-mlogloss:0.990738 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967534 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944772 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919666 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897114 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.881873 [8] validation_0-merror:0.35 validation_0-mlogloss:0.866482 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.851726 [10] validation_0-merror:0.35 validation_0-mlogloss:0.84057 [11] validation_0-merror:0.35 validation_0-mlogloss:0.826902 [12] validation_0-merror:0.35 validation_0-mlogloss:0.816187 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.805035 [14] validation_0-merror:0.3 validation_0-mlogloss:0.790576 [15] validation_0-merror:0.3 validation_0-mlogloss:0.779615 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.771847 [17] validation_0-merror:0.3 validation_0-mlogloss:0.764556 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.758957 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.752638 [20] validation_0-merror:0.3 validation_0-mlogloss:0.744334 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738906 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731367 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723963 [24] validation_0-merror:0.3 validation_0-mlogloss:0.720131 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.717153 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.711695 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.705765 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70106 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.698156 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.691884 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688238 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.684531 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.678748 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.675524 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.674396 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.673848 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668769 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.665246 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.664257 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.659926 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.657263 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.653307 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.652734 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.653742 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.651995 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.651141 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.652631 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.650994 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.647578 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.648357 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.645654 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.644404 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.642321 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.643082 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.640908 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.641788 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.642875 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.643667 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.641344 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.640197 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.639035 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.637187 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.637041 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.637033 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.638455 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.636045 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.635263 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.635309 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.636739 [70] validation_0-merror:0.25 validation_0-mlogloss:0.63447 [71] validation_0-merror:0.25 validation_0-mlogloss:0.638059 [72] validation_0-merror:0.25 validation_0-mlogloss:0.637533 [73] validation_0-merror:0.25 validation_0-mlogloss:0.639084 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.638445 [75] validation_0-merror:0.266667 validation_0-mlogloss:0.638645 Stopping. Best iteration: [70] validation_0-merror:0.25 validation_0-mlogloss:0.63447 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06282 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02693 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.989375 [3] validation_0-merror:0.35 validation_0-mlogloss:0.966322 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.941902 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.916776 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894154 [7] validation_0-merror:0.35 validation_0-mlogloss:0.875384 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.858791 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.84547 [10] validation_0-merror:0.35 validation_0-mlogloss:0.833347 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820585 [12] validation_0-merror:0.35 validation_0-mlogloss:0.81043 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.799151 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.786151 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776197 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.768403 [17] validation_0-merror:0.3 validation_0-mlogloss:0.761425 [18] validation_0-merror:0.3 validation_0-mlogloss:0.755567 [19] validation_0-merror:0.3 validation_0-mlogloss:0.746644 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738218 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.732731 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.725448 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.717917 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713945 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.711159 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.705737 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.701935 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.697668 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.696506 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.690956 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.687386 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.683726 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.677347 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.674079 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.672879 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.672425 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668819 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.665252 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.663661 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.660382 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.657642 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.656523 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.655889 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.657982 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.65418 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.653867 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654897 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.65271 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.649155 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.652099 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.649612 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.649909 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.648414 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.648769 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.648806 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652195 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.65473 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.655574 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.648414 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.0628 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02889 [2] validation_0-merror:0.4 validation_0-mlogloss:0.990932 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.967711 [4] validation_0-merror:0.35 validation_0-mlogloss:0.945025 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919749 [6] validation_0-merror:0.4 validation_0-mlogloss:0.897204 [7] validation_0-merror:0.35 validation_0-mlogloss:0.878357 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863098 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.848182 [10] validation_0-merror:0.35 validation_0-mlogloss:0.836997 [11] validation_0-merror:0.35 validation_0-mlogloss:0.82423 [12] validation_0-merror:0.35 validation_0-mlogloss:0.813444 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.802333 [14] validation_0-merror:0.3 validation_0-mlogloss:0.789192 [15] validation_0-merror:0.3 validation_0-mlogloss:0.777485 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.769606 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.762158 [18] validation_0-merror:0.3 validation_0-mlogloss:0.756898 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.750711 [20] validation_0-merror:0.3 validation_0-mlogloss:0.742724 [21] validation_0-merror:0.3 validation_0-mlogloss:0.737282 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.729876 [23] validation_0-merror:0.3 validation_0-mlogloss:0.722145 [24] validation_0-merror:0.3 validation_0-mlogloss:0.718251 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.715408 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.708488 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.703191 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.698397 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696229 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.691626 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.688049 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.68443 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.67825 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.674638 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.672579 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.67209 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.668138 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.66529 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.664455 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.660374 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.657781 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.6552 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.654665 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.655502 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.653713 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.65268 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.654337 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.652523 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.6488 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.648615 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.645979 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.646186 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.645436 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.646301 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.644141 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.645055 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.645719 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.646425 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.644124 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.642885 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.641759 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.639782 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.640027 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.640142 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.641675 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.638777 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.638314 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.638277 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.639553 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.63829 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.641831 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.641124 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.641435 Stopping. Best iteration: [68] validation_0-merror:0.283333 validation_0-mlogloss:0.638277 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0292 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994159 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.9691 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943175 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921608 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899501 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887371 [8] validation_0-merror:0.35 validation_0-mlogloss:0.870077 [9] validation_0-merror:0.35 validation_0-mlogloss:0.855888 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84606 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832329 [12] validation_0-merror:0.35 validation_0-mlogloss:0.823968 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.810206 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797177 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783426 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776178 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76841 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.762475 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757955 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752564 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747235 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737331 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726311 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720433 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.707471 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.70252 [27] validation_0-merror:0.3 validation_0-mlogloss:0.69941 [28] validation_0-merror:0.3 validation_0-mlogloss:0.697203 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69667 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687268 [31] validation_0-merror:0.3 validation_0-mlogloss:0.680262 [32] validation_0-merror:0.3 validation_0-mlogloss:0.676713 [33] validation_0-merror:0.3 validation_0-mlogloss:0.673395 [34] validation_0-merror:0.3 validation_0-mlogloss:0.67173 [35] validation_0-merror:0.3 validation_0-mlogloss:0.670245 [36] validation_0-merror:0.3 validation_0-mlogloss:0.667869 [37] validation_0-merror:0.3 validation_0-mlogloss:0.664594 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.663173 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.663716 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.662381 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.659376 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.658552 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.655986 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.651765 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.648189 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.645419 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.644876 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.647391 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644533 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.644566 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.64154 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.641847 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.641034 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.640018 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.640685 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.639023 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.638959 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.640835 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.640349 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.638677 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.636683 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.63478 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.634654 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.632654 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.631453 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.62957 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.629048 [68] validation_0-merror:0.25 validation_0-mlogloss:0.629153 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.626739 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.628055 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.629826 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.628485 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.628663 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.628925 Stopping. Best iteration: [69] validation_0-merror:0.266667 validation_0-mlogloss:0.626739 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06287 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02898 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994119 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.969211 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943298 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920048 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898165 [7] validation_0-merror:0.35 validation_0-mlogloss:0.885834 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868606 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854372 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.84451 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.830698 [12] validation_0-merror:0.35 validation_0-mlogloss:0.822345 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808516 [14] validation_0-merror:0.35 validation_0-mlogloss:0.795401 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782288 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774928 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.766997 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.76089 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756927 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751144 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746237 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736323 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725305 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72032 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7072 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702083 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699007 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696834 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696329 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687127 [31] validation_0-merror:0.3 validation_0-mlogloss:0.680047 [32] validation_0-merror:0.3 validation_0-mlogloss:0.676555 [33] validation_0-merror:0.3 validation_0-mlogloss:0.671053 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.669278 [35] validation_0-merror:0.3 validation_0-mlogloss:0.667696 [36] validation_0-merror:0.3 validation_0-mlogloss:0.665738 [37] validation_0-merror:0.3 validation_0-mlogloss:0.661702 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.65892 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.658286 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.65751 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.654471 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.653733 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.651837 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.649067 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.645616 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.642905 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.642067 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.644518 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.642449 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.64231 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.638367 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.638564 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.638063 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.637942 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.639038 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.638897 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.641561 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.640898 [59] validation_0-merror:0.25 validation_0-mlogloss:0.640485 Stopping. Best iteration: [54] validation_0-merror:0.266667 validation_0-mlogloss:0.637942 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06317 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02851 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.993371 [3] validation_0-merror:0.4 validation_0-mlogloss:0.968047 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.943756 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920493 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897882 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.885849 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868749 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854794 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.84489 [11] validation_0-merror:0.35 validation_0-mlogloss:0.830949 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.820624 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80664 [14] validation_0-merror:0.35 validation_0-mlogloss:0.792639 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.778622 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.771335 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.763717 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.758338 [19] validation_0-merror:0.35 validation_0-mlogloss:0.756243 [20] validation_0-merror:0.35 validation_0-mlogloss:0.751915 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746457 [22] validation_0-merror:0.35 validation_0-mlogloss:0.736706 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726179 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718529 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.705882 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702294 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699559 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.698538 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.693669 [30] validation_0-merror:0.3 validation_0-mlogloss:0.684742 [31] validation_0-merror:0.3 validation_0-mlogloss:0.677952 [32] validation_0-merror:0.3 validation_0-mlogloss:0.675854 [33] validation_0-merror:0.3 validation_0-mlogloss:0.673489 [34] validation_0-merror:0.3 validation_0-mlogloss:0.671939 [35] validation_0-merror:0.3 validation_0-mlogloss:0.670974 [36] validation_0-merror:0.3 validation_0-mlogloss:0.667878 [37] validation_0-merror:0.3 validation_0-mlogloss:0.664845 [38] validation_0-merror:0.3 validation_0-mlogloss:0.660735 [39] validation_0-merror:0.3 validation_0-mlogloss:0.65979 [40] validation_0-merror:0.3 validation_0-mlogloss:0.658725 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.655388 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.654519 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.652905 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.649669 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.646409 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.644943 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.644255 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646768 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.641601 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.640469 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.637368 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.637599 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.636612 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.635718 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.635521 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.636144 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.637781 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.638283 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.638037 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.636506 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.635521 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.0292 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994164 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.969104 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94318 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.921454 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899529 [7] validation_0-merror:0.35 validation_0-mlogloss:0.887339 [8] validation_0-merror:0.35 validation_0-mlogloss:0.869955 [9] validation_0-merror:0.35 validation_0-mlogloss:0.855697 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.845811 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832895 [12] validation_0-merror:0.35 validation_0-mlogloss:0.824537 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.81071 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797626 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.783864 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776554 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.76869 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.762703 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758126 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752653 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.747317 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737016 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726007 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.719878 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706898 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.701918 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698807 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696698 [29] validation_0-merror:0.3 validation_0-mlogloss:0.696176 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686742 [31] validation_0-merror:0.3 validation_0-mlogloss:0.679708 [32] validation_0-merror:0.3 validation_0-mlogloss:0.676266 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.672788 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.671106 [35] validation_0-merror:0.3 validation_0-mlogloss:0.669616 [36] validation_0-merror:0.3 validation_0-mlogloss:0.666886 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.663066 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.661591 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.662159 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.661222 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.658248 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.657427 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.654987 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.651983 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.648425 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.645644 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.645183 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.647669 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644894 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.644902 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.641893 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.642158 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.640513 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.639508 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.640224 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.639963 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.642624 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.644538 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.644075 Stopping. Best iteration: [54] validation_0-merror:0.266667 validation_0-mlogloss:0.639508 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02342 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988075 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.963216 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94167 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920952 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.898701 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.882681 [8] validation_0-merror:0.4 validation_0-mlogloss:0.86708 [9] validation_0-merror:0.4 validation_0-mlogloss:0.851907 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.83838 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.825178 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.815429 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80084 [14] validation_0-merror:0.35 validation_0-mlogloss:0.790138 [15] validation_0-merror:0.35 validation_0-mlogloss:0.774387 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767215 [17] validation_0-merror:0.35 validation_0-mlogloss:0.757644 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.749441 [19] validation_0-merror:0.35 validation_0-mlogloss:0.746953 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.744451 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.739043 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.729765 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.722632 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.713322 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.70178 [26] validation_0-merror:0.3 validation_0-mlogloss:0.698652 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.698339 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.698068 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69627 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.689518 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.682871 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.681739 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.677966 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.675084 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.674305 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.672868 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.668552 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.667751 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.665882 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.665351 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.662559 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.665014 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.665554 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.660226 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.658913 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.659105 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.65979 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660996 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.655386 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.655203 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.651182 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.650704 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.650937 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.650054 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.6492 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.64728 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.649568 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.652381 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.653372 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.651699 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.652315 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.64728 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05797 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01889 [2] validation_0-merror:0.433333 validation_0-mlogloss:0.982298 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.955646 [4] validation_0-merror:0.4 validation_0-mlogloss:0.925616 [5] validation_0-merror:0.4 validation_0-mlogloss:0.900146 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.875362 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.858235 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.838418 [9] validation_0-merror:0.35 validation_0-mlogloss:0.822755 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.808451 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.794114 [12] validation_0-merror:0.383333 validation_0-mlogloss:0.787061 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.776281 [14] validation_0-merror:0.35 validation_0-mlogloss:0.764899 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.756229 [16] validation_0-merror:0.35 validation_0-mlogloss:0.748991 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.743116 [18] validation_0-merror:0.3 validation_0-mlogloss:0.739718 [19] validation_0-merror:0.35 validation_0-mlogloss:0.737262 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.729519 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.723934 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.717893 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.714755 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.712854 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.702761 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.70186 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.701945 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.70248 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.70467 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.697858 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.69892 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.700957 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.694902 [34] validation_0-merror:0.35 validation_0-mlogloss:0.693888 [35] validation_0-merror:0.366667 validation_0-mlogloss:0.696674 [36] validation_0-merror:0.366667 validation_0-mlogloss:0.700016 [37] validation_0-merror:0.35 validation_0-mlogloss:0.698783 [38] validation_0-merror:0.35 validation_0-mlogloss:0.694923 [39] validation_0-merror:0.35 validation_0-mlogloss:0.696223 Stopping. Best iteration: [34] validation_0-merror:0.35 validation_0-mlogloss:0.693888 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.04782 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.00506 [2] validation_0-merror:0.35 validation_0-mlogloss:0.967069 [3] validation_0-merror:0.3 validation_0-mlogloss:0.937235 [4] validation_0-merror:0.3 validation_0-mlogloss:0.912214 [5] validation_0-merror:0.283333 validation_0-mlogloss:0.893411 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.872332 [7] validation_0-merror:0.3 validation_0-mlogloss:0.852441 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.837828 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.821287 [10] validation_0-merror:0.3 validation_0-mlogloss:0.807154 [11] validation_0-merror:0.3 validation_0-mlogloss:0.789062 [12] validation_0-merror:0.3 validation_0-mlogloss:0.781635 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.772378 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.769503 [15] validation_0-merror:0.3 validation_0-mlogloss:0.761473 [16] validation_0-merror:0.3 validation_0-mlogloss:0.760821 [17] validation_0-merror:0.3 validation_0-mlogloss:0.75502 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.747805 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.743611 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.735248 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.735562 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.732669 [23] validation_0-merror:0.3 validation_0-mlogloss:0.72935 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.731298 [25] validation_0-merror:0.3 validation_0-mlogloss:0.727457 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.725986 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720773 [28] validation_0-merror:0.3 validation_0-mlogloss:0.720645 [29] validation_0-merror:0.3 validation_0-mlogloss:0.719562 [30] validation_0-merror:0.3 validation_0-mlogloss:0.721326 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.717831 [32] validation_0-merror:0.3 validation_0-mlogloss:0.71566 [33] validation_0-merror:0.3 validation_0-mlogloss:0.711869 [34] validation_0-merror:0.3 validation_0-mlogloss:0.713032 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.71399 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.712748 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.709856 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.708593 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.704046 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.70396 [41] validation_0-merror:0.3 validation_0-mlogloss:0.704583 [42] validation_0-merror:0.3 validation_0-mlogloss:0.704994 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.707809 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.709857 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.710213 Stopping. Best iteration: [40] validation_0-merror:0.283333 validation_0-mlogloss:0.70396 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06206 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0268 [2] validation_0-merror:0.4 validation_0-mlogloss:0.991325 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.971255 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951631 [5] validation_0-merror:0.3 validation_0-mlogloss:0.927806 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.904896 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.886492 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870868 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.856459 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.838778 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.824724 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.812943 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.800092 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790609 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.776722 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.770748 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.763427 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.759416 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754882 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.748313 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.744809 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736942 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.729666 [24] validation_0-merror:0.3 validation_0-mlogloss:0.726356 [25] validation_0-merror:0.3 validation_0-mlogloss:0.71785 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710848 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.706303 [28] validation_0-merror:0.3 validation_0-mlogloss:0.704321 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.701587 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693198 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.689338 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.688017 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.686361 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.683158 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.68218 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.683071 [37] validation_0-merror:0.266667 validation_0-mlogloss:0.679532 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.677626 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.678681 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.674951 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.671078 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.66966 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.665429 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.666722 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.66297 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.660574 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.661555 [48] validation_0-merror:0.25 validation_0-mlogloss:0.659502 [49] validation_0-merror:0.25 validation_0-mlogloss:0.654126 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.655979 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.653294 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.651878 [53] validation_0-merror:0.25 validation_0-mlogloss:0.649586 [54] validation_0-merror:0.25 validation_0-mlogloss:0.650665 [55] validation_0-merror:0.25 validation_0-mlogloss:0.648961 [56] validation_0-merror:0.25 validation_0-mlogloss:0.649834 [57] validation_0-merror:0.25 validation_0-mlogloss:0.652986 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.654526 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.653105 [60] validation_0-merror:0.25 validation_0-mlogloss:0.653155 Stopping. Best iteration: [55] validation_0-merror:0.25 validation_0-mlogloss:0.648961 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05593 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01501 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.979284 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.953151 [4] validation_0-merror:0.4 validation_0-mlogloss:0.923251 [5] validation_0-merror:0.35 validation_0-mlogloss:0.894994 [6] validation_0-merror:0.35 validation_0-mlogloss:0.869434 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.851838 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.830615 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.812884 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.801184 [11] validation_0-merror:0.3 validation_0-mlogloss:0.786509 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.773342 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.7566 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.747585 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.738278 [16] validation_0-merror:0.3 validation_0-mlogloss:0.730756 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.726381 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.7255 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.721862 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.720841 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.7155 [22] validation_0-merror:0.266667 validation_0-mlogloss:0.709375 [23] validation_0-merror:0.266667 validation_0-mlogloss:0.707227 [24] validation_0-merror:0.266667 validation_0-mlogloss:0.699349 [25] validation_0-merror:0.266667 validation_0-mlogloss:0.688624 [26] validation_0-merror:0.266667 validation_0-mlogloss:0.687611 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.684331 [28] validation_0-merror:0.266667 validation_0-mlogloss:0.68752 [29] validation_0-merror:0.266667 validation_0-mlogloss:0.69119 [30] validation_0-merror:0.266667 validation_0-mlogloss:0.685328 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.684142 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.685423 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.682953 [34] validation_0-merror:0.3 validation_0-mlogloss:0.681833 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.680465 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.684007 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681499 [38] validation_0-merror:0.3 validation_0-mlogloss:0.680273 [39] validation_0-merror:0.3 validation_0-mlogloss:0.684394 [40] validation_0-merror:0.3 validation_0-mlogloss:0.68968 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.688982 [42] validation_0-merror:0.3 validation_0-mlogloss:0.692663 [43] validation_0-merror:0.3 validation_0-mlogloss:0.696955 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.680273 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06114 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02342 [2] validation_0-merror:0.35 validation_0-mlogloss:0.993769 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.965808 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.944057 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.921282 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.903337 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87869 [8] validation_0-merror:0.35 validation_0-mlogloss:0.863648 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846386 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.831126 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.816596 [12] validation_0-merror:0.3 validation_0-mlogloss:0.805195 [13] validation_0-merror:0.3 validation_0-mlogloss:0.7969 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.786972 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.785146 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.776099 [17] validation_0-merror:0.266667 validation_0-mlogloss:0.770427 [18] validation_0-merror:0.266667 validation_0-mlogloss:0.770074 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765941 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.766242 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.75994 [22] validation_0-merror:0.3 validation_0-mlogloss:0.754647 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749219 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.744309 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.744421 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741568 [27] validation_0-merror:0.3 validation_0-mlogloss:0.738921 [28] validation_0-merror:0.3 validation_0-mlogloss:0.735829 [29] validation_0-merror:0.3 validation_0-mlogloss:0.73299 [30] validation_0-merror:0.3 validation_0-mlogloss:0.728427 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.725882 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.726511 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72528 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.726353 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.729424 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.73011 [37] validation_0-merror:0.3 validation_0-mlogloss:0.726952 [38] validation_0-merror:0.3 validation_0-mlogloss:0.727132 Stopping. Best iteration: [33] validation_0-merror:0.316667 validation_0-mlogloss:0.72528 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06041 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.0181 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.985203 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955917 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.931275 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908875 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890668 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.872473 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.855991 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.844623 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83228 [11] validation_0-merror:0.35 validation_0-mlogloss:0.819076 [12] validation_0-merror:0.35 validation_0-mlogloss:0.810771 [13] validation_0-merror:0.35 validation_0-mlogloss:0.802234 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.792871 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779851 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774856 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767242 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75846 [19] validation_0-merror:0.3 validation_0-mlogloss:0.753479 [20] validation_0-merror:0.3 validation_0-mlogloss:0.745633 [21] validation_0-merror:0.3 validation_0-mlogloss:0.742731 [22] validation_0-merror:0.3 validation_0-mlogloss:0.737405 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737537 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.732533 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.730241 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.721846 [27] validation_0-merror:0.3 validation_0-mlogloss:0.716545 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713423 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.711662 [30] validation_0-merror:0.3 validation_0-mlogloss:0.706388 [31] validation_0-merror:0.3 validation_0-mlogloss:0.704441 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.699861 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.693788 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.690183 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.688876 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.686138 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.684176 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683001 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.681762 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.678066 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.675712 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676337 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673195 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671041 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667091 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.665553 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.666851 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.665598 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.665426 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.664857 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660608 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.660912 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.662728 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.6616 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.66189 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.662026 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.660608 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05724 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0206 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985608 [3] validation_0-merror:0.3 validation_0-mlogloss:0.957409 [4] validation_0-merror:0.35 validation_0-mlogloss:0.934061 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.914333 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.888814 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.864942 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.844901 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.829415 [10] validation_0-merror:0.3 validation_0-mlogloss:0.814752 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807096 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.797598 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.789074 [14] validation_0-merror:0.35 validation_0-mlogloss:0.777275 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.769626 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.764562 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752126 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.74614 [19] validation_0-merror:0.35 validation_0-mlogloss:0.745826 [20] validation_0-merror:0.35 validation_0-mlogloss:0.739447 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7346 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.727413 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.723486 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.713839 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.703798 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.702726 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.703841 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.701032 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.700864 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.695082 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.692455 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.691845 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687589 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.686265 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.685045 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.687786 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.685425 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.683931 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.685896 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.68216 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.682302 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.683016 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.679539 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.683183 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.680256 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.679252 [47] validation_0-merror:0.333333 validation_0-mlogloss:0.678758 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.677382 [49] validation_0-merror:0.3 validation_0-mlogloss:0.676107 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.678354 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.678001 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.678742 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.683123 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.686465 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.676107 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05957 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02026 [2] validation_0-merror:0.4 validation_0-mlogloss:0.985117 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.957496 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.932352 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.905675 [6] validation_0-merror:0.35 validation_0-mlogloss:0.879318 [7] validation_0-merror:0.35 validation_0-mlogloss:0.865191 [8] validation_0-merror:0.35 validation_0-mlogloss:0.845178 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829051 [10] validation_0-merror:0.35 validation_0-mlogloss:0.809431 [11] validation_0-merror:0.35 validation_0-mlogloss:0.799851 [12] validation_0-merror:0.35 validation_0-mlogloss:0.791033 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.784977 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777365 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.766189 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.762468 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.754256 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752603 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.750191 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748803 [21] validation_0-merror:0.3 validation_0-mlogloss:0.748818 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738333 [23] validation_0-merror:0.3 validation_0-mlogloss:0.734109 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727457 [25] validation_0-merror:0.3 validation_0-mlogloss:0.730163 [26] validation_0-merror:0.3 validation_0-mlogloss:0.728969 [27] validation_0-merror:0.3 validation_0-mlogloss:0.729461 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729181 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.724066 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.722075 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.723077 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.720866 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.718151 [34] validation_0-merror:0.3 validation_0-mlogloss:0.723282 [35] validation_0-merror:0.3 validation_0-mlogloss:0.724174 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.731319 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.729252 [38] validation_0-merror:0.3 validation_0-mlogloss:0.730868 Stopping. Best iteration: [33] validation_0-merror:0.283333 validation_0-mlogloss:0.718151 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06147 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02381 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985821 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.96004 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.937849 [5] validation_0-merror:0.35 validation_0-mlogloss:0.917916 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899479 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883746 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.86617 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.851258 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.839557 [11] validation_0-merror:0.3 validation_0-mlogloss:0.825446 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813751 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.803864 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.794729 [15] validation_0-merror:0.3 validation_0-mlogloss:0.781137 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.778473 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.772542 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763991 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755532 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.747163 [21] validation_0-merror:0.3 validation_0-mlogloss:0.743107 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73732 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731766 [24] validation_0-merror:0.3 validation_0-mlogloss:0.730001 [25] validation_0-merror:0.3 validation_0-mlogloss:0.728259 [26] validation_0-merror:0.3 validation_0-mlogloss:0.723033 [27] validation_0-merror:0.3 validation_0-mlogloss:0.71703 [28] validation_0-merror:0.3 validation_0-mlogloss:0.715427 [29] validation_0-merror:0.3 validation_0-mlogloss:0.713184 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.711286 [31] validation_0-merror:0.3 validation_0-mlogloss:0.708168 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.706686 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.702253 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.699393 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698431 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.696179 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.692689 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690331 [39] validation_0-merror:0.3 validation_0-mlogloss:0.686672 [40] validation_0-merror:0.3 validation_0-mlogloss:0.682739 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.680019 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677561 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.675687 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.673994 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.673198 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.67383 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.67348 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.672294 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.669768 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.671063 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.668395 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.667866 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668005 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.665746 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.665312 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.668237 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.668195 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.670197 [59] validation_0-merror:0.3 validation_0-mlogloss:0.670231 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.671733 Stopping. Best iteration: [55] validation_0-merror:0.266667 validation_0-mlogloss:0.665312 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05907 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02036 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.98606 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.960156 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.932052 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.908509 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.885199 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871591 [8] validation_0-merror:0.35 validation_0-mlogloss:0.852705 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.834638 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823195 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.809687 [12] validation_0-merror:0.3 validation_0-mlogloss:0.799983 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.786586 [14] validation_0-merror:0.3 validation_0-mlogloss:0.779438 [15] validation_0-merror:0.3 validation_0-mlogloss:0.770038 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.766664 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.766242 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.764496 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.765568 [20] validation_0-merror:0.3 validation_0-mlogloss:0.760417 [21] validation_0-merror:0.3 validation_0-mlogloss:0.755647 [22] validation_0-merror:0.3 validation_0-mlogloss:0.74855 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748068 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744103 [25] validation_0-merror:0.3 validation_0-mlogloss:0.738271 [26] validation_0-merror:0.3 validation_0-mlogloss:0.736709 [27] validation_0-merror:0.3 validation_0-mlogloss:0.739713 [28] validation_0-merror:0.3 validation_0-mlogloss:0.7412 [29] validation_0-merror:0.3 validation_0-mlogloss:0.738597 [30] validation_0-merror:0.3 validation_0-mlogloss:0.739741 [31] validation_0-merror:0.3 validation_0-mlogloss:0.736503 [32] validation_0-merror:0.3 validation_0-mlogloss:0.73356 [33] validation_0-merror:0.3 validation_0-mlogloss:0.734378 [34] validation_0-merror:0.3 validation_0-mlogloss:0.733518 [35] validation_0-merror:0.3 validation_0-mlogloss:0.734221 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.737879 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.737406 [38] validation_0-merror:0.35 validation_0-mlogloss:0.735704 [39] validation_0-merror:0.35 validation_0-mlogloss:0.735047 Stopping. Best iteration: [34] validation_0-merror:0.3 validation_0-mlogloss:0.733518 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05637 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.433333 validation_0-mlogloss:1.01671 [2] validation_0-merror:0.4 validation_0-mlogloss:0.979983 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952594 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.922676 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.904987 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.87731 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.860054 [8] validation_0-merror:0.35 validation_0-mlogloss:0.840233 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.825969 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.813216 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.804413 [12] validation_0-merror:0.35 validation_0-mlogloss:0.791319 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.778832 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.773979 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769334 [16] validation_0-merror:0.35 validation_0-mlogloss:0.764941 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.764592 [18] validation_0-merror:0.35 validation_0-mlogloss:0.762126 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755941 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.752205 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.753896 [22] validation_0-merror:0.35 validation_0-mlogloss:0.751239 [23] validation_0-merror:0.35 validation_0-mlogloss:0.753613 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75564 [25] validation_0-merror:0.35 validation_0-mlogloss:0.752872 [26] validation_0-merror:0.35 validation_0-mlogloss:0.745888 [27] validation_0-merror:0.35 validation_0-mlogloss:0.742108 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.743642 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.740623 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.739514 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73698 [32] validation_0-merror:0.35 validation_0-mlogloss:0.738537 [33] validation_0-merror:0.35 validation_0-mlogloss:0.738226 [34] validation_0-merror:0.35 validation_0-mlogloss:0.741112 [35] validation_0-merror:0.35 validation_0-mlogloss:0.745042 [36] validation_0-merror:0.35 validation_0-mlogloss:0.755663 Stopping. Best iteration: [31] validation_0-merror:0.333333 validation_0-mlogloss:0.73698 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06343 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02384 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.985643 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.959281 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.935035 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.911628 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.889779 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.871561 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.854095 [9] validation_0-merror:0.35 validation_0-mlogloss:0.839361 [10] validation_0-merror:0.35 validation_0-mlogloss:0.825595 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.812751 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.804048 [13] validation_0-merror:0.35 validation_0-mlogloss:0.791571 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778137 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769363 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763694 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.758002 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.752117 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.743577 [20] validation_0-merror:0.3 validation_0-mlogloss:0.737738 [21] validation_0-merror:0.3 validation_0-mlogloss:0.732473 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725826 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.718742 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715786 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713411 [26] validation_0-merror:0.3 validation_0-mlogloss:0.708157 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704056 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699939 [29] validation_0-merror:0.3 validation_0-mlogloss:0.694963 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688693 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.685221 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683538 [33] validation_0-merror:0.3 validation_0-mlogloss:0.680465 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678119 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67795 [36] validation_0-merror:0.3 validation_0-mlogloss:0.675822 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672229 [38] validation_0-merror:0.3 validation_0-mlogloss:0.668167 [39] validation_0-merror:0.3 validation_0-mlogloss:0.666846 [40] validation_0-merror:0.3 validation_0-mlogloss:0.662903 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.659684 [42] validation_0-merror:0.3 validation_0-mlogloss:0.655523 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.654186 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.651773 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.648164 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.646203 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.646017 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.644159 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.641774 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.643695 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.641242 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.640432 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.639794 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.638193 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.63816 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.639324 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.640184 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.641073 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.642059 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.63827 Stopping. Best iteration: [55] validation_0-merror:0.283333 validation_0-mlogloss:0.63816 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.06052 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02021 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.983957 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.956839 [4] validation_0-merror:0.4 validation_0-mlogloss:0.929951 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.909274 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.887539 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.87223 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.85556 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.846881 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.828592 [11] validation_0-merror:0.3 validation_0-mlogloss:0.812539 [12] validation_0-merror:0.3 validation_0-mlogloss:0.802025 [13] validation_0-merror:0.3 validation_0-mlogloss:0.796452 [14] validation_0-merror:0.3 validation_0-mlogloss:0.793224 [15] validation_0-merror:0.3 validation_0-mlogloss:0.78263 [16] validation_0-merror:0.3 validation_0-mlogloss:0.779485 [17] validation_0-merror:0.3 validation_0-mlogloss:0.776429 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.769465 [19] validation_0-merror:0.3 validation_0-mlogloss:0.766835 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.764387 [21] validation_0-merror:0.3 validation_0-mlogloss:0.764685 [22] validation_0-merror:0.3 validation_0-mlogloss:0.757397 [23] validation_0-merror:0.3 validation_0-mlogloss:0.748935 [24] validation_0-merror:0.3 validation_0-mlogloss:0.745404 [25] validation_0-merror:0.3 validation_0-mlogloss:0.746825 [26] validation_0-merror:0.3 validation_0-mlogloss:0.749646 [27] validation_0-merror:0.3 validation_0-mlogloss:0.7503 [28] validation_0-merror:0.3 validation_0-mlogloss:0.747363 [29] validation_0-merror:0.3 validation_0-mlogloss:0.744962 [30] validation_0-merror:0.3 validation_0-mlogloss:0.746052 [31] validation_0-merror:0.3 validation_0-mlogloss:0.745843 [32] validation_0-merror:0.3 validation_0-mlogloss:0.746585 [33] validation_0-merror:0.3 validation_0-mlogloss:0.752962 [34] validation_0-merror:0.3 validation_0-mlogloss:0.757125 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.744962 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0573 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02146 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.989512 [3] validation_0-merror:0.35 validation_0-mlogloss:0.962948 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.938964 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.91968 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.891946 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.869498 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.84944 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.832748 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.820362 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.811307 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.802537 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.793147 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.783183 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.778879 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.770081 [17] validation_0-merror:0.35 validation_0-mlogloss:0.760568 [18] validation_0-merror:0.35 validation_0-mlogloss:0.752537 [19] validation_0-merror:0.35 validation_0-mlogloss:0.753152 [20] validation_0-merror:0.35 validation_0-mlogloss:0.747804 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746203 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737697 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734481 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.72496 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713896 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.713557 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.714398 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713326 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.712812 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.708725 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.708166 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.709113 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.709009 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.709818 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.709053 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.71237 Stopping. Best iteration: [31] validation_0-merror:0.316667 validation_0-mlogloss:0.708166 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05951 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02229 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.987967 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.965894 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.941098 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.918909 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.900136 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883264 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.867547 [9] validation_0-merror:0.35 validation_0-mlogloss:0.856387 [10] validation_0-merror:0.35 validation_0-mlogloss:0.844827 [11] validation_0-merror:0.35 validation_0-mlogloss:0.83384 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.824621 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.815785 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804242 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.792862 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.789803 [17] validation_0-merror:0.35 validation_0-mlogloss:0.779509 [18] validation_0-merror:0.35 validation_0-mlogloss:0.772183 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767519 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758984 [21] validation_0-merror:0.35 validation_0-mlogloss:0.753827 [22] validation_0-merror:0.35 validation_0-mlogloss:0.747974 [23] validation_0-merror:0.35 validation_0-mlogloss:0.744722 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.739365 [25] validation_0-merror:0.35 validation_0-mlogloss:0.734597 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.72808 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.723352 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.720016 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.715384 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.712986 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.709077 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.704039 [33] validation_0-merror:0.3 validation_0-mlogloss:0.698012 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.695177 [35] validation_0-merror:0.3 validation_0-mlogloss:0.695286 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.691284 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.690742 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.686468 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.683624 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.679742 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.679589 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.679716 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.676823 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.674738 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.67276 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.671935 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.672838 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.67304 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.671586 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.669216 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.666481 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.664042 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.666822 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.666824 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.666277 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.665517 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.664294 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.664042 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05654 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01498 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.982685 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.958379 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.93738 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.913911 [6] validation_0-merror:0.35 validation_0-mlogloss:0.889546 [7] validation_0-merror:0.35 validation_0-mlogloss:0.872179 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.856879 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.842039 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.830104 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.81183 [12] validation_0-merror:0.35 validation_0-mlogloss:0.802719 [13] validation_0-merror:0.35 validation_0-mlogloss:0.788821 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.777976 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.773772 [16] validation_0-merror:0.35 validation_0-mlogloss:0.767969 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763148 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764075 [19] validation_0-merror:0.35 validation_0-mlogloss:0.764505 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.761379 [21] validation_0-merror:0.383333 validation_0-mlogloss:0.757006 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.752956 [23] validation_0-merror:0.383333 validation_0-mlogloss:0.747382 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.742011 [25] validation_0-merror:0.366667 validation_0-mlogloss:0.736319 [26] validation_0-merror:0.35 validation_0-mlogloss:0.734491 [27] validation_0-merror:0.366667 validation_0-mlogloss:0.737889 [28] validation_0-merror:0.35 validation_0-mlogloss:0.741442 [29] validation_0-merror:0.35 validation_0-mlogloss:0.739055 [30] validation_0-merror:0.35 validation_0-mlogloss:0.737863 [31] validation_0-merror:0.35 validation_0-mlogloss:0.734951 Stopping. Best iteration: [26] validation_0-merror:0.35 validation_0-mlogloss:0.734491 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05763 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01834 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.982 [3] validation_0-merror:0.35 validation_0-mlogloss:0.958771 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.931882 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.906824 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.880756 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.861477 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.842277 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.824571 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.811741 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798376 [12] validation_0-merror:0.3 validation_0-mlogloss:0.790561 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.778433 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.775569 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.76733 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.758001 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.750675 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.746967 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.746921 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74221 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.735557 [22] validation_0-merror:0.3 validation_0-mlogloss:0.729284 [23] validation_0-merror:0.3 validation_0-mlogloss:0.724188 [24] validation_0-merror:0.3 validation_0-mlogloss:0.719161 [25] validation_0-merror:0.3 validation_0-mlogloss:0.707431 [26] validation_0-merror:0.3 validation_0-mlogloss:0.706448 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.702952 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707083 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.709892 [30] validation_0-merror:0.3 validation_0-mlogloss:0.70461 [31] validation_0-merror:0.3 validation_0-mlogloss:0.700288 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700037 [33] validation_0-merror:0.3 validation_0-mlogloss:0.696557 [34] validation_0-merror:0.3 validation_0-mlogloss:0.698882 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698787 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696639 [37] validation_0-merror:0.3 validation_0-mlogloss:0.694949 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690885 [39] validation_0-merror:0.3 validation_0-mlogloss:0.691168 [40] validation_0-merror:0.3 validation_0-mlogloss:0.692035 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.693451 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.692757 [43] validation_0-merror:0.3 validation_0-mlogloss:0.695773 Stopping. Best iteration: [38] validation_0-merror:0.3 validation_0-mlogloss:0.690885 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.061 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02379 [2] validation_0-merror:0.283333 validation_0-mlogloss:0.989102 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.959499 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.926929 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.908632 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886173 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.866169 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.847714 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.830911 [10] validation_0-merror:0.35 validation_0-mlogloss:0.81293 [11] validation_0-merror:0.35 validation_0-mlogloss:0.799654 [12] validation_0-merror:0.35 validation_0-mlogloss:0.790875 [13] validation_0-merror:0.35 validation_0-mlogloss:0.780984 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.770162 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.761142 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.754349 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.750466 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.751404 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753464 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.749895 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749222 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.747488 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.748029 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.744161 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.740245 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.74118 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.743148 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.744343 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.739073 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.736995 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.735075 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.731036 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.728833 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727833 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.730422 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.734037 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.730968 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.730241 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.730292 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.727833 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.05845 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01888 [2] validation_0-merror:0.4 validation_0-mlogloss:0.984297 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.961506 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938094 [5] validation_0-merror:0.4 validation_0-mlogloss:0.920369 [6] validation_0-merror:0.4 validation_0-mlogloss:0.896821 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.879649 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.863907 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.848753 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.830354 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812841 [12] validation_0-merror:0.35 validation_0-mlogloss:0.805133 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.793053 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.789787 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780385 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771692 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767412 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76859 [19] validation_0-merror:0.35 validation_0-mlogloss:0.759941 [20] validation_0-merror:0.35 validation_0-mlogloss:0.758487 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758034 [22] validation_0-merror:0.35 validation_0-mlogloss:0.75269 [23] validation_0-merror:0.35 validation_0-mlogloss:0.750498 [24] validation_0-merror:0.35 validation_0-mlogloss:0.749054 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.745891 [26] validation_0-merror:0.35 validation_0-mlogloss:0.740057 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.739173 [28] validation_0-merror:0.35 validation_0-mlogloss:0.73722 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.735655 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.735788 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.729657 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.728162 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.728215 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.730732 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.733354 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.738701 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.734618 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.728162 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05564 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.3 validation_0-mlogloss:1.01243 [2] validation_0-merror:0.3 validation_0-mlogloss:0.973913 [3] validation_0-merror:0.3 validation_0-mlogloss:0.94391 [4] validation_0-merror:0.266667 validation_0-mlogloss:0.915896 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.89427 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.870213 [7] validation_0-merror:0.3 validation_0-mlogloss:0.854624 [8] validation_0-merror:0.3 validation_0-mlogloss:0.836214 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.821737 [10] validation_0-merror:0.3 validation_0-mlogloss:0.809223 [11] validation_0-merror:0.3 validation_0-mlogloss:0.796851 [12] validation_0-merror:0.3 validation_0-mlogloss:0.791084 [13] validation_0-merror:0.3 validation_0-mlogloss:0.785519 [14] validation_0-merror:0.3 validation_0-mlogloss:0.778912 [15] validation_0-merror:0.3 validation_0-mlogloss:0.768957 [16] validation_0-merror:0.3 validation_0-mlogloss:0.762529 [17] validation_0-merror:0.3 validation_0-mlogloss:0.754751 [18] validation_0-merror:0.3 validation_0-mlogloss:0.749413 [19] validation_0-merror:0.3 validation_0-mlogloss:0.744325 [20] validation_0-merror:0.3 validation_0-mlogloss:0.738924 [21] validation_0-merror:0.3 validation_0-mlogloss:0.734513 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.728592 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.726155 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.721667 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.719682 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.715974 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.712422 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.714209 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.709424 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.706857 [31] validation_0-merror:0.3 validation_0-mlogloss:0.70695 [32] validation_0-merror:0.3 validation_0-mlogloss:0.702606 [33] validation_0-merror:0.3 validation_0-mlogloss:0.70081 [34] validation_0-merror:0.3 validation_0-mlogloss:0.70208 [35] validation_0-merror:0.3 validation_0-mlogloss:0.698684 [36] validation_0-merror:0.3 validation_0-mlogloss:0.700639 [37] validation_0-merror:0.3 validation_0-mlogloss:0.698443 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698239 [39] validation_0-merror:0.3 validation_0-mlogloss:0.699689 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.702241 [41] validation_0-merror:0.3 validation_0-mlogloss:0.702342 [42] validation_0-merror:0.3 validation_0-mlogloss:0.700405 [43] validation_0-merror:0.3 validation_0-mlogloss:0.703959 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.698239 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06184 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02784 [2] validation_0-merror:0.3 validation_0-mlogloss:0.991989 [3] validation_0-merror:0.266667 validation_0-mlogloss:0.967298 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.944491 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9237 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.901605 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882896 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86534 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851175 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.833898 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.822069 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813203 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.800638 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790794 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782463 [16] validation_0-merror:0.35 validation_0-mlogloss:0.774914 [17] validation_0-merror:0.35 validation_0-mlogloss:0.770823 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.762248 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752605 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745871 [21] validation_0-merror:0.35 validation_0-mlogloss:0.73939 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734826 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.726991 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720289 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711275 [26] validation_0-merror:0.3 validation_0-mlogloss:0.707465 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704274 [28] validation_0-merror:0.3 validation_0-mlogloss:0.705149 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.703649 [30] validation_0-merror:0.3 validation_0-mlogloss:0.693817 [31] validation_0-merror:0.3 validation_0-mlogloss:0.689599 [32] validation_0-merror:0.3 validation_0-mlogloss:0.68598 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679287 [34] validation_0-merror:0.3 validation_0-mlogloss:0.673691 [35] validation_0-merror:0.3 validation_0-mlogloss:0.67269 [36] validation_0-merror:0.3 validation_0-mlogloss:0.672414 [37] validation_0-merror:0.3 validation_0-mlogloss:0.669779 [38] validation_0-merror:0.3 validation_0-mlogloss:0.668328 [39] validation_0-merror:0.3 validation_0-mlogloss:0.667038 [40] validation_0-merror:0.3 validation_0-mlogloss:0.663485 [41] validation_0-merror:0.3 validation_0-mlogloss:0.661094 [42] validation_0-merror:0.3 validation_0-mlogloss:0.659911 [43] validation_0-merror:0.3 validation_0-mlogloss:0.658215 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65493 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.650686 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.651438 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.65351 [48] validation_0-merror:0.3 validation_0-mlogloss:0.650916 [49] validation_0-merror:0.3 validation_0-mlogloss:0.647425 [50] validation_0-merror:0.3 validation_0-mlogloss:0.646925 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.642954 [52] validation_0-merror:0.3 validation_0-mlogloss:0.642015 [53] validation_0-merror:0.3 validation_0-mlogloss:0.640419 [54] validation_0-merror:0.3 validation_0-mlogloss:0.639098 [55] validation_0-merror:0.3 validation_0-mlogloss:0.63845 [56] validation_0-merror:0.3 validation_0-mlogloss:0.639417 [57] validation_0-merror:0.3 validation_0-mlogloss:0.638625 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.639885 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.63895 [60] validation_0-merror:0.3 validation_0-mlogloss:0.638944 Stopping. Best iteration: [55] validation_0-merror:0.3 validation_0-mlogloss:0.63845 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06203 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02458 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.991755 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.965551 [4] validation_0-merror:0.35 validation_0-mlogloss:0.944297 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.923489 [6] validation_0-merror:0.35 validation_0-mlogloss:0.894304 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.881391 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85861 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.840333 [10] validation_0-merror:0.3 validation_0-mlogloss:0.827255 [11] validation_0-merror:0.3 validation_0-mlogloss:0.811106 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.801852 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.790945 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.781368 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.772401 [16] validation_0-merror:0.3 validation_0-mlogloss:0.762368 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.756422 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754524 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757414 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.750421 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745615 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.738814 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.732654 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730099 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724548 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.719375 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719774 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.719349 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.715378 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.710512 [31] validation_0-merror:0.35 validation_0-mlogloss:0.708592 [32] validation_0-merror:0.35 validation_0-mlogloss:0.708969 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.705404 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.70425 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.703944 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.705572 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.70467 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.703325 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.703194 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.70052 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.700367 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.702704 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.702695 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.698077 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696438 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.697658 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699189 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.701977 [49] validation_0-merror:0.333333 validation_0-mlogloss:0.698892 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.700892 Stopping. Best iteration: [45] validation_0-merror:0.316667 validation_0-mlogloss:0.696438 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06107 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02663 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990684 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969673 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.946078 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925178 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900885 [7] validation_0-merror:0.35 validation_0-mlogloss:0.882479 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866913 [9] validation_0-merror:0.3 validation_0-mlogloss:0.851459 [10] validation_0-merror:0.3 validation_0-mlogloss:0.836553 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825427 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.812938 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80452 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.79337 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.783499 [16] validation_0-merror:0.3 validation_0-mlogloss:0.78109 [17] validation_0-merror:0.3 validation_0-mlogloss:0.774196 [18] validation_0-merror:0.3 validation_0-mlogloss:0.768898 [19] validation_0-merror:0.3 validation_0-mlogloss:0.761007 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.756586 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.753405 [22] validation_0-merror:0.3 validation_0-mlogloss:0.747506 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.739855 [24] validation_0-merror:0.3 validation_0-mlogloss:0.738305 [25] validation_0-merror:0.3 validation_0-mlogloss:0.734925 [26] validation_0-merror:0.3 validation_0-mlogloss:0.729688 [27] validation_0-merror:0.3 validation_0-mlogloss:0.722924 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.721705 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.721142 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.714362 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.710894 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.708126 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.706781 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.706912 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.706183 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.704784 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.700477 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.696583 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.695614 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.691341 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.690802 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.68887 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.687027 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.686407 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.685531 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.684837 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.686975 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.684337 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.683088 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.681087 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.680437 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.681488 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.681387 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.680376 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.67868 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.678718 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.679343 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.68076 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.680115 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.680389 Stopping. Best iteration: [55] validation_0-merror:0.266667 validation_0-mlogloss:0.67868 [0] validation_0-merror:0.4 validation_0-mlogloss:1.051 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.00964 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.981027 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.948668 [4] validation_0-merror:0.4 validation_0-mlogloss:0.923981 [5] validation_0-merror:0.35 validation_0-mlogloss:0.90411 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.881673 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.858269 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.840345 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.826216 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.813206 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.798916 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.790875 [13] validation_0-merror:0.35 validation_0-mlogloss:0.781878 [14] validation_0-merror:0.35 validation_0-mlogloss:0.778091 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.769124 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.769063 [17] validation_0-merror:0.35 validation_0-mlogloss:0.76774 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.765647 [19] validation_0-merror:0.35 validation_0-mlogloss:0.765217 [20] validation_0-merror:0.35 validation_0-mlogloss:0.759853 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.757706 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.751253 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746544 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.749577 [25] validation_0-merror:0.35 validation_0-mlogloss:0.749768 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.753675 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.754284 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.753221 Stopping. Best iteration: [23] validation_0-merror:0.333333 validation_0-mlogloss:0.746544 [0] validation_0-merror:0.35 validation_0-mlogloss:1.04855 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.0048 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.970514 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.945384 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.920287 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.896999 [6] validation_0-merror:0.35 validation_0-mlogloss:0.874487 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.861777 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.8498 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.833318 [10] validation_0-merror:0.3 validation_0-mlogloss:0.823943 [11] validation_0-merror:0.3 validation_0-mlogloss:0.814118 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.810034 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80634 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.804468 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.794452 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.78636 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.778476 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.774815 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.774544 [20] validation_0-merror:0.366667 validation_0-mlogloss:0.76782 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.769966 [22] validation_0-merror:0.366667 validation_0-mlogloss:0.765201 [23] validation_0-merror:0.366667 validation_0-mlogloss:0.761468 [24] validation_0-merror:0.366667 validation_0-mlogloss:0.758466 [25] validation_0-merror:0.35 validation_0-mlogloss:0.754601 [26] validation_0-merror:0.35 validation_0-mlogloss:0.753991 [27] validation_0-merror:0.35 validation_0-mlogloss:0.748869 [28] validation_0-merror:0.35 validation_0-mlogloss:0.752027 [29] validation_0-merror:0.35 validation_0-mlogloss:0.754599 [30] validation_0-merror:0.35 validation_0-mlogloss:0.759829 [31] validation_0-merror:0.35 validation_0-mlogloss:0.75645 [32] validation_0-merror:0.35 validation_0-mlogloss:0.758091 Stopping. Best iteration: [27] validation_0-merror:0.35 validation_0-mlogloss:0.748869 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05917 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01854 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.989238 [3] validation_0-merror:0.4 validation_0-mlogloss:0.960976 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.938922 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.914301 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890473 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866444 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847559 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838924 [10] validation_0-merror:0.35 validation_0-mlogloss:0.824459 [11] validation_0-merror:0.35 validation_0-mlogloss:0.811322 [12] validation_0-merror:0.35 validation_0-mlogloss:0.801825 [13] validation_0-merror:0.35 validation_0-mlogloss:0.789189 [14] validation_0-merror:0.35 validation_0-mlogloss:0.782527 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.776388 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.771464 [17] validation_0-merror:0.35 validation_0-mlogloss:0.765858 [18] validation_0-merror:0.35 validation_0-mlogloss:0.762544 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763511 [20] validation_0-merror:0.35 validation_0-mlogloss:0.757383 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758993 [22] validation_0-merror:0.35 validation_0-mlogloss:0.756183 [23] validation_0-merror:0.35 validation_0-mlogloss:0.754612 [24] validation_0-merror:0.35 validation_0-mlogloss:0.75239 [25] validation_0-merror:0.35 validation_0-mlogloss:0.747737 [26] validation_0-merror:0.35 validation_0-mlogloss:0.747961 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.742728 [28] validation_0-merror:0.35 validation_0-mlogloss:0.744353 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.7382 [30] validation_0-merror:0.35 validation_0-mlogloss:0.742933 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.741922 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736672 [33] validation_0-merror:0.35 validation_0-mlogloss:0.741866 [34] validation_0-merror:0.35 validation_0-mlogloss:0.741708 [35] validation_0-merror:0.35 validation_0-mlogloss:0.743446 [36] validation_0-merror:0.35 validation_0-mlogloss:0.746546 [37] validation_0-merror:0.35 validation_0-mlogloss:0.742778 Stopping. Best iteration: [32] validation_0-merror:0.333333 validation_0-mlogloss:0.736672 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06176 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02895 [2] validation_0-merror:0.4 validation_0-mlogloss:0.99964 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.970785 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.94723 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.925481 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.905058 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.88691 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.869918 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.857201 [10] validation_0-merror:0.35 validation_0-mlogloss:0.842925 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831206 [12] validation_0-merror:0.35 validation_0-mlogloss:0.827626 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.818887 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.811267 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.798796 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.79004 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.782445 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.774999 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.767887 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.759331 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.754256 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.748619 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.748286 [24] validation_0-merror:0.3 validation_0-mlogloss:0.744263 [25] validation_0-merror:0.3 validation_0-mlogloss:0.741396 [26] validation_0-merror:0.3 validation_0-mlogloss:0.736713 [27] validation_0-merror:0.3 validation_0-mlogloss:0.733128 [28] validation_0-merror:0.3 validation_0-mlogloss:0.729362 [29] validation_0-merror:0.3 validation_0-mlogloss:0.724063 [30] validation_0-merror:0.3 validation_0-mlogloss:0.716574 [31] validation_0-merror:0.3 validation_0-mlogloss:0.714437 [32] validation_0-merror:0.3 validation_0-mlogloss:0.709336 [33] validation_0-merror:0.3 validation_0-mlogloss:0.706038 [34] validation_0-merror:0.3 validation_0-mlogloss:0.703171 [35] validation_0-merror:0.3 validation_0-mlogloss:0.701146 [36] validation_0-merror:0.3 validation_0-mlogloss:0.696197 [37] validation_0-merror:0.3 validation_0-mlogloss:0.692495 [38] validation_0-merror:0.3 validation_0-mlogloss:0.690506 [39] validation_0-merror:0.3 validation_0-mlogloss:0.689428 [40] validation_0-merror:0.3 validation_0-mlogloss:0.686961 [41] validation_0-merror:0.3 validation_0-mlogloss:0.684797 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.686734 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.683956 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.684823 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.681006 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.680218 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.682151 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.681177 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.67926 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.679525 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.67885 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.677931 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.679584 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.679346 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.678122 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.676854 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.675187 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.673023 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.673918 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.674999 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.673857 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.672542 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.673732 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.674246 [65] validation_0-merror:0.3 validation_0-mlogloss:0.675046 [66] validation_0-merror:0.3 validation_0-mlogloss:0.675163 [67] validation_0-merror:0.3 validation_0-mlogloss:0.675532 Stopping. Best iteration: [62] validation_0-merror:0.283333 validation_0-mlogloss:0.672542 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06046 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02484 [2] validation_0-merror:0.3 validation_0-mlogloss:0.997783 [3] validation_0-merror:0.35 validation_0-mlogloss:0.974448 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.95062 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.922725 [6] validation_0-merror:0.35 validation_0-mlogloss:0.896501 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.87346 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.853268 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.836906 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821478 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.812434 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.806885 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.794621 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.785599 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779859 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.773316 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.762264 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.759493 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755337 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.753125 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.755527 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.745501 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.741471 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736369 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724118 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.722177 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.72437 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724708 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72426 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.719887 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.720725 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.719348 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.717575 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.716779 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.713704 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.716288 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.71363 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.7147 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.717828 [40] validation_0-merror:0.3 validation_0-mlogloss:0.717762 [41] validation_0-merror:0.3 validation_0-mlogloss:0.718106 [42] validation_0-merror:0.3 validation_0-mlogloss:0.723119 Stopping. Best iteration: [37] validation_0-merror:0.316667 validation_0-mlogloss:0.71363 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02758 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997696 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976374 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.954761 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930088 [6] validation_0-merror:0.35 validation_0-mlogloss:0.907913 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893572 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876303 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861628 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847562 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832038 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822053 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809749 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796062 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783798 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775887 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767968 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76186 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755367 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747893 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741631 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732091 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721343 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715531 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705141 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70256 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699858 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699242 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69522 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688759 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684569 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.684399 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68032 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.67783 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.676854 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676476 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.672422 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.671519 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.671072 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.669496 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.666265 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.660851 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.656861 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.651981 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.647741 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.647779 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.646361 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646174 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.641243 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.641293 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.639008 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.638498 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.638152 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.638958 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.638329 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.635721 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.636025 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.637975 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.637099 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.634249 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.632616 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.632989 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.633265 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.629943 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.629353 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.625938 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.625421 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.626359 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.6275 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.630734 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.632735 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.632444 Stopping. Best iteration: [67] validation_0-merror:0.266667 validation_0-mlogloss:0.625421 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06194 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.03174 [2] validation_0-merror:0.35 validation_0-mlogloss:0.995841 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970197 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.949835 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927333 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905433 [7] validation_0-merror:0.35 validation_0-mlogloss:0.891226 [8] validation_0-merror:0.35 validation_0-mlogloss:0.874577 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.859551 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843271 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827822 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.817788 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807484 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.799013 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.785916 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.77906 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.769659 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763433 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.758938 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.752928 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.747003 [22] validation_0-merror:0.3 validation_0-mlogloss:0.73767 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731861 [24] validation_0-merror:0.3 validation_0-mlogloss:0.722013 [25] validation_0-merror:0.3 validation_0-mlogloss:0.711228 [26] validation_0-merror:0.3 validation_0-mlogloss:0.709249 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706658 [28] validation_0-merror:0.3 validation_0-mlogloss:0.708756 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706149 [30] validation_0-merror:0.3 validation_0-mlogloss:0.698793 [31] validation_0-merror:0.3 validation_0-mlogloss:0.694843 [32] validation_0-merror:0.3 validation_0-mlogloss:0.693742 [33] validation_0-merror:0.3 validation_0-mlogloss:0.689364 [34] validation_0-merror:0.3 validation_0-mlogloss:0.687368 [35] validation_0-merror:0.3 validation_0-mlogloss:0.686904 [36] validation_0-merror:0.3 validation_0-mlogloss:0.687359 [37] validation_0-merror:0.3 validation_0-mlogloss:0.683579 [38] validation_0-merror:0.3 validation_0-mlogloss:0.683071 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682796 [40] validation_0-merror:0.3 validation_0-mlogloss:0.681328 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678118 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.678939 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.676071 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.671642 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667805 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.668176 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.668745 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.667059 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.662018 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.66305 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.659604 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.660239 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.659565 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.658789 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.658421 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.659137 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.661112 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.663539 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.662198 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.660786 Stopping. Best iteration: [55] validation_0-merror:0.266667 validation_0-mlogloss:0.658421 [0] validation_0-merror:0.4 validation_0-mlogloss:1.055 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.0146 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.98125 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.955789 [4] validation_0-merror:0.35 validation_0-mlogloss:0.934845 [5] validation_0-merror:0.4 validation_0-mlogloss:0.913866 [6] validation_0-merror:0.35 validation_0-mlogloss:0.890466 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.876286 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.85553 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.838965 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.823948 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.809329 [12] validation_0-merror:0.35 validation_0-mlogloss:0.8004 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790483 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.780655 [15] validation_0-merror:0.35 validation_0-mlogloss:0.772424 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.765064 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.758195 [18] validation_0-merror:0.35 validation_0-mlogloss:0.755835 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.753365 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.75189 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.746216 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.738585 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.731381 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.730419 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.720452 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.717287 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.719561 [28] validation_0-merror:0.35 validation_0-mlogloss:0.718287 [29] validation_0-merror:0.35 validation_0-mlogloss:0.720283 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71396 [31] validation_0-merror:0.35 validation_0-mlogloss:0.711054 [32] validation_0-merror:0.35 validation_0-mlogloss:0.70934 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.703174 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.700341 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.700144 [36] validation_0-merror:0.35 validation_0-mlogloss:0.695997 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.694981 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.694395 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.696774 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.697165 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.695016 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.696926 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.69548 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.694395 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.0599 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01632 [2] validation_0-merror:0.35 validation_0-mlogloss:0.983077 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.953939 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.930095 [5] validation_0-merror:0.3 validation_0-mlogloss:0.903799 [6] validation_0-merror:0.35 validation_0-mlogloss:0.875795 [7] validation_0-merror:0.35 validation_0-mlogloss:0.857833 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.84142 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.826658 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.810713 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.799341 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.789881 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785299 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.778417 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.770481 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.763414 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.757759 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.754887 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.752434 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.750401 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.754005 [22] validation_0-merror:0.3 validation_0-mlogloss:0.745061 [23] validation_0-merror:0.3 validation_0-mlogloss:0.744414 [24] validation_0-merror:0.3 validation_0-mlogloss:0.742449 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.74292 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.741599 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741349 [28] validation_0-merror:0.3 validation_0-mlogloss:0.74479 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.742014 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.74343 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.744536 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.742227 Stopping. Best iteration: [27] validation_0-merror:0.316667 validation_0-mlogloss:0.741349 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06019 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02332 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989031 [3] validation_0-merror:0.35 validation_0-mlogloss:0.96455 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.943401 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.921589 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.901047 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.881819 [8] validation_0-merror:0.3 validation_0-mlogloss:0.865745 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.849831 [10] validation_0-merror:0.3 validation_0-mlogloss:0.834127 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.821026 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.806851 [13] validation_0-merror:0.283333 validation_0-mlogloss:0.792985 [14] validation_0-merror:0.3 validation_0-mlogloss:0.78877 [15] validation_0-merror:0.3 validation_0-mlogloss:0.776267 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.770494 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.76243 [18] validation_0-merror:0.3 validation_0-mlogloss:0.756653 [19] validation_0-merror:0.3 validation_0-mlogloss:0.751885 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.741777 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73615 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.72796 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723304 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.714684 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.70816 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.703354 [27] validation_0-merror:0.266667 validation_0-mlogloss:0.699331 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.70163 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.699226 [30] validation_0-merror:0.3 validation_0-mlogloss:0.692889 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.690624 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.685982 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.681694 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.676637 [35] validation_0-merror:0.266667 validation_0-mlogloss:0.677247 [36] validation_0-merror:0.266667 validation_0-mlogloss:0.676423 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.67155 [38] validation_0-merror:0.266667 validation_0-mlogloss:0.669931 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.667779 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.66374 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.661626 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.663882 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.659784 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.661936 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.659231 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.658847 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.660922 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.660621 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.655568 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.657234 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.657002 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.656334 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.655572 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.654654 [55] validation_0-merror:0.25 validation_0-mlogloss:0.653362 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652467 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.655701 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.657096 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.656603 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.655788 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.654857 Stopping. Best iteration: [56] validation_0-merror:0.266667 validation_0-mlogloss:0.652467 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06296 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.03108 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.996635 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.971845 [4] validation_0-merror:0.3 validation_0-mlogloss:0.950777 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.923737 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.897786 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.878437 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.861423 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.846201 [10] validation_0-merror:0.3 validation_0-mlogloss:0.832918 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.822885 [12] validation_0-merror:0.3 validation_0-mlogloss:0.81362 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801191 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.790825 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781036 [16] validation_0-merror:0.35 validation_0-mlogloss:0.769785 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.759072 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.75488 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.749527 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746117 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.74048 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731618 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.720287 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.714628 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.701767 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.696981 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.693544 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.690139 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69099 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.679165 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.672604 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.670194 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.66766 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.668078 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.666809 [36] validation_0-merror:0.3 validation_0-mlogloss:0.662198 [37] validation_0-merror:0.3 validation_0-mlogloss:0.65834 [38] validation_0-merror:0.3 validation_0-mlogloss:0.658014 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.658203 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.656351 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.655053 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.654242 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.651208 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.651866 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.64821 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.64902 [47] validation_0-merror:0.3 validation_0-mlogloss:0.647459 [48] validation_0-merror:0.3 validation_0-mlogloss:0.64731 [49] validation_0-merror:0.3 validation_0-mlogloss:0.646046 [50] validation_0-merror:0.3 validation_0-mlogloss:0.647712 [51] validation_0-merror:0.3 validation_0-mlogloss:0.64757 [52] validation_0-merror:0.3 validation_0-mlogloss:0.651485 [53] validation_0-merror:0.3 validation_0-mlogloss:0.651303 [54] validation_0-merror:0.3 validation_0-mlogloss:0.650223 Stopping. Best iteration: [49] validation_0-merror:0.3 validation_0-mlogloss:0.646046 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06319 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02787 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.992924 [3] validation_0-merror:0.4 validation_0-mlogloss:0.967761 [4] validation_0-merror:0.35 validation_0-mlogloss:0.941935 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920917 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.898751 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886742 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.869587 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.855543 [10] validation_0-merror:0.35 validation_0-mlogloss:0.845807 [11] validation_0-merror:0.35 validation_0-mlogloss:0.831946 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.821729 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807994 [14] validation_0-merror:0.35 validation_0-mlogloss:0.796097 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.782484 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775138 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767468 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761776 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.756503 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.751153 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.744734 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73487 [23] validation_0-merror:0.3 validation_0-mlogloss:0.723983 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718219 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705731 [26] validation_0-merror:0.3 validation_0-mlogloss:0.702201 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698992 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698844 [29] validation_0-merror:0.3 validation_0-mlogloss:0.695853 [30] validation_0-merror:0.3 validation_0-mlogloss:0.686574 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.679859 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.676231 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.675208 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.673521 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.672269 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.670041 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.665716 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.662849 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.662303 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.66135 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.658123 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.657213 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.655012 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.652445 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.648787 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.647175 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.646742 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.649195 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644321 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.644272 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.641253 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.644795 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.642986 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.641688 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.642352 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.641171 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.641836 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.642469 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.642214 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.64047 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.641879 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.64097 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.641334 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.639703 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.641772 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.640511 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.641054 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.641368 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.638883 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.638096 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.639155 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.639343 [73] validation_0-merror:0.283333 validation_0-mlogloss:0.639642 [74] validation_0-merror:0.283333 validation_0-mlogloss:0.642685 [75] validation_0-merror:0.283333 validation_0-mlogloss:0.641584 Stopping. Best iteration: [70] validation_0-merror:0.283333 validation_0-mlogloss:0.638096 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06326 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02863 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.993497 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972166 [4] validation_0-merror:0.35 validation_0-mlogloss:0.952354 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.930497 [6] validation_0-merror:0.35 validation_0-mlogloss:0.908782 [7] validation_0-merror:0.35 validation_0-mlogloss:0.896456 [8] validation_0-merror:0.35 validation_0-mlogloss:0.877942 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.863691 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.849019 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.833121 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.823115 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808915 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.795763 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.780259 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.772778 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765671 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.758889 [19] validation_0-merror:0.35 validation_0-mlogloss:0.754556 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747571 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741698 [22] validation_0-merror:0.3 validation_0-mlogloss:0.731767 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721619 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715053 [25] validation_0-merror:0.3 validation_0-mlogloss:0.703804 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.700192 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.697678 [28] validation_0-merror:0.3 validation_0-mlogloss:0.696612 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.69193 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.685196 [31] validation_0-merror:0.3 validation_0-mlogloss:0.680558 [32] validation_0-merror:0.3 validation_0-mlogloss:0.678225 [33] validation_0-merror:0.3 validation_0-mlogloss:0.675965 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.672639 [35] validation_0-merror:0.3 validation_0-mlogloss:0.671638 [36] validation_0-merror:0.3 validation_0-mlogloss:0.669694 [37] validation_0-merror:0.3 validation_0-mlogloss:0.665944 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.663009 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.66344 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.661905 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.657676 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.655831 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.653861 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.650302 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.647244 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.646271 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.645655 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646636 [49] validation_0-merror:0.25 validation_0-mlogloss:0.641221 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.640247 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.637011 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.638149 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.637731 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.638987 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.63906 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.639951 Stopping. Best iteration: [51] validation_0-merror:0.266667 validation_0-mlogloss:0.637011 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.06297 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02933 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.99445 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.96961 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.943717 [5] validation_0-merror:0.35 validation_0-mlogloss:0.919276 [6] validation_0-merror:0.35 validation_0-mlogloss:0.897613 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883075 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.866076 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.852007 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842221 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.829404 [12] validation_0-merror:0.35 validation_0-mlogloss:0.820854 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807085 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.794249 [15] validation_0-merror:0.35 validation_0-mlogloss:0.781321 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773808 [17] validation_0-merror:0.35 validation_0-mlogloss:0.763746 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.757273 [19] validation_0-merror:0.35 validation_0-mlogloss:0.753483 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.746339 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.743769 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.734189 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.723264 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.716496 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.706648 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.69966 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.696419 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.694482 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695112 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.685612 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.676949 [32] validation_0-merror:0.3 validation_0-mlogloss:0.673157 [33] validation_0-merror:0.3 validation_0-mlogloss:0.671094 [34] validation_0-merror:0.3 validation_0-mlogloss:0.669285 [35] validation_0-merror:0.3 validation_0-mlogloss:0.668515 [36] validation_0-merror:0.3 validation_0-mlogloss:0.667127 [37] validation_0-merror:0.3 validation_0-mlogloss:0.663193 [38] validation_0-merror:0.3 validation_0-mlogloss:0.65875 [39] validation_0-merror:0.3 validation_0-mlogloss:0.659432 [40] validation_0-merror:0.3 validation_0-mlogloss:0.658548 [41] validation_0-merror:0.3 validation_0-mlogloss:0.65517 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.652837 [43] validation_0-merror:0.3 validation_0-mlogloss:0.650137 [44] validation_0-merror:0.3 validation_0-mlogloss:0.64671 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.643629 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.642922 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.644268 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.645577 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.642223 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.6431 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.641444 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.642551 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.642118 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.642091 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.641739 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.641507 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.641444 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06532 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02876 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.995692 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.972438 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.951192 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.924513 [6] validation_0-merror:0.35 validation_0-mlogloss:0.904861 [7] validation_0-merror:0.35 validation_0-mlogloss:0.892145 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.874127 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.858684 [10] validation_0-merror:0.35 validation_0-mlogloss:0.845918 [11] validation_0-merror:0.35 validation_0-mlogloss:0.832809 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.82182 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808432 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.797329 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.781987 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.774297 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.768722 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.760812 [19] validation_0-merror:0.3 validation_0-mlogloss:0.754795 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746349 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.740442 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.730838 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721618 [24] validation_0-merror:0.3 validation_0-mlogloss:0.711539 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.699265 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.696797 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.69323 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.695044 [29] validation_0-merror:0.3 validation_0-mlogloss:0.690747 [30] validation_0-merror:0.3 validation_0-mlogloss:0.684654 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.6801 [32] validation_0-merror:0.266667 validation_0-mlogloss:0.677448 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.673023 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.67009 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.670067 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.671799 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.670224 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.668839 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.667733 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.665251 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.662373 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.664271 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.66435 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.659424 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.656502 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.653398 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.656153 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.657774 [49] validation_0-merror:0.25 validation_0-mlogloss:0.652807 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653875 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.649972 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.648925 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.648312 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.64958 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.650202 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.648609 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.648807 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.653611 Stopping. Best iteration: [53] validation_0-merror:0.283333 validation_0-mlogloss:0.648312 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05595 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01797 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.982562 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.951508 [4] validation_0-merror:0.35 validation_0-mlogloss:0.925604 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.906647 [6] validation_0-merror:0.35 validation_0-mlogloss:0.880596 [7] validation_0-merror:0.35 validation_0-mlogloss:0.866198 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.842485 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.826031 [10] validation_0-merror:0.3 validation_0-mlogloss:0.809528 [11] validation_0-merror:0.3 validation_0-mlogloss:0.793395 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.782176 [13] validation_0-merror:0.3 validation_0-mlogloss:0.770119 [14] validation_0-merror:0.3 validation_0-mlogloss:0.763888 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.753437 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.747056 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.743908 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.744794 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.738506 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.73509 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.728175 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.718662 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.714249 [24] validation_0-merror:0.3 validation_0-mlogloss:0.707233 [25] validation_0-merror:0.3 validation_0-mlogloss:0.699509 [26] validation_0-merror:0.3 validation_0-mlogloss:0.695278 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699467 [28] validation_0-merror:0.3 validation_0-mlogloss:0.700787 [29] validation_0-merror:0.3 validation_0-mlogloss:0.699777 [30] validation_0-merror:0.3 validation_0-mlogloss:0.694769 [31] validation_0-merror:0.3 validation_0-mlogloss:0.691981 [32] validation_0-merror:0.3 validation_0-mlogloss:0.68916 [33] validation_0-merror:0.3 validation_0-mlogloss:0.684124 [34] validation_0-merror:0.3 validation_0-mlogloss:0.686133 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687825 [36] validation_0-merror:0.3 validation_0-mlogloss:0.686347 [37] validation_0-merror:0.3 validation_0-mlogloss:0.685224 [38] validation_0-merror:0.3 validation_0-mlogloss:0.68354 [39] validation_0-merror:0.3 validation_0-mlogloss:0.685694 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.68531 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.685817 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.684548 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.682306 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.682284 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.681417 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.681351 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.684429 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.691575 [49] validation_0-merror:0.3 validation_0-mlogloss:0.687855 [50] validation_0-merror:0.3 validation_0-mlogloss:0.691432 [51] validation_0-merror:0.3 validation_0-mlogloss:0.691355 Stopping. Best iteration: [46] validation_0-merror:0.316667 validation_0-mlogloss:0.681351 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06348 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.0282 [2] validation_0-merror:0.4 validation_0-mlogloss:0.992296 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.971115 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950844 [5] validation_0-merror:0.35 validation_0-mlogloss:0.928321 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.90579 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.888449 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.870654 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.855288 [10] validation_0-merror:0.35 validation_0-mlogloss:0.839359 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825635 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.815415 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.80198 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.794099 [15] validation_0-merror:0.35 validation_0-mlogloss:0.780598 [16] validation_0-merror:0.35 validation_0-mlogloss:0.773329 [17] validation_0-merror:0.35 validation_0-mlogloss:0.766934 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.761391 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.755334 [20] validation_0-merror:0.3 validation_0-mlogloss:0.746577 [21] validation_0-merror:0.3 validation_0-mlogloss:0.740669 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732192 [23] validation_0-merror:0.3 validation_0-mlogloss:0.726435 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.718982 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.709733 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706866 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.703789 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.703192 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.69811 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.691653 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.688215 [32] validation_0-merror:0.3 validation_0-mlogloss:0.683713 [33] validation_0-merror:0.3 validation_0-mlogloss:0.679277 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.674077 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.674976 [36] validation_0-merror:0.3 validation_0-mlogloss:0.674287 [37] validation_0-merror:0.3 validation_0-mlogloss:0.670448 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.668788 [39] validation_0-merror:0.3 validation_0-mlogloss:0.669158 [40] validation_0-merror:0.3 validation_0-mlogloss:0.668574 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.665246 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.663703 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.661311 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.662271 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.659559 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.659669 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.661605 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.659007 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.655493 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.657048 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.653403 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.654031 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.653509 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.654271 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.653724 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.652518 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.654849 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.65482 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.652617 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.653344 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.654783 Stopping. Best iteration: [56] validation_0-merror:0.283333 validation_0-mlogloss:0.652518 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06064 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02628 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.990527 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.962668 [4] validation_0-merror:0.35 validation_0-mlogloss:0.939048 [5] validation_0-merror:0.3 validation_0-mlogloss:0.916574 [6] validation_0-merror:0.283333 validation_0-mlogloss:0.892129 [7] validation_0-merror:0.3 validation_0-mlogloss:0.872893 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.855182 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.839303 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.829 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.818704 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.808259 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.798242 [14] validation_0-merror:0.3 validation_0-mlogloss:0.786612 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.779071 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770255 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.761263 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.753975 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.749825 [20] validation_0-merror:0.35 validation_0-mlogloss:0.744705 [21] validation_0-merror:0.35 validation_0-mlogloss:0.738021 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.732452 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.721927 [24] validation_0-merror:0.3 validation_0-mlogloss:0.714938 [25] validation_0-merror:0.3 validation_0-mlogloss:0.70741 [26] validation_0-merror:0.3 validation_0-mlogloss:0.703558 [27] validation_0-merror:0.3 validation_0-mlogloss:0.698097 [28] validation_0-merror:0.3 validation_0-mlogloss:0.698237 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.695437 [30] validation_0-merror:0.3 validation_0-mlogloss:0.687629 [31] validation_0-merror:0.3 validation_0-mlogloss:0.685207 [32] validation_0-merror:0.3 validation_0-mlogloss:0.682778 [33] validation_0-merror:0.3 validation_0-mlogloss:0.677899 [34] validation_0-merror:0.3 validation_0-mlogloss:0.674978 [35] validation_0-merror:0.3 validation_0-mlogloss:0.672139 [36] validation_0-merror:0.3 validation_0-mlogloss:0.669649 [37] validation_0-merror:0.3 validation_0-mlogloss:0.66664 [38] validation_0-merror:0.3 validation_0-mlogloss:0.664944 [39] validation_0-merror:0.3 validation_0-mlogloss:0.665077 [40] validation_0-merror:0.3 validation_0-mlogloss:0.662303 [41] validation_0-merror:0.3 validation_0-mlogloss:0.658968 [42] validation_0-merror:0.3 validation_0-mlogloss:0.659303 [43] validation_0-merror:0.3 validation_0-mlogloss:0.65759 [44] validation_0-merror:0.3 validation_0-mlogloss:0.65545 [45] validation_0-merror:0.3 validation_0-mlogloss:0.651709 [46] validation_0-merror:0.3 validation_0-mlogloss:0.650225 [47] validation_0-merror:0.3 validation_0-mlogloss:0.651567 [48] validation_0-merror:0.3 validation_0-mlogloss:0.651286 [49] validation_0-merror:0.3 validation_0-mlogloss:0.649669 [50] validation_0-merror:0.3 validation_0-mlogloss:0.647103 [51] validation_0-merror:0.3 validation_0-mlogloss:0.64598 [52] validation_0-merror:0.3 validation_0-mlogloss:0.648489 [53] validation_0-merror:0.3 validation_0-mlogloss:0.64713 [54] validation_0-merror:0.3 validation_0-mlogloss:0.644584 [55] validation_0-merror:0.3 validation_0-mlogloss:0.645057 [56] validation_0-merror:0.3 validation_0-mlogloss:0.647704 [57] validation_0-merror:0.3 validation_0-mlogloss:0.649568 [58] validation_0-merror:0.3 validation_0-mlogloss:0.649776 [59] validation_0-merror:0.3 validation_0-mlogloss:0.647919 Stopping. Best iteration: [54] validation_0-merror:0.3 validation_0-mlogloss:0.644584 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05345 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.01354 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.978778 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.952184 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.926313 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.903894 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.879922 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.865522 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.848441 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829136 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.813239 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.803077 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.788658 [13] validation_0-merror:0.35 validation_0-mlogloss:0.775945 [14] validation_0-merror:0.35 validation_0-mlogloss:0.768237 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.75981 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.756735 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.752715 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.750981 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.746834 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.743503 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.738953 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.731837 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.726876 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.725754 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.726056 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.72709 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.724682 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.724712 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.726271 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.726064 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.725532 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.724504 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.722917 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.721946 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.724049 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.729276 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.727389 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.726341 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.723736 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.721946 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06184 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02373 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.994043 [3] validation_0-merror:0.35 validation_0-mlogloss:0.969766 [4] validation_0-merror:0.35 validation_0-mlogloss:0.950409 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.927746 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.905131 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.890677 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.872334 [9] validation_0-merror:0.3 validation_0-mlogloss:0.856939 [10] validation_0-merror:0.3 validation_0-mlogloss:0.846917 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.836065 [12] validation_0-merror:0.3 validation_0-mlogloss:0.824555 [13] validation_0-merror:0.3 validation_0-mlogloss:0.807428 [14] validation_0-merror:0.3 validation_0-mlogloss:0.795928 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.78292 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.774188 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.763986 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.756192 [19] validation_0-merror:0.3 validation_0-mlogloss:0.75132 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.743052 [21] validation_0-merror:0.3 validation_0-mlogloss:0.738753 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.728845 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.718348 [24] validation_0-merror:0.3 validation_0-mlogloss:0.710886 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.701099 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.693219 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.688329 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.689588 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.690148 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.680634 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.671167 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.666063 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.665396 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.663756 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.6634 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.662597 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.659904 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.658863 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.658082 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.657511 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.656648 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.65874 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.659879 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.657974 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.655113 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.652394 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.653172 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.654551 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.652754 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.653281 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.653675 Stopping. Best iteration: [46] validation_0-merror:0.283333 validation_0-mlogloss:0.652394 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05843 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02457 [2] validation_0-merror:0.35 validation_0-mlogloss:0.989655 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.960234 [4] validation_0-merror:0.35 validation_0-mlogloss:0.932765 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90563 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.876945 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.853474 [8] validation_0-merror:0.3 validation_0-mlogloss:0.834501 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.81846 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.801653 [11] validation_0-merror:0.3 validation_0-mlogloss:0.793029 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.784624 [13] validation_0-merror:0.3 validation_0-mlogloss:0.773409 [14] validation_0-merror:0.3 validation_0-mlogloss:0.762992 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.755916 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.749201 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.739688 [18] validation_0-merror:0.3 validation_0-mlogloss:0.737136 [19] validation_0-merror:0.3 validation_0-mlogloss:0.732268 [20] validation_0-merror:0.3 validation_0-mlogloss:0.724171 [21] validation_0-merror:0.3 validation_0-mlogloss:0.720213 [22] validation_0-merror:0.3 validation_0-mlogloss:0.715092 [23] validation_0-merror:0.3 validation_0-mlogloss:0.711944 [24] validation_0-merror:0.3 validation_0-mlogloss:0.709036 [25] validation_0-merror:0.3 validation_0-mlogloss:0.700755 [26] validation_0-merror:0.3 validation_0-mlogloss:0.692686 [27] validation_0-merror:0.3 validation_0-mlogloss:0.691953 [28] validation_0-merror:0.3 validation_0-mlogloss:0.693434 [29] validation_0-merror:0.3 validation_0-mlogloss:0.691953 [30] validation_0-merror:0.3 validation_0-mlogloss:0.685677 [31] validation_0-merror:0.3 validation_0-mlogloss:0.686961 [32] validation_0-merror:0.3 validation_0-mlogloss:0.684449 [33] validation_0-merror:0.3 validation_0-mlogloss:0.682463 [34] validation_0-merror:0.3 validation_0-mlogloss:0.682307 [35] validation_0-merror:0.3 validation_0-mlogloss:0.683706 [36] validation_0-merror:0.3 validation_0-mlogloss:0.689087 [37] validation_0-merror:0.3 validation_0-mlogloss:0.687369 [38] validation_0-merror:0.3 validation_0-mlogloss:0.684417 [39] validation_0-merror:0.3 validation_0-mlogloss:0.680761 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678494 [41] validation_0-merror:0.3 validation_0-mlogloss:0.679311 [42] validation_0-merror:0.3 validation_0-mlogloss:0.679946 [43] validation_0-merror:0.3 validation_0-mlogloss:0.676778 [44] validation_0-merror:0.3 validation_0-mlogloss:0.678475 [45] validation_0-merror:0.3 validation_0-mlogloss:0.67937 [46] validation_0-merror:0.3 validation_0-mlogloss:0.679063 [47] validation_0-merror:0.3 validation_0-mlogloss:0.680486 [48] validation_0-merror:0.3 validation_0-mlogloss:0.682247 Stopping. Best iteration: [43] validation_0-merror:0.3 validation_0-mlogloss:0.676778 [0] validation_0-merror:0.4 validation_0-mlogloss:1.06211 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02807 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.993126 [3] validation_0-merror:0.416667 validation_0-mlogloss:0.968205 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943783 [5] validation_0-merror:0.35 validation_0-mlogloss:0.922602 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.900345 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.8877 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.869082 [9] validation_0-merror:0.35 validation_0-mlogloss:0.8549 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.844317 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.829942 [12] validation_0-merror:0.35 validation_0-mlogloss:0.82158 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.808864 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.796039 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.782659 [16] validation_0-merror:0.35 validation_0-mlogloss:0.776328 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768713 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.764334 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.758536 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.754051 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.749677 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.739837 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728458 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721766 [25] validation_0-merror:0.3 validation_0-mlogloss:0.709812 [26] validation_0-merror:0.3 validation_0-mlogloss:0.706277 [27] validation_0-merror:0.3 validation_0-mlogloss:0.704299 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70248 [29] validation_0-merror:0.3 validation_0-mlogloss:0.698042 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688405 [31] validation_0-merror:0.3 validation_0-mlogloss:0.682626 [32] validation_0-merror:0.3 validation_0-mlogloss:0.679632 [33] validation_0-merror:0.3 validation_0-mlogloss:0.676638 [34] validation_0-merror:0.3 validation_0-mlogloss:0.674595 [35] validation_0-merror:0.3 validation_0-mlogloss:0.673753 [36] validation_0-merror:0.3 validation_0-mlogloss:0.671573 [37] validation_0-merror:0.3 validation_0-mlogloss:0.668049 [38] validation_0-merror:0.3 validation_0-mlogloss:0.667436 [39] validation_0-merror:0.3 validation_0-mlogloss:0.66676 [40] validation_0-merror:0.3 validation_0-mlogloss:0.665686 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.662554 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.661762 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.658231 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.654234 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.649952 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.648502 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.647847 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.649931 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.644888 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.645936 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.642966 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.643703 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.643262 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.643388 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.643619 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.641785 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.641546 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.64372 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.64281 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.640285 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.638244 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.637351 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.63765 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.636279 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.635022 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.631675 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.631244 [68] validation_0-merror:0.266667 validation_0-mlogloss:0.63296 [69] validation_0-merror:0.266667 validation_0-mlogloss:0.630628 [70] validation_0-merror:0.266667 validation_0-mlogloss:0.634141 [71] validation_0-merror:0.266667 validation_0-mlogloss:0.636244 [72] validation_0-merror:0.266667 validation_0-mlogloss:0.636104 [73] validation_0-merror:0.266667 validation_0-mlogloss:0.635927 [74] validation_0-merror:0.266667 validation_0-mlogloss:0.636306 Stopping. Best iteration: [69] validation_0-merror:0.266667 validation_0-mlogloss:0.630628 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06267 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02948 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996385 [3] validation_0-merror:0.35 validation_0-mlogloss:0.970222 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.950876 [5] validation_0-merror:0.35 validation_0-mlogloss:0.925514 [6] validation_0-merror:0.35 validation_0-mlogloss:0.900849 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.88304 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.868013 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.852421 [10] validation_0-merror:0.35 validation_0-mlogloss:0.837174 [11] validation_0-merror:0.35 validation_0-mlogloss:0.827353 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.818472 [13] validation_0-merror:0.35 validation_0-mlogloss:0.807416 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.796139 [15] validation_0-merror:0.3 validation_0-mlogloss:0.785299 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.777363 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765336 [18] validation_0-merror:0.3 validation_0-mlogloss:0.758998 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.754366 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.747944 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.7417 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734171 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.728067 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.721751 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710839 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707431 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705373 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705108 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702799 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.693249 [31] validation_0-merror:0.3 validation_0-mlogloss:0.690582 [32] validation_0-merror:0.3 validation_0-mlogloss:0.686857 [33] validation_0-merror:0.3 validation_0-mlogloss:0.682102 [34] validation_0-merror:0.3 validation_0-mlogloss:0.678645 [35] validation_0-merror:0.3 validation_0-mlogloss:0.676637 [36] validation_0-merror:0.3 validation_0-mlogloss:0.674356 [37] validation_0-merror:0.3 validation_0-mlogloss:0.672906 [38] validation_0-merror:0.3 validation_0-mlogloss:0.669425 [39] validation_0-merror:0.3 validation_0-mlogloss:0.667991 [40] validation_0-merror:0.3 validation_0-mlogloss:0.663737 [41] validation_0-merror:0.3 validation_0-mlogloss:0.663023 [42] validation_0-merror:0.3 validation_0-mlogloss:0.663936 [43] validation_0-merror:0.3 validation_0-mlogloss:0.66099 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.659025 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.654721 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.655035 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.653942 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.650645 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.648218 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.64956 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.648075 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.64706 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.645165 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.645576 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.645196 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.642701 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.643158 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.644827 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.645298 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.645866 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.642559 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.641905 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.641908 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.639905 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.64102 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.638302 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.640688 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.642206 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.645391 [70] validation_0-merror:0.3 validation_0-mlogloss:0.645641 [71] validation_0-merror:0.3 validation_0-mlogloss:0.645243 Stopping. Best iteration: [66] validation_0-merror:0.283333 validation_0-mlogloss:0.638302 [0] validation_0-merror:0.4 validation_0-mlogloss:1.05564 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01644 [2] validation_0-merror:0.4 validation_0-mlogloss:0.981376 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.956668 [4] validation_0-merror:0.35 validation_0-mlogloss:0.931062 [5] validation_0-merror:0.35 validation_0-mlogloss:0.908384 [6] validation_0-merror:0.35 validation_0-mlogloss:0.886498 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.871322 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.851383 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.834806 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.821905 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.806911 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.798338 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.786179 [14] validation_0-merror:0.35 validation_0-mlogloss:0.774994 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.770272 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.761453 [17] validation_0-merror:0.35 validation_0-mlogloss:0.754279 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.754812 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.751504 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.745162 [21] validation_0-merror:0.35 validation_0-mlogloss:0.73875 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.73273 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725012 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.721537 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.712345 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.70932 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.709268 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.707309 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.707415 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.701878 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.699769 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.700913 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.696756 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.693343 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.693128 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.693179 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.692816 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.691986 [39] validation_0-merror:0.333333 validation_0-mlogloss:0.693955 [40] validation_0-merror:0.333333 validation_0-mlogloss:0.694217 [41] validation_0-merror:0.333333 validation_0-mlogloss:0.693592 [42] validation_0-merror:0.333333 validation_0-mlogloss:0.693603 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.693341 Stopping. Best iteration: [38] validation_0-merror:0.333333 validation_0-mlogloss:0.691986 [0] validation_0-merror:0.333333 validation_0-mlogloss:1.0614 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.02464 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.988786 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.964409 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.944582 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.923319 [6] validation_0-merror:0.4 validation_0-mlogloss:0.901414 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888998 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.873223 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.858228 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842064 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.827382 [12] validation_0-merror:0.35 validation_0-mlogloss:0.817434 [13] validation_0-merror:0.35 validation_0-mlogloss:0.80232 [14] validation_0-merror:0.35 validation_0-mlogloss:0.793656 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77758 [16] validation_0-merror:0.35 validation_0-mlogloss:0.76873 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.763223 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.757889 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.754533 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748818 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.745035 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.736649 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.728961 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.720843 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.7111 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.707508 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705825 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.705872 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.705791 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.701247 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696434 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694854 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.6927 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688746 [35] validation_0-merror:0.3 validation_0-mlogloss:0.687982 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688205 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.685326 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683138 [39] validation_0-merror:0.3 validation_0-mlogloss:0.680905 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.680151 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.679376 [42] validation_0-merror:0.3 validation_0-mlogloss:0.678206 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.67863 [44] validation_0-merror:0.3 validation_0-mlogloss:0.674273 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.670731 [46] validation_0-merror:0.3 validation_0-mlogloss:0.670818 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.670696 [48] validation_0-merror:0.3 validation_0-mlogloss:0.673331 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.667196 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.666971 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.664272 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.663475 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.664179 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.664373 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.664149 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.664247 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667175 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.663475 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05611 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.333333 validation_0-mlogloss:1.02087 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.989474 [3] validation_0-merror:0.3 validation_0-mlogloss:0.959076 [4] validation_0-merror:0.3 validation_0-mlogloss:0.930765 [5] validation_0-merror:0.3 validation_0-mlogloss:0.910959 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.886006 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.866043 [8] validation_0-merror:0.35 validation_0-mlogloss:0.847539 [9] validation_0-merror:0.35 validation_0-mlogloss:0.829471 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.81296 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.805602 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.795234 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.783885 [14] validation_0-merror:0.35 validation_0-mlogloss:0.773653 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.768245 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.760919 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.754137 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.752395 [19] validation_0-merror:0.383333 validation_0-mlogloss:0.745188 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.73752 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.731026 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.72691 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.723184 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.715793 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.710312 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.706332 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.705672 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704011 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.706483 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.700899 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698066 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.695027 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.694031 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.693009 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.692061 [36] validation_0-merror:0.3 validation_0-mlogloss:0.697269 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.693649 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.692065 [39] validation_0-merror:0.3 validation_0-mlogloss:0.692763 [40] validation_0-merror:0.3 validation_0-mlogloss:0.69076 [41] validation_0-merror:0.3 validation_0-mlogloss:0.690583 [42] validation_0-merror:0.3 validation_0-mlogloss:0.692785 [43] validation_0-merror:0.316667 validation_0-mlogloss:0.688284 [44] validation_0-merror:0.316667 validation_0-mlogloss:0.690012 [45] validation_0-merror:0.316667 validation_0-mlogloss:0.68658 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.685068 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.685364 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.686017 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.682544 [50] validation_0-merror:0.316667 validation_0-mlogloss:0.685862 [51] validation_0-merror:0.316667 validation_0-mlogloss:0.686084 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.689004 [53] validation_0-merror:0.333333 validation_0-mlogloss:0.689237 [54] validation_0-merror:0.316667 validation_0-mlogloss:0.690981 Stopping. Best iteration: [49] validation_0-merror:0.316667 validation_0-mlogloss:0.682544 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06635 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.03234 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.998979 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.972519 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.952878 [5] validation_0-merror:0.35 validation_0-mlogloss:0.927594 [6] validation_0-merror:0.35 validation_0-mlogloss:0.902335 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.884005 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.868618 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854168 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.838564 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.828293 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.819294 [13] validation_0-merror:0.35 validation_0-mlogloss:0.808002 [14] validation_0-merror:0.35 validation_0-mlogloss:0.797201 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.78623 [16] validation_0-merror:0.35 validation_0-mlogloss:0.777102 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.767068 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.760478 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.755089 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.74838 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.741925 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.734515 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.727299 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.717974 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.706219 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.702834 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.700677 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.699243 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.694948 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.684703 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.682323 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.678988 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.674084 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.672999 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.670757 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.669856 [37] validation_0-merror:0.3 validation_0-mlogloss:0.665604 [38] validation_0-merror:0.3 validation_0-mlogloss:0.662583 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.66048 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.657364 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.655295 [42] validation_0-merror:0.3 validation_0-mlogloss:0.655228 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.65324 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.650407 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.646906 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.647819 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.646704 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.644473 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.642955 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.643453 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.640105 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.641151 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.641533 [54] validation_0-merror:0.3 validation_0-mlogloss:0.642454 [55] validation_0-merror:0.3 validation_0-mlogloss:0.643086 [56] validation_0-merror:0.3 validation_0-mlogloss:0.64094 Stopping. Best iteration: [51] validation_0-merror:0.283333 validation_0-mlogloss:0.640105 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06355 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02578 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.992305 [3] validation_0-merror:0.35 validation_0-mlogloss:0.965884 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94583 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.928687 [6] validation_0-merror:0.35 validation_0-mlogloss:0.91074 [7] validation_0-merror:0.4 validation_0-mlogloss:0.899787 [8] validation_0-merror:0.4 validation_0-mlogloss:0.888183 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.872957 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.861655 [11] validation_0-merror:0.383333 validation_0-mlogloss:0.848689 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.842602 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.830387 [14] validation_0-merror:0.383333 validation_0-mlogloss:0.826002 [15] validation_0-merror:0.383333 validation_0-mlogloss:0.813013 [16] validation_0-merror:0.383333 validation_0-mlogloss:0.804295 [17] validation_0-merror:0.383333 validation_0-mlogloss:0.798469 [18] validation_0-merror:0.366667 validation_0-mlogloss:0.791226 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.782066 [20] validation_0-merror:0.35 validation_0-mlogloss:0.774721 [21] validation_0-merror:0.35 validation_0-mlogloss:0.77181 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.765218 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.7656 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.759472 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.752691 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.746791 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.747707 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.744471 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.741795 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.738942 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.734934 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.73309 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.730322 [34] validation_0-merror:0.3 validation_0-mlogloss:0.727508 [35] validation_0-merror:0.3 validation_0-mlogloss:0.725361 [36] validation_0-merror:0.3 validation_0-mlogloss:0.722962 [37] validation_0-merror:0.3 validation_0-mlogloss:0.722563 [38] validation_0-merror:0.3 validation_0-mlogloss:0.721529 [39] validation_0-merror:0.3 validation_0-mlogloss:0.718862 [40] validation_0-merror:0.3 validation_0-mlogloss:0.721492 [41] validation_0-merror:0.3 validation_0-mlogloss:0.719968 [42] validation_0-merror:0.3 validation_0-mlogloss:0.718187 [43] validation_0-merror:0.3 validation_0-mlogloss:0.71985 [44] validation_0-merror:0.3 validation_0-mlogloss:0.717058 [45] validation_0-merror:0.3 validation_0-mlogloss:0.714551 [46] validation_0-merror:0.3 validation_0-mlogloss:0.713136 [47] validation_0-merror:0.3 validation_0-mlogloss:0.71354 [48] validation_0-merror:0.3 validation_0-mlogloss:0.710781 [49] validation_0-merror:0.3 validation_0-mlogloss:0.709689 [50] validation_0-merror:0.3 validation_0-mlogloss:0.708524 [51] validation_0-merror:0.3 validation_0-mlogloss:0.708176 [52] validation_0-merror:0.3 validation_0-mlogloss:0.70757 [53] validation_0-merror:0.3 validation_0-mlogloss:0.707951 [54] validation_0-merror:0.3 validation_0-mlogloss:0.707639 [55] validation_0-merror:0.3 validation_0-mlogloss:0.706672 [56] validation_0-merror:0.3 validation_0-mlogloss:0.706189 [57] validation_0-merror:0.3 validation_0-mlogloss:0.703703 [58] validation_0-merror:0.3 validation_0-mlogloss:0.704367 [59] validation_0-merror:0.3 validation_0-mlogloss:0.704409 [60] validation_0-merror:0.3 validation_0-mlogloss:0.70375 [61] validation_0-merror:0.3 validation_0-mlogloss:0.701757 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.701936 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.701528 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.701306 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.701743 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.700528 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.703986 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.704263 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.703416 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.702562 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.704601 Stopping. Best iteration: [66] validation_0-merror:0.283333 validation_0-mlogloss:0.700528 [0] validation_0-merror:0.383333 validation_0-mlogloss:1.05578 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01401 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975811 [3] validation_0-merror:0.35 validation_0-mlogloss:0.947891 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919872 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.896105 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.867829 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.84728 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.829867 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.814745 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.797886 [11] validation_0-merror:0.3 validation_0-mlogloss:0.783165 [12] validation_0-merror:0.3 validation_0-mlogloss:0.770086 [13] validation_0-merror:0.3 validation_0-mlogloss:0.761176 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.755346 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.747327 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.74449 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.742014 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.736859 [19] validation_0-merror:0.3 validation_0-mlogloss:0.726789 [20] validation_0-merror:0.3 validation_0-mlogloss:0.721105 [21] validation_0-merror:0.3 validation_0-mlogloss:0.724028 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.717881 [23] validation_0-merror:0.3 validation_0-mlogloss:0.713904 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.713902 [25] validation_0-merror:0.3 validation_0-mlogloss:0.713246 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.710237 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708336 [28] validation_0-merror:0.3 validation_0-mlogloss:0.70701 [29] validation_0-merror:0.3 validation_0-mlogloss:0.706559 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.7099 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.707371 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.709406 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.706063 [34] validation_0-merror:0.333333 validation_0-mlogloss:0.705771 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.704746 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.711605 [37] validation_0-merror:0.333333 validation_0-mlogloss:0.709624 [38] validation_0-merror:0.333333 validation_0-mlogloss:0.707523 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.710099 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.70713 Stopping. Best iteration: [35] validation_0-merror:0.333333 validation_0-mlogloss:0.704746 [0] validation_0-merror:0.45 validation_0-mlogloss:1.06029 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01846 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.985939 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.960173 [4] validation_0-merror:0.4 validation_0-mlogloss:0.936589 [5] validation_0-merror:0.4 validation_0-mlogloss:0.917029 [6] validation_0-merror:0.4 validation_0-mlogloss:0.892294 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.879407 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.854824 [9] validation_0-merror:0.35 validation_0-mlogloss:0.838133 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.823922 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.807679 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.799943 [13] validation_0-merror:0.333333 validation_0-mlogloss:0.790735 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.785231 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.77474 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.770085 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.765641 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.766671 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.766465 [20] validation_0-merror:0.35 validation_0-mlogloss:0.764143 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.757194 [22] validation_0-merror:0.3 validation_0-mlogloss:0.750875 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.743999 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.73873 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.732908 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.730054 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.731082 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.732101 [29] validation_0-merror:0.3 validation_0-mlogloss:0.732292 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.725367 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.723749 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.723862 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.723669 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723092 [35] validation_0-merror:0.333333 validation_0-mlogloss:0.724135 [36] validation_0-merror:0.333333 validation_0-mlogloss:0.726697 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.725645 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.725964 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.726602 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.723092 [0] validation_0-merror:0.5 validation_0-mlogloss:1.06273 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.02542 [2] validation_0-merror:0.35 validation_0-mlogloss:0.990267 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.964533 [4] validation_0-merror:0.4 validation_0-mlogloss:0.940307 [5] validation_0-merror:0.383333 validation_0-mlogloss:0.917097 [6] validation_0-merror:0.416667 validation_0-mlogloss:0.899058 [7] validation_0-merror:0.416667 validation_0-mlogloss:0.881945 [8] validation_0-merror:0.35 validation_0-mlogloss:0.868142 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854232 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.84472 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.8341 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.828352 [13] validation_0-merror:0.366667 validation_0-mlogloss:0.819337 [14] validation_0-merror:0.35 validation_0-mlogloss:0.814848 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.805014 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.797405 [17] validation_0-merror:0.366667 validation_0-mlogloss:0.787805 [18] validation_0-merror:0.35 validation_0-mlogloss:0.781827 [19] validation_0-merror:0.35 validation_0-mlogloss:0.769804 [20] validation_0-merror:0.35 validation_0-mlogloss:0.765381 [21] validation_0-merror:0.35 validation_0-mlogloss:0.758807 [22] validation_0-merror:0.35 validation_0-mlogloss:0.753144 [23] validation_0-merror:0.35 validation_0-mlogloss:0.746812 [24] validation_0-merror:0.35 validation_0-mlogloss:0.739342 [25] validation_0-merror:0.35 validation_0-mlogloss:0.736621 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.731378 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.728493 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.72725 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.72444 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.717314 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.715441 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.708776 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.70428 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.700085 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.699035 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.695396 [37] validation_0-merror:0.3 validation_0-mlogloss:0.693472 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.688813 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.689364 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.687771 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.686234 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.684221 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.683125 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.682267 [45] validation_0-merror:0.3 validation_0-mlogloss:0.679066 [46] validation_0-merror:0.3 validation_0-mlogloss:0.678339 [47] validation_0-merror:0.3 validation_0-mlogloss:0.6807 [48] validation_0-merror:0.3 validation_0-mlogloss:0.679088 [49] validation_0-merror:0.3 validation_0-mlogloss:0.67636 [50] validation_0-merror:0.3 validation_0-mlogloss:0.674082 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.672413 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.670954 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.67222 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.671627 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.671065 [56] validation_0-merror:0.3 validation_0-mlogloss:0.669605 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667219 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.665476 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.666834 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.664288 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.664638 [62] validation_0-merror:0.283333 validation_0-mlogloss:0.664654 [63] validation_0-merror:0.283333 validation_0-mlogloss:0.664568 [64] validation_0-merror:0.283333 validation_0-mlogloss:0.664343 [65] validation_0-merror:0.283333 validation_0-mlogloss:0.666859 Stopping. Best iteration: [60] validation_0-merror:0.283333 validation_0-mlogloss:0.664288 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.0616 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0281 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.990482 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.969104 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.946541 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922281 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.899552 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.880517 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.864495 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.849552 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.837045 [11] validation_0-merror:0.3 validation_0-mlogloss:0.825294 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.813755 [13] validation_0-merror:0.3 validation_0-mlogloss:0.80381 [14] validation_0-merror:0.3 validation_0-mlogloss:0.794403 [15] validation_0-merror:0.3 validation_0-mlogloss:0.784284 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.776378 [17] validation_0-merror:0.3 validation_0-mlogloss:0.769229 [18] validation_0-merror:0.3 validation_0-mlogloss:0.763567 [19] validation_0-merror:0.3 validation_0-mlogloss:0.757258 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.751156 [21] validation_0-merror:0.3 validation_0-mlogloss:0.745705 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738182 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.732475 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728614 [25] validation_0-merror:0.3 validation_0-mlogloss:0.725538 [26] validation_0-merror:0.3 validation_0-mlogloss:0.718457 [27] validation_0-merror:0.3 validation_0-mlogloss:0.713324 [28] validation_0-merror:0.3 validation_0-mlogloss:0.710123 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.708342 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.700778 [31] validation_0-merror:0.266667 validation_0-mlogloss:0.697358 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.693798 [33] validation_0-merror:0.266667 validation_0-mlogloss:0.688152 [34] validation_0-merror:0.266667 validation_0-mlogloss:0.685059 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.68379 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.684308 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681087 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.678437 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.677686 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.674289 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.671722 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.672118 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.670245 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.672639 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.668338 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.667205 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.669581 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.668204 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.663991 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.663212 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.660567 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.659159 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.657856 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.657637 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.658515 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.659367 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.658966 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.659357 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.656395 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.652531 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.65106 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.648797 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.650393 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.650141 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.651702 [66] validation_0-merror:0.283333 validation_0-mlogloss:0.650393 [67] validation_0-merror:0.283333 validation_0-mlogloss:0.64918 Stopping. Best iteration: [62] validation_0-merror:0.266667 validation_0-mlogloss:0.648797 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.05703 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.01444 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.976982 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.95044 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.930407 [5] validation_0-merror:0.3 validation_0-mlogloss:0.903645 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.87502 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.861819 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.842565 [9] validation_0-merror:0.3 validation_0-mlogloss:0.820671 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.80767 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.798528 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.786894 [13] validation_0-merror:0.3 validation_0-mlogloss:0.774757 [14] validation_0-merror:0.3 validation_0-mlogloss:0.769305 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.761232 [16] validation_0-merror:0.3 validation_0-mlogloss:0.753207 [17] validation_0-merror:0.3 validation_0-mlogloss:0.747882 [18] validation_0-merror:0.3 validation_0-mlogloss:0.743174 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741882 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.736885 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.737801 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.731143 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.725073 [24] validation_0-merror:0.3 validation_0-mlogloss:0.727161 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723322 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.726907 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.730067 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.733201 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.734378 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.730695 Stopping. Best iteration: [25] validation_0-merror:0.316667 validation_0-mlogloss:0.723322 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06164 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.0267 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991868 [3] validation_0-merror:0.45 validation_0-mlogloss:0.968042 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943807 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.920814 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.898694 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883785 [8] validation_0-merror:0.316667 validation_0-mlogloss:0.866495 [9] validation_0-merror:0.333333 validation_0-mlogloss:0.851783 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840474 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.825812 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.817098 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.804226 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.793316 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.781644 [16] validation_0-merror:0.3 validation_0-mlogloss:0.776074 [17] validation_0-merror:0.3 validation_0-mlogloss:0.768533 [18] validation_0-merror:0.3 validation_0-mlogloss:0.762412 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759301 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752949 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.748165 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740097 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.73104 [24] validation_0-merror:0.3 validation_0-mlogloss:0.728226 [25] validation_0-merror:0.3 validation_0-mlogloss:0.716024 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710373 [27] validation_0-merror:0.3 validation_0-mlogloss:0.708482 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.707519 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.706832 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698645 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.696262 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.694974 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.690887 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.688997 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.6877 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.687877 [37] validation_0-merror:0.3 validation_0-mlogloss:0.683181 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.679614 [39] validation_0-merror:0.3 validation_0-mlogloss:0.679199 [40] validation_0-merror:0.3 validation_0-mlogloss:0.678608 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.675003 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.671621 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.671072 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.670033 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667039 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.668552 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.667411 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.669108 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.669373 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.670204 Stopping. Best iteration: [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667039 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05102 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01034 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.975102 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.944274 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.919518 [5] validation_0-merror:0.35 validation_0-mlogloss:0.895939 [6] validation_0-merror:0.316667 validation_0-mlogloss:0.867156 [7] validation_0-merror:0.283333 validation_0-mlogloss:0.850321 [8] validation_0-merror:0.283333 validation_0-mlogloss:0.834906 [9] validation_0-merror:0.283333 validation_0-mlogloss:0.819746 [10] validation_0-merror:0.283333 validation_0-mlogloss:0.804651 [11] validation_0-merror:0.3 validation_0-mlogloss:0.795136 [12] validation_0-merror:0.283333 validation_0-mlogloss:0.783256 [13] validation_0-merror:0.3 validation_0-mlogloss:0.76969 [14] validation_0-merror:0.283333 validation_0-mlogloss:0.762898 [15] validation_0-merror:0.283333 validation_0-mlogloss:0.755243 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.748924 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.749441 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.750744 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.74785 [20] validation_0-merror:0.283333 validation_0-mlogloss:0.74681 [21] validation_0-merror:0.283333 validation_0-mlogloss:0.742929 [22] validation_0-merror:0.283333 validation_0-mlogloss:0.736704 [23] validation_0-merror:0.283333 validation_0-mlogloss:0.732889 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.731059 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.724919 [26] validation_0-merror:0.283333 validation_0-mlogloss:0.723438 [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722425 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.724301 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.727835 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.725573 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.723971 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.722746 Stopping. Best iteration: [27] validation_0-merror:0.283333 validation_0-mlogloss:0.722425 [0] validation_0-merror:0.366667 validation_0-mlogloss:1.05669 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01469 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.978398 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.955296 [4] validation_0-merror:0.35 validation_0-mlogloss:0.927237 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.90095 [6] validation_0-merror:0.333333 validation_0-mlogloss:0.877762 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.856861 [8] validation_0-merror:0.3 validation_0-mlogloss:0.838454 [9] validation_0-merror:0.3 validation_0-mlogloss:0.820772 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.808271 [11] validation_0-merror:0.3 validation_0-mlogloss:0.794729 [12] validation_0-merror:0.3 validation_0-mlogloss:0.784932 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.774755 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.770249 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.763381 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.752927 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.744849 [18] validation_0-merror:0.3 validation_0-mlogloss:0.741589 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.741761 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.737637 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.739118 [22] validation_0-merror:0.3 validation_0-mlogloss:0.734038 [23] validation_0-merror:0.333333 validation_0-mlogloss:0.730278 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.7242 [25] validation_0-merror:0.3 validation_0-mlogloss:0.715864 [26] validation_0-merror:0.3 validation_0-mlogloss:0.713569 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.712605 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715342 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.718944 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.71387 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.709689 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.707514 [33] validation_0-merror:0.3 validation_0-mlogloss:0.705236 [34] validation_0-merror:0.3 validation_0-mlogloss:0.704893 [35] validation_0-merror:0.3 validation_0-mlogloss:0.705366 [36] validation_0-merror:0.3 validation_0-mlogloss:0.706164 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.705376 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701293 [39] validation_0-merror:0.3 validation_0-mlogloss:0.701553 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.703536 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.704599 [42] validation_0-merror:0.3 validation_0-mlogloss:0.70867 [43] validation_0-merror:0.3 validation_0-mlogloss:0.712653 Stopping. Best iteration: [38] validation_0-merror:0.283333 validation_0-mlogloss:0.701293 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05096 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.00986 [2] validation_0-merror:0.4 validation_0-mlogloss:0.973733 [3] validation_0-merror:0.4 validation_0-mlogloss:0.950958 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.92358 [5] validation_0-merror:0.4 validation_0-mlogloss:0.898754 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.87404 [7] validation_0-merror:0.35 validation_0-mlogloss:0.858617 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.847047 [9] validation_0-merror:0.35 validation_0-mlogloss:0.827253 [10] validation_0-merror:0.3 validation_0-mlogloss:0.810879 [11] validation_0-merror:0.3 validation_0-mlogloss:0.798807 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.790664 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.785761 [14] validation_0-merror:0.35 validation_0-mlogloss:0.785951 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.779453 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.775019 [17] validation_0-merror:0.35 validation_0-mlogloss:0.771991 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76739 [19] validation_0-merror:0.283333 validation_0-mlogloss:0.757116 [20] validation_0-merror:0.3 validation_0-mlogloss:0.757555 [21] validation_0-merror:0.3 validation_0-mlogloss:0.757634 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.750954 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749505 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.751085 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.749738 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.751607 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.752068 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.750819 Stopping. Best iteration: [23] validation_0-merror:0.316667 validation_0-mlogloss:0.749505 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06174 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02562 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996729 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968599 [4] validation_0-merror:0.35 validation_0-mlogloss:0.94365 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.922653 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.903985 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.886427 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.870273 [9] validation_0-merror:0.383333 validation_0-mlogloss:0.857138 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.842977 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.83005 [12] validation_0-merror:0.35 validation_0-mlogloss:0.822059 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.812098 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.80174 [15] validation_0-merror:0.333333 validation_0-mlogloss:0.793533 [16] validation_0-merror:0.35 validation_0-mlogloss:0.78781 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.777871 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767717 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757857 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.748482 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.744604 [22] validation_0-merror:0.3 validation_0-mlogloss:0.738371 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.737651 [24] validation_0-merror:0.283333 validation_0-mlogloss:0.732962 [25] validation_0-merror:0.283333 validation_0-mlogloss:0.729001 [26] validation_0-merror:0.3 validation_0-mlogloss:0.726123 [27] validation_0-merror:0.3 validation_0-mlogloss:0.720026 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.715895 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.714288 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.708897 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.70484 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.700445 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.695294 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.692115 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.690802 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.686152 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.685537 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.683406 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.683949 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.67969 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.677216 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.677028 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.678198 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.679742 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.676035 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.675116 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.676211 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.675859 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.675395 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.675118 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.669833 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.668288 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668114 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.668764 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.669798 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.669021 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.669049 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.670423 Stopping. Best iteration: [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668114 [0] validation_0-merror:0.466667 validation_0-mlogloss:1.05808 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01457 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.977571 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.94832 [4] validation_0-merror:0.4 validation_0-mlogloss:0.924003 [5] validation_0-merror:0.416667 validation_0-mlogloss:0.906425 [6] validation_0-merror:0.4 validation_0-mlogloss:0.876264 [7] validation_0-merror:0.4 validation_0-mlogloss:0.861018 [8] validation_0-merror:0.35 validation_0-mlogloss:0.8404 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.824884 [10] validation_0-merror:0.35 validation_0-mlogloss:0.809512 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.796655 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.788732 [13] validation_0-merror:0.3 validation_0-mlogloss:0.774843 [14] validation_0-merror:0.3 validation_0-mlogloss:0.76825 [15] validation_0-merror:0.3 validation_0-mlogloss:0.757628 [16] validation_0-merror:0.266667 validation_0-mlogloss:0.750196 [17] validation_0-merror:0.3 validation_0-mlogloss:0.744554 [18] validation_0-merror:0.3 validation_0-mlogloss:0.74208 [19] validation_0-merror:0.3 validation_0-mlogloss:0.738984 [20] validation_0-merror:0.3 validation_0-mlogloss:0.737021 [21] validation_0-merror:0.3 validation_0-mlogloss:0.73115 [22] validation_0-merror:0.3 validation_0-mlogloss:0.725259 [23] validation_0-merror:0.3 validation_0-mlogloss:0.719424 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.716646 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.70778 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.703421 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.701986 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.704695 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.702902 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.698377 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.690742 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.687051 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.687155 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.684915 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.685736 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.689329 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.690841 [38] validation_0-merror:0.3 validation_0-mlogloss:0.688196 [39] validation_0-merror:0.3 validation_0-mlogloss:0.690326 Stopping. Best iteration: [34] validation_0-merror:0.316667 validation_0-mlogloss:0.684915 [0] validation_0-merror:0.35 validation_0-mlogloss:1.05316 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.366667 validation_0-mlogloss:1.01505 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.977426 [3] validation_0-merror:0.366667 validation_0-mlogloss:0.952058 [4] validation_0-merror:0.35 validation_0-mlogloss:0.926961 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.901916 [6] validation_0-merror:0.3 validation_0-mlogloss:0.875671 [7] validation_0-merror:0.316667 validation_0-mlogloss:0.859108 [8] validation_0-merror:0.3 validation_0-mlogloss:0.845481 [9] validation_0-merror:0.266667 validation_0-mlogloss:0.828236 [10] validation_0-merror:0.266667 validation_0-mlogloss:0.812785 [11] validation_0-merror:0.283333 validation_0-mlogloss:0.800811 [12] validation_0-merror:0.266667 validation_0-mlogloss:0.789268 [13] validation_0-merror:0.266667 validation_0-mlogloss:0.778989 [14] validation_0-merror:0.266667 validation_0-mlogloss:0.772131 [15] validation_0-merror:0.3 validation_0-mlogloss:0.762338 [16] validation_0-merror:0.283333 validation_0-mlogloss:0.759857 [17] validation_0-merror:0.283333 validation_0-mlogloss:0.753913 [18] validation_0-merror:0.283333 validation_0-mlogloss:0.752005 [19] validation_0-merror:0.3 validation_0-mlogloss:0.748812 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.742952 [21] validation_0-merror:0.316667 validation_0-mlogloss:0.741564 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.737763 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.736528 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.735422 [25] validation_0-merror:0.333333 validation_0-mlogloss:0.736702 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734413 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.735885 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.742497 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.744149 [30] validation_0-merror:0.333333 validation_0-mlogloss:0.746339 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.745525 Stopping. Best iteration: [26] validation_0-merror:0.333333 validation_0-mlogloss:0.734413 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06242 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02627 [2] validation_0-merror:0.416667 validation_0-mlogloss:0.991222 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.969419 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.945155 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.923579 [6] validation_0-merror:0.35 validation_0-mlogloss:0.901371 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.886427 [8] validation_0-merror:0.3 validation_0-mlogloss:0.869339 [9] validation_0-merror:0.3 validation_0-mlogloss:0.854664 [10] validation_0-merror:0.316667 validation_0-mlogloss:0.841506 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.825015 [12] validation_0-merror:0.3 validation_0-mlogloss:0.816122 [13] validation_0-merror:0.3 validation_0-mlogloss:0.803645 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792426 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780023 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.772775 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.765507 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.760213 [19] validation_0-merror:0.333333 validation_0-mlogloss:0.757989 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.752905 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.749035 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740517 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.730924 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.726787 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.714916 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.709012 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.706435 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.706921 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.703345 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.694969 [31] validation_0-merror:0.333333 validation_0-mlogloss:0.693699 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.690883 [33] validation_0-merror:0.333333 validation_0-mlogloss:0.687769 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.685387 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.684689 [36] validation_0-merror:0.3 validation_0-mlogloss:0.68541 [37] validation_0-merror:0.3 validation_0-mlogloss:0.680623 [38] validation_0-merror:0.3 validation_0-mlogloss:0.676565 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.677123 [40] validation_0-merror:0.3 validation_0-mlogloss:0.67601 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.672576 [42] validation_0-merror:0.3 validation_0-mlogloss:0.673613 [43] validation_0-merror:0.3 validation_0-mlogloss:0.673663 [44] validation_0-merror:0.3 validation_0-mlogloss:0.669808 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.667555 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.66943 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.667965 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.669781 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.665082 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.667555 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.664837 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.668123 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.668441 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.668705 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.668481 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.666823 Stopping. Best iteration: [51] validation_0-merror:0.266667 validation_0-mlogloss:0.664837 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06114 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.01913 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.982902 [3] validation_0-merror:0.383333 validation_0-mlogloss:0.952327 [4] validation_0-merror:0.383333 validation_0-mlogloss:0.925379 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.909648 [6] validation_0-merror:0.35 validation_0-mlogloss:0.888411 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.877774 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.86161 [9] validation_0-merror:0.35 validation_0-mlogloss:0.848754 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.83498 [11] validation_0-merror:0.316667 validation_0-mlogloss:0.820021 [12] validation_0-merror:0.3 validation_0-mlogloss:0.807659 [13] validation_0-merror:0.3 validation_0-mlogloss:0.796552 [14] validation_0-merror:0.3 validation_0-mlogloss:0.791315 [15] validation_0-merror:0.3 validation_0-mlogloss:0.782079 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.77245 [17] validation_0-merror:0.3 validation_0-mlogloss:0.76607 [18] validation_0-merror:0.3 validation_0-mlogloss:0.75797 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.760967 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.758538 [21] validation_0-merror:0.3 validation_0-mlogloss:0.75913 [22] validation_0-merror:0.3 validation_0-mlogloss:0.756917 [23] validation_0-merror:0.3 validation_0-mlogloss:0.754579 [24] validation_0-merror:0.3 validation_0-mlogloss:0.753657 [25] validation_0-merror:0.3 validation_0-mlogloss:0.751799 [26] validation_0-merror:0.3 validation_0-mlogloss:0.754671 [27] validation_0-merror:0.3 validation_0-mlogloss:0.758108 [28] validation_0-merror:0.3 validation_0-mlogloss:0.752063 [29] validation_0-merror:0.3 validation_0-mlogloss:0.749296 [30] validation_0-merror:0.3 validation_0-mlogloss:0.751817 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.750209 [32] validation_0-merror:0.3 validation_0-mlogloss:0.749557 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.751764 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.751092 Stopping. Best iteration: [29] validation_0-merror:0.3 validation_0-mlogloss:0.749296 [0] validation_0-merror:0.416667 validation_0-mlogloss:1.06166 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.4 validation_0-mlogloss:1.02483 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.991032 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.970587 [4] validation_0-merror:0.35 validation_0-mlogloss:0.943196 [5] validation_0-merror:0.316667 validation_0-mlogloss:0.921212 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.897133 [7] validation_0-merror:0.333333 validation_0-mlogloss:0.883521 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.868541 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.85363 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.840018 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.826809 [12] validation_0-merror:0.316667 validation_0-mlogloss:0.814938 [13] validation_0-merror:0.316667 validation_0-mlogloss:0.801155 [14] validation_0-merror:0.316667 validation_0-mlogloss:0.792697 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.780469 [16] validation_0-merror:0.316667 validation_0-mlogloss:0.775258 [17] validation_0-merror:0.316667 validation_0-mlogloss:0.769076 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.763382 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.757647 [20] validation_0-merror:0.316667 validation_0-mlogloss:0.748491 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745281 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.73696 [23] validation_0-merror:0.3 validation_0-mlogloss:0.731565 [24] validation_0-merror:0.3 validation_0-mlogloss:0.723409 [25] validation_0-merror:0.3 validation_0-mlogloss:0.714807 [26] validation_0-merror:0.3 validation_0-mlogloss:0.710074 [27] validation_0-merror:0.3 validation_0-mlogloss:0.706234 [28] validation_0-merror:0.283333 validation_0-mlogloss:0.706551 [29] validation_0-merror:0.283333 validation_0-mlogloss:0.70401 [30] validation_0-merror:0.283333 validation_0-mlogloss:0.697093 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.693081 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.690544 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.686283 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.68233 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.684541 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.685103 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.681199 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.679155 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.677024 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.673215 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.669845 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.668768 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.667275 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.669244 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.666207 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.665427 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.668193 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.667282 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.663738 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.664822 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.662252 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.662645 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.661117 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.661904 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.660654 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.657508 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.660356 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.661983 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.660835 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.661569 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.661851 Stopping. Best iteration: [56] validation_0-merror:0.266667 validation_0-mlogloss:0.657508 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.063 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.35 validation_0-mlogloss:1.02911 [2] validation_0-merror:0.316667 validation_0-mlogloss:0.9952 [3] validation_0-merror:0.316667 validation_0-mlogloss:0.973575 [4] validation_0-merror:0.333333 validation_0-mlogloss:0.951188 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.92797 [6] validation_0-merror:0.35 validation_0-mlogloss:0.905236 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.888379 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.872234 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.858337 [10] validation_0-merror:0.383333 validation_0-mlogloss:0.842055 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.830869 [12] validation_0-merror:0.35 validation_0-mlogloss:0.822337 [13] validation_0-merror:0.35 validation_0-mlogloss:0.809317 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.800649 [15] validation_0-merror:0.316667 validation_0-mlogloss:0.788169 [16] validation_0-merror:0.333333 validation_0-mlogloss:0.781217 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.772999 [18] validation_0-merror:0.316667 validation_0-mlogloss:0.767639 [19] validation_0-merror:0.316667 validation_0-mlogloss:0.759028 [20] validation_0-merror:0.333333 validation_0-mlogloss:0.754903 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.751472 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.744513 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.738502 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.730424 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.718665 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.7153 [27] validation_0-merror:0.316667 validation_0-mlogloss:0.713875 [28] validation_0-merror:0.316667 validation_0-mlogloss:0.713155 [29] validation_0-merror:0.316667 validation_0-mlogloss:0.711281 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.703935 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.698147 [32] validation_0-merror:0.316667 validation_0-mlogloss:0.69471 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.688535 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.682833 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.682402 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.682768 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.678913 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.67713 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.675452 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.672139 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.669444 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.669198 [43] validation_0-merror:0.3 validation_0-mlogloss:0.667486 [44] validation_0-merror:0.3 validation_0-mlogloss:0.663241 [45] validation_0-merror:0.3 validation_0-mlogloss:0.659763 [46] validation_0-merror:0.3 validation_0-mlogloss:0.66068 [47] validation_0-merror:0.3 validation_0-mlogloss:0.66242 [48] validation_0-merror:0.3 validation_0-mlogloss:0.660044 [49] validation_0-merror:0.3 validation_0-mlogloss:0.657409 [50] validation_0-merror:0.3 validation_0-mlogloss:0.657832 [51] validation_0-merror:0.3 validation_0-mlogloss:0.652109 [52] validation_0-merror:0.3 validation_0-mlogloss:0.651895 [53] validation_0-merror:0.3 validation_0-mlogloss:0.65038 [54] validation_0-merror:0.3 validation_0-mlogloss:0.652395 [55] validation_0-merror:0.3 validation_0-mlogloss:0.651141 [56] validation_0-merror:0.3 validation_0-mlogloss:0.650128 [57] validation_0-merror:0.3 validation_0-mlogloss:0.651087 [58] validation_0-merror:0.283333 validation_0-mlogloss:0.652563 [59] validation_0-merror:0.283333 validation_0-mlogloss:0.652723 [60] validation_0-merror:0.283333 validation_0-mlogloss:0.652764 [61] validation_0-merror:0.283333 validation_0-mlogloss:0.652076 Stopping. Best iteration: [56] validation_0-merror:0.3 validation_0-mlogloss:0.650128 [0] validation_0-merror:0.433333 validation_0-mlogloss:1.06157 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02522 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.996009 [3] validation_0-merror:0.333333 validation_0-mlogloss:0.969355 [4] validation_0-merror:0.35 validation_0-mlogloss:0.948485 [5] validation_0-merror:0.35 validation_0-mlogloss:0.926179 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.899349 [7] validation_0-merror:0.366667 validation_0-mlogloss:0.883528 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.86512 [9] validation_0-merror:0.35 validation_0-mlogloss:0.847485 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.834048 [11] validation_0-merror:0.35 validation_0-mlogloss:0.820124 [12] validation_0-merror:0.333333 validation_0-mlogloss:0.811798 [13] validation_0-merror:0.35 validation_0-mlogloss:0.800784 [14] validation_0-merror:0.333333 validation_0-mlogloss:0.791623 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.782857 [16] validation_0-merror:0.35 validation_0-mlogloss:0.77786 [17] validation_0-merror:0.35 validation_0-mlogloss:0.768423 [18] validation_0-merror:0.35 validation_0-mlogloss:0.76488 [19] validation_0-merror:0.366667 validation_0-mlogloss:0.765159 [20] validation_0-merror:0.35 validation_0-mlogloss:0.756244 [21] validation_0-merror:0.366667 validation_0-mlogloss:0.753463 [22] validation_0-merror:0.333333 validation_0-mlogloss:0.747272 [23] validation_0-merror:0.35 validation_0-mlogloss:0.741128 [24] validation_0-merror:0.333333 validation_0-mlogloss:0.736478 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.726682 [26] validation_0-merror:0.333333 validation_0-mlogloss:0.727127 [27] validation_0-merror:0.333333 validation_0-mlogloss:0.725427 [28] validation_0-merror:0.333333 validation_0-mlogloss:0.724839 [29] validation_0-merror:0.333333 validation_0-mlogloss:0.723506 [30] validation_0-merror:0.316667 validation_0-mlogloss:0.718704 [31] validation_0-merror:0.316667 validation_0-mlogloss:0.716484 [32] validation_0-merror:0.333333 validation_0-mlogloss:0.714453 [33] validation_0-merror:0.316667 validation_0-mlogloss:0.712685 [34] validation_0-merror:0.316667 validation_0-mlogloss:0.713461 [35] validation_0-merror:0.316667 validation_0-mlogloss:0.71283 [36] validation_0-merror:0.316667 validation_0-mlogloss:0.715964 [37] validation_0-merror:0.316667 validation_0-mlogloss:0.710697 [38] validation_0-merror:0.316667 validation_0-mlogloss:0.709721 [39] validation_0-merror:0.316667 validation_0-mlogloss:0.709539 [40] validation_0-merror:0.316667 validation_0-mlogloss:0.707565 [41] validation_0-merror:0.316667 validation_0-mlogloss:0.708232 [42] validation_0-merror:0.316667 validation_0-mlogloss:0.70511 [43] validation_0-merror:0.333333 validation_0-mlogloss:0.702654 [44] validation_0-merror:0.333333 validation_0-mlogloss:0.705193 [45] validation_0-merror:0.333333 validation_0-mlogloss:0.702614 [46] validation_0-merror:0.316667 validation_0-mlogloss:0.701332 [47] validation_0-merror:0.316667 validation_0-mlogloss:0.699863 [48] validation_0-merror:0.316667 validation_0-mlogloss:0.700554 [49] validation_0-merror:0.316667 validation_0-mlogloss:0.700983 [50] validation_0-merror:0.333333 validation_0-mlogloss:0.699759 [51] validation_0-merror:0.333333 validation_0-mlogloss:0.699597 [52] validation_0-merror:0.316667 validation_0-mlogloss:0.701533 [53] validation_0-merror:0.316667 validation_0-mlogloss:0.704401 [54] validation_0-merror:0.333333 validation_0-mlogloss:0.704517 [55] validation_0-merror:0.333333 validation_0-mlogloss:0.708864 [56] validation_0-merror:0.333333 validation_0-mlogloss:0.70841 Stopping. Best iteration: [51] validation_0-merror:0.333333 validation_0-mlogloss:0.699597 [0] validation_0-merror:0.483333 validation_0-mlogloss:1.06185 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.316667 validation_0-mlogloss:1.02797 [2] validation_0-merror:0.333333 validation_0-mlogloss:0.995242 [3] validation_0-merror:0.35 validation_0-mlogloss:0.968155 [4] validation_0-merror:0.316667 validation_0-mlogloss:0.941609 [5] validation_0-merror:0.333333 validation_0-mlogloss:0.9186 [6] validation_0-merror:0.366667 validation_0-mlogloss:0.900858 [7] validation_0-merror:0.383333 validation_0-mlogloss:0.883906 [8] validation_0-merror:0.383333 validation_0-mlogloss:0.866278 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.854172 [10] validation_0-merror:0.35 validation_0-mlogloss:0.843097 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.832559 [12] validation_0-merror:0.35 validation_0-mlogloss:0.828848 [13] validation_0-merror:0.35 validation_0-mlogloss:0.815858 [14] validation_0-merror:0.366667 validation_0-mlogloss:0.808606 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.796681 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.789641 [17] validation_0-merror:0.333333 validation_0-mlogloss:0.779448 [18] validation_0-merror:0.333333 validation_0-mlogloss:0.773442 [19] validation_0-merror:0.35 validation_0-mlogloss:0.763738 [20] validation_0-merror:0.35 validation_0-mlogloss:0.753177 [21] validation_0-merror:0.333333 validation_0-mlogloss:0.745989 [22] validation_0-merror:0.316667 validation_0-mlogloss:0.740189 [23] validation_0-merror:0.316667 validation_0-mlogloss:0.734366 [24] validation_0-merror:0.316667 validation_0-mlogloss:0.729479 [25] validation_0-merror:0.316667 validation_0-mlogloss:0.724188 [26] validation_0-merror:0.316667 validation_0-mlogloss:0.721629 [27] validation_0-merror:0.3 validation_0-mlogloss:0.717631 [28] validation_0-merror:0.3 validation_0-mlogloss:0.713624 [29] validation_0-merror:0.3 validation_0-mlogloss:0.709004 [30] validation_0-merror:0.3 validation_0-mlogloss:0.705691 [31] validation_0-merror:0.3 validation_0-mlogloss:0.703605 [32] validation_0-merror:0.3 validation_0-mlogloss:0.700606 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.696722 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.693142 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.692769 [36] validation_0-merror:0.283333 validation_0-mlogloss:0.688401 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.68689 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.682724 [39] validation_0-merror:0.283333 validation_0-mlogloss:0.682511 [40] validation_0-merror:0.283333 validation_0-mlogloss:0.679737 [41] validation_0-merror:0.283333 validation_0-mlogloss:0.678364 [42] validation_0-merror:0.283333 validation_0-mlogloss:0.676765 [43] validation_0-merror:0.283333 validation_0-mlogloss:0.673059 [44] validation_0-merror:0.283333 validation_0-mlogloss:0.674774 [45] validation_0-merror:0.283333 validation_0-mlogloss:0.674514 [46] validation_0-merror:0.283333 validation_0-mlogloss:0.67196 [47] validation_0-merror:0.283333 validation_0-mlogloss:0.674286 [48] validation_0-merror:0.283333 validation_0-mlogloss:0.672623 [49] validation_0-merror:0.283333 validation_0-mlogloss:0.671868 [50] validation_0-merror:0.283333 validation_0-mlogloss:0.672113 [51] validation_0-merror:0.283333 validation_0-mlogloss:0.669324 [52] validation_0-merror:0.283333 validation_0-mlogloss:0.667224 [53] validation_0-merror:0.283333 validation_0-mlogloss:0.667321 [54] validation_0-merror:0.283333 validation_0-mlogloss:0.668305 [55] validation_0-merror:0.283333 validation_0-mlogloss:0.668384 [56] validation_0-merror:0.283333 validation_0-mlogloss:0.668534 [57] validation_0-merror:0.283333 validation_0-mlogloss:0.667319 Stopping. Best iteration: [52] validation_0-merror:0.283333 validation_0-mlogloss:0.667224 100%|██████████| 100/100 [00:25<00:00, 3.85it/s, best loss: 0.6259377947387595]
In [52]:
hyperTime = (endHyper - startHyper).seconds
print(f'Hyperopt took {hyperTime} seconds')
Hyperopt took 25 seconds
Best¶
In [53]:
best
Out[53]:
{'colsample_bytree': 0.8632009299148728,
'gamma': 0.09139281803354446,
'max_depth': 2.0,
'min_child_weight': 2.0,
'subsample': 0.6541858602650205}
Fit¶
In [54]:
model = xgb.XGBClassifier(n_estimators=10000,
max_depth=int(best['max_depth']),
min_child_weight=best['min_child_weight'],
gamma=best['gamma'],
colsample_bytree=best['colsample_bytree'],
subsample=best['subsample'],
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
model.fit(X_train_proc, y_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=eval_set,
verbose=True)
[0] validation_0-merror:0.433333 validation_0-mlogloss:1.0623 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.383333 validation_0-mlogloss:1.02758 [2] validation_0-merror:0.366667 validation_0-mlogloss:0.997696 [3] validation_0-merror:0.35 validation_0-mlogloss:0.976374 [4] validation_0-merror:0.366667 validation_0-mlogloss:0.954761 [5] validation_0-merror:0.366667 validation_0-mlogloss:0.930088 [6] validation_0-merror:0.35 validation_0-mlogloss:0.907913 [7] validation_0-merror:0.35 validation_0-mlogloss:0.893572 [8] validation_0-merror:0.333333 validation_0-mlogloss:0.876303 [9] validation_0-merror:0.316667 validation_0-mlogloss:0.861628 [10] validation_0-merror:0.333333 validation_0-mlogloss:0.847562 [11] validation_0-merror:0.333333 validation_0-mlogloss:0.832038 [12] validation_0-merror:0.3 validation_0-mlogloss:0.822053 [13] validation_0-merror:0.3 validation_0-mlogloss:0.809749 [14] validation_0-merror:0.3 validation_0-mlogloss:0.796062 [15] validation_0-merror:0.3 validation_0-mlogloss:0.783798 [16] validation_0-merror:0.3 validation_0-mlogloss:0.775887 [17] validation_0-merror:0.3 validation_0-mlogloss:0.767968 [18] validation_0-merror:0.3 validation_0-mlogloss:0.76186 [19] validation_0-merror:0.3 validation_0-mlogloss:0.755367 [20] validation_0-merror:0.3 validation_0-mlogloss:0.747893 [21] validation_0-merror:0.3 validation_0-mlogloss:0.741631 [22] validation_0-merror:0.3 validation_0-mlogloss:0.732091 [23] validation_0-merror:0.3 validation_0-mlogloss:0.721343 [24] validation_0-merror:0.3 validation_0-mlogloss:0.715531 [25] validation_0-merror:0.3 validation_0-mlogloss:0.705141 [26] validation_0-merror:0.3 validation_0-mlogloss:0.70256 [27] validation_0-merror:0.3 validation_0-mlogloss:0.699858 [28] validation_0-merror:0.3 validation_0-mlogloss:0.699242 [29] validation_0-merror:0.3 validation_0-mlogloss:0.69522 [30] validation_0-merror:0.3 validation_0-mlogloss:0.688759 [31] validation_0-merror:0.283333 validation_0-mlogloss:0.684569 [32] validation_0-merror:0.283333 validation_0-mlogloss:0.684399 [33] validation_0-merror:0.283333 validation_0-mlogloss:0.68032 [34] validation_0-merror:0.283333 validation_0-mlogloss:0.67783 [35] validation_0-merror:0.283333 validation_0-mlogloss:0.676854 [36] validation_0-merror:0.3 validation_0-mlogloss:0.676476 [37] validation_0-merror:0.283333 validation_0-mlogloss:0.672422 [38] validation_0-merror:0.283333 validation_0-mlogloss:0.671519 [39] validation_0-merror:0.266667 validation_0-mlogloss:0.671072 [40] validation_0-merror:0.266667 validation_0-mlogloss:0.669496 [41] validation_0-merror:0.266667 validation_0-mlogloss:0.666265 [42] validation_0-merror:0.266667 validation_0-mlogloss:0.660851 [43] validation_0-merror:0.266667 validation_0-mlogloss:0.656861 [44] validation_0-merror:0.266667 validation_0-mlogloss:0.651981 [45] validation_0-merror:0.266667 validation_0-mlogloss:0.647741 [46] validation_0-merror:0.266667 validation_0-mlogloss:0.647779 [47] validation_0-merror:0.266667 validation_0-mlogloss:0.646361 [48] validation_0-merror:0.266667 validation_0-mlogloss:0.646174 [49] validation_0-merror:0.266667 validation_0-mlogloss:0.641243 [50] validation_0-merror:0.266667 validation_0-mlogloss:0.641293 [51] validation_0-merror:0.266667 validation_0-mlogloss:0.639008 [52] validation_0-merror:0.266667 validation_0-mlogloss:0.638498 [53] validation_0-merror:0.266667 validation_0-mlogloss:0.638152 [54] validation_0-merror:0.266667 validation_0-mlogloss:0.638958 [55] validation_0-merror:0.266667 validation_0-mlogloss:0.638329 [56] validation_0-merror:0.266667 validation_0-mlogloss:0.635721 [57] validation_0-merror:0.266667 validation_0-mlogloss:0.636025 [58] validation_0-merror:0.266667 validation_0-mlogloss:0.637975 [59] validation_0-merror:0.266667 validation_0-mlogloss:0.637099 [60] validation_0-merror:0.266667 validation_0-mlogloss:0.634249 [61] validation_0-merror:0.266667 validation_0-mlogloss:0.632616 [62] validation_0-merror:0.266667 validation_0-mlogloss:0.632989 [63] validation_0-merror:0.266667 validation_0-mlogloss:0.633265 [64] validation_0-merror:0.266667 validation_0-mlogloss:0.629943 [65] validation_0-merror:0.266667 validation_0-mlogloss:0.629353 [66] validation_0-merror:0.266667 validation_0-mlogloss:0.625938 [67] validation_0-merror:0.266667 validation_0-mlogloss:0.625421 [68] validation_0-merror:0.283333 validation_0-mlogloss:0.626359 [69] validation_0-merror:0.283333 validation_0-mlogloss:0.6275 [70] validation_0-merror:0.283333 validation_0-mlogloss:0.630734 [71] validation_0-merror:0.283333 validation_0-mlogloss:0.632735 [72] validation_0-merror:0.283333 validation_0-mlogloss:0.632444 Stopping. Best iteration: [67] validation_0-merror:0.266667 validation_0-mlogloss:0.625421
Out[54]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bytree=0.8632009299148728, gamma=0.09139281803354446,
learning_rate=0.1, max_delta_step=0, max_depth=2,
min_child_weight=2.0, missing=None, n_estimators=10000, n_jobs=1,
nthread=None, num_class=3, objective='multi:softprob',
random_state=0, reg_alpha=0, reg_lambda=1, scale_pos_weight=1,
seed=None, silent=True, subsample=0.6541858602650205,
verbosity=1)
Predict¶
In [55]:
proba = model.predict_proba(X_test_proc, model.best_iteration)
pred = np.argmax(proba, axis=1)
truth = y_test.astype('category').cat.codes
acc = errors(truth, pred);
Accuracy 0.7333333333333333
Confusion Matrix
[[21 0 2]
[ 2 18 7]
[ 4 5 16]]
Classification Report
precision recall f1-score support
0 0.78 0.91 0.84 23
1 0.78 0.67 0.72 27
2 0.64 0.64 0.64 25
accuracy 0.73 75
macro avg 0.73 0.74 0.73 75
weighted avg 0.73 0.73 0.73 75
Log Results¶
In [56]:
resultsDF.loc['Hyperopt'] = [hyperTime, acc]
resultsDF
Out[56]:
| Time | Accuracy | |
|---|---|---|
| Default | 0.0 | 0.666667 |
| GridSearch | 145.0 | 0.733333 |
| RandomSearch | 15.0 | 0.693333 |
| Hyperopt | 25.0 | 0.733333 |
Visualize¶
- Not much variation in log loss given the search space
In [94]:
plt.figure(figsize=(10,8))
plotting.main_plot_history(trials)
avg best error: 0.6259377947387595
In [95]:
plt.figure(figsize=(10,8))
plotting.main_plot_histogram(trials)
Showing Histogram of 100 jobs
In [96]:
plt.figure(figsize=(10,8))
plotting.main_plot_vars(trials)
finite loss range 0.6259377947387595 0.7539914088944594 -0.37406220526124045
Takeaways¶
- Grid Search - finds a good value, extremely expensive
- Consider greedy grid search
- Tune most important variable
- Tune next most important, Third etc
- Changes from N x N x N to N + N + N
- May miss interactions & combinations
- Random Search - Better in practice with respect to search and training time
- Bayesian Optimization > Random Search > Grid Search
Bonus¶
In [60]:
exploreDF = df.copy()
Create Interactions¶
In [61]:
# 2 Way
exploreDF['bone_flesh'] = exploreDF.bone_length * exploreDF.rotting_flesh
exploreDF['bone_hair'] = exploreDF.bone_length * exploreDF.hair_length
exploreDF['bone_soul'] = exploreDF.bone_length * exploreDF.has_soul
exploreDF['hair_flesh'] = exploreDF.hair_length * exploreDF.rotting_flesh
exploreDF['hair_soul'] = exploreDF.hair_length * exploreDF.has_soul
exploreDF['flesh_soul'] = exploreDF.hair_length * exploreDF.rotting_flesh
# 3 Way
exploreDF['bone_flesh_hair'] = exploreDF.bone_length * exploreDF.rotting_flesh * exploreDF.hair_length
exploreDF['flesh_hair_soul'] = exploreDF.rotting_flesh * exploreDF.hair_length * exploreDF.has_soul
exploreDF['hair_soul_bone'] = exploreDF.hair_length * exploreDF.has_soul * exploreDF.bone_length
exploreDF['soul_bone_flesh'] = exploreDF.has_soul * exploreDF.bone_length * exploreDF.rotting_flesh
exploreDF.head()
Out[61]:
| id | bone_length | rotting_flesh | hair_length | has_soul | color | type | bone_flesh | bone_hair | bone_soul | hair_flesh | hair_soul | flesh_soul | bone_flesh_hair | flesh_hair_soul | hair_soul_bone | soul_bone_flesh | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0.354512 | 0.350839 | 0.465761 | 0.781142 | clear | Ghoul | 0.124377 | 0.165118 | 0.276924 | 0.163407 | 0.363825 | 0.163407 | 0.057930 | 0.127644 | 0.128980 | 0.097156 |
| 1 | 1 | 0.575560 | 0.425868 | 0.531401 | 0.439899 | green | Goblin | 0.245113 | 0.305853 | 0.253188 | 0.226307 | 0.233763 | 0.226307 | 0.130253 | 0.099552 | 0.134545 | 0.107825 |
| 2 | 2 | 0.467875 | 0.354330 | 0.811616 | 0.791225 | black | Ghoul | 0.165783 | 0.379735 | 0.370195 | 0.287580 | 0.642171 | 0.287580 | 0.134552 | 0.227541 | 0.300456 | 0.131171 |
| 3 | 4 | 0.776652 | 0.508723 | 0.636766 | 0.884464 | black | Ghoul | 0.395101 | 0.494546 | 0.686921 | 0.323937 | 0.563196 | 0.323937 | 0.251586 | 0.286511 | 0.437408 | 0.349452 |
| 4 | 5 | 0.566117 | 0.875862 | 0.418594 | 0.636438 | green | Ghost | 0.495840 | 0.236973 | 0.360298 | 0.366630 | 0.266409 | 0.366630 | 0.207555 | 0.233337 | 0.150818 | 0.315571 |
Pipeline¶
In [62]:
lb_featuresN = ['bone_length',
'rotting_flesh',
'hair_length',
'has_soul',
'bone_flesh',
'bone_hair',
'bone_soul',
'hair_flesh',
'hair_soul',
'flesh_soul',
'bone_flesh_hair',
'flesh_hair_soul',
'hair_soul_bone',
'soul_bone_flesh']
lb_transformerN = Pipeline(steps=[('scaler', StandardScaler())], verbose=True)
lb_featuresC = ['color']
lb_transformerC = Pipeline(steps=[('ohe', OneHotEncoder())], verbose=True)
lb_preprocessor = ColumnTransformer(transformers=[
('numerical', lb_transformerN, lb_featuresN),
('categorical', lb_transformerC, lb_featuresC)
])
In [63]:
y_lb = exploreDF.type
X_lb = exploreDF.drop(columns=['type', 'id'])
In [64]:
X_lb_train, X_lb_test, y_lb_train, y_lb_test = train_test_split(X_lb, y_lb, test_size=0.2, random_state=46)
X_lb_train, X_lb_val, y_lb_train, y_lb_val = train_test_split(X_lb_train, y_lb_train, test_size=0.2, random_state=46)
In [65]:
lb_pipe = Pipeline(steps=[('pre', lb_preprocessor)])
X_lb_train_proc = lb_pipe.fit_transform(X_lb_train, y_lb_train)
X_lb_val_proc = lb_pipe.fit_transform(X_lb_val, y_lb_val)
X_lb_test_proc = lb_pipe.fit_transform(X_lb_test, y_lb_test)
[Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s [Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s [Pipeline] ............ (step 1 of 1) Processing scaler, total= 0.0s [Pipeline] ............... (step 1 of 1) Processing ohe, total= 0.0s
Models¶
Boosted Model¶
In [116]:
bst_lb = xgb.XGBClassifier(n_estimators=50,
max_depth=2,
min_child_weight=2,
subsample=.95,
colsample_bytree=.8,
gamma=0.05,
objective='mlogloss',
num_class=3,
learning_rate=0.1,
verbosity=1)
In [117]:
lb_eval_set = [(X_lb_val_proc, y_lb_val)]
bst_lb.fit(X_lb_train_proc, y_lb_train,
early_stopping_rounds=5,
eval_metric=[ 'merror', 'mlogloss'],
eval_set=lb_eval_set,
verbose=True)
[0] validation_0-merror:0.383333 validation_0-mlogloss:1.05467 Multiple eval metrics have been passed: 'validation_0-mlogloss' will be used for early stopping. Will train until validation_0-mlogloss hasn't improved in 5 rounds. [1] validation_0-merror:0.416667 validation_0-mlogloss:1.01837 [2] validation_0-merror:0.383333 validation_0-mlogloss:0.979855 [3] validation_0-merror:0.4 validation_0-mlogloss:0.945277 [4] validation_0-merror:0.4 validation_0-mlogloss:0.917638 [5] validation_0-merror:0.4 validation_0-mlogloss:0.895643 [6] validation_0-merror:0.383333 validation_0-mlogloss:0.870751 [7] validation_0-merror:0.4 validation_0-mlogloss:0.852929 [8] validation_0-merror:0.366667 validation_0-mlogloss:0.834907 [9] validation_0-merror:0.366667 validation_0-mlogloss:0.816185 [10] validation_0-merror:0.366667 validation_0-mlogloss:0.801999 [11] validation_0-merror:0.366667 validation_0-mlogloss:0.786399 [12] validation_0-merror:0.366667 validation_0-mlogloss:0.77528 [13] validation_0-merror:0.383333 validation_0-mlogloss:0.765977 [14] validation_0-merror:0.4 validation_0-mlogloss:0.757123 [15] validation_0-merror:0.366667 validation_0-mlogloss:0.74825 [16] validation_0-merror:0.366667 validation_0-mlogloss:0.741618 [17] validation_0-merror:0.4 validation_0-mlogloss:0.735218 [18] validation_0-merror:0.4 validation_0-mlogloss:0.728307 [19] validation_0-merror:0.416667 validation_0-mlogloss:0.720048 [20] validation_0-merror:0.416667 validation_0-mlogloss:0.715385 [21] validation_0-merror:0.416667 validation_0-mlogloss:0.709896 [22] validation_0-merror:0.416667 validation_0-mlogloss:0.70585 [23] validation_0-merror:0.416667 validation_0-mlogloss:0.704988 [24] validation_0-merror:0.383333 validation_0-mlogloss:0.702797 [25] validation_0-merror:0.416667 validation_0-mlogloss:0.697685 [26] validation_0-merror:0.416667 validation_0-mlogloss:0.693642 [27] validation_0-merror:0.416667 validation_0-mlogloss:0.693233 [28] validation_0-merror:0.416667 validation_0-mlogloss:0.692352 [29] validation_0-merror:0.416667 validation_0-mlogloss:0.693874 [30] validation_0-merror:0.416667 validation_0-mlogloss:0.692548 [31] validation_0-merror:0.416667 validation_0-mlogloss:0.693407 [32] validation_0-merror:0.416667 validation_0-mlogloss:0.69269 [33] validation_0-merror:0.4 validation_0-mlogloss:0.690586 [34] validation_0-merror:0.416667 validation_0-mlogloss:0.687647 [35] validation_0-merror:0.4 validation_0-mlogloss:0.684704 [36] validation_0-merror:0.4 validation_0-mlogloss:0.683338 [37] validation_0-merror:0.4 validation_0-mlogloss:0.680728 [38] validation_0-merror:0.4 validation_0-mlogloss:0.682796 [39] validation_0-merror:0.4 validation_0-mlogloss:0.682563 [40] validation_0-merror:0.4 validation_0-mlogloss:0.681857 [41] validation_0-merror:0.4 validation_0-mlogloss:0.682713 [42] validation_0-merror:0.4 validation_0-mlogloss:0.685013 Stopping. Best iteration: [37] validation_0-merror:0.4 validation_0-mlogloss:0.680728
Out[117]:
XGBClassifier(base_score=0.5, booster='gbtree', colsample_bylevel=1,
colsample_bytree=0.8, gamma=0.05, learning_rate=0.1,
max_delta_step=0, max_depth=2, min_child_weight=2, missing=None,
n_estimators=50, n_jobs=1, nthread=None, num_class=3,
objective='multi:softprob', random_state=0, reg_alpha=0,
reg_lambda=1, scale_pos_weight=1, seed=None, silent=True,
subsample=0.95, verbosity=1)
Logistic Regression Model¶
In [118]:
lr = LogisticRegression(penalty='l2', C=1)
lr.fit(X_lb_train_proc, y_lb_train.astype('category').cat.codes)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning. FutureWarning) /Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning. "this warning.", FutureWarning)
Out[118]:
LogisticRegression(C=1, class_weight=None, dual=False, fit_intercept=True,
intercept_scaling=1, l1_ratio=None, max_iter=100,
multi_class='warn', n_jobs=None, penalty='l2',
random_state=None, solver='warn', tol=0.0001, verbose=0,
warm_start=False)
Random Forest¶
In [119]:
rf = RandomForestClassifier(n_estimators=100,
min_samples_leaf=6)
rf.fit(X_lb_train_proc, y_lb_train.astype('category').cat.codes)
Out[119]:
RandomForestClassifier(bootstrap=True, class_weight=None, criterion='gini',
max_depth=None, max_features='auto', max_leaf_nodes=None,
min_impurity_decrease=0.0, min_impurity_split=None,
min_samples_leaf=6, min_samples_split=2,
min_weight_fraction_leaf=0.0, n_estimators=100,
n_jobs=None, oob_score=False, random_state=None,
verbose=0, warm_start=False)
In [120]:
rf.feature_importances_
Out[120]:
array([2.42050595e-02, 5.32070503e-02, 9.01799166e-02, 6.84810604e-02,
3.16055116e-02, 1.06806079e-01, 8.30925123e-02, 2.93121850e-02,
1.64083204e-01, 3.29900525e-02, 4.71243275e-02, 5.54248839e-02,
1.68815573e-01, 3.80319009e-02, 1.08664775e-05, 0.00000000e+00,
1.71498216e-04, 2.53337505e-03, 0.00000000e+00, 3.92494373e-03])
In [121]:
exploreDF.shape
Out[121]:
(371, 17)
Predict¶
In [122]:
truth = y_lb_test.astype('category').cat.codes
Boosted¶
In [123]:
xgb_proba = bst_lb.predict_proba(X_lb_test_proc, bst_lb.best_iteration)
xgb_pred = np.argmax(xgb_proba, axis=1)
acc = errors(truth, xgb_pred);
Accuracy 0.7066666666666667
Confusion Matrix
[[20 0 3]
[ 2 19 8]
[ 5 4 14]]
Classification Report
precision recall f1-score support
0 0.74 0.87 0.80 23
1 0.83 0.66 0.73 29
2 0.56 0.61 0.58 23
accuracy 0.71 75
macro avg 0.71 0.71 0.70 75
weighted avg 0.72 0.71 0.71 75
Logistic¶
In [124]:
lr_pred = lr.predict(X_lb_test_proc)
acc = errors(truth, lr_pred)
Accuracy 0.7466666666666667
Confusion Matrix
[[23 0 2]
[ 3 19 9]
[ 1 4 14]]
Classification Report
precision recall f1-score support
0 0.85 0.92 0.88 25
1 0.83 0.61 0.70 31
2 0.56 0.74 0.64 19
accuracy 0.75 75
macro avg 0.75 0.76 0.74 75
weighted avg 0.77 0.75 0.75 75
Random Forest¶
In [125]:
rf_pred = rf.predict(X_lb_test_proc)
acc = errors(truth, rf_pred)
Accuracy 0.7333333333333333
Confusion Matrix
[[21 0 2]
[ 1 19 8]
[ 5 4 15]]
Classification Report
precision recall f1-score support
0 0.78 0.91 0.84 23
1 0.83 0.68 0.75 28
2 0.60 0.62 0.61 24
accuracy 0.73 75
macro avg 0.73 0.74 0.73 75
weighted avg 0.74 0.73 0.73 75
Ensemble¶
- Ensemble and bote the mode
- This is a "hard" vote where we look at the class
- A "soft" vote takes the probabilities into consideration (add up and pick max)
In [126]:
from scipy.stats import mode
votesDF = pd.DataFrame(columns=['XGB', 'Logistic', 'RF', 'Pred', 'Truth'])
votesDF['XGB'] = pred
votesDF['XGB'] = votesDF.XGB.astype('category').cat.codes
votesDF['Logistic'] = lr_pred
votesDF['RF'] = rf_pred
votesDF['Pred'] = mode(votesDF[['XGB', 'Logistic', 'RF']], axis=1)[0]
votesDF['Truth'] = truth.reset_index(drop=True)
votesDF.head()
Out[126]:
| XGB | Logistic | RF | Pred | Truth | |
|---|---|---|---|---|---|
| 0 | 1 | 1 | 1 | 1 | 1 |
| 1 | 1 | 1 | 1 | 1 | 0 |
| 2 | 0 | 0 | 0 | 0 | 0 |
| 3 | 2 | 2 | 2 | 2 | 2 |
| 4 | 1 | 1 | 1 | 1 | 1 |
In [127]:
ensembleAcc = (votesDF.Pred == votesDF.Truth).sum() / votesDF.shape[0]
print(f'Ensemble Accuracy {ensembleAcc}')
Ensemble Accuracy 0.7466666666666667
Voting Classifier¶
- Example using soft voting
In [128]:
v = VotingClassifier(estimators=[
('xgb', bst_lb),
('lr', lr),
('rf', rf)
], voting='soft', weights=[1,1,1])
In [129]:
v.fit(X_lb_train_proc, y_lb_train)
/Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:432: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning. FutureWarning) /Users/wilsons/anaconda3/envs/pyjup/lib/python3.6/site-packages/sklearn/linear_model/logistic.py:469: FutureWarning: Default multi_class will be changed to 'auto' in 0.22. Specify the multi_class option to silence this warning. "this warning.", FutureWarning)
Out[129]:
VotingClassifier(estimators=[('xgb',
XGBClassifier(base_score=0.5, booster='gbtree',
colsample_bylevel=1,
colsample_bytree=0.8, gamma=0.05,
learning_rate=0.1, max_delta_step=0,
max_depth=2, min_child_weight=2,
missing=None, n_estimators=50,
n_jobs=1, nthread=None, num_class=3,
objective='multi:softprob',
random_state=0, reg_alpha=0,
reg_lambda=1, scale_pos_weight=1,
s...
class_weight=None,
criterion='gini',
max_depth=None,
max_features='auto',
max_leaf_nodes=None,
min_impurity_decrease=0.0,
min_impurity_split=None,
min_samples_leaf=6,
min_samples_split=2,
min_weight_fraction_leaf=0.0,
n_estimators=100,
n_jobs=None,
oob_score=False,
random_state=None,
verbose=0,
warm_start=False))],
flatten_transform=True, n_jobs=None, voting='soft',
weights=[1, 1, 1])
In [130]:
pred = v.predict(X_lb_test_proc)
errors(pred, y_lb_test);
Accuracy 0.76
Confusion Matrix
[[21 3 3]
[ 0 20 3]
[ 1 8 16]]
Classification Report
precision recall f1-score support
Ghost 0.95 0.78 0.86 27
Ghoul 0.65 0.87 0.74 23
Goblin 0.73 0.64 0.68 25
accuracy 0.76 75
macro avg 0.78 0.76 0.76 75
weighted avg 0.78 0.76 0.76 75
Out[130]:
0.76
Final¶
- Really standard approach to this dataset
- Clean up data
- Missing & Standardizing
- Split train, val, test
- Train baseline model
- Hypertune (Hyperopt)
- Bonus work
- Add more EDA
- Feature engineer interactions
- Simple ensemble (soft / hard votes)
- .76 vs leaderboard
- More things to try?
- Hypertune ensemble models
- Add more models to ensemble
- Add color - interations
- Polynomial features
In [ ]: